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Technology has changed the way men who have sex with men (MSM) seek sex and socialize, which may impact the implementation of respondent-driven sampling (RDS) among this population. Initial participants (also known as seeds) are a critical consideration in RDS because they begin the recruitment chains. However, little information is available on how the online-recruited seeds may effect RDS implementation.
The objectives of this study were to compare (1) online-recruited versus offline-recruited seeds and (2) subsequent recruitment chains of online-recruited versus offline-recruited seeds.
Between 2012 and 2014, we recruited MSM using RDS in Vancouver, Canada. RDS weights were used with logistic regression to address each objective.
A total of 119 seeds were used, 85 of whom were online-recruited seeds, to recruit an additional 600 MSM. Compared with offline-recruited seeds, online-recruited seeds were less likely to be HIV-positive (OR 0.34, 95% CI 0.13-0.88), to have attended a gay community group (AOR 0.33, 95% CI 0.12-0.90), and to feel gay community involvement was “very important” (AOR 0.16, 95% CI 0.03-0.93). Online-recruited seeds were more likely to ask a sexual partner’s HIV status always versus <50% of the time (AOR 5.21, 95% CI 1.17-23.23), to have watched the Pride parade (AOR 6.30, 95% CI 1.69-23.45), and to have sought sex online (AOR 4.29, 95% CI 1.53-12-12.05). Further, compared with recruitment chains started by offline-recruited seeds, recruits from chains started by online-recruited seeds (283/600, 47.2%) were less likely to be HIV-positive (AOR 0.25, 95% CI 0.16-0.40), to report “versatile” versus “bottom” sexual position preference (AOR 0.56, 95% CI 0.35-0.88), and to be in a relationship lasting >1 year (AOR 1.65, 95% CI 1.06-2.56). Recruits of online seeds were more likely to be out as gay for longer (eg, 11-21 vs 1-4 years, AOR 2.22, 95% CI 1.27-3.88) and have fewer Facebook friends (eg, 201-500 vs >500, AOR 1.69, 95% CI 1.02-2.80).
Online-recruited seeds were more prevalent, recruited fewer participants, but were different from those recruited offline. This may therefore help create a more diverse overall sample. Our work has shown the value of geosocial networking apps for aiding RDS recruitment efforts, especially when faced with slow participation uptake by other means. Understanding the degree to which networks interact will be an important next step in confirming the efficacy of online RDS recruitment strategies.
Respondent driven sampling (RDS), a form of peer referral-based sampling, has become a popular strategy to recruit “hidden” or “marginalized populations” [
While many researchers have pointed to the issues around the statistical accuracy and precision of estimates generated from this sampling methodology [
The Internet and the rise of online communities of gay and bisexual men remains an underutilized tool for population health researchers. In only a few decades, there has been a rapid uptake of the Internet among gay and bisexual men to facilitate new connections [
Prior formative research related to implementing RDS identified the importance of having diverse seeds to generate a sample with a greater ability to penetrate harder-to-reach subgroups of the population [
The Momentum Health Study is a longitudinal cohort of gay, bisexual, and other men who have sex with men in Metro Vancouver, British Columbia, Canada, recruited by RDS. The study aims to report on the effect of expanded access to antiretroviral therapy for the treatment of human immunodeficiency virus (HIV) and is the first study to use RDS in the greater Vancouver area to obtain a diverse sample of MSM. Prior to recruitment, we conducted systematic qualitative formative research to map the network structure of MSM in Vancouver and the surrounding area [
In February 2012, we began recruitment using 10 initial seeds selected from various community agency partners. Each seed was given three RDS coupons (electronic or laminated card or combination). Initial seeds were instructed to distribute RDS vouchers to other MSM in their social or sexual networks who could then redeem the card to participate in the study. Like many previous studies, we initially distributed three RDS coupons to each participant, but after encountering substantially slow recruitment rates in the first 6 months, we increased the number of RDS coupons from three to six. However, we observed no significant difference in rate of recruitment. Since seeds can be purposively selected [
A CAN $50 honorarium or equivalent entries into a draw for electronics or travel gift cards (CAN $10/entry) was provided to participants who completed the study protocol. A CAN $10 honorarium was provided for each additional recruit who successfully completed the study protocol (to a maximum of 6 recruits/CAN $60).
