<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "http://dtd.nlm.nih.gov/publishing/2.0/journalpublishing.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" article-type="review-article" dtd-version="2.0">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JMIR</journal-id>
      <journal-id journal-id-type="nlm-ta">J Med Internet Res</journal-id>
      <journal-title>Journal of Medical Internet Research</journal-title>
      <issn pub-type="epub">1438-8871</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
    <article-id pub-id-type="publisher-id">v18i11e286</article-id>
    <article-id pub-id-type="pmid">27821383</article-id>
    <article-id pub-id-type="doi">10.2196/jmir.5698</article-id>
    <article-categories>
      <subj-group subj-group-type="heading">
        <subject>Review</subject>
      </subj-group>
      <subj-group subj-group-type="article-type">
        <subject>Review</subject>
      </subj-group>
    </article-categories>
    <title-group>
      <article-title>The Use of Social Media in Recruitment for Medical Research Studies: A Scoping Review</article-title>
    </title-group>
    <contrib-group>
      <contrib contrib-type="editor">
        <name>
          <surname>Eysenbach</surname>
          <given-names>Gunther</given-names>
        </name>
      </contrib>
    </contrib-group>
    <contrib-group>
      <contrib contrib-type="reviewer">
        <name>
          <surname>Haines-Saah</surname>
          <given-names>Rebecca</given-names>
        </name>
      </contrib>
      <contrib contrib-type="reviewer">
        <name>
          <surname>Hall</surname>
          <given-names>Eric</given-names>
        </name>
      </contrib>
      <contrib contrib-type="reviewer">
        <name>
          <surname>Apolinário-Hagen</surname>
          <given-names>Jennifer</given-names>
        </name>
      </contrib>
    </contrib-group>
    <contrib-group>
      <contrib contrib-type="author" id="contrib1" corresp="yes" equal-contrib="yes">
      <name name-style="western">
        <surname>Topolovec-Vranic</surname>
        <given-names>Jane</given-names>
      </name>
      <degrees>PhD</degrees>
      <xref rid="aff1" ref-type="aff">1</xref>
      <address>
        <institution>Li Ka Shing Knowledge Institute</institution>
        <institution>St Michael's Hospital</institution>
        <addr-line>30 Bond St, Bond 3-012</addr-line>
        <addr-line>Toronto, ON, M5B 1W8</addr-line>
        <country>Canada</country>
        <phone>1 416 864 6060 ext 3421</phone>
        <fax>1 416 864 5629</fax>
        <email>jtopolovecvranic@outlook.com</email>
      </address>  
      <xref rid="aff2" ref-type="aff">2</xref>
      <ext-link ext-link-type="orcid">http://orcid.org/0000-0001-7695-4212</ext-link></contrib>
      <contrib contrib-type="author" id="contrib2" equal-contrib="yes">
        <name name-style="western">
          <surname>Natarajan</surname>
          <given-names>Karthik</given-names>
        </name>
        <degrees>HBSc</degrees>
        <xref rid="aff1" ref-type="aff">1</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0003-1977-1860</ext-link>
      </contrib>
    </contrib-group>
    <aff id="aff1">
    <sup>1</sup>
    <institution>Li Ka Shing Knowledge Institute</institution>
    <institution>St Michael's Hospital</institution>  
    <addr-line>Toronto, ON</addr-line>
    <country>Canada</country></aff>
    <aff id="aff2">
    <sup>2</sup>
    <institution>Department of Occupational Science and Occupational Therapy</institution>
    <institution>University of Toronto</institution>  
    <addr-line>Toronto, ON</addr-line>
    <country>Canada</country></aff>
    <author-notes>
      <corresp>Corresponding Author: Jane Topolovec-Vranic 
      <email>jtopolovecvranic@outlook.com</email></corresp>
    </author-notes>
    <pub-date pub-type="collection">
      <month>11</month>
      <year>2016</year>
    </pub-date>
    <pub-date pub-type="epub">
      <day>7</day>
      <month>11</month>
      <year>2016</year>
    </pub-date>
    <volume>18</volume>
    <issue>11</issue>
    <elocation-id>e286</elocation-id>
    <!--history from ojs - api-xml-->
    <history>
      <date date-type="received">
        <day>25</day>
        <month>2</month>
        <year>2016</year>
      </date>
      <date date-type="rev-request">
        <day>31</day>
        <month>3</month>
        <year>2016</year>
      </date>
      <date date-type="rev-recd">
        <day>28</day>
        <month>6</month>
        <year>2016</year>
      </date>
      <date date-type="accepted">
        <day>12</day>
        <month>8</month>
        <year>2016</year>
      </date>
    </history>
    <!--(c) the authors - correct author names and publication date here if necessary. Date in form ', dd.mm.yyyy' after jmir.org-->
    <copyright-statement>©Jane Topolovec-Vranic, Karthik Natarajan. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 07.11.2016.</copyright-statement>
    <copyright-year>2016</copyright-year>
    <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0/">
      <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.</p>
    </license>  
    <self-uri xlink:href="http://www.jmir.org/2016/11/e286/" xlink:type="simple"/>
    <abstract>
      <sec sec-type="background">
        <title>Background</title>
        <p>Recruiting an adequate number of participants into medical research studies is challenging for many researchers. Over the past 10 years, the use of social media websites has increased in the general population. Consequently, social media websites are a new, powerful method for recruiting participants into such studies.</p>
      </sec>
      <sec sec-type="objective">
        <title>Objective</title>
        <p>The objective was to answer the following questions: (1) Is the use of social media more effective at research participant recruitment than traditional methods? (2) Does social media recruit a sample of research participants comparable to that recruited via other methods? (3) Is social media more cost-effective at research participant recruitment than traditional methods?</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <p>Using the MEDLINE, PsycINFO, and EMBASE databases, all medical research studies that used social media and at least one other method for recruitment were identified. These studies were then categorized as either interventional studies or observational studies. For each study, the effectiveness of recruitment, demographic characteristics of the participants, and cost-effectiveness of recruitment using social media were evaluated and compared with that of the other methods used. The social media sites used in recruitment were identified, and if a study stated that the target population was “difficult to reach” as identified by the authors of the study, this was noted.</p>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>Out of 30 studies, 12 found social media to be the most effective recruitment method, 15 did not, and 3 found social media to be equally effective as another recruitment method. Of the 12 studies that found social media to be the best recruitment method, 8 were observational studies while 4 were interventional studies. Of the 15 studies that did not find social media to be the best recruitment method, 7 were interventional studies while 8 were observational studies. In total, 8 studies stated that the target population was “hard-to-reach,” and 6 of these studies found social media to be the most effective recruitment method. Out of 14 studies that reported demographic data for participants, 2 studies found that social media recruited a sample comparable to that recruited via traditional methods and 12 did not. Out of 13 studies that reported cost-effectiveness, 5 studies found social media to be the most cost-effective recruitment method, 7 did not, and 1 study found social media equally cost-effective as compared with other methods.</p>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusions</title>
        <p>Only 12 studies out of 30 found social media to be the most effective recruitment method. There is evidence that social media can be the best recruitment method for hard-to-reach populations and observational studies. With only 30 studies having compared recruitment through social media with other methods, more studies need to be done that report the effectiveness of recruitment for each strategy, demographics of participants recruited, and cost-effectiveness of each method.</p>
      </sec>
    </abstract>
    <kwd-group>
      <kwd>patient selection</kwd>
      <kwd>social media</kwd>
      <kwd>social networking</kwd>
      <kwd>intervention study</kwd>
      <kwd>observational study</kwd>
      <kwd>Internet</kwd>
    </kwd-group></article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>For any study, recruitment of an adequate number of participants who reflect the targeted population is essential. Failure to achieve this goal can compromise the validity of the results, increase costs, and delay or even cause early termination of the study [<xref ref-type="bibr" rid="ref1">1</xref>]. This is a major problem today; less than 20% of clinical trials finish on time [<xref ref-type="bibr" rid="ref2">2</xref>]. Roughly half of these delays are due to difficulties in patient recruitment [<xref ref-type="bibr" rid="ref2">2</xref>].</p>
      <p>Web 2.0, or interactive communication through the Web represents a valuable method of sharing information. In 2015, 90% of Canadian households had access to the Web [<xref ref-type="bibr" rid="ref3">3</xref>]. At the forefront of Web usage today are social media websites. For the purposes of this paper, social media websites are defined as websites that let users make profiles and use these profiles to connect and interact with other individuals. The use of such websites is constantly growing, reflecting the population as a whole. As of 2015, the majority of Canadians use social media. The most popular social media website is Facebook with 59% of Canadians having an account [<xref ref-type="bibr" rid="ref4">4</xref>]. While detailed statistics on the increasing use of social media are not available for Canada, in the United States, 65% of US adults used a social media website in 2015, an increase from 7% in 2005 [<xref ref-type="bibr" rid="ref5">5</xref>]. While use increased from 12% to 90% from 2005 to 2015 for the age group 18-29 years, more recently its use has increased rapidly in older populations—it is now used by 77% of 30- to 49-year-olds, 51% of 50- to 64-year-olds, and 35% of those aged 65+ years, increasing from 8%, 5%, and 2%, respectively, in 2005 [<xref ref-type="bibr" rid="ref5">5</xref>]. Furthermore, 56% of low-income individuals now report using social media [<xref ref-type="bibr" rid="ref5">5</xref>].</p>
      <p>As a result of these increases in social media usage over the last few years, social media represents a potential source for recruitment of participants. Studies have shown that a high volume of individuals can be successfully recruited for research purposes using social media [<xref ref-type="bibr" rid="ref6">6</xref>-<xref ref-type="bibr" rid="ref8">8</xref>]. Researchers have utilized these sites, such as Facebook, for recruitment of individuals into their studies [<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref7">7</xref>]. Recruitment through this method has been shown to be cost-effective [<xref ref-type="bibr" rid="ref6">6</xref>-<xref ref-type="bibr" rid="ref8">8</xref>]. Additionally, social media has been shown to recruit populations that cannot be easily accessed through traditional methods of recruitment [<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref10">10</xref>], a specific example of which is low-income populations [<xref ref-type="bibr" rid="ref11">11</xref>].</p>
      <p>Literature reviews on the role of social media in recruitment have been done by Park and Calamaro [<xref ref-type="bibr" rid="ref12">12</xref>] and Ryan [<xref ref-type="bibr" rid="ref13">13</xref>]. These reviews also identified social media as being effective in recruiting both hard-to-reach populations and adolescents and young adults (AYAs), as well as being cost-effective. However, the majority of these studies have only looked at AYAs and not older populations where social media usage has increased. Furthermore, many of these studies have not directly compared recruitment via social media with that via traditional methods. To fill these gaps, a scoping review was conducted to answer the following questions: (1) Is social media more effective at research participant recruitment than traditional methods? (2) Does social media recruit a sample of research participants comparable to that recruited via other methods? (3) Is social media more cost-effective at research participant recruitment than traditional methods?</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Search Strategy</title>
        <p>A scoping review was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Articles appearing in a journal and written in English were included. Review articles, abstracts, dissertations, narratives, and letters were excluded.</p>
        <sec>
          <title>Types of Participants</title>
          <p>Study participants included adults and children participating in any health care–related research study including recruitment via social media.</p>
        </sec>
        <sec>
          <title>Types of Interventions</title>
          <p>Any type of interventional study or observational study was included.</p>
        </sec>
        <sec>
          <title>Types of Controls or Comparators</title>
          <p>Studies with recruitment via at least one other method such as newspaper, in person, and telephone were included.</p>
        </sec>
        <sec>
          <title>Types of Outcomes</title>
          <p>Three outcomes were assessed for this review: (1) <italic>effectiveness</italic> of recruitment, (2) <italic>comparativeness</italic> of recruited participants in relation to the population of interest, and (3) <italic>cost-effectiveness</italic> of recruitment. The <italic>effectiveness</italic> of recruitment was measured as the number of participants recruited via social media over a given time period as compared with the other recruitment methods. <italic>Comparativeness</italic> of the recruitment of participants was assessed by comparing the demographic characteristics of patients recruited via social media with that of other methods. <italic>Cost-effectiveness</italic> of each recruitment method was determined by dividing the total cost of advertisement for a particular recruitment strategy by the total number of participants recruited through that strategy.</p>
        </sec>
        <sec>
          <title>Information Sources and Search Strategy</title>
          <p>The original literature search was conducted between July 8 and July 11, 2014, using the databases MEDLINE (1946-2014), PsycINFO (1987-2014), and EMBASE (1980-2014 week 27). The search was updated on May 7 and May 8, 2015, as well as on July 26 and July 27, 2016. The search terms for the MEDLINE database were as follows: (“Recruit*” OR “Patient Selection (MeSH) (Medical Subject Headings) or Patient Recruit*” OR “Subject Recruit*” OR “Participant Recruit*” OR “Recruit* Strategies”) AND (“Social Media (MeSH) or Social Media” OR “Social Network” OR “Social Networking (MeSH) or Social Networking” OR “Facebook” OR “Youtube” OR “Qzone” OR “Sina Weibo” OR “WhatsApp” OR “Google+” OR “Tumblr” OR “Twitter” OR “WeChat” OR “Tencent Weibo” OR “LinkedIn” OR “Youku” OR “Instagram” OR “Tudou” OR “RenRen” OR “Pinterest” OR “Badoo” OR “Orkut” OR “Foursquare” OR “Vine” OR “Vkontakte” OR “Myspace” OR “Snapchat” OR “Reddit” OR “Bebo” OR “Hi5”). <xref ref-type="app" rid="app1">Multimedia Appendix 1</xref> contains the full search strategy. After the articles were found, the reference lists of relevant studies were searched for additional studies. To be as comprehensive as possible, social media sites used primarily outside North America were also included in the search.</p>
        </sec>
      </sec>
      <sec>
        <title>Screening Process</title>
        <p>The screening process involved 2 stages: (1) title and abstract exclusion and (2) full-text exclusion. Titles were excluded if they were not related to health care or the topic of social media and recruitment. Abstracts were excluded if they were not a primary journal article, unrelated to social media and recruitment, or did not use social media in the recruitment strategy. Full-text studies were excluded if they did not measure the primary outcome (<italic>effectiveness</italic> of recruitment) or did not have an appropriate control group.</p>
