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  <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">v25i1e44530</article-id>
      <article-id pub-id-type="pmid">38048149</article-id>
      <article-id pub-id-type="doi">10.2196/44530</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 Medical Crowdfunding to Mitigate the Personal Costs of Serious Chronic Illness: Scoping Review</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Eysenbach</surname>
            <given-names>Gunther</given-names>
          </name>
        </contrib>
        <contrib contrib-type="editor">
          <name>
            <surname>Leung</surname>
            <given-names>Tiffany</given-names>
          </name>
        </contrib>
        <contrib contrib-type="editor">
          <name>
            <surname>de Azevedo Cardoso</surname>
            <given-names>Taiane</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Raghupathi</surname>
            <given-names>Wullianallur</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Snyder</surname>
            <given-names>Jeremy</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Grainger</surname>
            <given-names>Rebecca</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Killela</surname>
            <given-names>Mary</given-names>
          </name>
          <degrees>BSN, PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>School of Nursing</institution>
            <institution>University of North Carolina at Chapel Hill</institution>
            <addr-line>120 N Medical Dr</addr-line>
            <addr-line>Chapel Hill, NC, 27599</addr-line>
            <country>United States</country>
            <phone>1 919 843 8566</phone>
            <email>mkillela@email.unc.edu</email>
          </address>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-8826-673X</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Biddell</surname>
            <given-names>Caitlin</given-names>
          </name>
          <degrees>MPH, PhD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-1644-7187</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Keim-Malpass</surname>
            <given-names>Jessica</given-names>
          </name>
          <degrees>MSN, PhD</degrees>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-7035-8556</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Schwartz</surname>
            <given-names>Todd A</given-names>
          </name>
          <degrees>DrPH</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-0232-2543</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Soto</surname>
            <given-names>Sandra</given-names>
          </name>
          <degrees>MPH, PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-6423-9473</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author">
          <name name-style="western">
            <surname>Williams</surname>
            <given-names>Jessica</given-names>
          </name>
          <degrees>MPH, PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-6105-0296</ext-link>
        </contrib>
        <contrib id="contrib7" contrib-type="author">
          <name name-style="western">
            <surname>Santacroce</surname>
            <given-names>Sheila</given-names>
          </name>
          <degrees>MSN, PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-8713-8069</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>School of Nursing</institution>
        <institution>University of North Carolina at Chapel Hill</institution>
        <addr-line>Chapel Hill, NC</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Department of Health Policy and Management</institution>
        <institution>Gillings School of Global Public Health</institution>
        <institution>University of North Carolina at Chapel Hill</institution>
        <addr-line>Chapel Hill, NC</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>School of Medicine</institution>
        <institution>University of Virginia</institution>
        <addr-line>Charlottesville, VA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>Department of Biostatistics</institution>
        <institution>Gillings School of Global Public Health</institution>
        <institution>University of North Carolina at Chapel Hill</institution>
        <addr-line>Chapel Hill, NC</addr-line>
        <country>United States</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Mary Killela <email>mkillela@email.unc.edu</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2023</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>4</day>
        <month>12</month>
        <year>2023</year>
      </pub-date>
      <volume>25</volume>
      <elocation-id>e44530</elocation-id>
      <history>
        <date date-type="received">
          <day>22</day>
          <month>11</month>
          <year>2022</year>
        </date>
        <date date-type="rev-request">
          <day>16</day>
          <month>2</month>
          <year>2023</year>
        </date>
        <date date-type="rev-recd">
          <day>11</day>
          <month>5</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>26</day>
          <month>10</month>
          <year>2023</year>
        </date>
      </history>
      <copyright-statement>©Mary Killela, Caitlin Biddell, Jessica Keim-Malpass, Todd A Schwartz, Sandra Soto, Jessica Williams, Sheila Santacroce. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 04.12.2023.</copyright-statement>
      <copyright-year>2023</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), 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 https://www.jmir.org/, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://www.jmir.org/2023/1/e44530" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Persons diagnosed with serious chronic illnesses and their caretakers experience multiple types of financial costs that strain their income and generate financial distress. Many turn to medical crowdfunding (MCF) to mitigate the harms of these costs on their health and quality of life.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>This scoping review aims to summarize the research on MCF for persons diagnosed with serious chronic illness regarding study designs and methods; the responsible conduct of research practices; and study foci as they relate to stress, stress appraisals, and the coping processes.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>This review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. Eligible studies were conducted in countries designated as high income by the World Bank and focused on beneficiaries diagnosed with serious chronic illness. The findings of the included studies were summarized as they related to the key concepts in a conceptual framework derived from an established stress, appraisal, and coping framework and a conceptual model of financial toxicity in pediatric oncology.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>Overall, 26 studies were eligible for inclusion in the review. The main findings included a lack of integration of qualitative and quantitative approaches and the inconsistent reporting of the responsible conduct of research practices. The included studies focused on financial stressors that contributed to financial burden, such as out-of-pocket payments of medical bills, basic living expenses, medical travel expenses, and lost income owing to illness-related work disruptions. Few studies addressed stress appraisals as threatening or the adequacy of available financial resources. When mentioned, appraisals related to the global financial struggle during the COVID-19 pandemic or the capacity of social network members to donate funds. The consequences of MCF included the receipt of 3 forms of social support (tangible, informational, and emotional), privacy loss, embarrassment, and the propagation of scientifically unsupported information. Studies found that friends and family tended to manage MCF campaigns. Although most of the studies (21/26, 81%) focused on monetary outcomes, a few (5/26, 19%) concentrated on peoples’ experiences with MCF.</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>The identified methodological gaps highlight the need for more robust and reproducible approaches to using the copious data available on public MCF platforms. The integration of quantitative and qualitative methods will allow for nuanced explorations of the MCF experience. A more consistent elaboration of strategies to promote the responsible conduct of research is warranted to minimize risk to populations that are vulnerable and express concerns regarding the loss of privacy. Finally, an examination of the unanticipated consequences of MCF is critical for the development of future interventions to optimize existing supports while providing needed supports, financial and nonfinancial, that are lacking.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>COVID-19</kwd>
        <kwd>chronic illness</kwd>
        <kwd>costs</kwd>
        <kwd>financial</kwd>
        <kwd>stress</kwd>
        <kwd>appraisal</kwd>
        <kwd>coping</kwd>
        <kwd>crowdfunding</kwd>
        <kwd>social network</kwd>
        <kwd>social support</kwd>
        <kwd>caregiver</kwd>
        <kwd>systematic scoping review</kwd>
        <kwd>medical crowdfunding</kwd>
        <kwd>social network</kwd>
        <kwd>coping behavior</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <sec>
        <title>Background</title>
        <p>Medical crowdfunding (MCF) is the use of online platforms to raise funds to offset financial burden created by accumulating expenses and declining income for people experiencing health problems [<xref ref-type="bibr" rid="ref1">1</xref>]. This financial coping behavior requires a person in need (beneficiary) or someone close to them (campaigner) to create a <italic>campaign</italic> that is then shared. Ideally, MCF involves not only the social network of the beneficiary but also strangers who come across the campaign providing details of the story of the beneficiary’s health and finances. Although MCF is often described as an opportunity to organize social networks to provide financial support, campaigners have varied experiences. Sometimes the campaign can <italic>go viral</italic> (ie, shared far and wide within a brief time period) and generate sizable financial support [<xref ref-type="bibr" rid="ref2">2</xref>], whereas other campaigns receive scant attention and produce little to no financial support, including from friends and family [<xref ref-type="bibr" rid="ref3">3</xref>].</p>
