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Patient-mix, programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (ART) before and after the implementation of HIV "Treat All" in Zimbabwe.

ABSTRACT: BACKGROUND:Since the scale-up of the HIV "Treat All" recommendation, evidence on its real-world effect on predictors of attrition (either death or lost to follow-up) is lacking. We conducted a retrospective study using Zimbabwe ART program data to assess the association between "Treat All" and, patient-mix, programmatic characteristics, retention and predictors of attrition. METHODS:We used patient-level data from the electronic patient monitoring system (ePMS) from the nine districts, which piloted the "Treat All" recommendation. We compared patient-mix, programme characteristics, retention and predictors of attrition (lost to follow-up, death or stopping ART) in two cohorts; before (April/May 2016) and after (January/February 2017) "Treat All". Retention was estimated using survival analysis. Predictors of attrition were determined using a multivariable Cox regression model. Interactions were used to assess the change in predictors of attrition before and after "Treat All". RESULTS:We analysed 3787 patients, 1738 (45.9%) and 2049 (54.1%) started ART before and after "Treat All", respectively. The proportion of men was higher after "Treat All" (39.4.% vs 36.2%, p = 0.044). Same-day ART initiation was more frequent after "Treat All" (43.2% vs 16.4%; p<0.001) than before. Retention on ART was higher before "Treat All" (p<0.001). Among non-pregnant women and men, the adjusted hazard ratio (aHR) of attrition after compared to before "Treat All" was 1.73 (95%CI: 1.30-2.31). The observed hazard of attrition for women being pregnant at ART initiation decreased by 17% (aHR: 1.73*0.48 = 0.83) after "Treat All". Being male (vs female; aHR: 1.45; 95%CI: 1.12-1.87) and WHO Stage IV (vs WHO Stage I-III; aHR: 2.89; 95%CI: 1.16-7.11) predicted attrition both before and after "Treat All" implementation. CONCLUSION:Attrition was higher after "Treat All"; being male, WHO Stage 4, and pregnancy predicted attrition in both before and after Treat All. However, pregnancy became a less strong risk factor for attrition after "Treat All" implementation.

SUBMITTER: Makurumidze R

PROVIDER: S-EPMC7571688 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Patient-mix, programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (ART) before and after the implementation of HIV "Treat All" in Zimbabwe.

Makurumidze Richard R Buyze Jozefien J Decroo Tom T Lynen Lutgarde L de Rooij Madelon M Mataranyika Trevor T Sithole Ngwarai N Takarinda Kudakwashe C KC Apollo Tsitsi T Hakim James J Van Damme Wim W Rusakaniko Simbarashe S

PloS one 20201019 10

<h4>Background</h4>Since the scale-up of the HIV "Treat All" recommendation, evidence on its real-world effect on predictors of attrition (either death or lost to follow-up) is lacking. We conducted a retrospective study using Zimbabwe ART program data to assess the association between "Treat All" and, patient-mix, programmatic characteristics, retention and predictors of attrition.<h4>Methods</h4>We used patient-level data from the electronic patient monitoring system (ePMS) from the nine distr ...[more]

PMID: 33075094

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Project description:BackgroundKey populations (KP) are disproportionately infected with HIV and experience barriers to HIV care. KP include men who have sex with men (MSM), female sex workers (FSW), persons who inject drugs (PWID) and transgender people (TG). We implemented three different approaches to the delivery of community-based antiretroviral therapy for KP (KP-CBART) in Benue State Nigeria, including One Stop Shop clinics (OSS), community drop-in-centres (DIC), and outreach venues. OSS are community-based health facilities serving KP only. DIC are small facilities led by lay healthcare providers and supported by an outreach team. Outreach venues are places in the community served by the outreach team. We studied long-term attrition of KP and virological non-suppression.MethodThis is a retrospective cohort study of KP living with HIV (KPLHIV) starting ART between 2016 and 2019 in 3 0SS, 2 DIC and 8 outreach venues. Attrition included lost to follow-up (LTFU) and death. A viral load >1000 copies/mL showed viral non-suppression. Survival analysis was used to assess retention on ART. Cox regression and Firth logistic regression were used to assess risk factors for attrition and virological non-suppression respectively.ResultOf 3495 KPLHIV initiated on ART in KP-CBART, 51.8% (n = 1812) were enrolled in OSS, 28.1% (n = 982) in DIC, and 20.1% (n = 701) through outreach venues. The majority of participants were FSW-54.2% (n = 1896), while 29.8% (n = 1040), 15.8% (n = 551) and 0.2% (n = 8) were MSM, PWID, and TG respectively. The overall retention in the programme was 63.5%, 55.4%, 51.2%, and 46.7% at 1 year, 2 years, 3 years, and 4 years on ART. Of 1650 with attrition, 2.5% (n = 41) died and others were LTFU. Once adjusted for other factors (age, sex, place of residence, year of ART enrollment, WHO clinical stage, type of KP group, and KP-CBART approach), KP-CBART approach did not predict attrition. MSM were at a higher risk of attrition (vs FSW; adjusted hazard ratio (aHR) 1.27; 95%CI: 1.14-1.42). Of 3495 patients, 48.4% (n = 1691) had a viral load test. Of those, 97.8% (n = 1654) were virally suppressed.ConclusionAlthough long-term retention in care is low, the virological suppression was optimal for KP on ART and retained in community-based ART care. However, viral load testing coverage was sub-optimal. Future research should explore the perspectives of clients on reasons for LTFU and how to adapt approach to CBART to meet individual client needs.

