Abstract
Objectives:
We sought to determine willingness of gay and bisexual men (GBM) to give HIV self-testing (HIVST) kits with patient-delivered partner therapy (PDPT) and engage in geosocial sexual networking (GSN) app-based partner notification.
Methods:
A nationwide sample of GBM who self-tested HIV-negative (n=786) were asked about their willingness to give recent sex partners (main and casual) PDPT with an HIVST kit (PDPT+HIVST) after hypothetical bacterial sexually transmitted infection (BSTI) diagnosis. Men were also asked about their willingness to notify sexual partners met on GSN apps using an anonymous app function after BSTI diagnosis. We examined associations of relationship status and condomless anal sex with casual partners, recent BSTI diagnosis, and perceived risk of HIV on PDPT+HIVST and anonymous app-based partner notification willingness (dichotomized) using binary logistic regressions, adjusting for age, race/ethnicity, education, and US region. From the partner’s perspective after receiving an app-based referral, frequency measures were used to report intentions for obtaining subsequent HIV/BSTI counseling and testing, engaging in HIVST if provided a free voucher, and obtaining BSTI treatment from a pharmacy with prescription voucher.
Results:
Most (90.1%) were willing to give PDPT+HIVST to recent sex partners after STI diagnosis, and nearly all (96.4%) were willing to notify sex partners met online using an anonymous function within GSN apps. Regardless of casual partner condomless anal sex engagement, partnered GBM had higher odds of reporting willingness to give PDPT+HIVST compared to single men who recently engaged in condomless anal sex with a casual partner. If anonymously notified via an app, 92.5% reported they would likely obtain counseling and testing, 92.8% would engage in HIVST if provided a free voucher, and 93.4% would obtain treatment from a pharmacy with prescription voucher.
Conclusions:
GBM generally found novel partner notification, testing, and treatment strategies acceptable, indicating the need for feasibility and cost-effectiveness evaluations.
Keywords: sexually transmitted infections, partner notification, patient-delivered partner therapy, geosocial sexual networking, expedited partner therapy, men who have sex with men
INTRODUCTION
Incidence rates of HIV and bacterial sexually transmitted infections (BSTIs) are disproportionately higher among gay, bisexual, and other men who have sex with men (GBM) compared to men who have sex with women only.1,2 Patient-delivered partner therapy (PDPT) is a practice wherein patients diagnosed with a BSTI are provided medication-in-hand to give directly to their partner.3 Compared to simple partner referral practices, PDPT increased the number of partners notified and treated, reduced repeat infections, and lowered community prevalence.3,4 However, concerns about PDPT have centered around missed opportunities for HIV testing,5 which could be alleviated by including rapid HIV self-testing (HIVST) kits with PDPT.6 Combining PDPT with HIVST kits for GBM could allow PDPT to be used in the way it was intended—a supplemental approach for treatment when a partner is unlikely to obtain subsequent clinic-based testing and treatment.
An estimated 64% of GBM reported using geosocial networking apps (GSN) to meet sexual partners in 2011.7 App-based sexual networking creates new challenges for BSTI and HIV prevention because of a changing risk landscape. A meta-analysis of GSN app use among GBM found app use associated with two-fold higher odds of having a BSTI compared to non-app using GBM,8 suggesting higher network-level prevalence of BSTIs in this population. Many apps were designed to support communication between GBM—even beyond sexual networking9—and are now used for other types of disclosure (e.g., HIV-status, undetectable viral load, and PrEP use).10 Nonetheless, no known research has studied how responsive GBM would be to using anonymous GSN app-based partner referral strategies.
In this paper, our primary research objectives were to: (1) determine willingness of GBM to give HIVST kits with PDPT to sexual partners after hypothetical BSTI diagnosis, and (2) determine willingness of GBM to notify sexual partners met on apps using a built-in anonymous app function after hypothetical BSTI diagnosis. We were also interested in measuring how responsive GBM would be to an anonymous app-based BSTI exposure referral. As such, we sought to determine engagement in the following behaviors after receiving an app-based referral: (1) obtaining subsequent HIV/BSTI counseling and testing, (2) engaging in HIVST if provided a free voucher, and (3) obtaining BSTI treatment from a pharmacy with prescription voucher.