        <p>The ultimate goal of MCF is to alleviate the beneficiary’s financial burden (financial demands on income and other assets with monetary value) and thus their financial distress (worry about money). Financial burden is a major psychosocial stressor with adverse effects on health and illnesses [<xref ref-type="bibr" rid="ref4">4</xref>-<xref ref-type="bibr" rid="ref7">7</xref>]. Serious chronic illnesses are health conditions that have been diagnosed by qualified health care professionals, require medical treatment and self-management for at least 3 months, and threaten life or quality of life [<xref ref-type="bibr" rid="ref8">8</xref>]. Persons with serious chronic illness and their caregivers often need to take frequent or extended time away from work or school [<xref ref-type="bibr" rid="ref9">9</xref>]. The work disruptions jeopardize their ability to maintain full-time employment and thus employer-sponsored health insurance coverage and enough income to pay for food, housing, and utilities. In addition, individuals with serious illness also have increased out-of-pocket costs, including for health-related travel [<xref ref-type="bibr" rid="ref10">10</xref>]. Individuals with serious chronic illness have a great financial need, which aligns with the fact that a major MCF platform, GoFundMe, cites that more than one-third of all campaigns created on its platform fall into the medical category [<xref ref-type="bibr" rid="ref11">11</xref>].</p>
        <p>The practice of MCF has existed for a little more than a decade (GoFundMe was created in 2010). Consequently, the study of MCF is in its early stages [<xref ref-type="bibr" rid="ref12">12</xref>]. Describing the methodologies used in this research area highlights how researchers are navigating MCF and exposes gaps in their current approaches. In addition, describing methodologies can elucidate strategies used to examine online talk, which is abundant on MCF pages. Online talk is any conversational text posted in a online space [<xref ref-type="bibr" rid="ref12">12</xref>]. MCF sites include both online talk and campaign outcomes measured in the number of shares and amount of funds raised, respectively. Much of the current literature has also focused on success factors as they relate to campaign outcomes (ie, how much money has been raised). Some of these factors include title and narrative length, younger age, gender (men), and early position in search results [<xref ref-type="bibr" rid="ref13">13</xref>,<xref ref-type="bibr" rid="ref14">14</xref>]. Understanding both campaign outcomes and the content of online talk on MCF pages is critical to describing campaigners’ financial coping experiences and identifying the utility of this financial coping behavior.</p>
        <p>Moreover, research on the application of new technology, such as the use of online platforms for MCF, requires considerations regarding the responsible conduct of research, and the current practices among studies examining MCF have not yet been summarized. Particularly in the case of MCF among individuals with serious chronic illness, there is a need for considerations of responsible conduct around privacy. There is currently a heterogeneity of considerations to protect the privacy of individuals’ health and financial status on MCF pages, and summarizing these is important to guide further work with these populations and data sources.</p>
      </sec>
      <sec>
        <title>Objectives</title>
        <p>The purpose of this paper was to map the current literature of MCF for individuals with serious chronic illness and identify gaps as they relate to this scoping review’s conceptual framework. The conceptual framework that guided this scoping review derives from the stress, appraisal, and coping framework formulated by Lazarus and Folkman [<xref ref-type="bibr" rid="ref15">15</xref>] as well as the model of financial toxicity in pediatric oncology developed by Santacroce and Kneipp [<xref ref-type="bibr" rid="ref16">16</xref>] (<xref rid="figure1" ref-type="fig">Figure 1</xref> [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>]). The first framework links the financial coping behavior of MCF to the stressors and appraisals that precede it, and the second framework links serious chronic illness to the stress, appraisal, and coping framework. The model guiding this review begins with the cognizance of financial burden in serious chronic illness and initiates a primary appraisal of whether this psychosocial stressor threatens health and quality of life. Subsequently, threat appraisals trigger secondary appraisals to determine whether available resources are sufficient to cope with financial burden appraised as threatening. Serious chronic illness–related financial burden appraised as threatening and resources appraised as insufficient generate financial distress, followed by financial coping behaviors [<xref ref-type="bibr" rid="ref16">16</xref>]. MCF is a financial coping behavior involving the solicitation of donations via an online platform by creating a web page that details the story of the person experiencing financial stress and asks social network members and other social media users to contribute funds. Sharing the story of a person’s health and finances in public online spaces to raise funds may have unanticipated beneficial as well as adverse consequences.</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Framework of stress, appraisal, and coping in medical crowdfunding.</p>
          </caption>
          <graphic xlink:href="jmir_v25i1e44530_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <p>The review addresses the following three research questions: (1) What methods have been used to study MCF? (2) What actions were taken to ensure the responsible conduct of the research? (3) What descriptions of MCF, contributors to financial burden, stress appraisals, social network characteristics, social support exchanged, and other consequences of MCF were identified by prior studies?</p>
      </sec>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Overview</title>
        <p>This review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) [<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref18">18</xref>] and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) [<xref ref-type="bibr" rid="ref19">19</xref>] guidelines. Search terms were related to crowdfunding and health, and search results were screened (title and abstract, followed by full text) to identify eligible articles. Once the sample had been established, findings from studies were extracted and then compiled into a series of matrices related to the research questions. The findings were then summarized and analyzed to see how they aligned with the conceptual framework guiding this review [<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref21">21</xref>].</p>
      </sec>
      <sec>
        <title>Inclusion and Exclusion Criteria</title>
        <p>The included studies focused on MCF by, or on behalf of, persons residing in high-income countries (HICs) and experiencing serious chronic illness, given that financial stressors inherent in long-lasting illnesses differ from those inherent in conditions that are time limited [<xref ref-type="bibr" rid="ref22">22</xref>]. Serious chronic illness was defined in this instance to include illnesses that had been formally diagnosed, persisted for at least 3 months, and threatened life or quality of life [<xref ref-type="bibr" rid="ref8">8</xref>]. Studies that used qualitative and quantitative approaches were included to comprehensively describe the approaches used. Studies that focused on crowdfunding to raise money for charitable foundations or research purposes or to assess the effects of crowdfunding on economic markets were excluded.</p>
      </sec>
      <sec>
        <title>Procedures</title>
        <p>A health sciences librarian was consulted to create the strings of search terms and identify the computerized databases to be searched. The databases searched were PubMed, CINAHL, Embase, EconLit, and Scopus. The search was limited to English-language publications. No limits were placed on publication years. The search cast a wide net to identify published studies of crowdfunding and subsequently, through title and abstract screening, eliminate studies not focused on MCF in the context of serious chronic illness. Two reviewers (MK and CB) independently screened the titles and abstracts of studies identified through the database searches and subsequently read the full texts of studies that met the inclusion criteria. The reference lists of the included studies were scanned for studies not identified through the computerized searches [<xref ref-type="bibr" rid="ref21">21</xref>]. The final search was conducted on February 16, 2022 (refer to <xref ref-type="boxed-text" rid="box1">Textbox 1</xref> for the search strings).</p>
        <boxed-text id="box1" position="float">
          <title>Strings of search terms created for this review.</title>
          <p>
            <bold>Databases and search strings</bold>
          </p>
          <list list-type="bullet">
            <list-item>
              <p>PubMed, CINAHL, and Embase: “crowdfunding” or “crowdfund” or “crowdfunded”</p>
            </list-item>
            <list-item>
              <p>Scopus and EconLit: (TITLE-ABS-KEY (“crowdfunding” OR “crowdfund” OR “crowdfunded”)) AND (“medical” OR “health” OR “patient” OR “patients” OR “healthcare”)</p>
