Darren L Whitfield1, LaRon E Nelson2,3, Arnošt Komárek4, DeAnne Turner5, Zhao Ni6, Donte T Boyd7, Tamara Taggart8,9, S Raquel Ramos2, Leo Wilton10,11, Geetha G Beauchamp12, Lisa Hightow-Weidman13, Steven J Shoptaw14, Manya Magnus15, Kenneth H Mayer16, Sheldon D Fields17, Darrell P Wheeler18. 1. School of Social Work, University of Maryland Baltimore, Baltimore, PA, USA. darren.whitfield@ssw.umaryland.edu. 2. School of Nursing, Yale University, New Haven, CT, USA. 3. MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto-St. Michael's Hospital, Toronto, ON, Canada. 4. Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic. 5. College of Nursing, University of South Florida, Tampa, FL, USA. 6. School of Medicine, Yale University, New Haven, CT, USA. 7. College of Social Work, The Ohio State University, Columbus, OH, USA. 8. Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington District of Columbia, USA. 9. Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT, USA. 10. Department of Human Development, State University of New York at Binghamton, Binghamton, NY, USA. 11. Faculty of Humanities, University of Johannesburg, Johannesburg, South Africa. 12. Statistical Center for HIV/AIDS Research & Prevention, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. 13. Division of Infectious Diseases, School of Medicine, University of North Carolina Chapel Hill, Chapel Hill, NC, USA. 14. Division of Family Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA. 15. Department of Epidemiology, Milken Institute School of Public Health, George Washington University, Washington District of Columbia, USA. 16. The Fenway Institute, Fenway Health, Boston, MA, USA. 17. Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, PA, USA. 18. Iona College, New Rochelle, NY, USA.
Abstract
BACKGROUND: Black men who have sex with men (MSM) experience disproportionate rates of HIV infection in the USA, despite being no more likely to engage in sexual risk behaviors than other MSM racial/ethnic groups. HIV pre-exposure prophylaxis (PrEP) has been shown to reduce risk of HIV acquisition; however, rates of PrEP use among Black MSM remain low. Clinical, psychosocial, and structural factors have been shown to impact PrEP use and adherence among Black MSM. Care coordination of HIV prevention services has the potential to improve PrEP use and adherence for Black MSM, as it has been shown to improve HIV-related care outcomes among people living with HIV. METHODS: Client-centered care coordination (C4) is a multi-level intervention designed to address clinical, psychosocial, and structural barriers to HIV prevention services for Black MSM within HPTN 073, a PrEP demonstration project among Black MSM in three cities in the USA. The current study examined the implementation process of C4, specifically investigating the activities, cost, time, and outcomes associated with the C4 intervention. RESULTS: On average, participants engaged in five care coordination encounters. The vast majority of care coordination activities were conducted by counselors, averaging 30 min per encounter. The cost of care coordination was relatively low with a mean cost of $8.70 per client encounter. CONCLUSION: Although client-centered care coordination was initially implemented in well-resourced communities with robust HIV research and service infrastructure, our findings suggest that C4 can be successfully implemented in resource constrained communities.
BACKGROUND: Black men who have sex with men (MSM) experience disproportionate rates of HIV infection in the USA, despite being no more likely to engage in sexual risk behaviors than other MSM racial/ethnic groups. HIV pre-exposure prophylaxis (PrEP) has been shown to reduce risk of HIV acquisition; however, rates of PrEP use among Black MSM remain low. Clinical, psychosocial, and structural factors have been shown to impact PrEP use and adherence among Black MSM. Care coordination of HIV prevention services has the potential to improve PrEP use and adherence for Black MSM, as it has been shown to improve HIV-related care outcomes among people living with HIV. METHODS: Client-centered care coordination (C4) is a multi-level intervention designed to address clinical, psychosocial, and structural barriers to HIV prevention services for Black MSM within HPTN 073, a PrEP demonstration project among Black MSM in three cities in the USA. The current study examined the implementation process of C4, specifically investigating the activities, cost, time, and outcomes associated with the C4 intervention. RESULTS: On average, participants engaged in five care coordination encounters. The vast majority of care coordination activities were conducted by counselors, averaging 30 min per encounter. The cost of care coordination was relatively low with a mean cost of $8.70 per client encounter. CONCLUSION: Although client-centered care coordination was initially implemented in well-resourced communities with robust HIV research and service infrastructure, our findings suggest that C4 can be successfully implemented in resource constrained communities.
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