In comparing the characteristics and recruitment efficacy of online-recruited seeds with other seeds, we classified each seed as either “online” if they were recruited through the sociosexual networking app advertisement, or as “offline” if they were selected as part of the initial study protocol. Among all study seeds, we compared “online” with “offline” seeds. We also compared the subsequent recruitment chains of “online” with “offline” seeds to compare the sample derived from online versus offline seeds.
We investigated a number of sociodemographic, community, and sexual behavioral factors thought to be associated with recruitment RDS dynamics. Sociodemographic variables included age (continuous in years), sexual identity (gay vs all other identity options collapsed: bisexual, queer, questioning, straight, etc), race/ethnicity (white vs all other identity options collapsed: Asian, Aboriginal, Latino, Black, other), birthplace (Canada vs any other country), formal educational attainment (any post-secondary education versus none), current student (or not), currently employed (or not), and annual income (<CAN $30,000 vs ≥$30,000). Living in a house, apartment, or student residence were collapsed together and considered being stably housed versus those who reported being homeless or in temporary housing. HIV status was determined using a point-of-care rapid HIV test administered at the time of the study visit (HIV-positive vs HIV-negative).
Community factors included questions about the gender of those they socialize most with (mostly or only men vs mostly or only women), how many years they consider themselves to have been “out” categorized into quartiles for those who were gay-identified (1-4, 5-10, 11-21, >21, or bisexual-identified, or not out), participation on a gay sports team in the past 6 month (yes vs no), having attended a group or club for gay men in the past 6 months (yes vs no), having attended the Pride parade in the past year (as a volunteer or in the parade vs as a spectator vs not at all), and having used a smartphone/mobile app to seek sex with another man in the past 6 months (yes vs no). Participants were asked to indicate “how important is it to be connected to and involved in the gay community” on a 4-point ordinal scale (not at all, not very or somewhat important, very important). Finally, participants were asked to indicate how many Facebook friends they had on a continuous measure, which was used as a proxy for (online) social network (0-30, 31-200, 201-500, >500).
Sexual behavioral factors included any sex with any females in the past 2 years (yes vs no), male anal sex position preference (bottom, versatile, top, or prefer no anal), marital or common law status as indicated by living together for at least 1 year (not married or common law, married or common law, no regular partner), number of male anal sex partners in the past 6 months measured continuously but categorized into quartiles (0-1, 2-3, 4-7, >7), if they had received any income for sex in the past 6 months (or not), how often they ask their partner’s HIV status (less than half the time, more than half the time, or always), whether they had ever been tested for HIV (or not), and whether they have engaged in any “risk sex” defined as any condomless anal intercourse with a partner of opposite or unknown HIV status in the past 6 months.
For all analyses, including the descriptive statistics, RDS-weighted adjustments were generated using RDSAT version 7.1.46, taking into account the network size and homophily. The RDS-derived weights were then imported into SAS (version 9.3) for inclusion in the bivariate and multivariable logistic regression analyses. Two final multivariable logistic regression models were built using backward selection criteria that minimized the Aikaike Information Criterion. The first model compared differences between online-recruited and offline-recruited seeds. The second model compared differences between the samples recruited from online-recruited seeds and offline-recruited seeds. All tests were two-sided and performed with alpha set at the .05 significance level.
Ethical approval for this study was been granted by the research ethics boards of Simon Fraser University, University of British Columbia Providence Healthcare Research Institute, and the University of Victoria.
A total of 119 seeds were used; 85 were recruited online (71.4%). These 119 seeds recruited a subsequent 600 participants for a total sample size of 719 MSM. Most of these seeds cited the following reasons for wanting to participate: help the community (40/119, 33.6%), had an interest in sexual health and HIV (35/119, 29.4%), and interested in gay men’s issues (23/119, 19.3%). Online-recruited seeds had significantly smaller networks than other seeds (median 10 vs 15,
Descriptive statistics of and bivariate associations with being an online-recruited seed compared with in-person-recruited seed.