            </list-item>
          </list>
        </boxed-text>
      </sec>
      <sec>
        <title>Data Collection and Management</title>
        <p>Data from the included studies were collected using a standardized extraction tool derived from the conceptual framework (<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). The tool was created to map on to the 3 research questions with basic information about the study; the methodology components of the study (informed by the concepts related to research on online talk [<xref ref-type="bibr" rid="ref12">12</xref>]); the components of the responsible conduct of research mentioned in the Belmont Report, including respect for persons, beneficence, and justice [<xref ref-type="bibr" rid="ref23">23</xref>]; and the components of the conceptual framework [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>]. Specifically, concepts include information on the campaign beneficiary’s diagnosis and illness phase, stressors that led to MCF, stress appraisal, the beneficial and adverse consequences of MCF, and any other concepts that emerged from the included studies. Location was determined by country identified from MCF pages, not the country of the study team. The initial extraction tool was discussed between the 2 reviewers to identify areas for improvement. Regarding the responsible conduct of research, studies were examined to see whether the authors asked for consent or, in cases of publicly available data, made any modifications to protect the privacy of the person (respect for persons), as well as whether any steps were taken to protect the stored data (beneficence and justice). Upon completion of the tool, the second reviewer agreed that the tool adequately represented the information needed to address the research questions, and few clarification adjustments were made. Once the tool was finalized, the first reviewer independently conducted all extractions, whereas the second reviewer independently completed 20% of the extractions for quality assurance. Both reviewers met regularly to discuss consistency and resolve disagreements.</p>
      </sec>
      <sec>
        <title>Synthesis of Results</title>
        <p>The extracted data were compiled in matrices to identify gaps and summarize key findings [<xref ref-type="bibr" rid="ref24">24</xref>], including the counts of studies that addressed specific components of the study framework, used particular methodological approaches, or addressed the responsible conduct of research.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Database Searches and Screening</title>
        <p>The initial database searches yielded 850 unique studies (<xref rid="figure2" ref-type="fig">Figure 2</xref> [<xref ref-type="bibr" rid="ref18">18</xref>]); after screening, we excluded 824 (96.9%) studies, and the final sample consisted of 26 (3.1%) studies (<xref ref-type="table" rid="table1">Tables 1</xref> and <xref ref-type="table" rid="table2">2</xref>). There were 2 major reasons for the exclusion of studies: the beneficiary did not live in an HIC, and the beneficiary did not have a serious chronic illness. Publication years ranged from 2017 to 2022, with the majority published in 2020 and 2021 (16/26, 62%). Of the 26 studies, 10 (38%) [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref25">25</xref>-<xref ref-type="bibr" rid="ref32">32</xref>] comprised campaigns located in the United States only, 6 (23%) [<xref ref-type="bibr" rid="ref33">33</xref>-<xref ref-type="bibr" rid="ref38">38</xref>] involved MCF campaigns located in the United States and other HICs, and another 6 (23%) [<xref ref-type="bibr" rid="ref39">39</xref>-<xref ref-type="bibr" rid="ref44">44</xref>] detailed MCF campaigns located in Canada. Other campaigns were located in Aotearoa New Zealand [<xref ref-type="bibr" rid="ref45">45</xref>,<xref ref-type="bibr" rid="ref46">46</xref>], Australia [<xref ref-type="bibr" rid="ref36">36</xref>], France [<xref ref-type="bibr" rid="ref37">37</xref>], Germany [<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref47">47</xref>], Ireland [<xref ref-type="bibr" rid="ref37">37</xref>], Belgium [<xref ref-type="bibr" rid="ref48">48</xref>], and the United Kingdom [<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]. Of the 26 studies, 2 (8%) [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref46">46</xref>] used theoretical frameworks (conceptualization of systems and biopower [<xref ref-type="bibr" rid="ref49">49</xref>,<xref ref-type="bibr" rid="ref50">50</xref>]) to guide their research.</p>
        <fig id="figure2" position="float">
          <label>Figure 2</label>
          <caption>
            <p>PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) diagram showing the number of studies identified, screened, assessed for eligibility, and included in the final analysis. MCF: medical crowdfunding.</p>
          </caption>
          <graphic xlink:href="jmir_v25i1e44530_fig2.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Key findings of studies that used quantitative methods or multiple methods.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="120"/>
            <col width="340"/>
            <col width="540"/>
            <thead>
              <tr valign="top">
                <td>Authors, year</td>
                <td>Population studied (sample size)</td>
                <td>Main findings related to stress, appraisal, and coping</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Cohen et al [<xref ref-type="bibr" rid="ref25">25</xref>], 2019</td>
                <td>Cancer (1035)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reasons for medical crowdfunding: direct medical costs, travel costs, and nonmedical costs.</p>
                    </list-item>
                    <list-item>
                      <p>Fundraising goals were much higher than funds raised, and there were large gaps in these ranges.</p>
                    </list-item>
                    <list-item>
                      <p>The person who created the page was often a “third party” (nonself) campaigner.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Di Carlo et al [<xref ref-type="bibr" rid="ref39">39</xref>], 2021</td>
                <td>Urological conditions (benign and cancer conditions; 119)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reasons for medical crowdfunding: direct medical costs, lost income, nonconventional treatments, and travel.</p>
                    </list-item>
                    <list-item>
                      <p>Most of the campaigns (87%) were created by friends or family.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Ho et al [<xref ref-type="bibr" rid="ref27">27</xref>], 2019</td>
                <td>Cancer (143)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reasons for medical crowdfunding: direct medical costs, travel, housing and living expenses, and replacement of lost income.</p>
                    </list-item>
                    <list-item>
                      <p>The average goal amount was approximately 4 times the average amount of funds raised.</p>
                    </list-item>
                    <list-item>
                      <p>The 3 campaigns that raised the most money accounted for more than half of all the funds raised in the study sample. Approximately a quarter of the campaigns included education on CAR<sup>a</sup> T-cell therapies.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Holler et al [<xref ref-type="bibr" rid="ref28">28</xref>], 2022</td>
                <td>Urological cancers (1234)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reasons for medical crowdfunding: direct medical costs and nonmedical costs.</p>
                    </list-item>
                    <list-item>
                      <p>Kidney cancers were the most common, yet testicular cancers raised the most amount of funds.</p>
                    </list-item>
                    <list-item>
                      <p>Most of the campaigns were not authored by the beneficiary, and most of the beneficiaries had advanced-stage cancer.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Kenworthy et al [<xref ref-type="bibr" rid="ref1">1</xref>], 2020</td>
                <td>Medical costs and health care costs (637)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Among the campaigns that were created by the beneficiary, 67% were created by women; among the campaigns that were created by a friend or family member, approximately 80% were created by women.</p>
                    </list-item>
                    <list-item>
                      <p>There are racial disparities in medical crowdfunding, both in terms of presence on the campaign websites (only 8% of the campaigns were on behalf of a Black beneficiary, and only 10% of the campaigns were on behalf of beneficiaries who were non-Black persons of color) and in terms of the amount of funds raised (Black campaigners raised on average US $22 less per donation).</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Livingstone et al [<xref ref-type="bibr" rid="ref48">48</xref>], 2021</td>
                <td>Spinal muscular atrophy (171)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Medical crowdfunding efforts raising funds for drugs for rare diseases have astronomically high goals to cover the cost of treatment. Often, this is not possible through an individual’s preexisting social networks.</p>
                    </list-item>
                    <list-item>
                      <p>Campaigns often included instances of minimizing the risks of treatments.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Loeb et al [<xref ref-type="bibr" rid="ref33">33</xref>], 2018</td>
                <td>Cancer (400)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reasons for medical crowdfunding: direct medical costs and lost income. Lost income was present in 4.5% of the prostate cancer campaigns on GoFundMe, 17% of the prostate cancer campaigns on YouCaring, and 2% of the breast cancer campaigns on GoFundMe.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Lublóy [<xref ref-type="bibr" rid="ref47">47</xref>], 2020</td>