METHODS
Data for this analysis were collected as part of the One Thousand Strong study, a nationwide cohort of GBM who tested HIV-negative at baseline.11 Briefly, 1,071 HIV-negative GBM—confirmed at baseline by digital photo of the OraQuick In-Home HIV Test—were recruited to reflect census data on same-sex households in the United States (US) based on age, race/ethnicity, and US geography in 2014 using Community Marketing and Insights, a marketing firm with a panel of over 22,000 GBM throughout the US. An additional sample of 133 non-White GBM (of n = 222 screened eligible) were added to the cohort using the same recruitment strategy between November 2016 and February 2017 to increase the sample diversity of non-White participants. Data for this analysis were collected as part of an optional survey of all participants in 2017. Study procedures were approved by the Institutional Review Board (IRB) of the City University of New York (IRB protocol number 354377-3).
Of the 1,204 GBM enrolled in the cohort, 825 completed the mid-2017 optional survey. Thirty-eight men were excluded because of a technological error that resulted in partial survey completion. One additional participant was excluded because he self-reported an HIV-positive test result since the last assessment wave. This resulted in a final analytic sample of 786 HIV-negative GBM. Compared to those who did not take the optional survey or were excluded, GBM in the analytic sample were older (OR age = 1.02, p < 0.001), more likely to be White (χ2race/ethnicity = 8.69, p = 0.03), and more likely to have higher educational attainment (χ2education = 11.17, p < 0.01). No missing data were present in our analytic sample.
Measures
Demographics.
Participants self-report demographic characteristics including age, race/ethnicity, highest educational attainment, and geographical region coded from their postal ZIP code.
Sexual behavior characteristics, recent BSTIs, and perceived risk of HIV.
We asked individuals to report their current relationship status and engagement in condomless anal sex (CAS) with casual sex partners in the past six months, which we coded into a four-category variable based on single/partnered and engagement in any CAS with casual sex partners (yes/no). Men were also asked to report recent (past six months) BSTI diagnoses of chlamydia, gonorrhea, and syphilis, which was dichotomized (yes/no) into any BSTI diagnoses in the past six months. Perceived risk of HIV was assessed using a single item: “What is your gut feeling about how likely you are to get infected with HIV?”12 Five-point response categories ranged 1 – extremely unlikely to 5 – extremely likely.
Partner notification and treatment strategies.
Willingness to use PDPT+HIVST was assessed using the following: “Imagine you were diagnosed with chlamydia or gonorrhea today. How willing would you be to give recent sex partners (last 3 months) medications for treatment AND an at-home, rapid HIV test kit (assuming your healthcare provider gave them to you for free)?” Five-point response categories ranged 1 – not at all willing to 5 – extremely willing; all individuals who expressed some level of willingness (i.e., ≥ 2 – slightly willing) were coded as willing because of the right-skewed response distribution (M = 3.87, SD = 1.34, skewness = −0.94, kurtosis = 2.63). Willingness to notify sex partners via anonymous app function was assessed using the following: “Imagine you’ve met sexual partners on a phone app (e.g., Grindr, Scruff, Tindr, Growlr) and you were diagnosed with an STI today. How willing would you be to notify recent sex partners (last 3 months) met on this app so that they could go get testing and treatment using an anonymous function built into the app?” Similarly, response categories ranged not at all willing to extremely willing with any level of willingness coded as willing because of data distribution (M = 3.99, SD = 1.18, skewness = −0.96, kurtosis = 2.89).
Intentions after app-based partner notification.