|
Offline seeds |
Online seeds |
OR | 95% CI | ||||
n | % (of row) | n | % (of row) | |||||
|
||||||||
|
Age: mean (Q1,Q3) | 28.5 | (24,38) | 31 | (25,45) | 1.020 | 0.985-1.056 | |
|
|
|||||||
|
|
Yes | 31 | 28.2 | 79 | 71.8 | Ref |
|
|
|
No | 3 | 33.3 | 6 | 66.7 | 0.785 | 0.185-3.335 |
|
|
|||||||
|
|
Yes | 28 | 82.4 | 63 | 69.2 | Ref |
|
|
|
No | 6 | 17.7 | 22 | 78.6 | 1.629 | 0.595-4.457 |
|
|
|||||||
|
|
Yes | 28 | 32.2 | 59 | 67.8 | Ref |
|
|
|
No | 6 | 18.8 | 26 | 81.3 | 2.056 | 0.760-5.563 |
|
|
|||||||
|
|
High school or less | 4 | 23.5 | 13 | 76.5 | Ref |
|
|
|
Any post-secondary training | 30 | 30.0 | 70 | 70.0 | 0.718 | 0.216-2.383 |
|
|
|||||||
|
|
No | 25 | 29.4 | 60 | 70.6 | Ref |
|
|
|
Yes | 9 | 26.5 | 25 | 73.5 | 1.157 | 0.474-2.828 |
|
|
|||||||
|
|
<$30,000 | 21 | 30.4 | 48 | 69.6 | Ref |
|
|
|
≥$30,000 | 13 | 26.0 | 37 | 74.0 | 1.245 | 0.552-2.810 |
|
|
|||||||
|
|
No | 10 | 33.3 | 20 | 66.7 | Ref |
|
|
|
Yes | 24 | 27.0 | 65 | 73.0 | 1.354 | 0.555-3.304 |
|
|
|||||||
|
|
Yes | 33 | 29.5 | 79 | 70.5 | Ref |
|
|
|
No | 1 | 14.3 | 6 | 85.7 | 2.506 | 0.290-21.637 |
|
|
|||||||
|
|
Negative | 23 | 24.0 | 73 | 76.0 | Ref |
|
|
|
Positive | 11 | 47.8 | 12 | 52.2 | 0.344a | 0.134-0.882 |
|
||||||||
|
|
|||||||
|
|
Yes | 21 | 32.3 | 44 | 67.7 | Ref |
|
|
|
No | 13 | 24.1 | 41 | 75.9 | 1.505 | 0.668-3.390 |
|
|
|||||||
|
|
No | 25 | 25.0 | 75 | 75.0 | Ref |
|
|
|
Yes | 9 | 47.4 | 10 | 52.6 | 0.370 | 0.135-1.015 |
|
|
|||||||
|
|
No | 13 | 18.1 | 59 | 81.9 | Ref |
|
|
|
Yes | 21 | 44.7 | 26 | 55.3 | 0.273a | 0.119-0.627 |
|
|
|||||||
|
|
No | 12 | 34.3 | 23 | 65.7 | Ref |
|
|
|
Yes, spectator | 9 | 15.5 | 49 | 84.5 | 2.841a | 1.049-7.692 |
|
|
Yes, in or volunteer | 13 | 50.0 | 13 | 50.0 | 0.522 | 0.185-1.474 |
|
|
|||||||
|
|
No | 19 | 45.2 | 23 | 54.8 | Ref |
|
|
|
Yes | 15 | 19.5 | 62 | 80.5 | 3.414a | 1.490-7.823 |
|
|
|||||||
|
|
Not important | 2 | 8.0 | 23 | 92.0 | Ref |
|
|
|
Somehow important | 14 | 26.4 | 39 | 73.6 | 0.242 | 0.050-1.163 |
|
|
Very important | 18 | 43.9 | 23 | 56.1 | 0.111a | 0.023-0.535 |
|
|
|||||||
|
|
>500 | 14 | 40.0 | 21 | 60.0 | Ref |
|
|
|
201-500 | 10 | 29.4 | 24 | 70.6 | 1.600 | 0.588-4.353 |
|
|
31-200 | 5 | 16.1 | 26 | 83.9 | 3.467a | 1.074-11.191 |
|
|
0-30 | 5 | 26.3 | 14 | 73.7 | 1.867 | 0.548-6.353 |
|
||||||||
|
|
|||||||
|
|
No | 32 | 28.6 | 80 | 71.4 | Ref |
|
|
|
Yes | 2 | 28.6 | 5 | 71.4 | 1.000 | 0.184-5.421 |
|
|
|||||||
|
