Factors associated with enrollment into differentiated service delivery model among adults with HIV in Kenya.

INTRODUCTION: Differentiated service delivery (DSD) such as multimonth dispensing (MMD) aims to provide client-centered HIV services, while reducing the workload within health facilities. We assessed individual and facility factors associated with receiving more than three MMD and switching from ≥3MMD back to <3MMD in Kenya. METHODS: We conducted a retrospective cohort study of clients eligible for DSD between July 2017 and December 2019. A random sample of clients eligible for DSD was selected from 32 randomly selected facilities located in Nairobi, Kisii, and Migori counties. We used a multilevel Poisson regression model to assess the factors associated with receiving ≥3MMD, and with switching from ≥3MMD back to <3MMD. RESULTS: A total of 3501 clients eligible for ≥3MMD were included in our analysis: 1808 (51.6%) were receiving care in Nairobi County and the remaining 1693 (48.4%) in Kisii and Migori counties. Overall, 65% of clients were enrolled in ≥3MMD at the time of entry into the cohort. In the multivariable model, younger age (20-24; 25-29; 30-34 vs. 50 or more years) and switching ART regimen was significantly associated with a lower likelihood of ≥3MMD uptake. Factors associated with a higher likelihood of enrollment in ≥3MMD included receiving DTG vs. EFV-based ART regimen (aRR: 1.10; 95% confidence interval: 1.05-1.15). CONCLUSION: Client-level characteristics are associated with being on ≥3MMD and the likelihood of switching from ≥3MMD to <3MMD. Monitoring DSD enrollment across different populations is critical to successfully implementing these models continually.

Factors associated with adherence and viral suppression among patients on second-line antiretroviral therapy in an urban HIV program in Kenya.

Objective: The aim of this study is to estimate the proportion of virologically suppressed People living with HIV on second-line ART and to identify factors associated with virologic suppression. With an increasing population of patients on complex second-line anti retroviral therapy (ART), understanding the factors associated with viral suppression and adherence is critical for ensured longevity of ART. Methods: A retrospective study was conducted of patients on second-line ART in 17 facilities supported by University of Maryland, Baltimore, in Nairobi, Kenya, covering the period beginning October 2016 up to August 2019. Viral suppression was defined as viral load <1000 copies/mL in a test conducted in the last 12 months. Adherence was assessed through self-reports and classified as optimal (good) or suboptimal (inadequate/poor). Associations were presented as adjusted risk ratios with 95% confidence intervals. Statistical significance was considered when p value ⩽0.05. Results: Of 1100 study participants with viral load data, 974 (88.5%) reported optimal adherence while on first-line ART and 1029 (93.5%) reported optimal adherence to second-line ART. Overall, viral load suppression on second-line ART was 90%. Optimal adherence ((adjusted risk ratio) 1.26; 95% confidence interval 1.09-1.46)) and age 35-44 versus 15-24 years ((adjusted risk ratio) 1.06; 95% confidence interval 1.01-1.13)) were associated with viral suppression . Adherence to first-line ART ((adjusted risk ratio) 1.19; 95% confidence interval 1.02-1.40)) was associated with adherence to second-line ART. Conclusion: Viral suppression remains high and adherence was strongly associated with viral suppression, underscoring the need to adequately address the barriers to adherence before switching regimens.

Scale-up of HIV index testing in an urban population: Experiences and achievements from Nairobi County, Kenya.

