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.

Mortality Among Children Aged <5 Years Living with HIV Who Are Receiving Antiretroviral Treatment - U.S. President's Emergency Plan for AIDS Relief, 28 Supported Countries and Regions, October 2020-September 2022.

Globally, children aged <5 years, including those living with HIV who are not receiving antiretroviral treatment (ART), experience disproportionately high mortality. Global mortality among children living with HIV aged <5 years receiving ART is not well described. This report compares mortality and related clinical measures among infants aged <1 year and children aged 1-4 years living with HIV with those among older persons aged 5-14, 15-49, and ≥50 years living with HIV receiving ART services at all clinical sites supported by the U.S. President's Emergency Plan for AIDS Relief. During October 2020-September 2022, an average of 11,980 infants aged <1 year and 105,510 children aged 1-4 years were receiving ART each quarter; among these infants and children receiving ART, 586 (4.9%) and 2,684 (2.5%), respectively, were reported to have died annually. These proportions of infants and children who died ranged from four to nine times higher in infants aged <1 year, and two to five times higher in children aged 1-4 years, than the proportions of older persons aged ≥5 years receiving ART. Compared with persons aged ≥5 years living with HIV, the proportions of children aged <5 years living with HIV who experienced interruptions in treatment were also higher, and the proportions who had a documented HIV viral load result or a suppressed viral load were lower. Prioritizing and optimizing HIV and general health services for children aged <5 years living with HIV receiving ART, including those recommended in the WHO STOP AIDS Package, might help address these disproportionately poorer outcomes.

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.

'They can stigmatize you': a qualitative assessment of the influence of school factors on engagement in care and medication adherence among adolescents with HIV in Western Kenya.

School-related factors may influence retention in care and adherence to antiretroviral therapy (ART) among adolescents with human immunodeficiency virus (HIV). We analyzed data from in-depth interviews with 40 adolescents with HIV (aged 14 -19 years), 40 caregivers of adolescents with HIV, and 4 focus group discussions with healthcare workers to evaluate contextual factors affecting adherence to ART and clinic attendance among adolescents, with a focus on the school environment. Informed by Anderson's Model of Health Services Utilization, transcripts were systematically coded and synthesized to identify school-related themes. All groups identified the school environment as a critical barrier to engagement in HIV care and medication adherence for adolescents with HIV. Adolescent participants reported inflexible school schedules and disclosure to school staff as the biggest challenges adhering to clinic appointments and ART. Adolescents described experiencing stigma and discrimination by peers and school staff and would adjust when, where and how often they took ART to avoid inadvertent disclosure. Boarding school students faced challenges because they had limited private space or time. Caregivers were often instrumental in navigating school permissions, including identifying a treatment supporter among school staff. Additional research engaging school staff may guide interventions for schools to reduce stigma and improve adherence and retention.

Trends in clinical characteristics and outcomes of Pre-ART care at a large HIV clinic in Nairobi, Kenya: a retrospective cohort study.

BACKGROUND: The success of antiretroviral therapy in resource-scarce settings is an illustration that complex healthcare interventions can be successfully delivered even in fragile health systems. Documenting the success factors in the scale-up of HIV care and treatment in resource constrained settings will enable health systems to prepare for changing population health needs. This study describes changing demographic and clinical characteristics of adult pre-ART cohorts, and identifies predictors of pre-ART attrition at a large urban HIV clinic in Nairobi, Kenya. METHODS: We conducted a retrospective cohort analysis of data on HIV infected adults (≥15 years) enrolling in pre-ART care between January 2004 and September 2015. Attrition (loss to program) was defined as those who died or were lost to follow-up (having no contact with the facility for at least 6 months). We used Kaplan-Meier survival analysis to determine time to event for the different modes of transition, and Cox proportional hazards models to determine predictors of pre-ART attrition. RESULTS: Over the 12 years of observation, there were increases in the proportions of young people (age 15 to 24 years); and patients presenting with early disease (by WHO clinical stage and higher median CD4 cell counts), p = 0.0001 for trend. Independent predictors of attrition included: aHR (95% CI): male gender 1.98 (1.69-2.33), p = 0.0001; age 20-24 years 1.80 (1.37-2.37), p = 0.0001), or 25-34 years 1.22 (1.01-1.47), p = 0.0364; marital status single 1.55 (1.29-1.86), p = 0.0001) or divorced 1.41(1.02-1.95), p = 0.0370; urban residency 1.83 (1.40-2.38), p = 0.0001; CD4 count of 0-100 cells/µl 1.63 (1.003-2.658), p = 0.0486 or CD4 count >500 cells/µl 2.14(1.46-3.14), p = 0.0001. CONCLUSIONS: In order to optimize the impact of HIV prevention, care and treatment in resource scarce settings, there is an urgent need to implement prevention and treatment interventions targeting young people and patients entering care with severe immunosuppression (CD4 cell counts <100 cells/µl). Additionally, care and treatment programmes should strengthen inter-facility referrals and linkages to improve care coordination and prevent leakages in the HIV care continuum.