We assessed various intentions after a hypothetical scenario wherein the participant was anonymously notified of an exposure to a BSTI (i.e., “Imagine that you were anonymously contacted through a phone app (e.g., Grindr, Scruff, Tindr, Growlr) about potential exposure to an STI.”). The three intentions measured were: 1) “How likely would you be to obtain subsequent HIV/STI counseling and testing?” 2) “If you were given a voucher through the app to obtain a free at-home, rapid HIV test kit, how likely would you be to use this method of HIV testing?” and 3) “If you were given a voucher/prescription through the app to obtain medications for treatment of a bacterial STI (e.g., gonorrhea) from a local pharmacy, how likely would you be to use this method of treatment?” Five-point response categories ranged very unlikely to very likely and individuals were coded as intending if they responded likely willing or very likely.
Statistical Analyses
Descriptive data were assessed using frequency measures. Bivariate analyses were conducted using χ2comparisons and logistic regressions for categorical and continuous independent variables, respectively. We examined associations of relationship status, any CAS with casual partners, recent BSTI diagnosis, and perceived risk of HIV on willingness to give a PDPT+HIVST kit to recent sex partners and notify sex partners via an anonymous app function using fully-adjusted binary logistic regressions.
RESULTS
Descriptive statistics of the sample and bivariate results are listed in Table 1. Most (90.1%) GBM were willing to give PDPT+HIVST to recent sex partners after hypothetical BSTI diagnosis, with 46.8% of the overall sample reporting extreme willingness. In our fully-adjusted logistic regression model, partnered men who reported recent CAS with a casual partner had 3.21 times higher odds of being willing to give PDPT+HIVST to recent sex partners compared to those who were single and reported CAS with a casual partner. Partnered men who did not report recent CAS with a causal partner similarly had higher odds (i.e., AOR = 2.41) of being willing to give PDPT+HIVST to recent sex partners compared to single men with recent casual partner CAS. Men in the Northeast, Midwest, and West had lower odds of being willing to give PDPT+HIVST to recent partners compared to GBM in the South (see Table 1).
Table 1.
Willing to give PDPT+HIVST3 kit to recent sexual partners | Willing to notify sex partners via anonymous app function | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Categorical Variables | n | Column % | Row n | Row % | χ2 | AOR | 95% CI | Row n | Row % | χ2 | AOR | 95% CI |
Race/ethnicity | 1.1 | 1.6 | ||||||||||
Black | 80 | 10.2 | 74 | 92.5 | 1.38 | 0.55-3.44 | 76 | 95.0 | 0.61 | 0.19-1.97 | ||
Latino | 121 | 15.4 | 107 | 88.4 | 0.91 | 0.47-1.76 | 115 | 95.0 | 0.67 | 0.24-1.86 | ||
White | 514 | 65.4 | 462 | 89.9 | -- | -- | 498 | 96.9 | -- | -- | ||
Other/Multiracial | 71 | 9.0 | 65 | 91.6 | 1.52 | 0.59-3.87 | 69 | 97.2 | 1.54 | 0.32-7.47 | ||
Education | 0.4 | 0.9 | ||||||||||
Less than Bachelor’s degree | 298 | 37.9 | 271 | 90.9 | -- | -- | 285 | 95.6 | -- | -- | ||
Bachelor’s degree or more | 488 | 62.1 | 437 | 89.6 | 0.81 | 0.49-1.35 | 473 | 96.9 | 1.27 | 0.58-2.76 | ||
Geographic region | 13.8** | 6.2 | ||||||||||
Northeast | 148 | 18.8 | 132 | 89.2 | 0.42* | 0.20-0.90 | 143 | 96.6 | 0.50 | 0.14-1.81 | ||
Midwest | 133 | 16.9 | 117 | 88.0 | 0.41* | 0.19-0.88 | 128 | 96.2 | 0.47 | 0.13-1.68 | ||
South1 | 284 | 36.1 | 270 | 95.1 | -- | -- | 279 | 98.2 | -- | -- | ||
West | 221 | 28.1 | 189 | 85.5 | 0.31** | 0.16-0.61 | 208 | 94.1 | 0.26* | 0.09-0.75 | ||