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Bottom | 13 | 32.5 | 27 | 67.5 | Ref |
|
|
|
Versatile | 8 | 29.6 | 19 | 70.4 | 1.144 | 0.397-3.295 |
|
|
Top | 12 | 25.0 | 36 | 75.0 | 1.444 | 0.570-3.660 |
|
|
No anal | 1 | 25.0 | 3 | 75.0 | 1.444 | 0.137-15.266 |
|
|
|||||||
|
|
No | 8 | 42.1 | 11 | 57.9 | Ref |
|
|
|
Common Law/Married | 6 | 30.0 | 14 | 70.0 | 1.697 | 0.453-6.358 |
|
|
No regular partner | 20 | 25.0 | 60 | 75.0 | 2.182 | 0.770-6.186 |
|
|
|||||||
|
|
0-1 | 11 | 35.5 | 20 | 64.5 | Ref |
|
|
|
2-3 | 9 | 32.1 | 19 | 67.9 | 1.161 | 0.394-3.425 |
|
|
4-7 | 6 | 20.0 | 24 | 80.0 | 2.200 | 0.691-7.006 |
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>7 | 8 | 26.7 | 22 | 73.3 | 1.513 | 0.507-4.515 |
|
|
|||||||
|
|
No | 32 | 28.3 | 81 | 71.7 | Ref |
|
|
|
Yes | 2 | 33.3 | 4 | 66.7 | 0.790 | 0.138-4.529 |
|
|
|||||||
|
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<50% of time | 16 | 34.8 | 30 | 65.2 | Ref |
|
|
|
>50% of time | 14 | 31.1 | 31 | 68.9 | 1.181 | 0.492-2.834 |
|
|
100% of time | 4 | 14.3 | 24 | 85.7 | 3.200 | 0.945-10.839 |
|
|
|||||||
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No | 2 | 40.0 | 3 | 60.0 | Ref |
|
|
|
Yes | 32 | 28.1 | 82 | 71.9 | 1.709 | 0.273-10.707 |
|
|
|||||||
|
|
No | 22 | 26.5 | 61 | 73.5 | Ref |
|
|
|
Yes | 12 | 34.3 | 23 | 65.7 | 0.691 | 0.295-1.619 |
aIndicates statistical significance at
bAny condomless anal intercourse with a partner of opposite or unknown HIV status.
Although online-recruited seeds comprised 71.4% of all seeds, their subsequent recruitment chains generated only 47.2% of the remaining sample (283/600).
Multivariable analyses of factors associated with being an online-recruited seed compared with in-person-recruited seed.
|
AOR | 95% CI | |
|
|||
|
No | Ref |
|
|
Yes | 0.331a | 0.122-0.900 |
|
|||
|
No | Ref |
|
|
Yes, spectator | 6.303a | 1.694-23.454 |
|
Yes, in or volunteer | 1.192 | 0.325-4.369 |
|
|||
|
No | Ref |
|
|
Yes | 4.293a | 1.530-12.048 |
|
|||
|
Not important | Ref |
|
|
Somehow important | 0.380 | 0.072-2.016 |
|
Very important | 0.163a | 0.029-0.929 |
|
|||
|
<50% of time | Ref |
|
|
>50% of time | 1.032 | 0.343-3.104 |
|
100% of time | 5.211a | 1.169-23.232 |
aIndicates statistical significance at
Descriptive statistics of and bivariate associations with being recruited in a chain started from an online seed compared with a recruitment chain started with an in-person-recruited seed.
