Exploring Estimates and Reasons for Lost to Follow-Up Among People Living With HIV on Antiretroviral Therapy in Kisumu County, Kenya.

BACKGROUND: A better understanding why people living with HIV (PLHIV) become lost to follow-up (LTFU) and determining who is LTFU in a program setting is needed to attain HIV epidemic control. SETTING: This retrospective cross-sectional study used an evidence-sampling approach to select health facilities and LTFU patients from a large HIV program supporting 61 health facilities in Kisumu County, Kenya. METHODS: Eligible PLHIV included adults 18 years and older with at least 1 clinic visit between September 1, 2016, and August 31, 2018, and were LTFU (no clinical contact for ≥90 days after their last expected clinic visit). From March to June 2019, demographic and clinical variables were collected from a sample of LTFU patient files at 12 health facilities. Patient care status and retention outcomes were determined through program tracing. RESULTS: Of 787 LTFU patients selected and traced, 36% were male, median age was 30.5 years (interquartile range: 24.6-38.0), and 78% had their vital status confirmed with 560 (92%) alive and 52 (8%) deceased. Among 499 (89.0%) with a retention outcome, 233 (46.7%) had stopped care while 266 (53.3%) had self-transferred to another facility. Among those who had stopped care, psychosocial reasons were most common {65.2% [95% confidence interval (CI): 58.9 to 71.1]} followed by structural reasons [29.6% (95% CI: 24.1 to 35.8)] and clinic-based reasons [3.0% (95% CI: 1.4 to 6.2)]. CONCLUSION: We found that more than half of patients LTFU were receiving HIV care elsewhere, leading to a higher overall patient retention rate than routinely reported. Similar strategies could be considered to improve the accuracy of reporting retention in HIV care.

Improvements in pediatric and adolescent HIV testing and identification in western Kenya under the Accelerating Children's HIV/AIDS Treatment initiative.

Pediatric HIV remains a significant global concern, with 160,000 new infections annually. Accelerating Children's HIV/AIDS Treatment (ACT) provided a strategic response to the "treatment gap" for children. We examined whether activities under ACT increased testing and identification of youth living with HIV (YLWH). Family AIDS Care & Education Services implemented ACT across 130 health facilities in western Kenya between October 2015 and September 2016, providing: HIV-testing counselors and space; training on the Family Information Table (FIT) and chart audits; community outreach testing; and text message reminders for pregnant women. We analyzed the number of youths tested and identified with HIV over time and between intervention and control sites using interrupted time series analysis. We tested 268,312 youths (7,183 infants <18 months; 145,833 children 18 months to 9 years; and 115,296 adolescents 10-14 years). Mean monthly number tested per health facility increased from 2.8 to 7.2 (p < 0.0001) in infants, 44.8-142.0 (p < 0.0001) in children, and 30.1-123.3 (p < 0.0001) in adolescents. Mean monthly number identified with HIV per facility increased from 0.06 to 0.37 (p < 0.0001) in infants; 0.34-0.62 (p = 0.008) in children; and 0.17-0.26 (p = 0.04) in adolescents, resulting in 1,328 diagnoses. Among infants, FIT training was associated with increased HIV testing over time, incidence rate ratio (IRR) = 3.85 (95% confidence interval [CI] 2.16-6.84; p < 0.0001). Text messaging increased testing, IRR = 2.10 (95% CI 1.57-2.80; p < 0.0001) and identification of HIV in infants, IRR = 1.83 (95% CI 1.06-3.18; p = 0.0381) and older children, IRR = 2.25 (95% CI 1.62, 3.13; p < 0.0001). Chart audits increased testing over time among adolescents (IRR = 2.11; 95% CI 1.21-3.66; p = 0.0082). Outreach was associated with identification of adolescents with HIV, IRR = 1.58 (95% CI 1.22-2.06; p = 0.0005). In lower-income settings, targeted interventions effective at reaching YLWH can help optimize resource allocation to address gaps in testing and identification to further reduce HIV-related morbidity and mortality.

Patient preferences for HIV service delivery models; a Discrete Choice Experiment in Kisumu, Kenya.