      </sec>
      <sec>
        <title>Data Extraction</title>
        <p>The relevant studies were then screened for data, including the number of people recruited via each method, the demographic characteristics of the study participants (age, sex, ethnicity, economic status, and educational level), characteristics of the study (country of origin, social media sites used, other recruitment methods, the method used to measure primary outcome, and geographic distribution), reported costs of recruitment activities, and incentives.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Study Selection</title>
        <p>The search produced 2658 results, out of which 71 results were duplicates (<xref ref-type="fig" rid="figure1">Figure 1</xref>), leaving 2587 results. From these results, 2385 were excluded because the titles were irrelevant to the topic of social media and recruitment, leaving 202 abstracts to be reviewed. From this, 172 more abstracts were excluded because they were not primary research articles (n=65), were not health care–related or did not deal with recruitment specifically (n=35), did not use social media for recruitment (n=55), or did not have a comparison recruitment method (n=17). This left 30 full-text articles to be assessed for eligibility. Out of this total, 16 more of these studies were excluded because they did not measure the number of people recruited via social media over a given period of time (n=11), were not health care–related (n=3), did not use social media sites (n=1), or were not primary research articles (n=1). A total of 6 additional studies were found after redoing the search in May 2015, 9 additional studies were found in July 2016, and 1 additional study was added in August 2016, for a total of n=30 articles that were included in the review.</p>
      </sec>
      <sec>
        <title>Recruitment Effectiveness</title>
        <p>The percentage of participants recruited via social media ranged from 0% (0/12) to 98.29% (1610/1638) [<xref ref-type="bibr" rid="ref14">14</xref>-<xref ref-type="bibr" rid="ref42">42</xref>] as shown in <xref ref-type="table" rid="table1">Table 1</xref>, and the median percentage was 32%. The article by Head et al [<xref ref-type="bibr" rid="ref35">35</xref>] has 2 studies and has been counted as 2 articles for the purpose of <xref ref-type="fig" rid="figure1">Figure 1</xref>. In further sections of this paper, the article by Head et al [<xref ref-type="bibr" rid="ref35">35</xref>] is counted as a single article or 2 articles, according to whether the conclusions from the 2 studies pertinent to the outcomes of this paper are the same or different. Out of 30 studies, 12 studies (40%) reported higher rates of recruitment through social media as compared with any of the other methods used [<xref ref-type="bibr" rid="ref14">14</xref>-<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref32">32</xref>,<xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref42">42</xref>] and 15 studies (50%) reported recruitment via social media to be less effective than at least one other method used [<xref ref-type="bibr" rid="ref18">18</xref>-<xref ref-type="bibr" rid="ref21">21</xref>,<xref ref-type="bibr" rid="ref23">23</xref>-<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref33">33</xref>-<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>-<xref ref-type="bibr" rid="ref40">40</xref>]. Heffner et al [<xref ref-type="bibr" rid="ref20">20</xref>] and Rabin et al [<xref ref-type="bibr" rid="ref24">24</xref>] found social media to be the least effective method out of multiple (&#62;2) recruitment methods used. Rabin et al [<xref ref-type="bibr" rid="ref24">24</xref>] were unable to recruit a single participant via social media.</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Search strategy results.</p>
          </caption>
          <graphic xlink:href="jmir_v18i11e286_fig1.jpg" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>The percentage of participants recruited through social media by study (the number of participants recruited through social media is also provided in parentheses, when reported).</p>
          </caption>
          <table width="623" cellpadding="7" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="100"/>
            <col width="297"/>
            <thead>
              <tr valign="top">
                <td>Primary article</td>
                <td>Percentage of participants recruited through social media</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Balfe et al [<xref ref-type="bibr" rid="ref14">14</xref>]</td>
                <td>76% (29/38)</td>
              </tr>
              <tr valign="top">
                <td>Frandsen et al [<xref ref-type="bibr" rid="ref15">15</xref>]</td>
                <td>51.9% (138/266)</td>
              </tr>
              <tr valign="top">
                <td>Johnson et al [<xref ref-type="bibr" rid="ref16">16</xref>]</td>
                <td>49.6% (402/811)</td>
              </tr>
              <tr valign="top">
                <td>Yuan et al [<xref ref-type="bibr" rid="ref17">17</xref>]</td>
                <td>81.09% (1544/1904)</td>
              </tr>
              <tr valign="top">
                <td>Burrell et al [<xref ref-type="bibr" rid="ref18">18</xref>]</td>
                <td>23.8% (24/105)</td>
              </tr>
              <tr valign="top">
                <td>Graham et al [<xref ref-type="bibr" rid="ref19">19</xref>]</td>
                <td>8.0% (40/500)</td>
              </tr>
              <tr valign="top">
                <td>Heffner et al [<xref ref-type="bibr" rid="ref20">20</xref>]</td>
                <td>5.0% (11/222)</td>
              </tr>
              <tr valign="top">
                <td>Layi et al [<xref ref-type="bibr" rid="ref21">21</xref>]</td>
                <td>20.0%</td>
              </tr>
              <tr valign="top">
                <td>Martinez et al [<xref ref-type="bibr" rid="ref22">22</xref>]</td>
                <td>36% (5/14)</td>
              </tr>
              <tr valign="top">
                <td>Quach et al [<xref ref-type="bibr" rid="ref23">23</xref>]</td>
                <td>17.0% (81/477)</td>
              </tr>
              <tr valign="top">
                <td>Rabin et al [<xref ref-type="bibr" rid="ref24">24</xref>]</td>
                <td>0% (0/12)</td>
              </tr>
              <tr valign="top">
                <td>Shere et al [<xref ref-type="bibr" rid="ref25">25</xref>]</td>
                <td>4% (2/45)</td>
              </tr>
              <tr valign="top">
                <td>Theriault et al [<xref ref-type="bibr" rid="ref26">26</xref>]</td>
                <td>83.8% (201/240)</td>
              </tr>
              <tr valign="top">
                <td>Vial et al [<xref ref-type="bibr" rid="ref27">27</xref>]</td>
                <td>12.77% (163/1276)</td>
              </tr>
              <tr valign="top">
                <td>Carlini et al [<xref ref-type="bibr" rid="ref28">28</xref>]</td>
                <td>41.4% (286/690)</td>
              </tr>
              <tr valign="top">
                <td>Haines-Saah et al [<xref ref-type="bibr" rid="ref29">29</xref>]</td>
                <td>28% (17/60)</td>
              </tr>
              <tr valign="top">
                <td>Miyagi et al [<xref ref-type="bibr" rid="ref30">30</xref>]</td>
                <td>52.3% (127/243)</td>
              </tr>
              <tr valign="top">
                <td>Wilkerson et al [<xref ref-type="bibr" rid="ref31">31</xref>]</td>
                <td>93.3% (320/343)</td>
              </tr>
              <tr valign="top">
                <td>Ince et al [<xref ref-type="bibr" rid="ref32">32</xref>]</td>
                <td>77% (74/96)</td>
              </tr>
              <tr valign="top">
                <td>Hernandez-Romieu et al [<xref ref-type="bibr" rid="ref33">33</xref>]</td>
                <td>13.7% (110/803)</td>
              </tr>
              <tr valign="top">
                <td>Rait et al [<xref ref-type="bibr" rid="ref34">34</xref>]</td>
                <td>22.5% (45/200)</td>
              </tr>
              <tr valign="top">
                <td>Head et al [<xref ref-type="bibr" rid="ref35">35</xref>], study 1</td>
                <td>98.29% (1610/1638)</td>
              </tr>
              <tr valign="top">
                <td>Head et al [<xref ref-type="bibr" rid="ref35">35</xref>], study 2</td>
                <td>3.8% (5/131)</td>
              </tr>
              <tr valign="top">
                <td>Kayrouz et al [<xref ref-type="bibr" rid="ref36">36</xref>]</td>
                <td>86% (70/81)</td>
              </tr>
              <tr valign="top">
                <td>Gu et al [<xref ref-type="bibr" rid="ref37">37</xref>]</td>
                <td>37.4% (58/155)</td>
              </tr>
              <tr valign="top">
                <td>Subbaraman et al [<xref ref-type="bibr" rid="ref38">38</xref>]</td>
                <td>7.0%</td>
              </tr>
              <tr valign="top">
                <td>Khatri et al [<xref ref-type="bibr" rid="ref39">39</xref>]</td>
                <td>18.2% (96/527)</td>
              </tr>
              <tr valign="top">
                <td>Partridge et al [<xref ref-type="bibr" rid="ref40">40</xref>]</td>
                <td>2.0% (5/250)</td>
              </tr>
              <tr valign="top">
                <td>Carter-Harris et al [<xref ref-type="bibr" rid="ref41">41</xref>]</td>
                <td>91.7% (331/361)</td>
              </tr>
              <tr valign="top">
                <td>Frandsen et al [<xref ref-type="bibr" rid="ref42">42</xref>]</td>
                <td>52.6% (92/175)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Of the 12 studies that found social media to be the best method of recruitment, 8 were observational studies [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref41">41</xref>] and the remaining 4 were interventional studies [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref32">32</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref42">42</xref>], as shown in <xref ref-type="app" rid="app2">Multimedia Appendix 2</xref>. In addition, 6 of these studies targeted populations deemed hard to reach [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref32">32</xref>,<xref ref-type="bibr" rid="ref36">36</xref>], and 6 studies targeted specific conditions or disorders [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref32">32</xref>]. Furthermore, 1 study targeted only young adults (aged 23-30 years) [<xref ref-type="bibr" rid="ref14">14</xref>]. Among the 12 studies, 8 studies used only Facebook for recruitment [<xref ref-type="bibr" rid="ref14">14</xref>-<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. Of the remaining 4 studies, 2 studies used a combination of Facebook and Twitter [<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref32">32</xref>] and 2 studies used a combination of Facebook and other social media websites [<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref26">26</xref>].</p>
        <p>Of the 15 studies that did not find social media to be the best method, 7 studies were interventional studies [<xref ref-type="bibr" rid="ref18">18</xref>-<xref ref-type="bibr" rid="ref21">21</xref>,<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref40">40</xref>], whereas 8 were observational studies [<xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref33">33</xref>-<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>-<xref ref-type="bibr" rid="ref39">39</xref>]. Of these studies, 3 studies specifically targeted young and middle-aged adults [<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref40">40</xref>], 2 studies targeted adolescents [<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref37">37</xref>], and 2 studies targeted older adults [<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref41">41</xref>]. Martinez et al [<xref ref-type="bibr" rid="ref22">22</xref>] recruited 35.7% of participants via social media and 35.7% of participants via community-based organizations. Haines-Saah et al [<xref ref-type="bibr" rid="ref29">29</xref>] recruited 28% of participants via social media and 28% of participants via friend referral. Miyagi et al [<xref ref-type="bibr" rid="ref30">30</xref>] recruited 52% of participants through Facebook and 48% via a website. The studies by Martinez et al [<xref ref-type="bibr" rid="ref22">22</xref>] and Haines-Saah et al [<xref ref-type="bibr" rid="ref29">29</xref>] were both interventional studies, whereas the study by Miyagi et al [<xref ref-type="bibr" rid="ref30">30</xref>] was an observational study.</p>
      </sec>
      <sec>
        <title>Demographics</title>
        <p>A total of 23 studies reported the geographic regions targeted by social media during recruitment, as shown in <xref ref-type="app" rid="app2">Multimedia Appendix 2</xref>. Among these, 13 studies targeted local regions within a country [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref33">33</xref>-<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref40">40</xref>,<xref ref-type="bibr" rid="ref42">42</xref>], 8 studies [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref41">41</xref>] targeted recruitment nationally, and 2 studies targeted recruitment internationally [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref36">36</xref>].</p>
        <p>Only 13 studies out of 30 reported at least one demographic characteristic for patients recruited through social media and other methods [<xref ref-type="bibr" rid="ref15">15</xref>-<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref42">42</xref>], with 10 studies providing in-depth demographic information [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. However, Shere et al [<xref ref-type="bibr" rid="ref25">25</xref>] and Yuan et al [<xref ref-type="bibr" rid="ref17">17</xref>] included Craigslist in their definition of social media; therefore, their demographic analysis was not included in this review because Craigslist does not fall under our definition of a social media website.</p>
        <p>With respect to ethnicity, it was found that there was no significant difference between recruitment strategies in 5 studies [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]. Despite social media recruiting different percentages of white and black participants compared with other avenues, Hernandez-Romieu et al [<xref ref-type="bibr" rid="ref33">33</xref>] concluded that social media did not have a racial bias in recruitment, as in this case the researchers were deliberately aiming at a 50% white and 50% black sample. However, Burrell et al [<xref ref-type="bibr" rid="ref18">18</xref>], who used Grindr to recruit, noted a significantly increased white population when compared with traditional methods, which they attributed to the fact that Grindr could only be used by individuals possessing a smartphone. Head et al [<xref ref-type="bibr" rid="ref35">35</xref>] (studies 1 and 2) and Carter-Harris et al [<xref ref-type="bibr" rid="ref41">41</xref>] also noted a significantly increased white population recruited through Facebook. Out of the 10 studies that formally measured the age of participants recruited, 3 recruited a comparable sample [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref41">41</xref>]. There was a younger median age in 3 studies [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref42">42</xref>], and 1 study [<xref ref-type="bibr" rid="ref18">18</xref>] had a much higher proportion of 18- to 30-year-olds recruited via social media (56% vs 18.8%). Quach et al [<xref ref-type="bibr" rid="ref23">23</xref>], while not formally reporting demographics, noted that social media recruited younger individuals. Although not included in the demographic analysis, Yuan et al [<xref ref-type="bibr" rid="ref17">17</xref>] also noted that the proportion of individuals aged 60+ years recruited through Facebook was lower than that for other age groups. Hernandez-Romieu et al [<xref ref-type="bibr" rid="ref33">33</xref>], on the other hand, noted that participants recruited via Facebook were typically older than those recruited via other avenues, and this difference was significant for black participants recruited. Head et al [<xref ref-type="bibr" rid="ref35">35</xref>] also noted an older median age in studies 1 and 2, which was attributed to the fact that Craigslist, the main comparative recruitment method used, is more popular with younger individuals. Out of the 8 studies that reported the sex of recruited participants [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref42">42</xref>], 7 studies recruited a comparable sample through social media [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. The economic status of individuals was reported in 6 studies and no significant differences were found [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. However, Balfe et al [<xref ref-type="bibr" rid="ref14">14</xref>] noted that social media recruited more middle-class individuals. A total of 7 studies provided information about educational attainment of recruited individuals [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref41">41</xref>]. It was found that education levels were higher in the social media group than in the traditional media group in 2 cases [<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref20">20</xref>], and Hernandez-Romieu et al [<xref ref-type="bibr" rid="ref33">33</xref>] found this to be the case for white participants recruited. Head et al [<xref ref-type="bibr" rid="ref35">35</xref>] (study 1) noted lower education levels for individuals in the social media group, which was attributed to the fact that Craigslist is more popular with better educated individuals. Quach et al [<xref ref-type="bibr" rid="ref23">23</xref>] also noted that education levels were higher in the social media recruitment group.</p>
