Factors Associated With Poor Linkage to Human Immunodeficiency Virus Care Among Index Clients and Sex Partners Receiving Human Immunodeficiency Virus Assisted Partner Services in Kenya.

INTRODUCTION: Human immunodeficiency virus (HIV) assisted partner services (aPS) has been recommended as a strategy to increase HIV case finding. We evaluated factors associated with poor linkage to HIV care among newly diagnosed HIV-positive individuals (index clients) and their partners after receiving aPS in Kenya. METHODS: In a cluster randomized trial conducted between 2013 and 2015, 9 facilities were randomized to immediate aPS (intervention). Linkage to care-defined as HIV clinic registration, and antiretroviral therapy (ART) initiation were self-reported. Antiretroviral therapy was only offered to those with CD4 less than 500 during this period. We estimated linkage to care and ART initiation separately for index clients and their partners using log-binomial generalized estimating equation models with exchangeable correlation structure and robust standard errors. RESULTS: Overall, 550 index clients and 621 sex partners enrolled, of whom 46% (284 of 621) were HIV-positive. Of the 284, 264 (93%) sex partners returned at 6 weeks: 120 newly diagnosed and 144 whom had known HIV-positive status. Among the 120 newly diagnosed, only 69% (83) linked to care at 6 weeks, whereas among the 18 known HIV-positive sex partners not already in care at baseline, 61% (11) linked. Newly diagnosed HIV-positive sex partners who were younger and single were less likely to link to care (P < 0.05 for all). CONCLUSION: Only two thirds of newly diagnosed, and known HIV-positive sex partners not in care linked to care after receiving aPS. The HIV aPS programs should optimize HIV care for newly diagnosed HIV-positive sex partners, especially those who are younger and single.

Index participant characteristics and HIV assisted partner services efficacy in Kenya: results of a cluster randomized trial.

INTRODUCTION: We have previously demonstrated that assisted partner services (aPS) increases HIV testing and case finding among partners of persons living with HIV (PLHIV) in a cluster randomized trial in Kenya. However, the efficacy of aPS may vary across populations. In this analysis, we explore differences in aPS efficacy by characteristics of index participants. METHODS: Eighteen HIV testing sites were randomized to immediate versus 6-week delayed aPS. Participants were PLHIV (or index participants) and their sexual partners. Partners of index participants were contacted for HIV testing and linked to care if HIV positive. Primary outcomes were the number of partners per index participant who: 1) tested for HIV, 2) tested HIV positive and 3) enrolled in HIV care. We used generalized estimating equations to assess differences in aPS efficacy by region, testing location, gender, age and knowledge of HIV status. RESULTS: From 2013 to 2015, the study enrolled 1119 index participants, 625 of whom were in the immediate group. These index participants named 1286 sexual partners. Immediate aPS was more efficacious than delayed aPS in promoting HIV testing among partners in high compared to low HIV prevalence regions (Nyanza incidence rate ratio (IRR) 7.2; 95% confidence interval (CI) 5.4, 9.6 vs. Nairobi/Central IRR 3.4 95% CI 2.3, 4.8). Higher rates of partner HIV testing were also observed for index participants in rural/peri-urban compared to urban sites (IRR 6.6; 95% CI 4.5, 9.6 vs. IRR 3.5 95% CI 2.5, 5.0 respectively), for female versus male index participants (IRR 5.8 95% CI 4.2, 7.9 vs. IRR 3.7; 95% CI 2.4, 5.8 respectively) and for newly diagnosed versus known HIV-positive index participants (IRR 6.0 95% CI 4.2, 8.7 vs. IRR 3.3; 95% CI 2.0, 7.7 respectively). Providing aPS to female versus male index participants also had a significantly higher HIV case finding rate (IRR 9.1; 95% CI 4.0, 20.9 vs. IRR 3.2 95% CI 1.7, 6.0 respectively.) CONCLUSIONS: While it is known that aPS promotes increases in HIV testing and case finding, this is the first study to demonstrate significant differences in aPS efficacy across characteristics of the index participant. Understanding these differences and their drivers will be critical as aPS is brought to scale in order to ensure all PLHIV have access to these services.

Understanding Barriers to Scaling Up HIV-Assisted Partner Services in Kenya.

Assisted partner services (APS) are more effective than passive referral in identifying new cases of HIV in many settings. Understanding the barriers to the uptake of APS in sub-Saharan Africa is important before its scale up. In this qualitative study, we explored client, community, and healthcare worker barriers to APS within a cluster randomized trial of APS in Kenya. We conducted 20 in-depth interviews with clients who declined enrollment in the APS study and 9 focus group discussions with health advisors, HIV testing and counseling (HTC) counselors, and the general HTC client population. Two analysts coded the data using an open coding approach and identified major themes and subthemes. Many participants reported needing more time to process an HIV-positive result before providing partner information. Lack of trust in the HTC counselor led many to fear a breach of confidentiality, which exacerbated the fears of stigma in the community and relationship conflicts. The type of relationship affected the decision to provide partner information, and the lack of understanding of APS at the community level contributed to the discomfort in enrolling in the study. Establishing trust between the client and HTC counselor may increase uptake of APS in Kenya. A client's decision to provide partner information may depend on the type of relationship he or she is in, and alternative methods of disclosure may need to be offered to accommodate different contexts. Spreading awareness about APS in the community may make clients more comfortable providing partner information.

Surveillance of HIV assisted partner services using routine health information systems in Kenya.

BACKGROUND: The utilization of routine health information systems (HIS) for surveillance of assisted partner services (aPS) for HIV in sub-Saharan is sub-optimal, in part due to poor data quality and limited use of information technology. Consequently, little is known about coverage, scope and quality of HIV aPS. Yet, affordable electronic data tools, software and data transmission infrastructure are now widely accessible in sub-Saharan Africa. METHODS: We designed and implemented a cased-based surveillance system using the HIV testing platform in 18 health facilities in Kenya. The components of this system included an electronic HIV Testing and Counseling (HTC) intake form, data transmission on the Global Systems for Mobile Communication (GSM), and data collection using the Open Data Kit (ODK) platform. We defined rates of new HIV diagnoses, and characterized HIV-infected cases. We also determined the proportion of clients who reported testing for HIV because a) they were notified by a sexual partner b) they were notified by a health provider, or c) they were informed of exposure by another other source. Data collection times were evaluated. RESULTS: Among 4351 clients, HIV prevalence was 14.2 %, ranging from 4.4-25.4 % across facilities. Regardless of other reasons for testing, only 107 (2.5 %) of all participants reported testing after being notified by a health provider or sexual partner. A similar proportion, 1.8 % (79 of 4351), reported partner notification as the only reason for seeking an HIV test. Among 79 clients who reported HIV partner services as the reason for testing, the majority (78.5 %), were notified by their sexual partners. The majority (52.8 %) of HIV-infected patients initiated their HIV testing, and 57.2 % tested in a Voluntary Counseling and Testing (VCT) site co-located in a health facility. Median time for data capture was 4 min (IQR: 3-15), with a longer duration for HIV-infected participants, and there was no reported data loss. CONCLUSION: aPS surveillance using new technologies is feasible, and could be readily expanded into HIV registries in Kenya and other sub-Saharan countries. Partner services are under-utilized in Kenya but further documentation of coverage and implementation gaps for HIV and aPS services is required.