Evidence map›Paper›PMID 36917568›Full record

ArticlePloS one2023

Attrition from HIV treatment after enrollment in a differentiated service delivery model: A cohort analysis of routine care in Zambia.

Youngji Jo, Lise Jamieson, Bevis Phiri, Anna Grimsrud, Muya Mwansa, Hilda Shakwelele, Prudence Haimbe, Mpande Mukumbwa-Mwenechanya, Priscilla Lumano Mulenga, Brooke E Nichols and 1 more

Full text read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Youngji JoDepartment of Medicine, Section of Infectious Diseases, Boston Medical Center, Boston, MA, United States of America.
Lise JamiesonDepartment of Internal Medicine, Health Economics and Epidemiology Research Office, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Bevis PhiriClinton Health Access Initiative, Lusaka, Zambia.
Anna GrimsrudHIV Programmes and Advocacy, International AIDS Society, Cape Town, South Africa.ORCID 0000-0002-1199-8377
Muya MwansaMinistry of Health, Lusaka, Zambia.
Hilda ShakweleleClinton Health Access Initiative, Lusaka, Zambia.
Prudence HaimbeClinton Health Access Initiative, Lusaka, Zambia.
Mpande Mukumbwa-MwenechanyaCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Priscilla Lumano MulengaMinistry of Health, Lusaka, Zambia.
Brooke E NicholsDepartment of Internal Medicine, Health Economics and Epidemiology Research Office, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Sydney RosenDepartment of Internal Medicine, Health Economics and Epidemiology Research Office, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0002-6560-2964

Funding

Optimal Medication Dispensing for People Living with HIV with and without Other Chronic Diseases in Zambia: A Mathematical ModelF32MH128120 · NIMH · BOSTON MEDICAL CENTER · PI JO, YOUNGJI · 2021 to 2022
$150k
NIMH NIH HHS F32 MH128120
6 · The paper itself

Abstract

backgroundMany sub-Saharan Africa countries are scaling up differentiated service delivery (DSD) models for HIV treatment to increase access and remove barriers to care. We assessed factors associated with attrition after DSD model enrollment in Zambia, focusing on patient-level characteristics.

methodsWe conducted a retrospective record review using electronic medical records (EMR) of adults (≥15 years) initiated on antiretroviral (ART) between 01 January 2018 and 30 November 2021. Attrition was defined as lost to follow-up (LTFU) or died by November 30, 2021. We categorized DSD models into eight groups: fast-track, adherence groups, community pick-up points, home ART delivery, extended facility hours, facility multi-month dispensing (MMD, 4-6-month ART dispensing), frequent refill care (facility 1-2 month dispensing), and conventional care (facility 3 month dispensing, reference group). We used Fine and Gray competing risk regression to assess patient-level factors associated with attrition, stratified by sex and rural/urban setting.

resultsOf 547,281 eligible patients, 68% (n = 372,409) enrolled in DSD models, most commonly facility MMD (n = 306,430, 82%), frequent refill care (n = 47,142, 13%), and fast track (n = 14,433, 4%), with <2% enrolled in the other DSD groups. Retention was higher in nearly all DSD models for all dispensing intervals, compared to the reference group, except fast track for the ≤2 month dispensing group. Retention benefits were greatest for patients in the extended clinic hours group and least for fast track dispensing.

conclusionAlthough retention in HIV treatment differed by DSD type, dispensing interval, and patient characteristics, nearly all DSD models out-performed conventional care. Understanding the factors that influence the retention of patients in DSD models could provide an important step towards improving DSD implementation.

Indexed as

Anti-HIV AgentsHIV InfectionsAdultAnti-Retroviral AgentsCohort StudiesHumansRetrospective StudiesZambiaAnti-HIV AgentsAnti-Retroviral Agents

Identifiers

PMID36917568
PMCPMC10013882

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read229
identifiers read6
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.