      </sec>
      <sec>
        <title>Cost-Effectiveness and Incentives</title>
        <p>A total of 13 studies directly compared cost-effectiveness across different recruitment strategies [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref42">42</xref>], and the results are presented in <xref ref-type="table" rid="table2">Table 2</xref>. The cost of advertisement on social media websites was determined by bidding prices for ads, which varied on a daily basis, or the cost of placing a banner ad on a particular website. Among these studies, 5 studies [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref41">41</xref>] found social media to be the most cost-effective method, whereas 7 studies found it less cost-effective than another method used [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. Wilkerson et al [<xref ref-type="bibr" rid="ref31">31</xref>] reported no cost using social media for recruitment, and Khatri et al [<xref ref-type="bibr" rid="ref39">39</xref>] reported no costs for all methods used. Among the 5 studies that found social media to be the most cost-effective method, 4 were observational studies [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref41">41</xref>], whereas 1 study was an interventional study [<xref ref-type="bibr" rid="ref36">36</xref>]. Of the 7 studies that found recruitment through social media less cost-effective than another method, 4 were interventional studies [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref42">42</xref>] and 3 were observational studies [<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]. Despite not formally measuring cost-effectiveness, Theriault et al [<xref ref-type="bibr" rid="ref26">26</xref>] noted social media to be “less costly” than traditional methods. This study was also an observational study. A total of 15 studies reported the use of incentives during recruitment, 12 of which were monetary [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref29">29</xref>-<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref41">41</xref>] and 1 of which was nonmonetary [<xref ref-type="bibr" rid="ref17">17</xref>]. The remaining 2 studies used a combination of monetary and nonmonetary incentives [<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. Quach et al [<xref ref-type="bibr" rid="ref23">23</xref>] specifically looked at the effect of incentives on recruitment. Recruitment was split into 2 phases: phase 1, which offered a Can $5 gift card upon survey completion, and phase 2, which had no incentives. It was found that phase 1 attracted significantly more individuals than phase 2 (355 vs 125).</p>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>Cost of recruitment for different strategies.</p>
          </caption>
          <table width="500" cellpadding="7" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="150"/>
            <col width="350"/>
            <thead>
              <tr valign="top">
                <td>Reference</td>
                <td>Cost of recruitment</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Frandsen et al [<xref ref-type="bibr" rid="ref15">15</xref>]</td>
                <td>Facebook, AU $42.34/participant; newspaper, AU $21.52/participant.</td>
              </tr>
              <tr valign="top">
                <td>Johnson et al [<xref ref-type="bibr" rid="ref16">16</xref>]</td>
                <td>First ad campaign: Google, US $13.43/registrant; Facebook, US $3.80/registrant. Second ad campaign: Google, US $18.97/registrant; Facebook, US $7.71/registrant. Mailed campaign, US $154.95/registrant.</td>
              </tr>
              <tr valign="top">
                <td>Graham et al [<xref ref-type="bibr" rid="ref19">19</xref>]</td>
                <td>Myspace Latino, US $600/registrant; Yahoo en Espanol, US $119.95/registrant; MSN Latino, US $141.15/registrant; MiGente, US $4166.67/registrant.</td>
              </tr>
              <tr valign="top">
                <td>Heffner et al [<xref ref-type="bibr" rid="ref20">20</xref>]</td>
                <td>Social media, US $172.76/participant; standard media, US $46.98/participant; broadcast emails, US $27.10/participant; word of mouth, US $5.27/participant; medical Internet media, US $26.19/participant; Google AdWords, US $50.26/participant.</td>
              </tr>
              <tr valign="top">
                <td>Carlini et al [<xref ref-type="bibr" rid="ref28">28</xref>]</td>
                <td>Facebook, US $8.92/respondent. Google, US $16.22/respondent. Email, US $5.95/respondent. Newsletter: Florida, US $13.12/respondent; New Jersey, US $35.60/respondent; California, US $250.00/respondent.</td>
              </tr>
              <tr valign="top">
                <td>Wilkerson et al [<xref ref-type="bibr" rid="ref31">31</xref>]</td>
                <td>Facebook, US $0/participant; email, US $0/participant; mobile ads, US $375.00/participant; browser ads, US $187.50/participant.</td>
              </tr>
              <tr valign="top">
                <td>Hernandez-Romieu et al [<xref ref-type="bibr" rid="ref33">33</xref>]</td>
                <td>Facebook, US $68.6/participant; venues, US $91.2/participant.</td>
              </tr>
              <tr valign="top">
                <td>Rait et al [<xref ref-type="bibr" rid="ref34">34</xref>]</td>
                <td>Facebook, US $149.64/registrant; bus ads, US $255/registrant; referral, US $7/registrant; school talks, US $336/registrant; fliers, US $10/registrant.</td>
              </tr>
              <tr valign="top">
                <td>Kayrouz et al [<xref ref-type="bibr" rid="ref36">36</xref>]</td>
                <td>Facebook, US $37/participant; traditional, US $40/participant.</td>
              </tr>
              <tr valign="top">
                <td>Gu et al [<xref ref-type="bibr" rid="ref37">37</xref>]</td>
                <td>Facebook, US $30.29/participant; Twitter, US $22.20/participant; QR Codes, US $6.57/participant.</td>
              </tr>
              <tr valign="top">
                <td>Khatri et al [<xref ref-type="bibr" rid="ref39">39</xref>]</td>
                <td>US $0 for all methods.</td>
              </tr>
              <tr valign="top">
                <td>Carter-Harris et al [<xref ref-type="bibr" rid="ref41">41</xref>]</td>
                <td>Facebook, US $1.51/participant; newspaper, US $40.80/participant.</td>
              </tr>
              <tr valign="top">
                <td>Frandsen et al [<xref ref-type="bibr" rid="ref42">42</xref>]</td>
                <td>Facebook, AU $56.34/participant; traditional media, AU $52.33/participant.</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Setting</title>
        <p>Out of 30 studies, 18 studies were done in the United States [<xref ref-type="bibr" rid="ref16">16</xref>-<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref33">33</xref>-<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref41">41</xref>], 5 studies in Australia [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref40">40</xref>,<xref ref-type="bibr" rid="ref42">42</xref>], 3 studies in Canada [<xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref29">29</xref>], 1 study in Ireland [<xref ref-type="bibr" rid="ref14">14</xref>], 1 study in the Netherlands [<xref ref-type="bibr" rid="ref32">32</xref>], 1 study in Japan [<xref ref-type="bibr" rid="ref30">30</xref>], and 1 study in the United Kingdom [<xref ref-type="bibr" rid="ref39">39</xref>].</p>
        <p>It was found that 14 out of 30 studies used Facebook solely [<xref ref-type="bibr" rid="ref14">14</xref>-<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref33">33</xref>-<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref40">40</xref>-<xref ref-type="bibr" rid="ref42">42</xref>]. Although Twitter was never used by itself, 9 studies used a combination of both Facebook and Twitter during the recruitment process [<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref21">21</xref>,<xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref32">32</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref38">38</xref>]. The overwhelming majority of studies (28/30) used Facebook in some way during recruitment, indicating that this was the most popular website for this purpose. The only times Facebook was not used were when there were social media sites that targeted a specific population of interest, such as MSM (men who have sex with men) [<xref ref-type="bibr" rid="ref18">18</xref>] and Latinos [<xref ref-type="bibr" rid="ref19">19</xref>]. Other recruitment methods included visiting various community venues such as clubs and bars, health care centers, and universities. There was also recruitment done via numerous websites that would not be classified as social media based on our definition, such as Craigslist, Kijiji, and Google AdWords. Overall, using a combination of social media websites, or not using Facebook, resulted in lower recruitment through social media (<xref ref-type="fig" rid="figure2">Figure 2</xref>).</p>
        <fig id="figure2" position="float">
          <label>Figure 2</label>
          <caption>
            <p>Recruitment success based on social media website(s) used. Note: Other = GRINDR, Myspace Latino + MiGente, Facebook + Google AdWords, Facebook + Twitter + Ning, Facebook + Gaydar, Facebook + Twitter + Youtube, Facebook + Twitter + LinkedIn + Tumblr, Facebook + Twitter + Instagram + Grindr + Jack’d + Scruff.</p>
          </caption>
          <graphic xlink:href="jmir_v18i11e286_fig2.jpg" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>It was found that social media was the most effective method in 12/30 studies and not the most effective method for recruiting patients in 15/30 studies. The effectiveness of social media for recruitment of study participants is highly variable and dependent on specific study characteristics such as age, whether the population is difficult to reach through traditional methods, and the method used to measure the primary outcome. This contrasts with the finding that social media is a highly effective recruitment method presented in studies such as those by Fenner et al [<xref ref-type="bibr" rid="ref6">6</xref>] and Ramo and Prochaska [<xref ref-type="bibr" rid="ref7">7</xref>]. One possible reason for this is the fact that these studies did not use other methods of recruitment, and therefore solely focused their efforts on recruitment through social media. Among the studies where the effort put into each recruitment method was discernible, it was generally found that the effort put into recruitment via social media correlated with the number of participants recruited through this method. Effort was defined as the combination of the number of social media websites used, the extensiveness of the social media recruitment strategy as compared with that of traditional methods, the frequency with which recruitment was conducted, and the time spent on recruitment through social media when this information was reported. Studies that put more effort into recruitment via social media than via other methods generally recruited the most number of participants through social media [<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref32">32</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref41">41</xref>] and vice versa [<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref40">40</xref>].</p>
        <p>It was found that in 2 cases [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref28">28</xref>] social media was able to recruit a sample that was comparable to the control group. However, in 12 cases the sample recruited via social media was not comparable to the general population. Participants were found to be younger [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref42">42</xref>], older [<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref35">35</xref>], more white [<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref41">41</xref>], had a higher education level [<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref33">33</xref>], had a lower education level [<xref ref-type="bibr" rid="ref35">35</xref>], more female [<xref ref-type="bibr" rid="ref37">37</xref>], and had higher socioeconomic status [<xref ref-type="bibr" rid="ref14">14</xref>]. It was also noted that all studies were from developed countries.</p>
        <p>There is evidence that social media is best able to recruit individuals for observational survey-type studies as opposed to interventional studies; however, with a limited number of studies (n=12) to evaluate, more studies are needed. There is also evidence that social media can be a better recruitment method than other Internet sources alone. Of the 7 studies that compared recruitment via social media only with other Internet sources, 5 found social media to be the top method of recruitment [<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref35">35</xref>]. Studies that targeted more specific groups, rather than a more general audience, can also potentially be more successful at recruiting via social media. For instance, social media seemed to be successful at recruiting hard-to-reach populations [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref32">32</xref>,<xref ref-type="bibr" rid="ref36">36</xref>] and individuals with specific conditions or disorders [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref32">32</xref>]. This finding was in agreement with the findings of Park and Calamaro [<xref ref-type="bibr" rid="ref12">12</xref>] and Ryan [<xref ref-type="bibr" rid="ref13">13</xref>]. This is likely because in such a case it is difficult for any one conventional source to find a sufficient number of individuals, as was noted in the study by Johnson et al [<xref ref-type="bibr" rid="ref16">16</xref>]. Once again, however, there is limited evidence for this. More studies need to be done looking at the effectiveness of recruitment using social media in these specific groups. Interestingly, the use of multiple social media websites appeared to result in lower recruitment through social media. When multiple social media websites were used, however, the most successful website at recruitment was Facebook. Low recruitment through Facebook alone typically indicated low overall recruitment through social media and vice versa. Therefore, we speculate that this finding is not due to the use of multiple social media sites but due to the success of recruitment through other methods in these studies.</p>