Pediatric and adolescent HIV viral load coverage and suppression rates in the context of the COVID-19 pandemic in 12 PEPFAR-supported sub-Saharan African countries in 2019 and 2020.

The early period of the COVID-19 pandemic limited access to HIV services for children and adolescents living with HIV (C/ALHIV). To determine progress in providing care and treatment services, we describe viral load coverage (VLC) and suppression (VLS) (<1000 copies/ mL) rates during the COVID-19 pandemic in 12 United States President's Emergency Plan for AIDS Relief (PEPFAR)-supported countries. Data for children (0-9 years) and adolescents (10-19 years) on VLC and VLS were analyzed for 12 sub-Saharan African (SSA) countries between 2019 (pre-COVID-19) and 2020 (during COVID-19). We report the number of viral load (VL) tests, and percent change in VLC and VLS for patients on ART. For 12 countries, 181,192 children had a VL test during the pre-COVID-19 period compared with 177,683 December 2020 during COVID-19. VLC decreased from 68.8% to 68.3% overall. However, 9 countries experienced an increase ranging from a 0.7%-point increase for Tanzania and Zimbabwe to a 15.3%-point increase for Nigeria. VLS increased for all countries from 71.2% to 77.7%. For adolescents the number with a VL test increased from 377,342 to 402,792. VLC decreased from 77.4% to 77.1%. However, 7 countries experienced an increase ranging from 1.8% for Mozambique to 13.8% for Cameroon. VLS increased for all countries from 76.8% to 83.8%. This analysis shows variation in HIV VLC across 12 SSA countries. VLS consistently improved across all countries demonstrating resilience of countries during 2020. Countries should continue to improve clinical outcomes from C/ALHIV despite service disruptions that may occur during pandemic response.

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.

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.

HIV Viral Load Scale-up Among Children and Adolescents: Trends in Viral Load Suppression, Sample Type and Processing in 7 PEPFAR Countries, 2015-2018.

HIV-positive children and adolescents face gaps in viral load (VL) testing. To understand trends in pediatric/adolescent VL testing, 7 countries collected data from Laboratory Information Management Systems. Results showed increasing proportion of VL tests done through dried blood spot (DBS) and decreased sample rejection rates for DBS compared with plasma, supporting use of DBS VL when skilled phlebotomy is unavailable.

Factors Associated with Treatment Outcomes Among Children and Adolescents Living with HIV Receiving Antiretroviral Therapy in Central Kenya.

Expanded access to HIV treatment services has improved outcomes for children and adolescents living with HIV in Kenya. Minimal data are available on these outcomes. We describe temporal trends in outcomes for children and adolescents initiating antiretroviral therapy (ART) from 2004 to 2014 at sites supported by Centre for Health Solutions-Kenya, in central Kenya. We retrospectively analyzed data from children 0-9 years of age (n = 3,519) and adolescents 10-19 years of age (n = 1,663) living with HIV, who newly initiated ART at 47 health facilities in central Kenya. Year cohorts were analyzed from the Comprehensive Patient Application Database (CPAD) and International Quality Care (IQCare) electronic medical databases, including temporal trends in outcomes and associated factors using multivariable competing risk regression analysis. There were more girls (2,453 [52.7%]) than boys, with most enrolled at World Health Organization (WHO) stage II (1,813 [37.7%]) or III disease (1,694 [35.1%]). Most of the children and adolescents (4,431 [96.4%]) did not have tuberculosis (TB) symptoms. Cumulative lost to follow-up (LTFU) incidence at 6, 12, 24, and 36 months were 5.0%, 9.9%, 22.9%, and 33.1%, respectively. Cumulative mortality incidence at 6, 12, 24, and 36 months were 0.7%, 1.0%, 1.2%, and 1.5%, respectively. The incidence of LTFU was higher among female children and adolescents, those initiated on tenofovir-based regimens, and those with presumptive TB symptoms. Mortality risk was higher among those with WHO stage III or IV disease, and children and adolescents on TB treatment or who had presumptive TB. Enrollment occurred at a young age and pediatric-friendly ART regimens were initiated at earlier WHO stages implying effective early infant diagnosis and treatment for all strategies, resulting in improved treatment outcomes. The higher retention rates in recent years as well as the lower retention after many years of follow-up underscore the importance of implementing longitudinal follow-up strategies targeting this population.

