Cost of pre-exposure prophylaxis delivery in family planning clinics to prevent HIV acquisition among adolescent girls and young women in Kisumu, Kenya

Introduction Oral pre-exposure prophylaxis (PrEP) is increasingly being implemented in sub-Saharan Africa. Adolescent girls and young women (AGYW) in Kenya contribute more than half of all new infections among young people aged 15–24 years, highlighting the need for evidence on the cost of PrEP in real-world implementation to inform the budget impact, cost-effectiveness, and financial sustainability of PrEP programs. Methods We estimated the cost of delivering PrEP to AGYW enrolled in a PrEP implementation study in two family planning clinics in Kisumu county, located in western Kenya. We derived total annual costs and the average cost per client-month of PrEP by input type (variable or fixed) and visit type (initiation or follow-up). We estimated all costs as implemented in the study, and under implementation by the Kenyan Ministry of Health (MoH), both at the program volume observed and if the facilities were delivering PrEP at full capacity (scaled-MoH). Results For the costing period between March 2018 and March 2019, 615 HIV-negative women contributed 1,128 (502 initiation and 626 follow-up) visits. The average cost per client-month of PrEP dispensed per study protocol and per the MoH scenario was $28.92 and $14.52, respectively. If the MoH scaled the program so that facilities could see PrEP clients at capacity, the average cost per client-month of PrEP was $10.88. Medication costs accounted for the largest proportion of the total annual costs (48% in MoH scenario and 65% in the scaled-MoH scenario). Conclusions Using data from a PrEP implementation program, we found that the cost per client-month of PrEP dispensed is reduced by 62% if PrEP delivery at the two clinics is scaled up by the MoH. Our findings are valuable for informing local resource allocation and budgetary cost projections for scale-up of PrEP delivery to AGYW. Additionally, previous cost-effectiveness studies have been limited by the use of fixed assumptions of the cost of PrEP per person-month. Our study provides cost estimates from practical data which will better inform cost-effectiveness and budget impact analyses.

[1]  J. Baeten,et al.  Evaluation of a behavior-centered design strategy for creating demand for oral PrEP among young women in Cape Town, South Africa , 2020, Gates open research.

[2]  Daniel Bell,et al.  Coalition , 2020, Radiopaedia.org.

[3]  J. Baeten,et al.  Evaluation of a behavior-centered design strategy for creating demand for oral PrEP among young women in Cape Town, South Africa. , 2020, Gates open research.

[4]  R. Ofori-Asenso,et al.  Global Epidemiologic Characteristics of Sexually Transmitted Infections Among Individuals Using Preexposure Prophylaxis for the Prevention of HIV Infection , 2019, JAMA network open.

[5]  A. F. Bochner,et al.  The role of costing in the introduction and scale‐up of HIV pre‐exposure prophylaxis: evidence from integrating PrEP into routine maternal and child health and family planning clinics in western Kenya , 2019, Journal of the International AIDS Society.

[6]  J. Baeten,et al.  The Incremental Cost of Delivering PrEP as a Bridge to ART for HIV Serodiscordant Couples in Public HIV Care Clinics in Kenya , 2019, AIDS research and treatment.

[7]  L. Bekker,et al.  Global PrEP roll-out: recommendations for programmatic success. , 2019, The lancet. HIV.

[8]  W. Venter Pre-exposure Prophylaxis: The Delivery Challenge , 2018, Front. Public Health.

[9]  Robyn M Stuart,et al.  Cost and cost‐effectiveness analysis of pre‐exposure prophylaxis among men who have sex with men in two hospitals in Thailand , 2018, Journal of the International AIDS Society.

[10]  R. Melendez,et al.  Improving PrEP Implementation Through Multilevel Interventions: A Synthesis of the Literature , 2018, AIDS and Behavior.

[11]  C. Morrison,et al.  Correction: Prevalence of sexually transmitted infections and bacterial vaginosis among women in sub-Saharan Africa: An individual participant data meta-analysis of 18 HIV prevention studies , 2018, PLoS medicine.

[12]  L. Bekker,et al.  Motivated Reasoning and HIV Risk? Views on Relationships, Trust, and Risk from Young Women in Cape Town, South Africa, and Implications for Oral PrEP , 2018, AIDS and Behavior.

[13]  C. Morrison,et al.  Prevalence of sexually transmitted infections and bacterial vaginosis among women in sub-Saharan Africa: An individual participant data meta-analysis of 18 HIV prevention studies , 2018, PLoS medicine.

[14]  Suzanna C. Francis,et al.  Prevalence of sexually transmitted infections among young people in South Africa: A nested survey in a health and demographic surveillance site , 2018, PLoS medicine.

[15]  T. Hallett,et al.  The potential impact and cost of focusing HIV prevention on young women and men: A modeling analysis in western Kenya , 2017, PloS one.

[16]  R. Walensky,et al.  Potential Clinical and Economic Value of Long-Acting Preexposure Prophylaxis for South African Women at High-Risk for HIV Infection , 2015, The Journal of infectious diseases.

[17]  T. Hallett,et al.  The new role of antiretrovirals in combination HIV prevention: a mathematical modelling analysis , 2013, AIDS.