|
Offline seed’s recruitment chain |
Online seed’s recruitment chain (n=283) | OR | 95% CI | ||||
n | % (of row) | n | % (of row) | |||||
|
||||||||
|
Age: mean (Q1,Q3) | 40 | (28,49) | 31 | (25,41) | 0.962a | 0.949-0.976 | |
|
|
|||||||
|
|
Yes | 265 | 52.8 | 237 | 47.2 | Ref |
|
|
|
No | 52 | 53.1 | 46 | 46.9 | 0.989 | 0.641-1.526 |
|
|
|||||||
|
|
Yes | 240 | 53.6 | 208 | 46.4 | Ref |
|
|
|
No | 77 | 50.7 | 75 | 49.3 | 1.124 | 0.778-1.624 |
|
|
|||||||
|
|
Yes | 258 | 54.9 | 212 | 45.1 | Ref |
|
|
|
No | 59 | 45.4 | 71 | 54.6 | 1.465 | 0.991-2.163 |
|
|
|||||||
|
|
High school or less | 88 | 58.3 | 63 | 41.7 | Ref |
|
|
|
Any post-secondary training | 224 | 51.3 | 213 | 48.7 | 1.328 | 0.914-1.930 |
|
|
|||||||
|
|
No | 268 | 55.5 | 215 | 44.5 | Ref |
|
|
|
Yes | 49 | 42.2 | 67 | 57.8 | 1.704a | 1.131-2.568 |
|
|
|||||||
|
|
<30,000 | 216 | 55.7 | 172 | 44.3 | Ref |
|
|
|
≥$30,000 | 101 | 47.6 | 111 | 52.4 | 1.380 | 0.986-1.931 |
|
|
|||||||
|
|
No | 144 | 61.5 | 90 | 38.5 | Ref |
|
|
|
Yes | 173 | 47.3 | 193 | 52.7 | 1.785a | 1.278-2.492 |
|
|
|||||||
|
|
Yes | 262 | 51.5 | 247 | 48.5 | Ref |
|
|
|
No | 55 | 60.4 | 36 | 39.6 | 0.694 | 0.441-1.094 |
|
|
|||||||
|
|
Negative | 182 | 42.9 | 242 | 57.1 | Ref |
|
|
|
Positive | 135 | 76.7 | 41 | 23.3 | 0.228a | 0.153-0.340 |
|
||||||||
|
|
|||||||
|
|
Yes | 187 | 55.5 | 150 | 44.5 | Ref |
|
|
|
No | 130 | 49.4 | 133 | 50.6 | 1.275 | 0.923-1.762 |
|
|
|||||||
|
|
1-4 | 52 | 52.0 | 48 | 48.0 | Ref |
|
|
|
5-10 | 56 | 45.5 | 67 | 54.5 | 1.296 | 0.764-2.200 |
|
|
11-21 | 61 | 40.7 | 89 | 59.3 | 1.581 | 0.949-2.632 |
|
|
>21 | 107 | 71.8 | 42 | 28.2 | 0.425a | 0.250-0.723 |
|
|
Bisexual | 35 | 55.6 | 28 | 44.4 | 0.867 | 0.460-1.632 |
|
|
Not out | 6 | 40.0 | 9 | 60.0 | 1.625 | 0.538-4.906 |
|
|
|||||||
|
|
No | 287 | 53.4 | 250 | 46.6 | Ref |
|
|
|
Yes | 30 | 47.6 | 33 | 52.4 | 1.263 | 0.749-2.131 |
|
|
|||||||
|
|
No | 193 | 52.7 | 173 | 47.3 | Ref |
|
|
|
Yes | 124 | 53.0 | 110 | 47.0 | 0.990 | 0.712-1.375 |
|
|
|||||||
|
|
No | 125 | 54.1 | 106 | 45.9 | Ref |
|
|
|
Yes, spectator | 159 | 54.1 | 135 | 45.9 | 1.001 | 0.709-1.415 |
|
|
Yes, in or volunteer | 33 | 44.0 | 42 | 56.0 | 1.501 | 0.888-2.535 |
|
|
|||||||
|
|
No | 177 | 59.6 | 120 | 40.4 | Ref |
|
|
|
Yes | 140 | 46.2 | 163 | 53.8 | 1.717a | 1.243-2.374 |
|
|
|||||||
|
|
Not important | 62 | 45.3 | 75 | 54.7 | Ref |
|
|
|
Somehow important | 168 | 54.7 | 139 | 45.3 | 0.684 | 0.456-1.025 |
|
|
Very important | 87 | 55.8 | 69 | 44.2 | 0.656 | 0.413-1.040 |
|
|
|||||||
|
|
>500 | 77 | 51.3 | 73 | 48.7 | Ref |
