Factors associated with mobile app‐based ordering of HIV self‐test kits among men who have sex with men in Atlanta, Detroit and New York City: an exploratory secondary analysis of a randomized control trial

Author:

Mancuso Noah1ORCID,Mansergh Gordon2ORCID,Stephenson Rob3ORCID,Horvath Keith J.4,Hirshfield Sabina5,Bauermeister Jose A.6,Chiasson Mary Ann7,Downing Martin J.8,Sullivan Patrick S.1ORCID

Affiliation:

1. Department of Epidemiology, Rollins School of Public Health Emory University Atlanta Georgia USA

2. Division of HIV Prevention Centers for Disease Control and Prevention Atlanta Georgia USA

3. Department of Systems, Populations and Leadership, School of Nursing and The Center for Sexuality and Health Disparities University of Michigan Ann Arbor Michigan USA

4. Department of Psychology San Diego State University San Diego California USA

5. STAR Program, Department of Medicine SUNY Downstate Health Sciences University Brooklyn New York USA

6. Department of Family and Community Health School of Nursing University of Pennsylvania Philadelphia Pennsylvania USA

7. Department of Epidemiology, Mailman School of Public Health and Division of Infectious Diseases, Department of Medicine Columbia University Irving Medical Center New York New York USA

8. Department of Psychology Lehman College, CUNY Bronx New York USA

Abstract

AbstractIntroductionThe United States Centers for Disease Control and Prevention currently recommends HIV screening at least annually among sexually active gay, bisexual and other men who have sex with men (MSM), but only half report being tested in the past year in the United States. As HIV self‐test kits are becoming more available around the United States via web and app‐based interventions, it is important to understand who is willing and able to order them. This analysis sought to better understand predictors of free HIV self‐test kit utilization among MSM in M‐cubed, an HIV prevention mobile app intervention trial in Atlanta, Detroit and New York City.MethodsWe conducted an exploratory secondary analysis of self‐report and in‐app data collected from the intervention arm of the M‐Cubed study from 24 January 2018 to 31 October 2019. Behavioural, demographic and other potential predictors of HIV self‐test ordering were identified from Social Cognitive Theoretical underpinnings of the app, and from the literature. Significant predictor variables in bivariate analyses were considered for inclusion in the empiric multivariable model. Demographic variables chosen a priori were then added to a final model estimating adjusted prevalence ratios (aPR).ResultsOver half of the 417 intervention participants ordered an HIV self‐test kit during the study. In bivariate analyses, ordering a kit was associated with HIV testing history, plans to get tested and reported likelihood of getting tested. In the final model, participants were more likely to order a kit if they reported plans to get tested in the next 3 months (aPR = 1.58, 95% CI: 1.18–2.11) or had not tested for HIV in the past 3 months (aPR = 1.38, 95% CI: 1.13–1.70). There was no difference in HIV self‐test kit ordering by income, race/ethnicity or age.ConclusionsHIV testing is an important tool in ending the HIV epidemic and must be accessible and frequent for key populations. This study demonstrates the effectiveness of HIV self‐test kits in reaching populations with suboptimal testing rates and shows that self‐testing may supplement community‐based and clinical testing while helping overcome some of the structural barriers that limit access to annual HIV prevention services for MSM.

Publisher

Wiley

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health

Reference60 articles.

1. Centers for Disease Control and Prevention. HIV in the United States and dependent areas at a glance [Internet]. 2022 Mar [cited 2022 Apr 18]. Report No.: 22.https://www.cdc.gov/hiv/statistics/overview/ataglance.html

2. US Department of Health and Human Services. What is ‘Ending the HIV Epidemic: A Plan for America’? [Internet]. 2019 [cited 2020 Nov 12].https://www.hiv.gov/federal‐response/ending‐the‐hiv‐epidemic/overview

3. Epidemiology of HIV in the USA: epidemic burden, inequities, contexts, and responses

4. Advancing Digital Health Equity: A Policy Paper of the Infectious Diseases Society of America and the HIV Medicine Association

5. Recommendations for HIV Screening of Gay, Bisexual, and Other Men Who Have Sex with Men — United States, 2017

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