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Long-term retention and positive deviant practices in Uganda’s community client-led antiretroviral distribution groups (CCLADs)

A mixed-methods study

Bibliographic Data

ID21879828
AuthorsJulian Natukunda (0000-0002-7541-3999, London School of Hygiene & Tropical Medicine), Keith Baleeta (0000-0001-6577-1269, Regional Health Integration to Enhance Services in East Central Uganda Activity (RHITES-EC) Project, University Research Co. LLC, Kampala, Uganda), Junko Kiriya (0000-0001-6862-7860, The University of Tokyo, corresponding author), Ken Ing Cherng Ong (0000-0001-7196-7671, Harvard University), Rogie Royce Carandang (0000-0001-6668-911X, University of Connecticut), Augustin Muhwezi (Regional Health Integration to Enhance Services in East Central Uganda Activity (RHITES-EC) Project, University Research Co. LLC, Kampala, Uganda), Akira Shibanuma (0000-0003-2058-1722, The University of Tokyo), Masamine Jimba (0000-0001-5659-3237, The University of Tokyo)
Year2024
Volume9
Issue8
Pagese015236
Publication date2024-08-01
Open AccessYes
TypeARTICLE
VenueBMJ Global Health (JOURNAL)
Journal identifiersISSN: 2059-7908 • E-ISSN: 2059-7908
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2024-015236
PMID39134343
OpenAlexW4401518598
LanguageEN
References cited42

BACKGROUND: HIV testing and starting antiretroviral therapy (ART) are pivotal in treating people living with HIV (PLHIV) but sustaining PLHIV on treatment remains challenging. We assessed retention and attrition in community client-led antiretroviral distribution groups (CCLADs) in Uganda and identified positive deviant practices that foster long-term retention. METHODS: Using explanatory mixed methods, we collected longitudinal medical data from 65 health facilities across 12 districts in East Central Uganda. Quantitative phase, from 18 April 2021 to 30 May 2021, employed survival analysis and Cox regression to assess retention and identify attrition risk factors. Qualitative inquiry focused on four districts with high attrition from 11 August 2021 to 20 September 2021, where we identified nine health facilities exhibiting high retention in CCLADs. We purposively selected 50 clients for in-depth interviews (n=22) or focus group discussions (n=28). Using thematic analysis, we identified positive deviant practices. We integrated quantitative and qualitative findings into joint displays. RESULTS: Involving 3055 PLHIV, the study showed retention rates of 97.5% at 6 months, declining to 89.7% at 96 months. Attrition risk factors were lower levels of care (health centre three (adjusted HR (aHR) 2.80, 95% CI 2.00 to 3.65) and health centre four (aHR 3.61, 95% CI 2.35 to 5.54)); being unemployed (aHR 2.21, 95% CI 1.00 to 4.84); enrolment year into CCLAD (aHR 23.93, 95% CI 4.66 to 123.05) and virological failure (aHR 3.41, 95% CI 2.51 to 4.63). Of 22 clients interviewed, 8 were positive deviants. Positive deviants were characterised by prolonged retention in CCLADs, improved clinical outcomes and practised uncommon behaviours that enabled them to find better solutions than their peers. Positive deviant practices included fostering family-like settings, offering financial or self-development advice, and promoting healthy lifestyles. CONCLUSIONS: Findings underscore the importance of addressing factors contributing to attrition and leveraging positive deviant practices to optimise retention and long-term engagement in HIV care

Antiretroviral therapy · Attrition · Family medicine · Focus group · Proportional hazards model · Qualitative property · Qualitative research · Thematic analysis · Viral load · Adolescent Sexual and Reproductive Health · Demography · Global Maternal and Child Health · HIV/AIDS Research and Interventions · Medicine · Gerontology · Internal Medicine

  • An Introduction to Fully Integrated Mixed Methods Research

    Elizabeth G Creamer•An Introduction to Fully…•2018

  • Partial residuals for the proportional hazards regression model

    David Schoenfeld•Biometrika•1982

  • The power of positive deviance

    Open Access•D Marsh, David R Marsh et al.•BMJ•2004

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    Open Access•Noora Shrestha•American Journal of Applied…•2020

  • Achieving Integration in Mixed Methods Designs—Principles and Practices

    Open Access•Michael D Fetters, Leslie A Curry et al.•Health Services Research•2013

  • Multiple imputation using chained equations

    Open Access•I R White, Patrick Royston et al.•Statistics in Medicine•2011

  • Consolidated criteria for reporting qualitative research (Coreq)

    A Jaure, A Tong et al.•International Journal for Quality…•2007

  • Retention in care among people living with HIV in the national antiretroviral therapy programme in Guinea

    Open Access•Kadio Jean-Jacques Olivier Kadio, Cissé Amadou et al.•PLOS Global Public Health•2023

  • Economic strengthening for HIV testing and linkage to care

    Marjorie Swann•AIDS Care•2018

  • Positive Deviance for Dual-Method Promotion among Women in Uganda

    Open Access•Hodaka Kosugi, Akira Shibanuma et al.•International Journal of…•2020

  • The correlates of safe sex practices among Rwandan youth

    Stella Babalola, David Awasum et al.•African Journal of AIDS Research•2002

  • Incidence and predictors of attrition from antiretroviral care among adults in a rural HIV clinic in Coastal Kenya

    Open Access•Amin S Hassan, Shalton Mwaringa et al.•BMC Public Health•2015

  • Mozambique’s Community Antiretroviral Therapy Support Group Program

    Open Access•Karen E Kun, Aleny Couto et al.•AIDS and Behavior•2019

  • Using a “Positive Deviance” Framework to Discover Adaptive Risk Reduction Behaviors Among High-Risk HIV Negative Black Men Who Have Sex with Men

    Open Access•Allison J Ober, Derek T Dangerfield et al.•AIDS and Behavior•2017

  • What Influences Saturation? Estimating Sample Sizes in Focus Group Research

    Open Access•Monique M Hennink, Monique Hennink et al.•Qualitative Health Research•2019

  • How Many Interviews Are Enough to Identify Metathemes in Multisited and Cross-cultural Research? Another Perspective on Guest, Bunce, and Johnson's (2006) Landmark Study

    Open Access•A K Hagaman, A Wutich•CAM•2017

  • Using Mixed-Methods Sequential Explanatory Design

    Open Access•Nataliya V Ivankova, John W Creswell et al.•CAM•2006

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