Relationship status and condomless anal sex (CAS) with casual partners (past 6 months) | 13.0** | 8.0* | ||||||||||
Single, no casual partner CAS | 211 | 26.8 | 182 | 86.3 | 0.99 | 0.54-1.80 | 202 | 95.7 | 1.58 | 0.63-3.96 | ||
Single, casual partner CAS | 192 | 24.4 | 166 | 86.5 | -- | -- | 180 | 93.8 | -- | -- | ||
Partnered, no casual partner CAS | 283 | 36.0 | 265 | 93.6 | 2.41* | 1.23-4.74 | 277 | 97.9 | 3.54* | 1.23-10.18 | ||
Partnered, casual partner CAS | 100 | 12.7 | 95 | 95.0 | 3.21* | 1.17-8.82 | 99 | 99.0 | 6.61 | 0.84-52.38 | ||
Recent BSTI diagnosis (past 6 months)2 | 1.2 | 0.1 | ||||||||||
No | 746 | 94.9 | 674 | 95.0 | -- | -- | 719 | 94.9 | -- | -- | ||
Yes | 40 | 5.1 | 34 | 4.8 | 0.69 | 0.26-1.85 | 39 | 5.2 | 1.88 | 0.23-15.37 | ||
Continuous Variables | M | SD | OR | SE | AOR | 95% CI | OR | SE | AOR | 95% CI | ||
Age (Range: 20-82) | 43.4 | 13.6 | 1.00 | 0.01 | 1.01 | 0.99-1.02 | 1.01 | 0.01 | 1.01 | 0.98-1.04 | ||
Perceived risk of HIV (range: 1-5) | 1.9 | 0.8 | 0.94 | 0.13 | 1.07 | 0.78-1.46 | 1.13 | 0.28 | 1.41 | 0.84-2.37 |
p < 0.05;
p < 0.01;
p < 0.001;
M = mean; SD = standard deviation; SE = standard error; OR = odds ratio; AOR = adjusted odds ratio; CI = confidence interval;
South including n=1 from Puerto Rico;
self-reported chlamydia, gonorrhea, and/or syphilis diagnosis;
PDPT+HIVST = patient-delivered partner therapy with an HIV self-testing device.
Percentages may not add up to 100 because of rounding.
Most (96.4%) GBM were also willing to engage in app-based partner referral for sex partners met online via sexual networking apps, with 66.9% of the overall sample reporting extreme willingness. In multivariable analysis, partnered men who did not report recent CAS with casual partners had 3.54 times higher odds of being willing compared to single men with recent casual partner CAS in the fully-adjusted model. Nonetheless, 93.8% of single men who reported recent casual partner CAS were willing to give PDPT+HIVST to recent partners. Willingness differed by geographical region in multivariable analysis only; GBM in the West had lower odds of being willing to give PDPT+HIVST to recent sex partners compared to men in the South (see Table 1).
We were also interested in determining how GBM would respond to being notified anonymously about a BSTI exposure through an anonymous GSN app function. If anonymously notified, 92.5% of GBM reported they would likely obtain counseling and testing, 92.8% would engage in HIVST if provided a free voucher, and 93.4% would obtain treatment from a pharmacy with prescription voucher.
DISCUSSION
Most GBM found using HIVST kits with PDPT acceptable, and nearly all GBM were willing to notify recent sex partners met through GSN apps via an anonymous app function. Although the South has the highest rates of HIV in the US,1 GBM residing in this region had the highest percentage of men willing to engage in these partner referral strategies, important for targeting intervention work to reduce disparities.
These data support prior feasibility data about using PDPT with GBM. In a pilot study, 83.1% of GBM randomized to the PDPT arm notified at least one recent sexual partner and more than half (53.5%) notified all recent partners.13 Secondary distribution of HIVST kits is also acceptable and feasible among GBM in the US,14,15 suggesting the integration of these two components is practical in real-world settings. Despite our promising findings, further study is needed to determine how including HIVST kits with PDPT affects partner testing and treatment rates compared to PDPT only and standard partner referral practices.