Novel "differentiated service delivery" models for HIV treatment that reduce clinic visit frequency, minimize waiting time, and deliver treatment in the community promise retention improvement for HIV treatment in Sub-Saharan Africa. Quantitative assessments of differentiated service delivery (DSD) feature most preferred by patient populations do not widely exist but could inform selection and prioritization of different DSD models. We used a discrete choice experiment (DCE) to elicit patient preferences of HIV treatment services and how they differ across DSD models. We surveyed 18+year-olds, enrolled in HIV care for ≥6 months between February-March, 2019 at four facilities in Kisumu County, Kenya. DCE offered patients a series of comparisons between three treatment models, each varying across seven attributes: ART refill location, quantity of dispensed ART at each refill, medication pick-up hours, type of adherence support, clinical visit frequency, staff attitude, and professional cadre of person providing ART refills. We used hierarchical Bayesian model to estimate attribute importance and relative desirability of care characteristics, latent class analysis (LCA) for groups of preferences and mixed logit model for willingness to trade analysis. Of 242 patients, 128 (53.8%) were females and 150 (62.8%) lived in rural areas. Patients placed greatest importance on ART refill location [19.5% (95% CI 18.4, 10.6) and adherence support [19.5% (95% CI 18.17, 20.3)], followed by staff attitude [16.1% (95% CI 15.1, 17.2)]. In the mixed logit, patients preferred nice attitude of staff (coefficient = 1.60), refill ART health center (Coeff = 1.58) and individual adherence support (Coeff = 1.54), 3 or 6 months for ART refill (Coeff = 0.95 and 0.80, respectively) and pharmacists (instead of lay health workers) providing ART refill (Coeff = 0.64). No differences were observed by gender or urbanicity. LCA revealed two distinct groups (59.5% vs. 40.5%). Participants preferred 3 to 6-month refill interval or clinic visit spacing, which DSD offers stable patients. While DSD has encouraged community ART group options, our results suggest strong preferences for ART refills from health-centers or pharmacists over lay-caregivers or community members. These preferences held across gender&urban/rural subpopulations.

Preferences of people living with HIV for differentiated care models in Kenya: A discrete choice experiment.

INTRODUCTION: To improve retention on HIV treatment in Africa, public health programs are promoting a family of innovations to service delivery-referred to as "differentiated service delivery" (DSD) models-which seek to better meet the needs of both systems and patients by reducing unnecessary encounters, expanding access, and incorporating peers and patients in patient care. Data on the relative desirability of different models to target populations, which is currently sparse, can help guide prioritization of specific models during scale-up. METHODS: We conducted a discrete choice experiment to assess patient preferences for various characteristics of treatment services. Clinically stable people living with HIV were recruited from an HIV clinic in Kisumu, Kenya. We selected seven attributes of DSD models drawn from literature review and previous qualitative work. We created a balanced and orthogonal design to identify main term effects. A total of ten choice tasks were solicited per respondent. We calculated relative utility (RU) for each attribute level, a numerical representation of the strength of patient preference. Data were analyzed using a Hierarchical Bayesian model via Sawtooth Software. RESULTS: One hundred and four respondents (37.5% men, 41.1 years mean age) preferred receiving care at a health facility, compared with home-delivery or a community meeting point (RU = 69.3, -16.2, and -53.1, respectively; p << 0.05); receiving those services from clinicians and pharmacists-as opposed to lay health workers or peers (RU = 21.5, 5.9, -24.5; p < 0.05); and preferred an individual support system over a group support system (RU = 15.0 and 4.2; p < 0.05). Likewise, patients strongly preferred longer intervals between both clinical reviews (RU = 40.1 and -50.7 for 6- and 1-month spacing, respectively; p < 0.05) and between ART collections (RU = 33.6 and -49.5 for 6- and1-month spacing, respectively; p < 0.05). CONCLUSION: Although health systems find community- and peer-based DSD models attractive, clinically stable patients expressed a preference for facility-based care as long as clinical visits were extended to biannual. These data suggest that multi-month scripting and fast-track models best align with patient preferences, an insight which can help prioritize use of different DSD models in the region.

Correction: Adoption of routine virologic testing and predictors of virologic failure among HIV-infected children on antiretroviral treatment in western Kenya.