        <p>A total of 5 studies found social media to be the most cost-effective method [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref41">41</xref>], whereas 7 studies found that it was not the most cost-effective method [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. Therefore, no significant conclusions on cost-effectiveness can be made. This finding is slightly different from Park and Calamaro’s [<xref ref-type="bibr" rid="ref12">12</xref>] conclusion of social media being cost-effective. One potential explanation for this is that other studies, which focused solely on recruitment using social media, recruited higher numbers of individuals (450 in the study by Ramo and Prochaska and 426 in the study by Fenner et al) [<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref7">7</xref>]. However, these studies also did not compare cost-effectiveness of other methods in recruiting the same target population, so it is uncertain whether traditional methods would be even more cost-effective in these cases. Additionally, the sample sizes of both the study by Park and Calamaro [<xref ref-type="bibr" rid="ref12">12</xref>] (n=3) and our review (n=12) are likely too small to draw highly accurate conclusions. The cost of recruitment is also highly variable and depends on interactions between recruitment sites, study size, and target population. Advertisements are additionally affected by the bid price needed to display the advertisements, as noted by Fenner et al [<xref ref-type="bibr" rid="ref6">6</xref>] and Ramo and Prochaska [<xref ref-type="bibr" rid="ref7">7</xref>]. Therefore, a more complex analysis is needed to understand cost-effectiveness when recruiting through social media.</p>
        <p>Recruitment through social media is affected by several factors. Quach et al [<xref ref-type="bibr" rid="ref23">23</xref>] explicitly showed that adding a monetary incentive can increase recruitment through social media. Although 1 study represents limited evidence for the effectiveness of incentives, this finding is in line with the conclusion by Bower et al [<xref ref-type="bibr" rid="ref43">43</xref>] that monetary incentives can increase recruitment into medical health studies. Another important factor is sex. It has been shown that women are more likely to search the Web for health information than men [<xref ref-type="bibr" rid="ref44">44</xref>] and are more likely to participate in health studies [<xref ref-type="bibr" rid="ref45">45</xref>]. Although no differences between male and female recruitment were found in this review, having an adequate representativeness in sex needs to be kept in mind by researchers when designing recruitment mechanisms.</p>
        <p>When recruiting a target population, it is also important to consider how that population uses social media. For instance, for young MSM, Holloway et al [<xref ref-type="bibr" rid="ref46">46</xref>] noted that this population was more likely to use dating sites when meeting new sexual partners and used Facebook when communicating with individuals they already knew. Therefore, researchers interested in targeting this population for a sexual health study should use these dating sites for recruitment and use Facebook for a nonsexual health study. Some social media sites are also more popular among certain demographics—for instance, within MSM, Grindr is more popular among whites, whereas Jack’d is more popular among African Americans [<xref ref-type="bibr" rid="ref47">47</xref>].</p>
        <p>Overall, researchers should consider how the target population uses social media when deciding which recruitment strategies to use, taking into account factors such as age, sex, the likelihood of a comparable sample, and whether the population would be difficult to reach through traditional methods. Even if social media can recruit more individuals than other methods, researchers must still estimate the cost-effectiveness of recruitment via this method, and in the event that cost-effectiveness is low, determine if recruitment is worth the low cost-effectiveness.</p>
      </sec>
      <sec>
        <title>Limitations of Using Social Media for Research Recruitment</title>
        <p>Ads on social media websites were targeted at specific age groups and locations based only on the information an individual provided on his or her profile. Therefore, there is no guarantee that awareness of the study reached all potential participants, and this could bias the results. Many studies created a separate page to recruit participants. Once again, not all potential participants may have been made aware of this page. For the studies that involved surveys, individuals could have reported false demographic information in the survey or could have given multiple responses, and verification of information on the Web remains more difficult than in person. In addition, individuals may not have correctly reported their source of recruitment, as Johnson et al [<xref ref-type="bibr" rid="ref16">16</xref>] noted.</p>
        <p>Within social media itself different types of recruiting strategies were used across different studies, such as creating a separate page to advertise the study, targeted advertisements, and private messages. Different strategies can alter the number or demographics of participants recruited and thus may not necessarily lead to a fair comparison between social media and other methods.</p>
        <p>There is also the possibility that neither social media nor traditional methods were representative of the target population, as Ince et al [<xref ref-type="bibr" rid="ref32">32</xref>] and Gu et al [<xref ref-type="bibr" rid="ref37">37</xref>] noted. This can result from self-selection bias, where individuals who agree to participate in a study are more motivated than the general target population, and the demographic characteristics of these individuals differ from the remainder of the target population [<xref ref-type="bibr" rid="ref48">48</xref>]. Although this may limit the ability to have a representative outcome when recruiting with social media, if researchers can understand the ways in which self-selection bias takes place, then recruitment of a representative outcome, as compared with the target population, is still possible. For example, Fenner et al [<xref ref-type="bibr" rid="ref6">6</xref>] noted that, at their study site, rural participants were underrepresented because of the increased driving distance to reach the site. Oversampling of rural participants can therefore create a representative outcome [<xref ref-type="bibr" rid="ref6">6</xref>].</p>
      </sec>
      <sec>
        <title>Limitations of This Study</title>
        <p>To identify relevant studies, an extensive list of keywords was used in the search strategy, and the reference lists of the identified studies were additionally scanned in order to extract more relevant studies. However, although we have tried to be as thorough as possible in identifying the literature, it is possible that some relevant studies were missed. Also, given the rapidly growing adoption of social media, we anticipate this body of literature to expand exponentially; this review is limited to studies published before August 10, 2016. Although we included all popular social media sites in the search strategy, not all existing social media sites were included because of the sheer number of such sites. Additionally, only studies written in English were selected.</p>
        <p>This review looked at the recruitment strategies of different studies, rather than the main result of these studies themselves. To the best of our knowledge, there is no checklist for measuring the quality of recruitment strategy. Therefore, the quality of these studies cannot be measured in this regard.</p>
        <p>Another limitation of the study is that the definition of a social media website varies across the literature. For instance, according to the definition by Shere et al [<xref ref-type="bibr" rid="ref25">25</xref>], the sites Craigslist and Kijiji would be classified as social media, and so these authors concluded that social media was the most effective method owing to high recruitment via Craigslist and Kijiji even though recruitment via Facebook and Twitter was low. According to the definition by Theriault et al [<xref ref-type="bibr" rid="ref26">26</xref>], the site Gaydar would not be classified as social media, but under our definition it would be. In such cases, we tried to fit the results to our definition of a social media site, but others may have a different definition of a social media site. This has an effect on the conclusions that can be drawn about recruitment of participants.</p>
        <p>In addition, to measure the comparativeness of the population recruited, demographic characteristics of participants recruited through social media were only compared with characteristics of those recruited through other methods. We cannot rule out the possibility that neither social media nor traditional methods had outcomes that were representative of the target population, as is what occurred in the studies by Ince et al [<xref ref-type="bibr" rid="ref32">32</xref>] and Gu et al [<xref ref-type="bibr" rid="ref37">37</xref>]. This can limit the conclusions that can be made regarding representativeness.</p>
      </sec>
      <sec>
        <title>Future Directions</title>
        <p>Despite several studies pointing to social media as a potential method of recruiting patients in the preliminary search, the fact that only 30 studies were identified that explicitly compare recruitment methods shows that more studies need to be done in this area. Furthermore, several of these studies also did not assess the demographics of the recruited participants—such as age, ethnicity, income, and education level—or the cost-effectiveness of each recruitment strategy. In order to truly assess the viability of social media as a recruitment tool, future studies should measure these factors as well. Studies that found social media to be effective tended to target specific populations and used surveys, but sample sizes were too low to make strong conclusions. More studies need to be done to determine the validity of these statements.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>Given the rising cost of conducting health research, and increased competition for such funds in Canada, new and innovative methods to recruit study participants are needed. Leveraging the growing popularity of social media has the potential to enhance research recruitment methods. However, based on our scoping review of the literature, social media was found to be the best recruitment method in only 12 out of 30 (40%) studies assessed in terms of number of individuals recruited. Social media also tended to recruit younger individuals (when this information was reported). However, for hard-to-reach populations, for populations with specific conditions or disorders, and for observational studies, social media can potentially be the most effective recruitment strategy. Although many studies used social media in recruitment, only 30 studies have explicitly compared social media with other recruitment methods. Additionally, many of these studies did not measure demographics of the population recruited. Therefore, more studies need to be done in this area. These studies should not only measure how many participants can be recruited through each strategy, but also clearly report demographics and the cost-effectiveness of each strategy.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group>
      <app id="app1">
        <title>Multimedia Appendix 1</title>
        <p>Detailed search strategy.</p>
        <media xlink:href="jmir_v18i11e286_app1.xlsx" xlink:title="XLSX File (Microsoft Excel File), 10KB"/>
      </app>
      <app id="app2">
        <title>Multimedia Appendix 2</title>
        <p>Study characteristics, recruitment effectiveness by method, demographics of participants recruited by method, and geographic areas targeted by method.</p>
        <media xlink:href="jmir_v18i11e286_app2.xlsx" xlink:title="XLSX File (Microsoft Excel File), 26KB"/>
      </app>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">AYA</term>
          <def>
            <p>adolescent and young adult</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">MeSH</term>
          <def>
            <p>Medical Subject Headings</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">MSM</term>
          <def>
            <p>men who have sex with men</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">PRISMA</term>
          <def>
            <p>Preferred Reporting Items for Systematic Reviews and Meta-Analyses</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
    <ref-list>
      <ref id="ref1">
        <label>1</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Gul</surname>
            <given-names>RB</given-names>
          </name>
          <name name-style="western">
            <surname>Ali</surname>
            <given-names>PA</given-names>
          </name>
        </person-group>
        <article-title>Clinical trials: the challenge of recruitment and retention of participants</article-title>
        <source>J Clin Nurs</source>  
        <year>2010</year>  
        <month>01</month>  
        <volume>19</volume>  
        <issue>1-2</issue>  
        <fpage>227</fpage>  
        <lpage>33</lpage>  
        <pub-id pub-id-type="doi">10.1111/j.1365-2702.2009.03041.x</pub-id>
        <pub-id pub-id-type="medline">20500260</pub-id>
        <pub-id pub-id-type="pii">JCN3041</pub-id></nlm-citation>
      </ref>
      <ref id="ref2">
        <label>2</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Allison</surname>
            <given-names>M</given-names>
          </name>
        </person-group>
        <article-title>Can Web 2.0 reboot clinical trials?</article-title>
        <source>Nat Biotechnol</source>  
        <year>2009</year>  
        <month>10</month>  
        <volume>27</volume>  
        <issue>10</issue>  
        <fpage>895</fpage>  
        <lpage>902</lpage>  
        <pub-id pub-id-type="doi">10.1038/nbt1009-895</pub-id>
        <pub-id pub-id-type="medline">19816442</pub-id>
        <pub-id pub-id-type="pii">nbt1009-895</pub-id></nlm-citation>
      </ref>
      <ref id="ref3">
        <label>3</label>
        <nlm-citation citation-type="web">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Poushter</surname>
            <given-names>J</given-names>
          </name>
          <name name-style="western">
            <surname>Wike</surname>
            <given-names>R</given-names>
          </name>
          <name name-style="western">
            <surname>Bell</surname>
            <given-names>J</given-names>
          </name>
          <name name-style="western">
            <surname>Cuddington</surname>
            <given-names>D</given-names>
          </name>
          <name name-style="western">
            <surname>Deane</surname>
            <given-names>C</given-names>
          </name>
          <name name-style="western">
            <surname>Havemann</surname>
            <given-names>M</given-names>
          </name>
          <name name-style="western">
            <surname>van Houten</surname>
            <given-names>G</given-names>
          </name>
          <name name-style="western">
            <surname>Keegan</surname>
            <given-names>M</given-names>
          </name>
          <name name-style="western">
            <surname>Kent</surname>
            <given-names>D</given-names>
          </name>
          <name name-style="western">
            <surname>Manevich</surname>
            <given-names>D</given-names>
          </name>
          <name name-style="western">
            <surname>Mitchell</surname>
            <given-names>T</given-names>
          </name>
          <name name-style="western">
            <surname>Parker</surname>
            <given-names>B</given-names>
          </name>
          <name name-style="western">
            <surname>Powers</surname>
            <given-names>A</given-names>
          </name>
          <name name-style="western">
            <surname>Schwarzer</surname>
            <given-names>S</given-names>
          </name>
          <name name-style="western">
            <surname>Simmons</surname>
            <given-names>K</given-names>
          </name>
          <name name-style="western">
            <surname>Stokes</surname>
            <given-names>B</given-names>
          </name>
          <name name-style="western">
            <surname>Wormald</surname>
            <given-names>B</given-names>
          </name>
          <name name-style="western">
            <surname>Zainulbhai</surname>
            <given-names>H</given-names>
          </name>
        </person-group>

        <access-date>2016-06-21</access-date>
        <comment>Smartphone ownership and Internet usage continues to climb in emerging economies. Pew Research Center. 2016.