                <td>Cancer (101), mental disorder (34), disability (26), accidents (23), lipoedema (22), genetic disorders and rare diseases (20), care of older adults and people with dementia (19), multiple sclerosis (15), and oral health (15)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reasons for medical crowdfunding: therapy (often alternative, scientifically unsupported therapies), living expenses, and treatment-related costs.</p>
                    </list-item>
                    <list-item>
                      <p>The diagnoses that had the highest funding goals were care of older adults and people with dementia, transplants, and cancer.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Pol et al [<xref ref-type="bibr" rid="ref41">41</xref>], 2019</td>
                <td>Kidney and liver transplants (429)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reasons for medical crowdfunding: living expenses, relocation, travel expenses, and loss of income.</p>
                    </list-item>
                    <list-item>
                      <p>More campaigns in this sample were for kidney transplants than for liver transplants.</p>
                    </list-item>
                    <list-item>
                      <p>Prayers were the most commonly requested form of nonfinancial support.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Prabhu et al [<xref ref-type="bibr" rid="ref34">34</xref>], 2021</td>
                <td>Cancer (555)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reasons for medical crowdfunding: travel and living expenses.</p>
                    </list-item>
                    <list-item>
                      <p>Some campaigns provided explanations of the therapies or links to provide their donors with more information.</p>
                    </list-item>
                    <list-item>
                      <p>Proton therapy was the radiation type with the highest funds raised and highest goals set.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Silver et al [<xref ref-type="bibr" rid="ref29">29</xref>], 2020</td>
                <td>Cancer (144,061)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reasons for medical crowdfunding: direct costs or loss of income related to cancer treatment.</p>
                    </list-item>
                    <list-item>
                      <p>The findings indicated that most of the campaigns originated from counties with low neighborhood deprivation index scores. Furthermore, counties with higher neighborhood deprivation index scores (lower-resourced counties) raised less money.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Snyder et al [<xref ref-type="bibr" rid="ref30">30</xref>], 2020</td>
                <td>Cancer, autism spectrum disorder, Niemann-Pick disease type C, amyotrophic lateral sclerosis, kidney failure, and muscular dystrophy (53)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>The descriptions of what funds were needed for were similar for both expanded access campaigns and right-to-try campaigns, including direct medical costs and travel costs. An exception was that some sponsors in the expanded access pathway covered the direct costs of treatment.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Snyder et al [<xref ref-type="bibr" rid="ref35">35</xref>], 2020</td>
                <td>Cancer (1309)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reasons for medical crowdfunding: supplements (30.2%), better nutrition (21%), and high-dose vitamin C (19.8%).</p>
                    </list-item>
                    <list-item>
                      <p>Beneficiaries with late-stage cancers (stage IV: 55.8%) made up the majority of the sample using medical crowdfunding to fund CAM<sup>b</sup> interventions.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Song et al [<xref ref-type="bibr" rid="ref32">32</xref>], 2020</td>
                <td>Cancer (500)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Higher-staged cancer was more present in CAM campaigns than in non-CAM campaigns (54% vs 12%). Medical crowdfunding is a tool to raise funds for individuals who prefer to attempt to treat cancer with CAM methods rather than with conventional cancer treatment; medical crowdfunding platforms can also be used to spread scientifically unsupported information.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Thomas et al [<xref ref-type="bibr" rid="ref36">36</xref>], 2021</td>
                <td>Kidney cancer (486)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reasons for medical crowdfunding: direct medical costs, nonmedical costs, travel expenses, and lost income.</p>
                    </list-item>
                    <list-item>
                      <p>Among the survivors of cancer, 37% were primary wage earners, 43% reported having to greatly decrease their work hours owing to their illness, and 34.4% mentioned that the beneficiary was employed.</p>
                    </list-item>
                    <list-item>
                      <p>Most of the campaigners were friends (28.8%) and family (14.4%). Approximately 8% of the campaigns mentioned an offline fundraiser (eg, a gala or a community dinner).</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>van Duynhoven et al [<xref ref-type="bibr" rid="ref43">43</xref>], 2019</td>
                <td>Cancer (1788)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Campaigns that were created to address the costs of cancer treatment in Canada were found to be primarily among individuals who live in areas that are high income, are well educated, have high percentages of home ownership, and live near city centers.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table1fn1">
              <p><sup>a</sup>CAR: chimeric antigen receptor.</p>
            </fn>
            <fn id="table1fn2">
              <p><sup>b</sup>CAM: complementary and alternative medicine.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>Key findings of qualitative studies.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="120"/>
            <col width="340"/>
            <col width="540"/>
            <thead>
              <tr valign="top">
                <td>Authors, year</td>
                <td>Population studied (sample size)</td>
                <td>Main findings related to stress, appraisal, and coping</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Ghazal et al [<xref ref-type="bibr" rid="ref26">26</xref>], 2022</td>
                <td>Cancer (46)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Medical crowdfunding among adolescent and young adult survivors of cancer illuminated the tension between needing funds and being appreciative of received funds. Adolescent and young adult survivors of cancer also felt humiliated to ask for funds and share personal and vulnerable details about their life and illness.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Kenworthy [<xref ref-type="bibr" rid="ref3">3</xref>], 2021</td>
                <td>Type 1 diabetes (2)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reasons for medical crowdfunding: direct medical costs and lost income.</p>
                    </list-item>
                    <list-item>
                      <p>Beneficiaries masked financial struggles to convince their donors that their donation was influential.</p>
                    </list-item>
                    <list-item>
                      <p>Beneficiaries experienced comparative suffering and self-blame when campaigns were not monetarily successful.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Neuwelt-Kearns et al [<xref ref-type="bibr" rid="ref45">45</xref>], 2021</td>
                <td>Cancer (8), motor neuron disease (1), multiple sclerosis (2), cerebral palsy (1), anorexia nervosa (1), autoimmune disease (1), and paraplegia (1)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Campaigners felt that campaigns needed to capture the attention of the crowd, demonstrate deservingness, and be accountable to the donors to continue to demonstrate their worth.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Palad and Snyder [<xref ref-type="bibr" rid="ref40">40</xref>], 2019</td>
                <td>Drug and alcohol addiction (other addictions: food, smoking, gambling, sex, and hoarding; 129)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reasons for medical crowdfunding: to afford treatment (direct medical costs), to survive treatment (living expenses), and to start life anew after treatment.</p>
                    </list-item>
                    <list-item>
                      <p>Beneficiaries were uncomfortable with discussing private information but felt it necessary to receive the help that they needed.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Snyder et al [<xref ref-type="bibr" rid="ref42">42</xref>], 2017</td>
                <td>Cancer, kidney disease, neurological disease, and Lyme disease (80)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reasons for medical crowdfunding: hospital parking, travel expenses, living expenses, time off work (lost income), experimental interventions, and direct medical costs not covered by the Canadian public health system.</p>
                    </list-item>
                    <list-item>
                      <p>Requests indicated that beneficiaries asked for financial donations as well as love and support from family and friends.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Snyder and Turner [<xref ref-type="bibr" rid="ref31">31</xref>], 2018</td>
                <td>Multiple sclerosis, chronic obstructive pulmonary disease, disease of the eye, joint disease, and Parkinson disease (78)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reason for medical crowdfunding: direct medical costs.</p>
                    </list-item>