[This corrects the article DOI: 10.1371/journal.pone.0200242.].

Adoption of routine virologic testing and predictors of virologic failure among HIV-infected children on antiretroviral treatment in western Kenya.

BACKGROUND: Access to routine virologic monitoring, critical to ensuring treatment success, remains limited in low- and middle-income countries. We report on implementation of routine viral load (VL) monitoring and risk factors for virologic failure among HIV-infected children on antiretroviral treatment (ART) in Western Kenya. METHODS: Routine VL testing was introduced in western Kenya in November 2013. We performed a case-control study among 1190 HIV-infected children ≤15 years on ART who underwent routine VL testing June 2014-May 2015. A random sample of 98 cases (virologic failure define as VL >1000 cps/mL) and 201 controls (VL <1000 cps/mL) from five facilities in three high HIV prevalence counties in Kenya were followed for a minimum of 12 months. Data from patient charts were analyzed using logistic regression to determine factors associated with failure to attain virologic suppression at initial routine and subsequent VL testing among cases. RESULTS: Overall, 1190 (94%) children with a median age of 8 years underwent routine VL testing of whom (37%) had virological failure. Among the 299 cases and controls, WHO stage, baseline CD4 count and time since ART initiation were not associated with virologic failure during the follow-up period. In multivariable analysis, unsuppressed children at initial test were more likely to be male (adjusted Odds Ratio (aOR) 2.1, 95% Confidence Interval (CI) 2.1-3.6) and have had an ART regimen change (aOR 2.0, CI 1.0-3.7) than controls. Of the two-thirds of children 201/299 who had a subsequent VL performed, VL suppression was greater among those suppressed at initial test 126/135 (93.3%) compared to children with virologic failure 15/66 (22.7%, p<0.0001). Among those failing at first test who achieved viral suppression in follow up, 12/15 (80%) were on a protease inhibitor (PI)-based regimen. In the multivariable analysis of children with subsequent VL testing, children on PI-based 2nd line regimens were 10-fold more likely to achieve viral suppression than children on first-line NNRTI-based ART (adjusted Odds Ratio [aOR] 0.1; 95%CI 0.0-0.4). CONCLUSION: Coverage of initial routine viral load testing among children on ART in western Kenya is high. However, subsequent testing and virologic suppression are low in children with virologic failure on initial routine viral load test. There is an urgent need to improve management and viral load monitoring of children living with HIV experiencing treatment failure to ensure improved long-term outcomes.

Differentiated HIV care in sub-Saharan Africa: a scoping review to inform antiretroviral therapy provision for stable HIV-infected individuals in Kenya.

Many gaps in care exist for provision of antiretroviral therapy (ART) in sub-Saharan Africa. Differentiated HIV care tailors provision of ART for patients based on their level of acuity, providing alternatives for where, by whom, and how often care occurs. We conducted a scoping review to assess novel differentiated care models for ART provision for stable HIV-infected adults in sub-Saharan Africa, and how these models can be used to guide differentiated care implementation in Kenya. A systematic search was conducted using PubMed, Embase, Web of Science, Popline, Cochrane Library, and African Index Medicus between January 2006 and January 2017. Grey literature searches and handsearching were also used. We included articles that quantitatively assessed the health, acceptability, and cost-effectiveness of differentiated HIV care. Two reviewers independently performed article screening, data extraction and determination of inclusion for analysis. We included 40 publications involving over 240,000 participants spanning nine countries in sub-Saharan Africa - 54.4% evaluated clinical outcomes, 23.5% evaluated acceptability outcomes, and 22.1% evaluated cost outcomes. Differentiated care models included: facility fast-track drug refills and appointment spacing, facility or community-based ART groups, community ART distribution points or home-based care, and task-shifting or decentralization of care. Studies suggest that these approaches had similar outcomes in viral load suppression and retention in care and were acceptable alternatives to standard HIV care. No clear results could be inferred for studies investigating task shifting and those reporting cost-effectiveness outcomes. Kenya has started to scale up differentiated care models, but further evaluation, quality improvement and research studies should be performed as different models are rolled out.