A national household survey on HIV prevalence and clinical cascade among children aged ≤15 years in Kenya (2018).

We analyzed data from the 2018 Kenya Population-Based HIV Impact Assessment (KENPHIA), a cross-sectional, nationally representative survey, to estimate the burden and prevalence of pediatric HIV infection, identify associated factors, and describe the clinical cascade among children aged < 15 years in Kenya. Interviewers collected information from caregivers or guardians on child's demographics, HIV testing, and treatment history. Blood specimens were collected for HIV serology and if HIV-positive, the samples were tested for viral load and antiretrovirals (ARV). For participants <18 months TNA PCR is performed. We computed weighted proportions with 95% confidence intervals (CI), accounting for the complex survey design. We used bivariable and multivariable logistic regression to assess factors associated with HIV prevalence. Separate survey weights were developed for interview responses and for biomarker testing to account for the survey design and non-response. HIV burden was estimated by multiplying HIV prevalence by the national population projection by age for 2018. Of 9072 survey participants (< 15 years), 87% (7865) had blood drawn with valid HIV test results. KENPHIA identified 57 HIV-positive children, translating to an HIV prevalence of 0.7%, (95% CI: 0.4%-1.0%) and an estimated 138,900 (95% CI: 84,000-193,800) of HIV among children in Kenya. Specifically, children who were orphaned had about 2 times higher odds of HIV-infection compared to those not orphaned, adjusted Odds Ratio (aOR) 2.2 (95% CI:1.0-4.8). Additionally, children whose caregivers had no knowledge of their HIV status also had 2 times higher odds of HIV-infection compared to whose caregivers had knowledge of their HIV status, aOR 2.4 (95% CI: 1.1-5.4)". From the unconditional analysis; population level estimates, 78.9% of HIV-positive children had known HIV status (95% CI: 67.1%-90.2%), 73.6% (95% CI: 60.9%-86.2%) were receiving ART, and 49% (95% CI: 32.1%-66.7%) were virally suppressed. However, in the clinical cascade for HIV infected children, 92% (95% CI: 84.4%-100%) were receiving ART, and of these, 67.1% (95% CI: 45.1%-89.2%) were virally suppressed. The KENPHIA survey confirms a substantial HIV burden among children in Kenya, especially among orphans.

"They Just Tell Me to Abstain:" Variable Access to and Uptake of Sexual and Reproductive Health Services Among Adolescents Living With HIV in Kenya.

Background: To improve holistic care for adolescents living with HIV (ALHIV), including integration of sexual and reproductive health services (SRHS), the Kenya Ministry of Health implemented an adolescent package of care (APOC). To inform optimized SRH service delivery, we sought to understand the experiences with SRHS for ALHIV, their primary caregivers, and health care workers (HCWs) following APOC implementation. Methods: We completed a mixed methods evaluation to characterize SRHS provided and personal experiences with access and uptake using surveys conducted with facility managers from 102 randomly selected large HIV treatment facilities throughout Kenya. Among a subset of 4 APOC-trained facilities in a high burden county, we conducted in-depth interviews (IDIs) with 40 ALHIV and 40 caregivers of ALHIV, and 4 focus group discussions (FGDs) with HCWs. Qualitative data was analyzed using thematic analysis. Facility survey data was analyzed using descriptive statistics. Results: Of 102 surveyed facilities, only 56% reported training in APOC and 12% reported receiving additional adolescent-related SRHS training outside of APOC. Frequency of condom provision to ALHIV varied, with 65% of facilities providing condoms daily and 11% never providing condoms to ALHIV. Family planning (FP) was provided to ALHIV daily in 60% of facilities, whereas 14% of facilities reported not providing any FP services to ALHIV. Screening and treatment for STIs for adolescents were provided at all clinics, with 67% providing STI services daily. Three key themes emerged characterizing experiences with adolescent SRHS access and uptake: (1) HCWs were the preferred source for SRH information, (2) greater adolescent autonomy was a facilitator of SRH discussions with HCWs, and (3) ALHIV had variable access to and limited uptake of SRHS within APOC-trained health facilities. The primary SRHS reported available to ALHIV were abstinence and condom use education. There was variable access to FP, condoms, pregnancy and STI testing, and partner services. Adolescents reported limited utilization of SRHS beyond education. Conclusions: Our results indicate a gap in SRHS offered within APOC trained facilities and highlight the importance of adolescent autonomy when providing SRHS and further HCW training to improve SRHS integration within HIV care for ALHIV.