        <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.pewglobal.org/files/2016/02/pew_research_center_global_technology_report_final_february_22__2016.pdf">http://www.pewglobal.org/files/2016/02/pew_research_center_global_technology_report_final_february_22__2016.pdf</ext-link>
        <ext-link ext-link-type="webcite" xlink:href="6iSXYViZ7"/></comment> </nlm-citation>
      </ref>
      <ref id="ref4">
        <label>4</label>
        <nlm-citation citation-type="web">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Bozinoff</surname>
            <given-names>L</given-names>
          </name>
        </person-group>

        <access-date>2016-06-21</access-date>
        <comment>Instagram tops in user satisfaction. Forum Research. 2015.
        <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://poll.forumresearch.com/data/Federal%20Social%20Media%20News%20Release%20(2015%2001%2006)%20Forum%20Research.pdf">http://poll.forumresearch.com/data/Federal%20Social%20Media%20News%20Release%20(2015%2001%2006)%20Forum%20Research.pdf</ext-link>
        <ext-link ext-link-type="webcite" xlink:href="6iSXrskQG"/></comment> </nlm-citation>
      </ref>
      <ref id="ref5">
        <label>5</label>
        <nlm-citation citation-type="web">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Perrin</surname>
            <given-names>A</given-names>
          </name>
          <name name-style="western">
            <surname>Duggan</surname>
            <given-names>M</given-names>
          </name>
          <name name-style="western">
            <surname>Rainie</surname>
            <given-names>L</given-names>
          </name>
          <name name-style="western">
            <surname>Smith</surname>
            <given-names>A</given-names>
          </name>
          <name name-style="western">
            <surname>Greenwood</surname>
            <given-names>S</given-names>
          </name>
          <name name-style="western">
            <surname>Porteus</surname>
            <given-names>M</given-names>
          </name>
          <name name-style="western">
            <surname>Page</surname>
            <given-names>D</given-names>
          </name>
        </person-group>

        <access-date>2016-06-21</access-date>
        <comment>Social Media Usage: 2005-2015. Social media usage: 2005-2015. Pew Research Center. 2015.
        <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.pewinternet.org/files/2015/10/PI_2015-10-08_Social-Networking-Usage-2005-2015_FINAL.pdf">http://www.pewinternet.org/files/2015/10/PI_2015-10-08_Social-Networking-Usage-2005-2015_FINAL.pdf</ext-link>
        <ext-link ext-link-type="webcite" xlink:href="6iSW8edtW"/></comment> </nlm-citation>
      </ref>
      <ref id="ref6">
        <label>6</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Fenner</surname>
            <given-names>Y</given-names>
          </name>
          <name name-style="western">
            <surname>Garland</surname>
            <given-names>SM</given-names>
          </name>
          <name name-style="western">
            <surname>Moore</surname>
            <given-names>EE</given-names>
          </name>
          <name name-style="western">
            <surname>Jayasinghe</surname>
            <given-names>Y</given-names>
          </name>
          <name name-style="western">
            <surname>Fletcher</surname>
            <given-names>A</given-names>
          </name>
          <name name-style="western">
            <surname>Tabrizi</surname>
            <given-names>SN</given-names>
          </name>
          <name name-style="western">
            <surname>Gunasekaran</surname>
            <given-names>B</given-names>
          </name>
          <name name-style="western">
            <surname>Wark</surname>
            <given-names>JD</given-names>
          </name>
        </person-group>
        <article-title>Web-based recruiting for health research using a social networking site: an exploratory study</article-title>
        <source>J Med Internet Res</source>  
        <year>2012</year>  
        <volume>14</volume>  
        <issue>1</issue>  
        <fpage>e20</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.jmir.org/2012/1/e20/"/>
        </comment>  
        <pub-id pub-id-type="doi">10.2196/jmir.1978</pub-id>
        <pub-id pub-id-type="medline">22297093</pub-id>
        <pub-id pub-id-type="pii">v14i1e20</pub-id>
        <pub-id pub-id-type="pmcid">PMC3374531</pub-id></nlm-citation>
      </ref>
      <ref id="ref7">
        <label>7</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Ramo</surname>
            <given-names>DE</given-names>
          </name>
          <name name-style="western">
            <surname>Prochaska</surname>
            <given-names>JJ</given-names>
          </name>
        </person-group>
        <article-title>Broad reach and targeted recruitment using Facebook for an online survey of young adult substance use</article-title>
        <source>J Med Internet Res</source>  
        <year>2012</year>  
        <volume>14</volume>  
        <issue>1</issue>  
        <fpage>e28</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.jmir.org/2012/1/e28/"/>
        </comment>  
        <pub-id pub-id-type="doi">10.2196/jmir.1878</pub-id>
        <pub-id pub-id-type="medline">22360969</pub-id>
        <pub-id pub-id-type="pii">v14i1e28</pub-id>
        <pub-id pub-id-type="pmcid">PMC3374532</pub-id></nlm-citation>
      </ref>
      <ref id="ref8">
        <label>8</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Chu</surname>
            <given-names>JL</given-names>
          </name>
          <name name-style="western">
            <surname>Snider</surname>
            <given-names>CE</given-names>
          </name>
        </person-group>
        <article-title>Use of a social networking web site for recruiting Canadian youth for medical research</article-title>
        <source>J Adolesc Health</source>  
        <year>2013</year>  
        <month>06</month>  
        <volume>52</volume>  
        <issue>6</issue>  
        <fpage>792</fpage>  
        <lpage>4</lpage>  
        <pub-id pub-id-type="doi">10.1016/j.jadohealth.2012.12.002</pub-id>
        <pub-id pub-id-type="medline">23352727</pub-id>
        <pub-id pub-id-type="pii">S1054-139X(12)00783-5</pub-id></nlm-citation>
      </ref>
      <ref id="ref9">
        <label>9</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Jones</surname>
            <given-names>L</given-names>
          </name>
          <name name-style="western">
            <surname>Saksvig</surname>
            <given-names>BI</given-names>
          </name>
          <name name-style="western">
            <surname>Grieser</surname>
            <given-names>M</given-names>
          </name>
          <name name-style="western">
            <surname>Young</surname>
            <given-names>DR</given-names>
          </name>
        </person-group>
        <article-title>Recruiting adolescent girls into a follow-up study: benefits of using a social networking website</article-title>
        <source>Contemp Clin Trials</source>  
        <year>2012</year>  
        <month>03</month>  
        <volume>33</volume>  
        <issue>2</issue>  
        <fpage>268</fpage>  
        <lpage>72</lpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://europepmc.org/abstract/MED/22101207"/>
        </comment>  
        <pub-id pub-id-type="doi">10.1016/j.cct.2011.10.011</pub-id>
        <pub-id pub-id-type="medline">22101207</pub-id>
        <pub-id pub-id-type="pii">S1551-7144(11)00276-X</pub-id>
        <pub-id pub-id-type="pmcid">PMC3268880</pub-id></nlm-citation>
      </ref>
      <ref id="ref10">
        <label>10</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>O'Connor</surname>
            <given-names>A</given-names>
          </name>
          <name name-style="western">
            <surname>Jackson</surname>
            <given-names>L</given-names>
          </name>
          <name name-style="western">
            <surname>Goldsmith</surname>
            <given-names>L</given-names>
          </name>
          <name name-style="western">
            <surname>Skirton</surname>
            <given-names>H</given-names>
          </name>
        </person-group>
        <article-title>Can I get a retweet please? Health research recruitment and the Twittersphere</article-title>
        <source>J Adv Nurs</source>  
        <year>2014</year>  
        <month>03</month>  
        <volume>70</volume>  
        <issue>3</issue>  
        <fpage>599</fpage>  
        <lpage>609</lpage>  
        <pub-id pub-id-type="doi">10.1111/jan.12222</pub-id>
        <pub-id pub-id-type="medline">23909740</pub-id></nlm-citation>
      </ref>
      <ref id="ref11">
        <label>11</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Lohse</surname>
            <given-names>B</given-names>
          </name>
        </person-group>
        <article-title>Facebook is an effective strategy to recruit low-income women to online nutrition education</article-title>
        <source>J Nutr Educ Behav</source>  
        <year>2013</year>  
        <volume>45</volume>  
        <issue>1</issue>  
        <fpage>69</fpage>  
        <lpage>76</lpage>  
        <pub-id pub-id-type="doi">10.1016/j.jneb.2012.06.006</pub-id>
        <pub-id pub-id-type="medline">23305805</pub-id>
        <pub-id pub-id-type="pii">S1499-4046(12)00504-0</pub-id></nlm-citation>
      </ref>
      <ref id="ref12">
        <label>12</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Park</surname>
            <given-names>BK</given-names>
          </name>
          <name name-style="western">
            <surname>Calamaro</surname>
            <given-names>C</given-names>
          </name>
        </person-group>
        <article-title>A systematic review of social networking sites: innovative platforms for health research targeting adolescents and young adults</article-title>
        <source>J Nurs Scholarsh</source>  
        <year>2013</year>  
        <month>09</month>  
        <volume>45</volume>  
        <issue>3</issue>  
        <fpage>256</fpage>  
        <lpage>64</lpage>  
        <pub-id pub-id-type="doi">10.1111/jnu.12032</pub-id>
        <pub-id pub-id-type="medline">23676115</pub-id></nlm-citation>
      </ref>
      <ref id="ref13">
        <label>13</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Ryan</surname>
            <given-names>GS</given-names>
          </name>
        </person-group>
        <article-title>Online social networks for patient involvement and recruitment in clinical research</article-title>
        <source>Nurse Res</source>  
        <year>2013</year>  
        <volume>21</volume>  
        <issue>1</issue>  
        <fpage>35</fpage>  
        <lpage>9</lpage>  
        <pub-id pub-id-type="doi">10.7748/nr2013.09.21.1.35.e302</pub-id>
        <pub-id pub-id-type="medline">24004430</pub-id></nlm-citation>
      </ref>
      <ref id="ref14">
        <label>14</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Balfe</surname>
            <given-names>M</given-names>
          </name>
          <name name-style="western">
            <surname>Doyle</surname>
            <given-names>F</given-names>
          </name>
          <name name-style="western">
            <surname>Conroy</surname>
            <given-names>R</given-names>
          </name>
        </person-group>
        <article-title>Using Facebook to recruit young adults for qualitative research projects: how difficult is it?</article-title>
        <source>Comput Inform Nurs</source>  
        <year>2012</year>  
        <month>10</month>  
        <volume>30</volume>  
        <issue>10</issue>  
        <fpage>511</fpage>  
        <lpage>5</lpage>  
        <pub-id pub-id-type="doi">10.1097/NXN.0b013e31826e4fca</pub-id>
        <pub-id pub-id-type="medline">23079479</pub-id>
        <pub-id pub-id-type="pii">00024665-201210000-00001</pub-id></nlm-citation>
      </ref>
      <ref id="ref15">
        <label>15</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Frandsen</surname>
            <given-names>M</given-names>
          </name>
          <name name-style="western">
            <surname>Walters</surname>
            <given-names>J</given-names>
          </name>
          <name name-style="western">
            <surname>Ferguson</surname>
            <given-names>SG</given-names>
          </name>
        </person-group>
        <article-title>Exploring the viability of using online social media advertising as a recruitment method for smoking cessation clinical trials</article-title>
        <source>Nicotine Tob Res</source>  
        <year>2014</year>  
        <month>02</month>  
        <volume>16</volume>  
        <issue>2</issue>  
        <fpage>247</fpage>  
        <lpage>51</lpage>  
        <pub-id pub-id-type="doi">10.1093/ntr/ntt157</pub-id>
        <pub-id pub-id-type="medline">24127266</pub-id>
        <pub-id pub-id-type="pii">ntt157</pub-id></nlm-citation>
      </ref>
      <ref id="ref16">
        <label>16</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Johnson</surname>
            <given-names>KJ</given-names>
          </name>
          <name name-style="western">
            <surname>Mueller</surname>
            <given-names>NL</given-names>
          </name>
          <name name-style="western">
            <surname>Williams</surname>
            <given-names>K</given-names>
          </name>
          <name name-style="western">
            <surname>Gutmann</surname>
            <given-names>DH</given-names>
          </name>
        </person-group>
        <article-title>Evaluation of participant recruitment methods to a rare disease online registry</article-title>
        <source>Am J Med Genet A</source>  
        <year>2014</year>  
        <month>07</month>  
        <volume>164A</volume>  
        <issue>7</issue>  
        <fpage>1686</fpage>  
        <lpage>94</lpage>  
        <pub-id pub-id-type="doi">10.1002/ajmg.a.36530</pub-id>
        <pub-id pub-id-type="medline">24700441</pub-id></nlm-citation>
      </ref>
      <ref id="ref17">
        <label>17</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Yuan</surname>
            <given-names>P</given-names>
          </name>
          <name name-style="western">
            <surname>Bare</surname>
            <given-names>MG</given-names>
          </name>
          <name name-style="western">
            <surname>Johnson</surname>
            <given-names>MO</given-names>
          </name>
          <name name-style="western">
            <surname>Saberi</surname>
            <given-names>P</given-names>
          </name>
        </person-group>
        <article-title>Using online social media for recruitment of human immunodeficiency virus-positive participants: a cross-sectional survey</article-title>
        <source>J Med Internet Res</source>  
        <year>2014</year>  
        <volume>16</volume>  
        <issue>5</issue>  
        <fpage>e117</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.jmir.org/2014/5/e117/"/>
        </comment>  
        <pub-id pub-id-type="doi">10.2196/jmir.3229</pub-id>
        <pub-id pub-id-type="medline">24784982</pub-id>
        <pub-id pub-id-type="pii">v16i5e117</pub-id>