OBJECTIVE: To describe the implementation strategies of the index testing program across Nairobi County in Kenya, assess outcomes along the HIV index testing cascade (acceptance, elicitation ratio, HIV positivity and linkage to treatment), and assess annual changes along the HIV index testing cascade during the first 2 years of implementation. METHODS: Retrospective analysis of programmatic aggregate data collected from October 2017 to September 2019 after the roll-out of index testing services in 48 health facilities in Nairobi County. Proportions and ratios were calculated for acceptance, elicitation ratio, testing uptake and HIV positivity. We compared these outcomes between years using a chi-squared test, Fisher's exact test or Wilcoxon sign test, and we assessed trends using the Mann-Kendall test. RESULTS: Testing among eligible partners increased from 42.4% (1471/3470) to 74.9% (6114/8159) in the general population, and the positivity yield remained high across both years (25.2% in year 1 and 24.1% in year 2). Index testing positivity yield remained significantly higher than other testing modalities (24.3% vs. 1.3%, p < 0.001). The contribution of index testing services to the total number of HIV-positive individuals identified increased from 7.5% in the first year to 28.6% in the second year (p < 0.001). More men were tested, but the positivity yield was higher among women (30.0%) and those aged 50 years or older (32.4%). Testing eligible partners in key populations (KPs) decreased from 52.4% (183/349) to 40.7% (109/268) (p = 0.674); however, the HIV positivity yield increased from 8.6% to 23.9% (p < 0.001) by the second year of implementation. The HIV positivity yield from index testing remained higher than other testing modalities (14% vs. 0.9%, p < 0.001) for KPs. CONCLUSION: Index testing was well-accepted and effective in identifying individuals living with HIV in a Kenyan urban setting across both general populations and KPs. Ongoing adaptations to the strategies deployed as part of index testing services helped improve most of the outcomes along the index testing cascade.

Factors Associated with Retention in HIV Prevention and Treatment Clinical Services Among Female Sex Workers Enrolled in a Sex Workers' Outreach Program (SWOP) in Nairobi, Kenya.

Female sex workers (FSWs) are among the key populations (KP) prioritized for comprehensive HIV programming in Kenya. Retention in the program is critical for prevention of HIV acquisition and transmission among FSWs and their sexual partners. We conducted a retrospective cohort analysis of data collected from FSWs enrolled between October 2016 and September 2017 at seven drop-in centers (DICs) in Nairobi, Kenya, to assess factors associated with retention in HIV prevention and treatment services. We found a 3- and 12- month retention of 24% and 17%, respectively. FSWs aged 20-34 years old were less likely to be retained compared to those 50 years or older. FSWs enrolled in a DIC located in their sub-county of residence or reporting ever using HIV pre- or post-exposure prophylaxis were more likely to be retained. Engaging young FSWs to identify strategies to enhance retention should be prioritized. Strengthening the referral system across DICs may provide opportunities to enhance retention in facilities closer to their residence. Implementation research is needed to gain an additional understanding of the health services needs and preferences among FSWs to optimize retention for this population.

Factors Associated with Loss to Follow-Up Among Patients Receiving HIV Treatment in Nairobi, Kenya.

We investigated factors associated with loss to follow-up (LTFU) in 24 urban health facilities in Nairobi, Kenya. We conducted a retrospective analysis of routinely collected data to assess factors associated with LTFU in the period October 1, 2016, to June 30, 2017. LTFU was defined as no antiretroviral therapy (ART) refill for ≥90 days and no documentation of transfer, death, or treatment cessation in the patient chart, and if no lapse of ≥90 days between ART refills, patients were considered retained in care. Multivariable logistic regression modeling was used to compute odds ratios and 95% confidence interval (CI) for LTFU. Our analysis included 633 individuals who were LTFU and 13,098 individuals retained in care. Most participants (69.6%) were women, and median age was 33.0 years (interquartile range, 27.2-38.3 years). Median ART duration was shorter among those LTFU (0.4 years) than retained patients (2.5 years, p < .0001). Being male [adjusted odds ratio (aOR) 1.30; 95% CI: 1.04-1.63, p = .02], transferring into facilities while already receiving ART (aOR 11.58; 95% CI: 8.23-16.29, p < .0001), and having a shorter ART duration (<6 months) were associated with increased odds of LTFU. Patients who transferred into a facility while already receiving ART had the highest adjusted odds of being LTFU compared with those retained in care. In this urban and highly mobile population, transferring into facilities while already receiving ART was strongly associated with LTFU. Focusing programming efforts on patients transferring between urban clinics to identify reasons for transfer and potential barriers to treatment adherence could help improve patient outcomes. Supplementary case management and support may be needed to promote a seamless transition and ensure uninterrupted engagement in HIV care and treatment.