                    <list-item>
                      <p>The persons involved used research as a way to communicate credibility and also to communicate that these interventions were not covered by insurance because they were experimental and that by participating they were helping the next generation by taking part in research on unproven stem cell–based interventions.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Vassell et al [<xref ref-type="bibr" rid="ref44">44</xref>], 2020</td>
                <td>Lyme disease (238)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reasons for medical crowdfunding: direct costs (holistic treatments, experimental stem cell therapies, and antibiotic treatments), living expenses, and travel costs (parking and car maintenance).</p>
                    </list-item>
                    <list-item>
                      <p>Some narratives of individuals with Lyme disease included a discussion of problems with the Canadian public health system and advocacy for better awareness of, and treatment for, Lyme disease.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Wardell [<xref ref-type="bibr" rid="ref46">46</xref>], 2021</td>
                <td>Cancer (23) and unspecified (36)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>The presentation of need during the COVID-19 lockdown in Aotearoa New Zealand changed the way campaigners were communicating their illness story. It was important for campaigners to express their need in the context of COVID-19, which had the dual impact of creating a shared experience with their social network while also explaining that their need was still great.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Zenone et al [<xref ref-type="bibr" rid="ref37">37</xref>], 2020</td>
                <td>Cancer (155)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Top reason for medical crowdfunding: cost of purchasing CBD<sup>a</sup> products.</p>
                    </list-item>
                    <list-item>
                      <p>Among the campaigns, 45.8% were for individuals with stage IV or terminal cancer.</p>
                    </list-item>
                    <list-item>
                      <p>Some of the campaigns contained anecdotal evidence suggesting that CBD was efficacious in ways that are not evidence based or misinterpreted available information.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Zenone et al [<xref ref-type="bibr" rid="ref38">38</xref>], 2021</td>
                <td>Cancer (96), seizure-inducing diseases or conditions (48), other or unspecified (6), joint or inflammatory diseases (6), mental health disorders (3), nervous system diseases (3), and autoimmune disease (2)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>This study focused on informational pathways that led campaigners to pursue CBD as a curative or palliative treatment. The analysis identified that many campaigners found CBD through their own research, with the minority using the recommendation of a trusted health care provider.</p>
                    </list-item>
                    <list-item>
                      <p>Campaigns were both sources of scientifically unsupported information and informational support.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table2fn1">
              <p><sup>a</sup>CBD: cannabidiol.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Methodological Approaches Used</title>
        <p>Of the 26 studies, 10 (38%) [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref31">31</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>,<xref ref-type="bibr" rid="ref42">42</xref>,<xref ref-type="bibr" rid="ref44">44</xref>-<xref ref-type="bibr" rid="ref46">46</xref>] used qualitative methods, 12 (46%) [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref27">27</xref>-<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref32">32</xref>-<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref43">43</xref>,<xref ref-type="bibr" rid="ref47">47</xref>] used quantitative methods, and 4 (15%) [<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref48">48</xref>] used multiple methods. The sample sizes in all included studies ranged from 2 to 144,061 (median 204.5, IQR 89.8-541.3); 19 (73%) of the 26 studies had sample sizes of ≥100. Among the qualitative studies, sample sizes ranged from 2 to 238 (median 79, IQR 49.3-148.5), whereas among the quantitative studies, sample sizes ranged from 119 to 144,061 (median 596, IQR 395-1,252.8). The studies that used multiple methods had sample sizes ranging from 53 to 486 (median 300, IQR 141.5-443.3).</p>
        <p>Most of the included studies (20/26, 77%) [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref27">27</xref>-<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref46">46</xref>-<xref ref-type="bibr" rid="ref48">48</xref>] used data from publicly available MCF pages. These studies analyzed either the narrative description written by the campaigner (a component of online talk; 20/20, 100%) [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref27">27</xref>-<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref46">46</xref>-<xref ref-type="bibr" rid="ref48">48</xref>] or reported campaign outcomes (eg, the goal amount of funds, the number of social media shares, and the amount of funds raised; 19/20, 95%) [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref27">27</xref>-<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref47">47</xref>,<xref ref-type="bibr" rid="ref48">48</xref>]. Of the 26 studies, 1 (4%) [<xref ref-type="bibr" rid="ref43">43</xref>] analyzed campaign outcomes alongside data from other sources such as census data, 2 (8%) [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref45">45</xref>] conducted interviews with MCF beneficiaries and campaigners, and 1 (4%) [<xref ref-type="bibr" rid="ref26">26</xref>] used web-based methods to survey beneficiaries about their experiences with MCF.</p>
      </sec>
      <sec>
        <title>Campaign Characteristics</title>
        <p>All included studies that used data available on MCF pages bounded their data (20/26, 77%). <italic>Bounding</italic> refers to setting limits on the data that will be examined [<xref ref-type="bibr" rid="ref12">12</xref>], typically either to enhance the feasibility of the research or to focus on the population of interest. Most of the included studies were bounded by MCF platform or website (24/26, 92%) [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref27">27</xref>-<xref ref-type="bibr" rid="ref48">48</xref>]; the clinical characteristics of campaign beneficiaries, such as person-reported medical diagnosis (20/26, 77%) [<xref ref-type="bibr" rid="ref25">25</xref>-<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref43">43</xref>,<xref ref-type="bibr" rid="ref44">44</xref>,<xref ref-type="bibr" rid="ref48">48</xref>]; and when the campaign platform was searched to obtain a sample (6/26, 23%) [<xref ref-type="bibr" rid="ref30">30</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="ref43">43</xref>,<xref ref-type="bibr" rid="ref46">46</xref>]. MCF platforms included GoFundMe (22/26, 85%), YouCaring (5/26, 19%), FundRazr (2/26, 8%), JustGiving (1/26, 4%), Generosity (1/26, 4%), Leetchi (1/26, 4%), and Givealittle (2/26, 8%).</p>
        <p>Most of the studies (24/26, 92%) collected data from publicly available MCF campaign pages, and the campaign was the unit of analysis. Exceptions include 12% (3/26) [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref45">45</xref>] of the studies, which used primary data collection with the individual as the unit of analysis. Analysis of data from publicly available MCF campaign pages involved transforming the extracted data into a usable format for analysis. Of the 26 studies, 3 (12%) [<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref32">32</xref>,<xref ref-type="bibr" rid="ref36">36</xref>] were analyses of a parent data set created for another study included in this scoping review [<xref ref-type="bibr" rid="ref25">25</xref>]. In other words, 4 (15%) of the 26 studies were drawn from the same data set of cancer crowdfunding campaigns. All included studies were retrospective and cross-sectional (26/26, 100%). Most of the studies (22/26, 85%) specified the date on which the MCF platform was searched for eligible campaigns to create a study sample. For the quantitative studies, the researchers did not explicate whether they extracted all data (eg, narratives and updates) posted between the campaign launch date and the sampling date or only the most recently posted data.</p>
      </sec>
      <sec>
        <title>Strategies to Ensure the Responsible Conduct of Research</title>
        <p>Of the 26 studies, 5 (19%) [<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref41">41</xref>] explicitly stated that the study was approved by an institutional review board (IRB) and exempted from further review. The reasons for exemption included the following: data were publicly available, data were deidentified, the researchers had no direct contact with participants, and the study was deemed as not involving human participants. Of the 26 studies, 11 (42%) [<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref32">32</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>,<xref ref-type="bibr" rid="ref42">42</xref>,<xref ref-type="bibr" rid="ref44">44</xref>,<xref ref-type="bibr" rid="ref47">47</xref>,<xref ref-type="bibr" rid="ref48">48</xref>] did not mention communicating with an IRB about the study, whereas 10 (38%) [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref28">28</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="ref39">39</xref>,<xref ref-type="bibr" rid="ref43">43</xref>,<xref ref-type="bibr" rid="ref45">45</xref>,<xref ref-type="bibr" rid="ref46">46</xref>] mentioned communication with their IRB but were unclear about the nature of the review (expedited or full) and the requirements for continuing the review. Of the 26 studies, 8 (31%) [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref43">43</xref>,<xref ref-type="bibr" rid="ref45">45</xref>,<xref ref-type="bibr" rid="ref46">46</xref>] elaborated on strategies to minimize risks to individuals’ privacy and the confidentiality of their data. Such strategies included deidentifying data, storing data on password-protected encrypted drives, reporting results in summary form, changing or removing quotations so that identities were not easily discoverable through search engines, and using pseudonyms in the data and reports of study results.</p>