        <pub-id pub-id-type="pmcid">PMC4026571</pub-id></nlm-citation>
      </ref>
      <ref id="ref18">
        <label>18</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Burrell</surname>
            <given-names>ER</given-names>
          </name>
          <name name-style="western">
            <surname>Pines</surname>
            <given-names>HA</given-names>
          </name>
          <name name-style="western">
            <surname>Robbie</surname>
            <given-names>E</given-names>
          </name>
          <name name-style="western">
            <surname>Coleman</surname>
            <given-names>L</given-names>
          </name>
          <name name-style="western">
            <surname>Murphy</surname>
            <given-names>RD</given-names>
          </name>
          <name name-style="western">
            <surname>Hess</surname>
            <given-names>KL</given-names>
          </name>
          <name name-style="western">
            <surname>Anton</surname>
            <given-names>P</given-names>
          </name>
          <name name-style="western">
            <surname>Gorbach</surname>
            <given-names>PM</given-names>
          </name>
        </person-group>
        <article-title>Use of the location-based social networking application GRINDR as a recruitment tool in rectal microbicide development research</article-title>
        <source>AIDS Behav</source>  
        <year>2012</year>  
        <month>10</month>  
        <volume>16</volume>  
        <issue>7</issue>  
        <fpage>1816</fpage>  
        <lpage>20</lpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://europepmc.org/abstract/MED/22851153"/>
        </comment>  
        <pub-id pub-id-type="doi">10.1007/s10461-012-0277-z</pub-id>
        <pub-id pub-id-type="medline">22851153</pub-id>
        <pub-id pub-id-type="pmcid">PMC3692292</pub-id></nlm-citation>
      </ref>
      <ref id="ref19">
        <label>19</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Graham</surname>
            <given-names>AL</given-names>
          </name>
          <name name-style="western">
            <surname>Fang</surname>
            <given-names>Y</given-names>
          </name>
          <name name-style="western">
            <surname>Moreno</surname>
            <given-names>JL</given-names>
          </name>
          <name name-style="western">
            <surname>Streiff</surname>
            <given-names>SL</given-names>
          </name>
          <name name-style="western">
            <surname>Villegas</surname>
            <given-names>J</given-names>
          </name>
          <name name-style="western">
            <surname>Muñoz</surname>
            <given-names>RF</given-names>
          </name>
          <name name-style="western">
            <surname>Tercyak</surname>
            <given-names>KP</given-names>
          </name>
          <name name-style="western">
            <surname>Mandelblatt</surname>
            <given-names>JS</given-names>
          </name>
          <name name-style="western">
            <surname>Vallone</surname>
            <given-names>DM</given-names>
          </name>
        </person-group>
        <article-title>Online advertising to reach and recruit Latino smokers to an internet cessation program: impact and costs</article-title>
        <source>J Med Internet Res</source>  
        <year>2012</year>  
        <volume>14</volume>  
        <issue>4</issue>  
        <fpage>e116</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.jmir.org/2012/4/e116/"/>
        </comment>  
        <pub-id pub-id-type="doi">10.2196/jmir.2162</pub-id>
        <pub-id pub-id-type="medline">22954502</pub-id>
        <pub-id pub-id-type="pii">v14i4e116</pub-id>
        <pub-id pub-id-type="pmcid">PMC3510691</pub-id></nlm-citation>
      </ref>
      <ref id="ref20">
        <label>20</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Heffner</surname>
            <given-names>JL</given-names>
          </name>
          <name name-style="western">
            <surname>Wyszynski</surname>
            <given-names>CM</given-names>
          </name>
          <name name-style="western">
            <surname>Comstock</surname>
            <given-names>B</given-names>
          </name>
          <name name-style="western">
            <surname>Mercer</surname>
            <given-names>LD</given-names>
          </name>
          <name name-style="western">
            <surname>Bricker</surname>
            <given-names>J</given-names>
          </name>
        </person-group>
        <article-title>Overcoming recruitment challenges of web-based interventions for tobacco use: the case of web-based acceptance and commitment therapy for smoking cessation</article-title>
        <source>Addict Behav</source>  
        <year>2013</year>  
        <month>10</month>  
        <volume>38</volume>  
        <issue>10</issue>  
        <fpage>2473</fpage>  
        <lpage>6</lpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://europepmc.org/abstract/MED/23770645"/>
        </comment>  
        <pub-id pub-id-type="doi">10.1016/j.addbeh.2013.05.004</pub-id>
        <pub-id pub-id-type="medline">23770645</pub-id>
        <pub-id pub-id-type="pii">S0306-4603(13)00134-2</pub-id>
        <pub-id pub-id-type="pmcid">PMC3725211</pub-id></nlm-citation>
      </ref>
      <ref id="ref21">
        <label>21</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Layi</surname>
            <given-names>G</given-names>
          </name>
          <name name-style="western">
            <surname>Albright</surname>
            <given-names>CA</given-names>
          </name>
          <name name-style="western">
            <surname>Berenberg</surname>
            <given-names>J</given-names>
          </name>
          <name name-style="western">
            <surname>Plant</surname>
            <given-names>K</given-names>
          </name>
          <name name-style="western">
            <surname>Ritter</surname>
            <given-names>P</given-names>
          </name>
          <name name-style="western">
            <surname>Laurent</surname>
            <given-names>D</given-names>
          </name>
          <name name-style="western">
            <surname>Lorig</surname>
            <given-names>K</given-names>
          </name>
          <name name-style="western">
            <surname>Bantum</surname>
            <given-names>EO</given-names>
          </name>
        </person-group>
        <article-title>UH Cancer Center Hotline: Recruiting cancer survivors for an online health-behavior change intervention: are different strategies more beneficial?</article-title>
        <source>Hawaii Med J</source>  
        <year>2011</year>  
        <month>10</month>  
        <volume>70</volume>  
        <issue>10</issue>  
        <fpage>222</fpage>  
        <lpage>3</lpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://europepmc.org/abstract/MED/22162599"/>
        </comment>  
        <pub-id pub-id-type="medline">22162599</pub-id>
        <pub-id pub-id-type="pmcid">PMC3215984</pub-id></nlm-citation>
      </ref>
      <ref id="ref22">
        <label>22</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Martinez</surname>
            <given-names>O</given-names>
          </name>
          <name name-style="western">
            <surname>Wu</surname>
            <given-names>E</given-names>
          </name>
          <name name-style="western">
            <surname>Shultz</surname>
            <given-names>AZ</given-names>
          </name>
          <name name-style="western">
            <surname>Capote</surname>
            <given-names>J</given-names>
          </name>
          <name name-style="western">
            <surname>López Rios</surname>
            <given-names>J</given-names>
          </name>
          <name name-style="western">
            <surname>Sandfort</surname>
            <given-names>T</given-names>
          </name>
          <name name-style="western">
            <surname>Manusov</surname>
            <given-names>J</given-names>
          </name>
          <name name-style="western">
            <surname>Ovejero</surname>
            <given-names>H</given-names>
          </name>
          <name name-style="western">
            <surname>Carballo-Dieguez</surname>
            <given-names>A</given-names>
          </name>
          <name name-style="western">
            <surname>Chavez Baray</surname>
            <given-names>S</given-names>
          </name>
          <name name-style="western">
            <surname>Moya</surname>
            <given-names>E</given-names>
          </name>
          <name name-style="western">
            <surname>López Matos</surname>
            <given-names>J</given-names>
          </name>
          <name name-style="western">
            <surname>DelaCruz</surname>
            <given-names>JJ</given-names>
          </name>
          <name name-style="western">
            <surname>Remien</surname>
            <given-names>RH</given-names>
          </name>
          <name name-style="western">
            <surname>Rhodes</surname>
            <given-names>SD</given-names>
          </name>
        </person-group>
        <article-title>Still a hard-to-reach population? Using social media to recruit Latino gay couples for an HIV intervention adaptation study</article-title>
        <source>J Med Internet Res</source>  
        <year>2014</year>  
        <volume>16</volume>  
        <issue>4</issue>  
        <fpage>e113</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.jmir.org/2014/4/e113/"/>
        </comment>  
        <pub-id pub-id-type="doi">10.2196/jmir.3311</pub-id>
        <pub-id pub-id-type="medline">24763130</pub-id>
        <pub-id pub-id-type="pii">v16i4e113</pub-id>
        <pub-id pub-id-type="pmcid">PMC4019772</pub-id></nlm-citation>
      </ref>
      <ref id="ref23">
        <label>23</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Quach</surname>
            <given-names>S</given-names>
          </name>
          <name name-style="western">
            <surname>Pereira</surname>
            <given-names>JA</given-names>
          </name>
          <name name-style="western">
            <surname>Russell</surname>
            <given-names>ML</given-names>
          </name>
          <name name-style="western">
            <surname>Wormsbecker</surname>
            <given-names>AE</given-names>
          </name>
          <name name-style="western">
            <surname>Ramsay</surname>
            <given-names>H</given-names>
          </name>
          <name name-style="western">
            <surname>Crowe</surname>
            <given-names>L</given-names>
          </name>
          <name name-style="western">
            <surname>Quan</surname>
            <given-names>SD</given-names>
          </name>
          <name name-style="western">
            <surname>Kwong</surname>
            <given-names>J</given-names>
          </name>
        </person-group>
        <article-title>The good, bad, and ugly of online recruitment of parents for health-related focus groups: lessons learned</article-title>
        <source>J Med Internet Res</source>  
        <year>2013</year>  
        <month>01</month>  
        <volume>15</volume>  
        <issue>11</issue>  
        <fpage>e250</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.jmir.org/2013/11/e250/"/>
        </comment>  
        <pub-id pub-id-type="doi">10.2196/jmir.2829</pub-id>
        <pub-id pub-id-type="medline">24231040</pub-id>
        <pub-id pub-id-type="pii">v15i11e250</pub-id>
        <pub-id pub-id-type="pmcid">PMC3841369</pub-id></nlm-citation>
      </ref>
      <ref id="ref24">
        <label>24</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Rabin</surname>
            <given-names>C</given-names>
          </name>
          <name name-style="western">
            <surname>Horowitz</surname>
            <given-names>S</given-names>
          </name>
          <name name-style="western">
            <surname>Marcus</surname>
            <given-names>B</given-names>
          </name>
        </person-group>
        <article-title>Recruiting young adult cancer survivors for behavioral research</article-title>
        <source>J Clin Psychol Med Settings</source>  
        <year>2013</year>  
        <month>03</month>  
        <volume>20</volume>  
        <issue>1</issue>  
        <fpage>33</fpage>  
        <lpage>6</lpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://europepmc.org/abstract/MED/22810954"/>
        </comment>  
        <pub-id pub-id-type="doi">10.1007/s10880-012-9317-0</pub-id>
        <pub-id pub-id-type="medline">22810954</pub-id>
        <pub-id pub-id-type="pmcid">PMC3541434</pub-id></nlm-citation>
      </ref>
      <ref id="ref25">
        <label>25</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Shere</surname>
            <given-names>M</given-names>
          </name>
          <name name-style="western">
            <surname>Zhao</surname>
            <given-names>XY</given-names>
          </name>
          <name name-style="western">
            <surname>Koren</surname>
            <given-names>G</given-names>
          </name>
        </person-group>
        <article-title>The role of social media in recruiting for clinical trials in pregnancy</article-title>
        <source>PLoS One</source>  
        <year>2014</year>  
        <volume>9</volume>  
        <issue>3</issue>  
        <fpage>e92744</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://dx.plos.org/10.1371/journal.pone.0092744"/>
        </comment>  
        <pub-id pub-id-type="doi">10.1371/journal.pone.0092744</pub-id>
        <pub-id pub-id-type="medline">24671210</pub-id>
        <pub-id pub-id-type="pii">PONE-D-12-38063</pub-id>
        <pub-id pub-id-type="pmcid">PMC3966825</pub-id></nlm-citation>
      </ref>
      <ref id="ref26">
        <label>26</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Thériault</surname>
            <given-names>N</given-names>
          </name>
          <name name-style="western">
            <surname>Bi</surname>
            <given-names>P</given-names>
          </name>
          <name name-style="western">
            <surname>Hiller</surname>
            <given-names>JE</given-names>
          </name>
          <name name-style="western">
            <surname>Nor</surname>
            <given-names>M</given-names>
          </name>
        </person-group>
        <article-title>Use of web 2.0 to recruit Australian gay men to an online HIV/AIDS survey</article-title>
        <source>J Med Internet Res</source>  
        <year>2012</year>  
        <volume>14</volume>  
        <issue>6</issue>  
        <fpage>e149</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.jmir.org/2012/6/e149/"/>
        </comment>  
        <pub-id pub-id-type="doi">10.2196/jmir.1819</pub-id>
        <pub-id pub-id-type="medline">23128646</pub-id>
        <pub-id pub-id-type="pii">v14i6e149</pub-id>
        <pub-id pub-id-type="pmcid">PMC3510723</pub-id></nlm-citation>
      </ref>
      <ref id="ref27">
        <label>27</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Vial</surname>
            <given-names>AC</given-names>