Seroprevalence and risk factors of SARS-CoV-2 infection in an urban informal settlement in Nairobi, Kenya, December 2020.

Introduction: Urban informal settlements may be disproportionately affected by the COVID-19 pandemic due to overcrowding and other socioeconomic challenges that make adoption and implementation of public health mitigation measures difficult. We conducted a seroprevalence survey in the Kibera informal settlement, Nairobi, Kenya, to determine the extent of SARS-CoV-2 infection. Methods: Members of randomly selected households from an existing population-based infectious disease surveillance (PBIDS) provided blood specimens between 27 th November and 5 th December 2020. The specimens were tested for antibodies to the SARS-CoV-2 spike protein. Seroprevalence estimates were weighted by age and sex distribution of the PBIDS population and accounted for household clustering. Multivariable logistic regression was used to identify risk factors for individual seropositivity.   Results: Consent was obtained from 523 individuals in 175 households, yielding 511 serum specimens that were tested. The overall weighted seroprevalence was 43.3% (95% CI, 37.4 - 49.5%) and did not vary by sex. Of the sampled households, 122(69.7%) had at least one seropositive individual. The individual seroprevalence increased by age from 7.6% (95% CI, 2.4 - 21.3%) among children (<5 years), 32.7% (95% CI, 22.9 - 44.4%) among children 5 - 9 years, 41.8% (95% CI, 33.0 - 51.1%) for those 10-19 years, and 54.9%(46.2 - 63.3%) for adults (≥20 years). Relative to those from medium-sized households (3 and 4 individuals), participants from large (≥5 persons) households had significantly increased odds of being seropositive, aOR, 1.98(95% CI, 1.17 - 1.58), while those from small-sized households (≤2 individuals) had increased odds but not statistically significant, aOR, 2.31 (95% CI, 0.93 - 5.74).  Conclusion: In densely populated urban settings, close to half of the individuals had an infection to SARS-CoV-2 after eight months of the COVID-19 pandemic in Kenya. This highlights the importance to prioritize mitigation measures, including COVID-19 vaccine distribution, in the crowded, low socioeconomic settings.

Trends, treatment outcomes, and determinants for attrition among adult patients in care at a large tertiary HIV clinic in Nairobi, Kenya: a 2004-2015 retrospective cohort study.

BACKGROUND: Understanding trends in patient profiles and identifying predictors for adverse outcomes are key to improving the effectiveness of HIV care and treatment programs. Previous work in Kenya has documented findings from a rural setting. This paper describes trends in demographic and clinical characteristics of antiretroviral therapy (ART) treatment cohorts at a large urban, referral HIV clinic and explores treatment outcomes and factors associated with attrition during 12 years of follow-up. METHODS: This was a retrospective cohort analysis of HIV-infected adults who started ART between January 1, 2004, and September 30, 2015. ART-experienced patients and those with missing data were excluded. The Cochran-Armitage test was used to determine trends in baseline characteristics over time. Cox proportional hazards models were used to determine the effect of baseline characteristics on attrition. RESULTS: ART uptake among older adolescents (15-19 years), youth, and young adults increased over time (p=0.0001). Independent predictors for attrition included (adjusted hazard ratio [95% CI]) male sex: 1.30 (1.16-1.45), p=0.0001; age: 15-19 years: 1.83 (1.26-2.66), p=0.0014; 20-24 years: 1.93 (1.52-2.44), p=0.0001; and 25-29 years: 1.31 (1.11-1.54), p=0.0012; marital status - single: 1.27 (1.11-1.44), p=0.0005; and divorced/separated: 1.56 (1.30-1.87), p=0.0001; urban residence: 1.40 (1.20-1.64), p=0.0001; entry into HIV care following hospitalization: 1.31 (1.10-1.57), p=0.0026, or transfer from another facility: 1.60 (1.26-2.04), p=0.0001; initiation of ART more than 12 months after the date of HIV diagnosis: 1.36 (1.19-1.55), p=0.0001, and history of a current or past opportunistic infection (OI): 1.15 (1.02-1.30), p=0.0284. CONCLUSION: Although ART uptake among adolescents and young people increased over time, this group was at increased risk for attrition. Single marital status, urban residence, history of hospitalization or OI, and delayed initiation of ART also predicted attrition. This calls for focused evidence-informed strategies to address attrition and improve outcomes.