|
|
|
201-500 | 53 | 40.2 | 79 | 59.8 | 1.572 | 0.980-2.523 |
|
|
31-200 | 73 | 49.0 | 76 | 51.0 | 1.098 | 0.698-1.728 |
|
|
0-30 | 114 | 67.5 | 55 | 32.5 | 0.509a | 0.323-0.801 |
|
||||||||
|
|
|||||||
|
|
No | 266 | 52.7 | 239 | 47.3 | Ref |
|
|
|
Yes | 51 | 53.7 | 44 | 46.3 | 0.960 | 0.619-1.490 |
|
|
|||||||
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Bottom | 96 | 47.8 | 105 | 52.2 | Ref |
|
|
|
Versatile | 98 | 59.0 | 68 | 41.0 | 0.634a | 0.419-0.961 |
|
|
Top | 107 | 52.2 | 98 | 47.8 | 0.837 | 0.567-1.236 |
|
|
No anal | 16 | 57.1 | 12 | 42.9 | 0.686 | 0.309-1.523 |
|
|
|||||||
|
|
No | 56 | 43.4 | 73 | 56.6 | Ref |
|
|
|
Common law/Married | 54 | 51.4 | 51 | 48.6 | 0.725 | 0.432-1.215 |
|
|
No regular partner | 207 | 56.6 | 159 | 43.4 | 0.589a | 0.393-0.883 |
|
|
|||||||
|
|
0-1 | 90 | 54.5 | 75 | 45.5 | Ref |
|
|
|
2-3 | 71 | 46.1 | 83 | 53.9 | 1.403 | 0.903-2.180 |
|
|
4-7 | 68 | 50.7 | 66 | 49.3 | 1.165 | 0.738-1.839 |
|
|
>7 | 87 | 59.6 | 59 | 40.4 | 0.814 | 0.519-1.277 |
|
|
|||||||
|
|
No | 296 | 52.9 | 264 | 47.1 | Ref |
|
|
|
Yes | 21 | 52.5 | 19 | 47.5 | 1.014 | 0.534-1.928 |
|
|
|||||||
|
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<50% of time | 137 | 51.9 | 127 | 48.1 | Ref |
|
|
|
>50% of time | 98 | 49.0 | 102 | 51.0 | 1.123 | 0.777-1.622 |
|
|
100% of time | 82 | 60.3 | 54 | 39.7 | 0.710 | 0.467-1.081 |
|
|
|||||||
|
|
No | 13 | 38.2 | 21 | 61.8 | Ref |
|
|
|
Yes | 304 | 53.7 | 262 | 46.3 | 0.534 | 0.262-1.086 |
|
|
|||||||
|
|
No | 180 | 50.3 | 178 | 49.7 | Ref |
|
|
|
Yes | 129 | 56.8 | 98 | 43.2 | 0.768 | 0.550-1.073 |
aIndicates statistical significance at
bAny condomless anal intercourse with a partner of opposite or unknown HIV status.
These aforementioned associations show that participants recruited from an online-recruited seeds’ chains were less likely to be older (OR 0.96, 95% CI 0.95-0.98), HIV-positive (OR 0.23, 95% CI 0.15-0.34), be versatile than a bottom with regards to sexual position preferences (OR 0.63, 95% CI 0.42-0.96), be in a relationship lasting more than 1 year versus being single (OR 0.59, 95% CI 0.39-0.88), to have between 0 and 30 Facebook friends compared with having more than 500 Facebook friends (OR 0.51, 95% CI 0.32-0.80), been “out” for over 22 years compared with between 1 and 4 years (OR 0.43, 95% CI 0.25-0.72), but were more likely to be currently employed (OR 1.79, 95% CI 1.28-2.49), be a current student (OR 1.70; 95% CI 1.13-2.57), and use apps to seek sex in the past 6 months (OR 1.72, 95% CI 1.24-2.37).