          </name>
          <name name-style="western">
            <surname>Starks</surname>
            <given-names>TJ</given-names>
          </name>
          <name name-style="western">
            <surname>Parsons</surname>
            <given-names>JT</given-names>
          </name>
        </person-group>
        <article-title>Finding and recruiting the highest risk HIV-negative men who have sex with men</article-title>
        <source>AIDS Educ Prev</source>  
        <year>2014</year>  
        <month>02</month>  
        <volume>26</volume>  
        <issue>1</issue>  
        <fpage>56</fpage>  
        <lpage>67</lpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://europepmc.org/abstract/MED/24450278"/>
        </comment>  
        <pub-id pub-id-type="doi">10.1521/aeap.2014.26.1.56</pub-id>
        <pub-id pub-id-type="medline">24450278</pub-id>
        <pub-id pub-id-type="pmcid">PMC4082973</pub-id></nlm-citation>
      </ref>
      <ref id="ref28">
        <label>28</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Carlini</surname>
            <given-names>BH</given-names>
          </name>
          <name name-style="western">
            <surname>Safioti</surname>
            <given-names>L</given-names>
          </name>
          <name name-style="western">
            <surname>Rue</surname>
            <given-names>TC</given-names>
          </name>
          <name name-style="western">
            <surname>Miles</surname>
            <given-names>L</given-names>
          </name>
        </person-group>
        <article-title>Using Internet to recruit immigrants with language and culture barriers for tobacco and alcohol use screening: a study among Brazilians</article-title>
        <source>J Immigr Minor Health</source>  
        <year>2015</year>  
        <month>04</month>  
        <volume>17</volume>  
        <issue>2</issue>  
        <fpage>553</fpage>  
        <lpage>60</lpage>  
        <pub-id pub-id-type="doi">10.1007/s10903-013-9934-1</pub-id>
        <pub-id pub-id-type="medline">24563138</pub-id></nlm-citation>
      </ref>
      <ref id="ref29">
        <label>29</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Haines-Saah</surname>
            <given-names>RJ</given-names>
          </name>
          <name name-style="western">
            <surname>Kelly</surname>
            <given-names>MT</given-names>
          </name>
          <name name-style="western">
            <surname>Oliffe</surname>
            <given-names>JL</given-names>
          </name>
          <name name-style="western">
            <surname>Bottorff</surname>
            <given-names>JL</given-names>
          </name>
        </person-group>
        <article-title>Picture Me Smokefree: a qualitative study using social media and digital photography to engage young adults in tobacco reduction and cessation</article-title>
        <source>J Med Internet Res</source>  
        <year>2015</year>  
        <volume>17</volume>  
        <issue>1</issue>  
        <fpage>e27</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.jmir.org/2015/1/e27/"/>
        </comment>  
        <pub-id pub-id-type="doi">10.2196/jmir.4061</pub-id>
        <pub-id pub-id-type="medline">25624064</pub-id>
        <pub-id pub-id-type="pii">v17i1e27</pub-id>
        <pub-id pub-id-type="pmcid">PMC4327185</pub-id></nlm-citation>
      </ref>
      <ref id="ref30">
        <label>30</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Miyagi</surname>
            <given-names>E</given-names>
          </name>
          <name name-style="western">
            <surname>Motoki</surname>
            <given-names>Y</given-names>
          </name>
          <name name-style="western">
            <surname>Asai-Sato</surname>
            <given-names>M</given-names>
          </name>
          <name name-style="western">
            <surname>Taguri</surname>
            <given-names>M</given-names>
          </name>
          <name name-style="western">
            <surname>Morita</surname>
            <given-names>S</given-names>
          </name>
          <name name-style="western">
            <surname>Hirahara</surname>
            <given-names>F</given-names>
          </name>
          <name name-style="western">
            <surname>Wark</surname>
            <given-names>JD</given-names>
          </name>
          <name name-style="western">
            <surname>Garland</surname>
            <given-names>SM</given-names>
          </name>
        </person-group>
        <article-title>Web-based recruiting for a survey on knowledge and awareness of cervical cancer prevention among young women living in Kanagawa prefecture, Japan</article-title>
        <source>Int J Gynecol Cancer</source>  
        <year>2014</year>  
        <month>09</month>  
        <volume>24</volume>  
        <issue>7</issue>  
        <fpage>1347</fpage>  
        <lpage>55</lpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://europepmc.org/abstract/MED/25054449"/>
        </comment>  
        <pub-id pub-id-type="doi">10.1097/IGC.0000000000000220</pub-id>
        <pub-id pub-id-type="medline">25054449</pub-id>
        <pub-id pub-id-type="pmcid">PMC4172317</pub-id></nlm-citation>
      </ref>
      <ref id="ref31">
        <label>31</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Wilkerson</surname>
            <given-names>JM</given-names>
          </name>
          <name name-style="western">
            <surname>Shenk</surname>
            <given-names>JE</given-names>
          </name>
          <name name-style="western">
            <surname>Grey</surname>
            <given-names>JA</given-names>
          </name>
          <name name-style="western">
            <surname>Simon Rosser</surname>
            <given-names>BR</given-names>
          </name>
          <name name-style="western">
            <surname>Noor</surname>
            <given-names>SW</given-names>
          </name>
        </person-group>
        <article-title>Recruitment strategies of methamphetamine-using men who have sex with men into an online survey</article-title>
        <source>J Subst Use</source>  
        <year>2015</year>  
        <volume>20</volume>  
        <issue>1</issue>  
        <fpage>33</fpage>  
        <lpage>37</lpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://europepmc.org/abstract/MED/25642143"/>
        </comment>  
        <pub-id pub-id-type="doi">10.3109/14659891.2013.868936</pub-id>
        <pub-id pub-id-type="medline">25642143</pub-id>
        <pub-id pub-id-type="pmcid">PMC4310002</pub-id></nlm-citation>
      </ref>
      <ref id="ref32">
        <label>32</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Ince</surname>
            <given-names>BU</given-names>
          </name>
          <name name-style="western">
            <surname>Cuijpers</surname>
            <given-names>P</given-names>
          </name>
          <name name-style="western">
            <surname>Hof</surname>
            <given-names>EV</given-names>
          </name>
          <name name-style="western">
            <surname>Riper</surname>
            <given-names>H</given-names>
          </name>
        </person-group>
        <article-title>Reaching and recruiting Turkish migrants for a clinical trial through Facebook: a process evaluation</article-title>
        <source>Internet Interventions</source>  
        <year>2014</year>  
        <month>04</month>  
        <volume>1</volume>  
        <issue>2</issue>  
        <fpage>74</fpage>  
        <lpage>83</lpage>  
</nlm-citation>
      </ref>
      <ref id="ref33">
        <label>33</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Hernandez-Romieu</surname>
            <given-names>AC</given-names>
          </name>
          <name name-style="western">
            <surname>Sullivan</surname>
            <given-names>PS</given-names>
          </name>
          <name name-style="western">
            <surname>Sanchez</surname>
            <given-names>TH</given-names>
          </name>
          <name name-style="western">
            <surname>Kelley</surname>
            <given-names>CF</given-names>
          </name>
          <name name-style="western">
            <surname>Peterson</surname>
            <given-names>JL</given-names>
          </name>
          <name name-style="western">
            <surname>Del Rio</surname>
            <given-names>C</given-names>
          </name>
          <name name-style="western">
            <surname>Salazar</surname>
            <given-names>LF</given-names>
          </name>
          <name name-style="western">
            <surname>Frew</surname>
            <given-names>PM</given-names>
          </name>
          <name name-style="western">
            <surname>Rosenberg</surname>
            <given-names>ES</given-names>
          </name>
        </person-group>
        <article-title>The comparability of men who have sex with men recruited from venue-time-space sampling and Facebook: a cohort study</article-title>
        <source>JMIR Res Protoc</source>  
        <year>2014</year>  
        <volume>3</volume>  
        <issue>3</issue>  
        <fpage>e37</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.researchprotocols.org/2014/3/e37/"/>
        </comment>  
        <pub-id pub-id-type="doi">10.2196/resprot.3342</pub-id>
        <pub-id pub-id-type="medline">25048694</pub-id>
        <pub-id pub-id-type="pii">v3i3e37</pub-id>
        <pub-id pub-id-type="pmcid">PMC4129125</pub-id></nlm-citation>
      </ref>
      <ref id="ref34">
        <label>34</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Rait</surname>
            <given-names>MA</given-names>
          </name>
          <name name-style="western">
            <surname>Prochaska</surname>
            <given-names>JJ</given-names>
          </name>
          <name name-style="western">
            <surname>Rubinstein</surname>
            <given-names>ML</given-names>
          </name>
        </person-group>
        <article-title>Recruitment of adolescents for a smoking study: use of traditional strategies and social media</article-title>
        <source>Transl Behav Med</source>  
        <year>2015</year>  
        <month>09</month>  
        <volume>5</volume>  
        <issue>3</issue>  
        <fpage>254</fpage>  
        <lpage>9</lpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://europepmc.org/abstract/MED/26327930"/>
        </comment>  
        <pub-id pub-id-type="doi">10.1007/s13142-015-0312-5</pub-id>
        <pub-id pub-id-type="medline">26327930</pub-id>
        <pub-id pub-id-type="pii">312</pub-id>
        <pub-id pub-id-type="pmcid">PMC4537465</pub-id></nlm-citation>
      </ref>
      <ref id="ref35">
        <label>35</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Head</surname>
            <given-names>BF</given-names>
          </name>
          <name name-style="western">
            <surname>Dean</surname>
            <given-names>E</given-names>
          </name>
          <name name-style="western">
            <surname>Flanigan</surname>
            <given-names>T</given-names>
          </name>
          <name name-style="western">
            <surname>Swicegood</surname>
            <given-names>J</given-names>
          </name>
          <name name-style="western">
            <surname>Keating</surname>
            <given-names>MD</given-names>
          </name>
        </person-group>
        <article-title>Advertising for cognitive interviews: a comparison of Facebook, Craigslist, and snowball recruiting</article-title>
        <source>Soc Sci Computer Rev</source>  
        <year>2015</year>  
        <month>04</month>  
        <day>17</day>  
        <volume>34</volume>  
        <issue>3</issue>  
        <fpage>360</fpage>  
        <lpage>377</lpage>  
        <pub-id pub-id-type="doi">10.1177/0894439315578240</pub-id></nlm-citation>
      </ref>
      <ref id="ref36">
        <label>36</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Kayrouz</surname>
            <given-names>R</given-names>
          </name>
          <name name-style="western">
            <surname>Dear</surname>
            <given-names>BF</given-names>
          </name>
          <name name-style="western">
            <surname>Karin</surname>
            <given-names>E</given-names>
          </name>
          <name name-style="western">
            <surname>Titov</surname>
            <given-names>N</given-names>
          </name>
        </person-group>
        <article-title>Facebook as an effective recruitment strategy for mental health research of hard to reach populations</article-title>
        <source>Internet Interventions</source>  
        <year>2016</year>  
        <month>05</month>  
        <volume>4</volume>  
        <issue>1</issue>  
        <fpage>1</fpage>  
        <lpage>10</lpage>  
</nlm-citation>
      </ref>
      <ref id="ref37">
        <label>37</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Gu</surname>
            <given-names>LL</given-names>
          </name>
          <name name-style="western">
            <surname>Skierkowski</surname>
            <given-names>D</given-names>
          </name>
          <name name-style="western">
            <surname>Florin</surname>
            <given-names>P</given-names>
          </name>
          <name name-style="western">
            <surname>Friend</surname>
            <given-names>K</given-names>
          </name>
          <name name-style="western">
            <surname>Ye</surname>
            <given-names>Y</given-names>
          </name>
        </person-group>
        <article-title>Facebook, Twitter, &#38; Qr codes: an exploratory trail examining the feasibility of social media mechanisms for sample recruitment</article-title>
        <source>Comput Hum Behav</source>  
        <year>2016</year>  
        <month>07</month>  
        <volume>60</volume>  
        <fpage>86</fpage>  
        <lpage>96</lpage>  
        <pub-id pub-id-type="doi">10.1016/j.chb.2016.02.006</pub-id></nlm-citation>
      </ref>
      <ref id="ref38">
        <label>38</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Subbaraman</surname>
            <given-names>MS</given-names>
          </name>
          <name name-style="western">
            <surname>Laudet</surname>
            <given-names>AB</given-names>
          </name>
          <name name-style="western">
            <surname>Ritter</surname>
            <given-names>LA</given-names>
          </name>
          <name name-style="western">
            <surname>Stunz</surname>
            <given-names>A</given-names>
          </name>
          <name name-style="western">
            <surname>Kaskutas</surname>
            <given-names>LA</given-names>
          </name>
        </person-group>
        <article-title>Multi-source recruitment strategies for advancing addiction recovery research beyond treated samples</article-title>
        <source>J Community Psychol</source>  
        <year>2015</year>  
        <month>06</month>  
        <day>1</day>  
        <volume>43</volume>  
        <issue>5</issue>  
        <fpage>560</fpage>  
        <lpage>575</lpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://europepmc.org/abstract/MED/26166909"/>