      </sec>
      <sec>
        <title>Stress, Appraisal, and Coping Concepts Studied</title>
        <p>Key findings of the included studies are shown in <xref ref-type="table" rid="table1">Table 1</xref> (studies that used quantitative or multiple methods) and <xref ref-type="table" rid="table2">Table 2</xref> (studies that used qualitative methods).</p>
      </sec>
      <sec>
        <title>Sample Characteristics</title>
        <p>Of the 26 studies, 19 (73%) either focused on MCF to raise funds for beneficiaries with cancer (n=12, 63%) [<xref ref-type="bibr" rid="ref25">25</xref>-<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref32">32</xref>-<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref43">43</xref>] or included MCF for beneficiaries with cancer in the sample (n=7, 37%) [<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref42">42</xref>,<xref ref-type="bibr" rid="ref45">45</xref>-<xref ref-type="bibr" rid="ref47">47</xref>]. Illness was described in terms of disease stage or illness phase compared with active treatment. Among the studies that reported the beneficiaries’ disease stage (6/26, 23%) [<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref32">32</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>], stage IV or end-stage disease was reported most often and applied to between 23.1% and 55.8% of the sample (4/6, 67%) [<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]. For the studies that reported the beneficiaries’ illness phase (3/12, 25%) [<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref34">34</xref>], active treatment predominated. <xref ref-type="table" rid="table1">Tables 1</xref> and <xref ref-type="table" rid="table2">2</xref> present information about the populations represented in the samples of the included studies.</p>
        <p>Given that the unit of analysis in the included studies was usually the campaign, participant demographics were typically unclear; for instance, campaigns consist of campaigners and beneficiaries—the campaigner and the beneficiary may or may not be the same person. Some of the studies reported demographics (eg, biological sex, gender, race, and ethnicity) for beneficiaries only (5/26, 19%) [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref26">26</xref>-<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref36">36</xref>] or campaigners only (1/26, 4%) [<xref ref-type="bibr" rid="ref45">45</xref>]. Others reported demographics for beneficiaries and campaigners (1/26, 4%) [<xref ref-type="bibr" rid="ref1">1</xref>] or were unclear about whose demographics were being reported (2/26, 8%) [<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref32">32</xref>].</p>
        <p>Of the 26 studies, 11 (26%) [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref25">25</xref>-<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref45">45</xref>] reported beneficiary age. In 10 (91%) [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref25">25</xref>-<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref45">45</xref>] of these 11 studies, at least 70% of the beneficiaries were adults. Of the 26 studies, 10 (38%) [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref28">28</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="ref39">39</xref>,<xref ref-type="bibr" rid="ref40">40</xref>,<xref ref-type="bibr" rid="ref45">45</xref>] reported the relationship between campaigners and beneficiaries. The most commonly reported types of relationships were friends or family members (eg, the beneficiary’s child, spouse, parent, other immediate family member, other family, distant relative, friend, or coworker). Rarely was the campaigner also the beneficiary.</p>
        <p>Most of the studies (21/26, 81%) described MCF in terms of funds raised per campaign and median or average total funds raised across campaigns in the sample. However, the amounts were often reported without much context provided about how these numbers related to the need of beneficiaries. Great variability was seen in campaigns’ monetary goals and funds raised. Other commonly reported campaign outcomes included the proportion of monetary goal achieved, the number of social media shares, the number of donors, the number of updates posted, and campaign duration. The included studies also identified the factors that influenced the extent to which the campaign was monetarily successful in terms of total funds raised and in comparison with the stated monetary goal. These factors included beneficiary demographics, diagnosis (usually cancer), the number of donors, the number of social media shares, high or low monetary goals, attitudes conveyed in the narrative, the type of treatment sought, and the divulgence of personal information about the beneficiary.</p>
      </sec>
      <sec>
        <title>Contributors to Financial Burden or Financial Stressors</title>
        <p>Across studies, financial burden as a stressor was often a focus of the research. Most of the studies (24/26, 92%) [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref25">25</xref>-<xref ref-type="bibr" rid="ref42">42</xref>,<xref ref-type="bibr" rid="ref44">44</xref>-<xref ref-type="bibr" rid="ref48">48</xref>] mentioned out-of-pocket expenses as a contributor to financial burden. These expenses included nonreimbursable payments for goods and services to treat their illness or manage symptoms. In 6 (25%) of these 24 studies, funds were needed to pay for specifically cannabidiol products [<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref38">38</xref>], for therapies falsely marketed as curative options [<xref ref-type="bibr" rid="ref48">48</xref>], for therapies not covered by insurance but accessible under expanded access or right-to-try legislation [<xref ref-type="bibr" rid="ref30">30</xref>], or for an array of complementary and alternative medicine interventions [<xref ref-type="bibr" rid="ref32">32</xref>,<xref ref-type="bibr" rid="ref35">35</xref>]. Other contributors to financial burden included the usual expenses of daily living (eg, payments for housing, food, clothing, transportation, and utilities; 13/26, 50%) [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref34">34</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>,<xref ref-type="bibr" rid="ref44">44</xref>-<xref ref-type="bibr" rid="ref47">47</xref>] and treatment-related travel and lodging (14/26, 54%) [<xref ref-type="bibr" rid="ref25">25</xref>-<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref36">36</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>,<xref ref-type="bibr" rid="ref44">44</xref>-<xref ref-type="bibr" rid="ref47">47</xref>]. Another contributor cited was lost income (13/26, 50%) [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref29">29</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="ref39">39</xref>-<xref ref-type="bibr" rid="ref42">42</xref>,<xref ref-type="bibr" rid="ref44">44</xref>,<xref ref-type="bibr" rid="ref46">46</xref>] owing to illness-related employment disruptions for patients and their caregivers.</p>
      </sec>
      <sec>
        <title>Stress Appraisals</title>
        <p>Of the 26 studies, 2 (8%) mentioned stress appraisals. The first study examined MCF during the COVID-19 lockdown in Aotearoa New Zealand. The authors discussed the primary appraisal of campaigners reflected in their narratives. Campaigners explained their appraisal of the global health crisis to donors and how the global health crisis exacerbated the beneficiary’s already tenuous personal situation [<xref ref-type="bibr" rid="ref46">46</xref>]. The second study examined secondary appraisal, asking adolescent and young adult survivors of cancer about MCF. Participants communicated about whether they could access resources within their social networks to cope with the threat of financial harm. Some of the participants indicated that resources were available based on their socioeconomic status and the nature of their social networks, whereas others indicated that they lacked resources given their age and the financial circumstances of their friends and family [<xref ref-type="bibr" rid="ref26">26</xref>].</p>
      </sec>
      <sec>
        <title>Consequences of MCF</title>
        <p>Of the 26 studies, 12 (46%) [<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref28">28</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="ref37">37</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref40">40</xref>,<xref ref-type="bibr" rid="ref44">44</xref>-<xref ref-type="bibr" rid="ref46">46</xref>,<xref ref-type="bibr" rid="ref48">48</xref>] reported the consequences of MCF. Of these 12 studies, 4 (33%) [<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref48">48</xref>] discussed that MCF platforms were used to spread information that was not necessarily scientifically supported. This information ranged from information about generally accepted complementary therapies for symptom management to using those same generally accepted complementary therapies outside of their generally accepted use (eg, in lieu of conventional cancer treatment). Examples include campaigns seeking to raise funds for (1) untested stem cell treatments in direct-to-consumer formats [<xref ref-type="bibr" rid="ref31">31</xref>] and (2) cannabidiol products for curative purposes [<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref38">38</xref>] or (3) overemphasizing the potential of a spinal muscular atrophy treatment in the absence of evidence to support its efficacy [<xref ref-type="bibr" rid="ref48">48</xref>]. By contrast, other studies found that MCF platforms were used to spread awareness about certain illnesses (eg signs and symptoms) and for advocacy [<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref44">44</xref>].</p>