Multivariable analyses of factors associated with being recruited in a chain started from an online seed compared with a recruitment chain started with an in-person-recruited seed.
|
AOR | 95% CI | |
|
|||
|
Negative | Ref |
|
|
Positive | 0.250a | 0.158-0.396 |
|
|||
|
1-4 | Ref |
|
|
5-10 | 1.300 | 0.749-2.256 |
|
11-21 | 2.215a | 1.266-3.877 |
|
22 | 0.929 | 0.500-1.724 |
|
Bisexual-identified | 1.492 | 0.738-3.015 |
|
Not out | 2.182 | 0.662-7.192 |
|
|||
|
>500 | Ref |
|
|
201-500 | 1.689a | 1.020-2.796 |
|
31-200 | 1.430 | 0.864-2.367 |
|
0-30 | 0.910 | 0.536-1.544 |
|
|||
|
Bottom | Ref |
|
|
Versatile | 0.556a | 0.352-0.877 |
|
Top | 0.708 | 0.459-1.091 |
|
No anal | 0.552 | 0.226-1.346 |
|
|||
|
No | Ref |
|
|
Common law/Married | 0.711 | 0.401-1.259 |
|
No regular partner | 0.605a | 0.390-0.939 |
aIndicates statistical significance at
In this RDS study of MSM in Vancouver, a total of 119 seeds were used to recruit a subsequent 600 participants. Nearly three-quarters of the seeds used were recruited online, which was meant to address limitations of slow recruitment rates [
Online-recruited seeds and their subsequent recruits were more likely to be HIV-negative, to use apps to seek sex with other men, and to report fewer Facebook friends, a proxy for (online) social network size. We also found that men recruited online were more likely to inquire about a sex partner’s HIV status before sex. This suggests that men who participate in online sex seeking may have better communication opportunities to inform and/or interest to adopt more seroadaptive behaviors (ie, sex that uses knowledge of HIV status to inform practices that reduce the risk of HIV transmission) into their sexual practices [
Importantly for the consideration of implementing RDS among urban gay and bisexual men, we found that neither online-recruited seeds nor their recruits were significantly different than the comparator with respect to demographic factors. This is in contrast to previous RDS work that also implemented online or innovative recruitment protocols. Previous studies using RDS recruitment combined with online or self-selected innovations found significant differences with regards to ethnicity, economic status, and education [
The novel use of a sociosexual mobile app to recruit seeds for RDS allowed us to reach a wider non–location-based audience of the target population interested in participating in a sexual health research study. However, it is important to note that these findings do not compare the characteristics of MSM who self-selected into the study and those who saw our mobile app advertisement but did not respond. Therefore, we cannot be certain whether there are differences among the general online and offline populations and how these differences potentially introduce self-selection biases into our recruitment efforts. RDS employs peer recruitment that requires participants to know someone else’s eligibility status for the study and to disclose their own sexual minority behavior, which also limits generalizability. Our results may also be limited by the fact that online seeds were recruited through an app used for sex seeking, while offline seeds were recruited through community partners whose mission and purpose go far beyond sex seeking. Therefore, it is difficult to assess what differences are attributable to the nature of the recruitment site versus the actual medium of recruitment.
In conclusion, our work has shown the value of geosocial networking apps for aiding RDS recruitment efforts, especially when faced with slow participation uptake by other means. Understanding the degree to which networks interact will be an important next step in confirming the efficacy of online RDS recruitment strategies. Our findings highlighted some differences between online and offline seeds, indicating that, in the current sociosexual milieu, using both online- and traditionally recruited seeds may provide the most diverse sample of MSM in urban areas.
human immunodeficiency virus
men who have sex with men
respondent-driven sampling
The authors would like to thank the Momentum Study participants, office staff and community advisory board, as well as our community partner agencies, Health Initiative for Men, YouthCo HIV and Hep C Society, and Positive Living Society of BC. Momentum is funded through the National Institute on Drug Abuse (R01DA031055-01A1) and the Canadian Institutes for Health Research (MOP-107544). NJL is supported by a CANFAR/CTN Postdoctoral Fellowship Award. DMM is supported by a Scholar Award from the Michael Smith Foundation for Health Research (#5209).
None declared.