        </comment>  
        <pub-id pub-id-type="doi">10.1002/jcop.21702</pub-id>
        <pub-id pub-id-type="medline">26166909</pub-id>
        <pub-id pub-id-type="pmcid">PMC4496001</pub-id></nlm-citation>
      </ref>
      <ref id="ref39">
        <label>39</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Khatri</surname>
            <given-names>C</given-names>
          </name>
          <name name-style="western">
            <surname>Chapman</surname>
            <given-names>SJ</given-names>
          </name>
          <name name-style="western">
            <surname>Glasbey</surname>
            <given-names>J</given-names>
          </name>
          <name name-style="western">
            <surname>Kelly</surname>
            <given-names>M</given-names>
          </name>
          <name name-style="western">
            <surname>Nepogodiev</surname>
            <given-names>D</given-names>
          </name>
          <name name-style="western">
            <surname>Bhangu</surname>
            <given-names>A</given-names>
          </name>
          <name name-style="western">
            <surname>Fitzgerald</surname>
            <given-names>JE</given-names>
          </name>
          <name name-style="western">
            <surname>STARSurg</surname>
            <given-names>C</given-names>
          </name>
        </person-group>
        <article-title>Social media and Internet driven study recruitment: evaluating a new model for promoting collaborator engagement and participation</article-title>
        <source>PLoS One</source>  
        <year>2015</year>  
        <volume>10</volume>  
        <issue>3</issue>  
        <fpage>e0118899</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://dx.plos.org/10.1371/journal.pone.0118899"/>
        </comment>  
        <pub-id pub-id-type="doi">10.1371/journal.pone.0118899</pub-id>
        <pub-id pub-id-type="medline">25775005</pub-id>
        <pub-id pub-id-type="pii">PONE-D-14-10649</pub-id>
        <pub-id pub-id-type="pmcid">PMC4361707</pub-id></nlm-citation>
      </ref>
      <ref id="ref40">
        <label>40</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Partridge</surname>
            <given-names>SR</given-names>
          </name>
          <name name-style="western">
            <surname>Balestracci</surname>
            <given-names>K</given-names>
          </name>
          <name name-style="western">
            <surname>Wong</surname>
            <given-names>AT</given-names>
          </name>
          <name name-style="western">
            <surname>Hebden</surname>
            <given-names>L</given-names>
          </name>
          <name name-style="western">
            <surname>McGeechan</surname>
            <given-names>K</given-names>
          </name>
          <name name-style="western">
            <surname>Denney-Wilson</surname>
            <given-names>E</given-names>
          </name>
          <name name-style="western">
            <surname>Harris</surname>
            <given-names>MF</given-names>
          </name>
          <name name-style="western">
            <surname>Phongsavan</surname>
            <given-names>P</given-names>
          </name>
          <name name-style="western">
            <surname>Bauman</surname>
            <given-names>A</given-names>
          </name>
          <name name-style="western">
            <surname>Allman-Farinelli</surname>
            <given-names>M</given-names>
          </name>
        </person-group>
        <article-title>Effective strategies to recruit young adults into the TXT2BFiT mHealth randomized controlled trial for weight gain prevention</article-title>
        <source>JMIR Res Protoc</source>  
        <year>2015</year>  
        <volume>4</volume>  
        <issue>2</issue>  
        <fpage>e66</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.researchprotocols.org/2015/2/e66/"/>
        </comment>  
        <pub-id pub-id-type="doi">10.2196/resprot.4268</pub-id>
        <pub-id pub-id-type="medline">26048581</pub-id>
        <pub-id pub-id-type="pii">v4i2e66</pub-id>
        <pub-id pub-id-type="pmcid">PMC4526902</pub-id></nlm-citation>
      </ref>
      <ref id="ref41">
        <label>41</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Carter-Harris</surname>
            <given-names>L</given-names>
          </name>
          <name name-style="western">
            <surname>Bartlett</surname>
            <given-names>ER</given-names>
          </name>
          <name name-style="western">
            <surname>Warrick</surname>
            <given-names>A</given-names>
          </name>
          <name name-style="western">
            <surname>Rawl</surname>
            <given-names>S</given-names>
          </name>
        </person-group>
        <article-title>Beyond traditional newspaper advertisement: leveraging Facebook-targeted advertisement to recruit long-term smokers for research</article-title>
        <source>J Med Internet Res</source>  
        <year>2016</year>  
        <volume>18</volume>  
        <issue>6</issue>  
        <fpage>e117</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.jmir.org/2016/6/e117/"/>
        </comment>  
        <pub-id pub-id-type="doi">10.2196/jmir.5502</pub-id>
        <pub-id pub-id-type="medline">27306780</pub-id>
        <pub-id pub-id-type="pii">v18i6e117</pub-id>
        <pub-id pub-id-type="pmcid">PMC4927805</pub-id></nlm-citation>
      </ref>
      <ref id="ref42">
        <label>42</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Frandsen</surname>
            <given-names>M</given-names>
          </name>
          <name name-style="western">
            <surname>Thow</surname>
            <given-names>M</given-names>
          </name>
          <name name-style="western">
            <surname>Ferguson</surname>
            <given-names>SG</given-names>
          </name>
        </person-group>
        <article-title>The effectiveness of social media (Facebook) compared with more traditional advertising methods for recruiting eligible participants to health research studies: a randomized, controlled clinical trial</article-title>
        <source>JMIR Res Protoc</source>  
        <year>2016</year>  
        <volume>5</volume>  
        <issue>3</issue>  
        <fpage>e161</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.researchprotocols.org/2016/3/e161/"/>
        </comment>  
        <pub-id pub-id-type="doi">10.2196/resprot.5747</pub-id>
        <pub-id pub-id-type="medline">27511829</pub-id>
        <pub-id pub-id-type="pii">v5i3e161</pub-id>
        <pub-id pub-id-type="pmcid">PMC4997003</pub-id></nlm-citation>
      </ref>
      <ref id="ref43">
        <label>43</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Bower</surname>
            <given-names>P</given-names>
          </name>
          <name name-style="western">
            <surname>Brueton</surname>
            <given-names>V</given-names>
          </name>
          <name name-style="western">
            <surname>Gamble</surname>
            <given-names>C</given-names>
          </name>
          <name name-style="western">
            <surname>Treweek</surname>
            <given-names>S</given-names>
          </name>
          <name name-style="western">
            <surname>Smith</surname>
            <given-names>CT</given-names>
          </name>
          <name name-style="western">
            <surname>Young</surname>
            <given-names>B</given-names>
          </name>
          <name name-style="western">
            <surname>Williamson</surname>
            <given-names>P</given-names>
          </name>
        </person-group>
        <article-title>Interventions to improve recruitment and retention in clinical trials: a survey and workshop to assess current practice and future priorities</article-title>
        <source>Trials</source>  
        <year>2014</year>  
        <volume>15</volume>  
        <fpage>399</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://trialsjournal.biomedcentral.com/articles/10.1186/1745-6215-15-399"/>
        </comment>  
        <pub-id pub-id-type="doi">10.1186/1745-6215-15-399</pub-id>
        <pub-id pub-id-type="medline">25322807</pub-id>
        <pub-id pub-id-type="pii">1745-6215-15-399</pub-id>
        <pub-id pub-id-type="pmcid">PMC4210542</pub-id></nlm-citation>
      </ref>
      <ref id="ref44">
        <label>44</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Bidmon</surname>
            <given-names>S</given-names>
          </name>
          <name name-style="western">
            <surname>Terlutter</surname>
            <given-names>R</given-names>
          </name>
        </person-group>
        <article-title>Gender differences in searching for health information on the Internet and the virtual patient-physician relationship in Germany: exploratory results on how men and women differ and why</article-title>
        <source>J Med Internet Res</source>  
        <year>2015</year>  
        <volume>17</volume>  
        <issue>6</issue>  
        <fpage>e156</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.jmir.org/2015/6/e156/"/>
        </comment>  
        <pub-id pub-id-type="doi">10.2196/jmir.4127</pub-id>
        <pub-id pub-id-type="medline">26099325</pub-id>
        <pub-id pub-id-type="pii">v17i6e156</pub-id>
        <pub-id pub-id-type="pmcid">PMC4526954</pub-id></nlm-citation>
      </ref>
      <ref id="ref45">
        <label>45</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Galea</surname>
            <given-names>S</given-names>
          </name>
          <name name-style="western">
            <surname>Tracy</surname>
            <given-names>M</given-names>
          </name>
        </person-group>
        <article-title>Participation rates in epidemiologic studies</article-title>
        <source>Ann Epidemiol</source>  
        <year>2007</year>  
        <month>09</month>  
        <volume>17</volume>  
        <issue>9</issue>  
        <fpage>643</fpage>  
        <lpage>53</lpage>  
        <pub-id pub-id-type="doi">10.1016/j.annepidem.2007.03.013</pub-id>
        <pub-id pub-id-type="medline">17553702</pub-id>
        <pub-id pub-id-type="pii">S1047-2797(07)00147-0</pub-id></nlm-citation>
      </ref>
      <ref id="ref46">
        <label>46</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Holloway</surname>
            <given-names>IW</given-names>
          </name>
          <name name-style="western">
            <surname>Rice</surname>
            <given-names>E</given-names>
          </name>
          <name name-style="western">
            <surname>Gibbs</surname>
            <given-names>J</given-names>
          </name>
          <name name-style="western">
            <surname>Winetrobe</surname>
            <given-names>H</given-names>
          </name>
          <name name-style="western">
            <surname>Dunlap</surname>
            <given-names>S</given-names>
          </name>
          <name name-style="western">
            <surname>Rhoades</surname>
            <given-names>H</given-names>
          </name>
        </person-group>
        <article-title>Acceptability of smartphone application-based HIV prevention among young men who have sex with men</article-title>
        <source>AIDS Behav</source>  
        <year>2014</year>  
        <month>02</month>  
        <volume>18</volume>  
        <issue>2</issue>  
        <fpage>285</fpage>  
        <lpage>96</lpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://europepmc.org/abstract/MED/24292281"/>
        </comment>  
        <pub-id pub-id-type="doi">10.1007/s10461-013-0671-1</pub-id>
        <pub-id pub-id-type="medline">24292281</pub-id>
        <pub-id pub-id-type="pmcid">PMC3946790</pub-id></nlm-citation>
      </ref>
      <ref id="ref47">
        <label>47</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Sun</surname>
            <given-names>CJ</given-names>
          </name>
          <name name-style="western">
            <surname>Stowers</surname>
            <given-names>J</given-names>
          </name>
          <name name-style="western">
            <surname>Miller</surname>
            <given-names>C</given-names>
          </name>
          <name name-style="western">
            <surname>Bachmann</surname>
            <given-names>LH</given-names>
          </name>
          <name name-style="western">
            <surname>Rhodes</surname>
            <given-names>SD</given-names>
          </name>
        </person-group>
        <article-title>Acceptability and feasibility of using established geosocial and sexual networking mobile applications to promote HIV and STD testing among men who have sex with men</article-title>
        <source>AIDS Behav</source>  
        <year>2015</year>  
        <month>03</month>  
        <volume>19</volume>  
        <issue>3</issue>  
        <fpage>543</fpage>  
        <lpage>52</lpage>  
        <pub-id pub-id-type="doi">10.1007/s10461-014-0942-5</pub-id>
        <pub-id pub-id-type="medline">25381563</pub-id>
        <pub-id pub-id-type="pmcid">PMC4359067</pub-id></nlm-citation>
      </ref>
      <ref id="ref48">
        <label>48</label>
        <nlm-citation citation-type="journal">
        <person-group person-group-type="author">
          <name name-style="western">
            <surname>Khazaal</surname>
            <given-names>Y</given-names>
          </name>
          <name name-style="western">
            <surname>van Singer</surname>
            <given-names>M</given-names>
          </name>
          <name name-style="western">
            <surname>Chatton</surname>
            <given-names>A</given-names>
          </name>
          <name name-style="western">
            <surname>Achab</surname>
            <given-names>S</given-names>
          </name>
          <name name-style="western">
            <surname>Zullino</surname>
            <given-names>D</given-names>
          </name>
          <name name-style="western">
            <surname>Rothen</surname>
            <given-names>S</given-names>
          </name>
          <name name-style="western">
            <surname>Khan</surname>
            <given-names>R</given-names>
          </name>
          <name name-style="western">
            <surname>Billieux</surname>
            <given-names>J</given-names>
          </name>
          <name name-style="western">
            <surname>Thorens</surname>
            <given-names>G</given-names>
          </name>
        </person-group>
        <article-title>Does self-selection affect samples' representativeness in online surveys? An investigation in online video game research</article-title>
        <source>J Med Internet Res</source>  
        <year>2014</year>  
        <volume>16</volume>  
        <issue>7</issue>  
        <fpage>e164</fpage>  
        <comment>
          <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.jmir.org/2014/7/e164/"/>
        </comment>  
        <pub-id pub-id-type="doi">10.2196/jmir.2759</pub-id>
        <pub-id pub-id-type="medline">25001007</pub-id>
        <pub-id pub-id-type="pii">v16i7e164</pub-id>
        <pub-id pub-id-type="pmcid">PMC4115258</pub-id></nlm-citation>
      </ref>
    </ref-list>
  </back>
</article>