Project description:BACKGROUND:The last evaluation to assess outcomes for patients receiving antiretroviral therapy (ART) through the Zimbabwe public sector was conducted in 2011, covering the 2007-2010 cohorts. The reported retention at 6, 12, 24 and 36 months were 90.7%, 78.1%, 68.8% and 64.4%, respectively. We report findings of a follow-up evaluation for the 2012-2015 cohorts to assess the implementation and impact of recommendations from this prior evaluation. METHODS:A nationwide retrospective study was conducted in 2016. Multi-stage proportional sampling was used to select health facilities and study participants records. The data extracted from patient manual records included demographic, baseline clinical characteristics and patient outcomes (active on treatment, died, transferred out, stopped ART and lost to follow-up (LTFU)) at 6, 12, 24 and 36 months. The data were analysed using Stata/IC 14.2. Retention was estimated using survival analysis. The predictors associated with attrition were determined using a multivariate Cox regression model. RESULTS:A total of 3,810 participants were recruited in the study. The median age in years was 35 (IQR: 28-42). Overall, retention increased to 92.4% (p-value = 0.060), 86.5% (p-value<0.001), 79.2% (p-value<0.001) and 74.4% (p-value<0.001) at 6, 12, 24 and 36 months respectively. LTFU accounted for 98% of attrition. Being an adolescent or a young adult (15-24 years) (vs adult;1.41; 95% CI:1.14-1.74), children (<15years) (vs adults; aHR 0.64; 95% CI:0.46-0.91), receiving care at primary health care facility (vs central and provincial facility; aHR 1.23; 95% CI:1.01-1.49), having initiated ART between 2014-2015 (vs 2012-2013; aHR1.45; 95%CI:1.24-1.69), having WHO Stage IV (vs Stage I-III; aHR2.06; 95%CI:1.51-2.81) and impaired functional status (vs normal status; aHR1.25; 95%CI:1.04-1.49) predicted attrition. CONCLUSION:The overall retention was higher in comparison to the previous 2007-2010 evaluation. Further studies to understand why attrition was found to be higher at primary health care facilities are warranted. Implementation of strategies for managing patients with advanced HIV disease, differentiated care for adolescents and young adults and tracking of LTFU clients should be prioritised to further improve retention.

Project description:Importance:Attrition in general surgery residency remains high, and attrition that occurs in the later years is the most worrisome. Although several studies have retrospectively investigated the timing of attrition, no study to date has prospectively evaluated a national cohort of residents to understand which residents are at risk for attrition and at what point during residency. Objective:To prospectively evaluate individual resident and programmatic factors associated with the timing of attrition during general surgery residency. Design, Setting, and Participants:This longitudinal, national cohort study administered a survey to all categorical general surgery interns from the class of 2007-2008 during their first 30 days of residency and linked the data with 9-year follow-up data assessing program completion. Data were collected from June 1, 2007, through June 30, 2016. Main Outcomes and Measures:Kaplan-Meier curves evaluating time to attrition during the 9 years after the start of residency. Results:Among our sample of 836 residents (306 women [36.6%] and 528 men [63.2%]; gender unknown in 2), cumulative survival analysis demonstrated overall attrition for the cohort of 20.8% (n?=?164). Attrition was highest in the first postgraduate year (67.6% [n?=?111]; absolute rate, 13.3%) but continued during the next 6 years, albeit at a lower rate. Beginning in the first year, survival analysis demonstrated higher attrition among Hispanic compared with non-Hispanic residents (21.1% vs 12.4%; P?=?.04) and at military programs compared with academic or community programs after year 1 (32.3% vs 11.0% or 13.5%; P?=?.01). Beginning in year 4 of residency, higher attrition was encountered among women compared with men (23.3% vs 17.4%; P?=?.05); at year 5, at large compared with small programs (26.0% vs 18.4%; P?=?.04). Race and program location were not associated with attrition. Conclusions and Relevance:Although attrition was highest during the internship year, late attrition persists, particularly among women and among residents in large programs. These results provide a framework for timing of interventions in graduate surgical training that target residents most at risk for late attrition.

Dataset Information

Patient-mix, programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (ART) before and after the implementation of HIV "Treat All" in Zimbabwe.

Publications

Patient-mix, programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (ART) before and after the implementation of HIV "Treat All" in Zimbabwe.

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