        <p>Other consequences were related to the experience of participating in MCF. These consequences included beneficiaries and campaigners feeling humiliated or embarrassed about MCF [<xref ref-type="bibr" rid="ref26">26</xref>]. In addition, adolescent and young adult survivors of cancer explained that there were trade-offs between feeling humiliated and benefiting from the funds raised [<xref ref-type="bibr" rid="ref26">26</xref>]. Such trade-offs included a loss of beneficiary privacy [<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref40">40</xref>,<xref ref-type="bibr" rid="ref45">45</xref>] and tensions regarding disclosing what is necessary to secure funds without divulging too much. Campaigners also described feeling pressured to maintain their campaign, communicate the beneficiaries’ deservingness to receive funds, and show fiscal accountability to donors while maintaining some modicum of privacy for the beneficiaries [<xref ref-type="bibr" rid="ref45">45</xref>]. Finally, a consequence of the narratives written by campaigners during the COVID-19 lockdown was that they facilitated empathy between beneficiaries and donors. Campaigners achieved this by explaining the beneficiary’s financial struggle within the shared context of the COVID-19 pandemic health crisis [<xref ref-type="bibr" rid="ref46">46</xref>].</p>
      </sec>
      <sec>
        <title>Social Support Exchanged and Social Networks Studied</title>
        <p>Social support was primarily exchanged via the donation of funds (ie, tangible support). This tangible support often came from people with whom the campaigner or beneficiary had preexisting relationships; 1 (4%) [<xref ref-type="bibr" rid="ref45">45</xref>] of the 26 studies indicated that strangers rarely offered this form of social support. However, the included studies found evidence of informational and emotional support in online talk. Of the 26 studies, 2 (8%) [<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref44">44</xref>] mentioned that the campaigns provided informational support to the social networks of the beneficiaries by generating awareness regarding their illness and its trajectory and providing information about a lesser-known treatment option. The instances of informational support also included education about chimeric antigen receptor (CAR) T-cell therapy, radiation therapy [<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref34">34</xref>], and sharing tips on surviving or thriving in isolation during the COVID-19 pandemic [<xref ref-type="bibr" rid="ref46">46</xref>].</p>
        <p>Emotional support exchanges included the sharing of well wishes and prayers [<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. References were made to social support provided offline [<xref ref-type="bibr" rid="ref36">36</xref>], specifically events where funds were raised, and other forms of social support were likely exchanged. Another study found that social support, including tangible support in the form of monetary donations, diminishes over time, and that MCF pages were most active closest to campaign creation [<xref ref-type="bibr" rid="ref26">26</xref>]. This same study indicated that MCF pages were helpful to the beneficiary’s social network members in terms of providing them with direction about what they might do to help when knowing what to do can be difficult [<xref ref-type="bibr" rid="ref26">26</xref>].</p>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>This scoping review identified major gaps in the research, including a lack of information about the responsible conduct of research, little examination of stress appraisals, and little focus on the unanticipated consequences of engaging in MCF. Although the included studies used both qualitative and quantitative approaches, the results were not integrated to advance the understanding of individual experiences with MCF.</p>
        <p>Although quantitative description can illuminate overall trends and patterns in MCF as a financial coping behavior, the unique value of an MCF campaign stems from the rich qualitative data that exist alongside the quantitative data. This review found that narratives were often used as the basis for additional statistics; for example, the authors may have examined the narratives for a discussion of the purpose of the campaign and then provided descriptive statistics on the different types of purposes. In other words, there were many across-case analyses but few within-case analyses. A gap remains in relating campaign narratives and campaign outcomes to the experience of the stressors that contribute to financial burden, the associated financial distress, and subsequent financial coping behaviors in the context of serious chronic illness. An examination of campaign narratives and the light they shed is key to informing clinicians and researchers about the potential financial consequences of the patient’s illness journey and identifying areas and inflection points for intervention.</p>
        <p>Information about the responsible conduct of research was consistently lacking across the included studies. Guidance found in this review to address the responsible conduct of research included using pseudonyms, modifying quotes when possible, and summarizing results to control the minimal risks associated with the research [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref43">43</xref>,<xref ref-type="bibr" rid="ref45">45</xref>,<xref ref-type="bibr" rid="ref46">46</xref>]. However, these strategies were not consistently used across studies. Given that many studies identified concerns about trade-offs between sharing personal information and needing to raise funds, researchers of MCF should be cognizant of this vulnerability and use these strategies to minimize risks to beneficiary privacy in relation to data about their health and finances. Valdez and Keim-Malpass [<xref ref-type="bibr" rid="ref51">51</xref>] provide a framework for researchers to use when making decisions about the appropriate responsible conduct of research on social media; for instance, in cases of public social media spaces, informed consent may not be possible if the researcher is unable to contact everyone represented in the online talk. Moreover, attempting to obtain consent may result in collecting more information than is necessary for the research and inadvertently threaten privacy [<xref ref-type="bibr" rid="ref51">51</xref>]. In addition, the risks posed by the research are likely no greater than those encountered in everyday use of public social media spaces. However, authors still have the capability to respect the privacy of individuals posting in these spaces. Researchers must consult with their local IRBs and not proceed with the research until the study has been reviewed and approved. Perhaps even more influential would be the creation of consensus-based reporting guidelines for researchers using MCF pages as their data source. These guidelines could assist both IRBs and researchers in determining how best to maintain privacy and standardize approaches to the responsible research of MCF.</p>
        <p>Although many of the studies (24/26, 92%) addressed the financial stressors that contributed to financial burden, social support exchanges, or other consequences of MCF (12/26, 46%), very few studies (2/26, 8%) explicitly addressed the primary and secondary appraisals of stressors. In this review, 1 (4%) of the 26 included studies described the primary appraisal process as comparing suffering, which resembles the cognitive coping strategy referred to as downward (or upward) comparison [<xref ref-type="bibr" rid="ref52">52</xref>]. In downward comparison, individuals compare themselves with someone they see as less fortunate to boost their subjective well-being [<xref ref-type="bibr" rid="ref52">52</xref>] or gain perspective. Evidence of comparisons regarding suffering, deservingness, or financial responsibility in MCF campaign online talk deserves further study and could be a common feature among campaigns, especially during the COVID-19 pandemic when a larger pool of people may be competing for a smaller pool of funds.</p>
        <p>The appraisals of financial burden as threatening or not and other psychosocial stressors by persons living with serious chronic illness have likely been influenced by the COVID-19 pandemic even if this has been mentioned specifically in only 1 (4%) [<xref ref-type="bibr" rid="ref46">46</xref>] of the 26 included studies. The COVID-19 pandemic has influenced individuals’ ability to work, especially in the service sector [<xref ref-type="bibr" rid="ref53">53</xref>]; complicated the availability of childcare [<xref ref-type="bibr" rid="ref54">54</xref>] and schooling; and generated additional out-of-pocket expenses (eg, personal protective equipment and at-home tests for COVID-19). The other study examining appraisal focused on the secondary appraisal of the adequacy of available financial resources [<xref ref-type="bibr" rid="ref26">26</xref>]. Other studies examining MCF have also found that social capital (ie, wealth and other resources of one’s social network) is a critical factor in MCF that contributes to existing health disparities [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref55">55</xref>]. Knowing more about what resources individuals perceive as being available to them is instrumental in the development of nonredundant interventions that optimize the types of supports that individuals have or can access while adding what they do not have.</p>