Our findings support prior reports indicating the acceptability of other electronic partner notification methods. The use of “Suggest a Test,” a partner notification method with electronic methods available (e.g., email), was found to be feasible in prior research.16 The anonymous function associated with Suggest a Test—in particular—was deemed valuable because 88% of partner referrals were sent anonymously.16 (and correction) GBM were also responsive to the integration of sexual health features into GSN apps,9 indicating the importance of embedding these features into existing app environments. Additional mixed-methods work is needed to support intervention development based on the difficulties in recruiting GBM in the US into a prior electronic partner referral efficacy trial;17 subsequent use of the actual partner notification system (i.e., “inSPOT”) among enrolled participants was also low in this prior study,17 demonstrating the need to tailor services to GBM for better uptake potential.
PDPT+HIVST and anonymous app function partner referral willingness findings by relationship status and casual partner CAS could be the result of differential beliefs in the importance of partner treatment, since men with main partners may be more invested in their partners’ health. Nonetheless, concerns about infidelity and potential for intimate partner violence were salient within HIV/BSTI clinic patient interviews,6 suggesting the need for added counseling components to ensure patient safety and support patients with PDPT+HIVST for use when appropriate. An anonymous app function may help notify partners, but GBM diagnosed with BSTIs could still require counseling to support them should partners confront them or they desire follow-up discussions with their partners.
Most GBM in our sample reported intentions to obtain follow-up testing and treatment through the three strategies we indicated after hypothetical app-based partner referral. One of these strategies included the provision of a prescription voucher for BSTI treatment, aligning with prescription-based PDPT. These data are supported by research among GBM assessing intentions to obtain follow-up HIV testing after PDPT provision, where researchers found 86% of GBM would seek HIV testing after BSTI treatment via PDPT.18 Nonetheless, data were limited on actual partner HIV testing rates following PDPT provision among GBM in the US and an experimental study comparing multiple forms of partner referral is needed with supporting cost-effectiveness research.
Limitations
Our study has several limitations. First, our sample includes HIV-negative GBM who previously engaged in HIVST as part of the study procedures upon enrollment. Generalizability of our findings should be limited only to GBM who recently tested HIV-negative, since acceptance rates might be higher than actual among GBM due to our sampling. Second, GBM who enrolled in the cohort but were excluded and/or did not take the optional survey were more likely to be younger, non-White, and of lower educational attainment, potentially limiting the generalizability of our findings. Third, it is unknown if hypothetical willingness and intentions will result in actual uptake. Further research is needed.
ACKNOWLEDGMENTS
The authors would like to acknowledge the contributions of the other members of the One Thousand Strong Study Team (Ana Ventuneac, Demetria Cain, Mark Pawson, Ruben Jimenez, Scott Jones, Brett Millar, Raymond Moody, and Thomas Whitfield) and other staff from the Center for HIV/AIDS Educational Studies and Training (Chris Hietikko, Andrew Cortopassi, Brian Salfas, Doug Keeler, and Carlos Ponton). We would also like to thank the staff at Community Marketing and Insights (David Paisley, Heather Torch, and Thomas Roth). Finally, we thank Jeffrey Schulden at the National Institute on Drug Abuse, the anonymous reviewers of this manuscript, and all our participants in the One Thousand Strong study.
FUNDING
The One Thousand Strong study was funded by a research grant from the National Institute on Drug Abuse (R01-DA036466; MPIs: Parsons, Grov, & Rendina). Additional funding support was provided by the National Institute on Drug Abuse (K01-DA039030, PI: Rendina) and the National Institute of Mental Health (P30-MH052776, PI: Kelly). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Funding: Funding support was provided by the National Institute on Drug Abuse (R01-DA036466, PIs: Parsons, Grov, & Rendina; K01-DA039030, PI: Rendina) and the National Institute of Mental Health (P30-MH052776, PI: Kelly).
Footnotes
Disclosure of Potential Conflicts of Interest:
Conflict of Interest: The authors declare that they have no conflict of interest.
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