        <p>Many of the included papers focused on anticipated consequences, both beneficial and adverse. Conversely, few articles mentioned, and even fewer focused on, unanticipated consequences. Therefore, the conceptual framework was refined to specify the anticipated and unanticipated consequences of MCF (<xref rid="figure3" ref-type="fig">Figure 3</xref>). Highlighting what makes someone monetarily successful at MCF (an anticipated consequence) ignores both the systemic problems contributing to financial need and the other nonmonetary benefits (unanticipated consequences) of engagement in online communities [<xref ref-type="bibr" rid="ref55">55</xref>-<xref ref-type="bibr" rid="ref57">57</xref>]. The monetary benefits, although important and a major driver of engagement in MCF, may not be the only driver nor the only benefit. The importance of broadening the focus to include both anticipated and unanticipated consequences lies in the fact that it brings attention to the adverse effects of unmet needs and the beneficial effects of broadening one’s online social networks and thus the exchanges of other types of needed social support [<xref ref-type="bibr" rid="ref55">55</xref>,<xref ref-type="bibr" rid="ref57">57</xref>]. The receipt of funds, although important, may not be the only driver of participation in MCF. Therefore, the conceptual framework should reflect these varied consequences of MCF.</p>
        <fig id="figure3" position="float">
          <label>Figure 3</label>
          <caption>
            <p>Refined conceptual framework of stress, appraisal, and coping in medical crowdfunding.</p>
          </caption>
          <graphic xlink:href="jmir_v25i1e44530_fig3.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <p>The unanticipated consequences found in this review leaned toward both beneficial and adverse consequences. The adverse unanticipated consequences included both loss of privacy and the spread of scientifically unsupported information. Of the 26 included studies, 1 (4%) discussed the trade-off between campaigners respecting beneficiary privacy and feeling a need to divulge personal information to convince donors that the campaign is legitimate and the beneficiary worthy [<xref ref-type="bibr" rid="ref40">40</xref>]. Consistent with the findings of this review, other studies have found that people balance their financial needs with the personal medical information they are willing to share [<xref ref-type="bibr" rid="ref58">58</xref>]. Scientifically unsupported information has also been highlighted in prior work. This, in contrast to fraud, seems to be in good faith, meaning that the beneficiary believes in or perhaps has hopes for the approach, although ill-informed or unfounded. This finding, along with contemporary conversations about trusting science and the propagation of scientifically unsupported information related to COVID-19 [<xref ref-type="bibr" rid="ref59">59</xref>], indicates that MCF pages, similar to other forms of social media, have the potential to be dangerous. In addition, studies in this review identified concerns with regard to health equity in MCF campaigns. Several studies (3/26, 12%) found differences in the amount of money raised and the prevalence of campaigns by race, sex, neighborhood deprivation, income, and education [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref43">43</xref>], suggesting that MCF may exacerbate existing disparities in financial burden. As our review focused on individual-level stress, appraisal, and coping, we did not focus on the more systemic health equity implications of MCF. Nevertheless, this emerged as a notable component of the literature that merits future attention. Therefore, researchers ought to be mindful of health equity concerns regarding MCF, the privacy concerns of campaigners, and the reach and influence of information spread through MCF pages.</p>
        <p>Some unanticipated consequences could also be perceived as benefits. These benefits include sharing illness journeys and receiving emotional support. A gap among current studies concerns the communication of beneficiaries’ illness journey and the factors that led to engaging in MCF. The literature to date has paid greater attention to beneficiaries’ deservingness and the direness of their situation [<xref ref-type="bibr" rid="ref55">55</xref>,<xref ref-type="bibr" rid="ref57">57</xref>]. However, prior studies have demonstrated that individuals feel a catharsis from writing about, and sharing, their experience and appreciate having a record of their illness journey to reflect about their growth over time [<xref ref-type="bibr" rid="ref56">56</xref>]. Another benefit is the receipt of emotional support from online communities and having a space for illness-related informational exchanges [<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. MCF beneficiaries were extremely grateful for both monetary and nonmonetary support from their social network. Prior works also indicate that online social network members provided social support in non-MCF forums (eg, meal trains) and by commenting on, and sharing, MCF campaigns [<xref ref-type="bibr" rid="ref5">5</xref>]. Furthermore, MCF pages served as hubs for communicating current and urgent needs in a one-to-many format [<xref ref-type="bibr" rid="ref5">5</xref>]. Therefore, emotional support and sharing illness journeys highlight the utility of MCF that exists beyond the anticipated monetary support received.</p>
        <p>There were limitations to this scoping review. First, a major focus of this review was to describe the topics of online talk as they relate to sections of the conceptual model. Therefore, this review did not dive into the concepts of marketing and financial success of MCF or relate the results to this literature. Second, the review is limited to English-language publications about MCF campaigns by individuals with serious chronic illness living in HICs. However, MCF exists and is important in countries that are not designated as high income by the World Bank. Future research should fill this gap by reviewing the research of MCF in countries with mid- or low-income economies. By contrast, the lack of reliable internet or broadband and other essential infrastructure, personal digital devices, and technical know-how likely thwart MCF in mid- and low-income countries where treatment abandonment (failure to start or complete effective therapy) owing to cost is a major contributor to excess mortality, especially for young female individuals living in poverty in rural areas and lacking social support networks [<xref ref-type="bibr" rid="ref60">60</xref>,<xref ref-type="bibr" rid="ref61">61</xref>]. Many studies identified through computerized database searches were excluded because they lacked subanalyses specific to serious chronic illness or did not determine where campaigners or beneficiaries were living or seeking treatment. Therefore, the findings of this review are limited in scope and not broadly generalizable. In addition, this review did not publish its protocol publicly; future work should adhere to this element of the PRISMA-ScR guidelines [<xref ref-type="bibr" rid="ref19">19</xref>]. Finally, given the heterogeneity of designs and methodologies, comparisons across the included studies regarding financial outcomes are problematic. Establishing guidelines regarding MCF research methods will help future scholars to compare findings across studies.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>Although the use of social media platforms to raise needed funds is relatively new, this financial coping behavior for individuals with serious chronic illnesses is used by individuals in need. This review has identified gaps in the methodological approaches used to study MCF and in the foci of the research to date. Future research on MCF should qualitatively analyze more comprehensive stories of people’s journey to MCF and both anticipated and unanticipated consequences of engaging in this behavior so that we can design and adapt financial toxicity interventions to optimize the existing streams of support and supplement where support is lacking.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Extraction tool template.</p>
        <media xlink:href="jmir_v25i1e44530_app1.pdf" xlink:title="PDF File  (Adobe PDF File), 47 KB"/>
      </supplementary-material>
      <supplementary-material id="app2">
        <label>Multimedia Appendix 2</label>
        <p>PRISMA ScR Checklist.</p>
        <media xlink:href="jmir_v25i1e44530_app2.pdf" xlink:title="PDF File  (Adobe PDF File), 507 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">CAR</term>
          <def>
            <p>chimeric antigen receptor</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">HIC</term>
          <def>
            <p>high-income country</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">IRB</term>
          <def>
            <p>institutional review board</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">MCF</term>
          <def>
            <p>medical crowdfunding</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb5">PRISMA</term>
          <def>
            <p>Preferred Reporting Items for Systematic Reviews and Meta-Analyses</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb6">PRISMA-ScR</term>
          <def>
            <p>Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>The authors thank Jamie Conklin, Health Sciences Library, University of North Carolina at Chapel Hill, for her assistance with developing the search strategy and support with citation management. MK was supported by Interventions for Preventing and Managing Chronic Illness (T32NR007091); the Hillman Scholars Program in Nursing Innovation; the Nurses Educational Funds, Inc; the Henry B Spencer Scholarship, the James M Johnston Scholarship, the Barbara J Madden Scholarship, and the Dhillon Jordan Shah Innovation Fund. CB was supported by a Cancer Care Quality Training Program predoctoral fellowship offered by the UNC Lineberger Comprehensive Cancer Center (T32-CA-116339).</p>
    </ack>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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