Evidence map›Paper›PMID 35290369›Full record

SynthesisPLoS medicine2022

Interventions to reengage people living with HIV who are lost to follow-up from HIV treatment programs: A systematic review and meta-analysis.

Ali Mirzazadeh, Ingrid Eshun-Wilson, Ryan R Thompson, Atousa Bonyani, James G Kahn, Stefan D Baral, Sheree Schwartz, George Rutherford, Elvin H Geng

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06803316 (Optimizing Care Delivery to Support Reengagement in PLWH Returning to HIV Care After Treatment Lapses in Zambia), which is not on this map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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.

NCT06803316 completednot on this map

Optimizing Care Delivery to Support Reengagement in PLWH Returning to HIV Care After Treatment Lapses in Zambia

Typeobservational_patient_registrySponsorCentre for Infectious Disease Research in ZambiaRan2022 to 2025Enrolled658ConditionsHIV Antiretroviral Therapy (ART) Adherence
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Ali MirzazadehDivision of Infectious Disease and Global Epidemiology, Department of Epidemiology and Biostatistics, and Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, United States of America.ORCID 0000-0002-0478-3220
Ingrid Eshun-WilsonDivision of Infectious Diseases, School of Medicine, Washington University at St Louis, St Louis, Missouri, United States of America.ORCID 0000-0002-4049-9868
Ryan R ThompsonFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, California, United States of America.ORCID 0000-0001-6965-7770
Atousa BonyaniWorld Health Organization, Tehran, Iran.
James G KahnUniversity of California San Francisco, San Francisco, California, United States of America.ORCID 0000-0002-1259-7233
Stefan D BaralDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-5482-2419
Sheree SchwartzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0001-6090-2880
George RutherfordDivision of Infectious Disease and Global Epidemiology, Department of Epidemiology and Biostatistics, and Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, United States of America.ORCID 0000-0002-0707-8287
Elvin H GengDivision of Infectious Diseases, School of Medicine, Washington University at St Louis, St Louis, Missouri, United States of America.ORCID 0000-0002-0825-1424

Funding

Washington University Institute of Clinical and Translational Sciences (KL2) KL2TR002346 · NCATS · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 2017 to 2026
$14.0M
Making Better Decisions: Policy Modeling for AIDS and Drug AbuseR37DA015612 · NIDA · STANFORD UNIVERSITY · PI DOUGLAS K OWENS · 2019 to 2026
$6.3M
MENTORING MULTIDISCIPLINARY PATIENT-ORIENTED RESEARCH IN ENGAGEMENT IN HIV CAREK24AI134413 · NIAID · WASHINGTON UNIVERSITY · PI Elvin H. Geng · 2017 to 2026
$1.4M
NCATS NIH HHS KL2 TR002346NIAID NIH HHS K24 AI134413NIDA NIH HHS R37 DA015612World Health Organization 001
6 · The paper itself

Abstract

backgroundOptimizing services to facilitate engagement and retention in care of people living with HIV (PLWH) on antiretroviral therapies (ARTs) is critical to decrease HIV-related morbidity and mortality and HIV transmission. We systematically reviewed the literature for the effectiveness of implementation strategies to reestablish and subsequently retain clinical contact, improve viral load suppression, and reduce mortality among patients who had been lost to follow-up (LTFU) from HIV services. METHODS AND

findingsWe searched 7 databases (PubMed, Cochrane, ERIC, PsycINFO, EMBASE, Web of Science, and the WHO regional databases) and 3 conference abstract archives (CROI, IAC, and IAS) to find randomized trials and observational studies published through 13 April 2020. Eligible studies included those involving children and adults who were diagnosed with HIV, had initiated ART, and were subsequently lost to care and that reported at least one review outcome (return to care, retention, viral suppression, or mortality). Data were extracted by 2 reviewers, with discrepancies resolved by a third. We characterized reengagement strategies according to how, where, and by whom tracing was conducted. We explored effects, first, among all categorized as LTFU from the HIV program (reengagement program effect) and second among those found to be alive and out of care (reengagement contact outcome). We used random-effect models for meta-analysis and conducted subgroup analyses to explore heterogeneity. Searches yielded 4,244 titles, resulting in 37 included studies (6 randomized trials and 31 observational studies). In low- and middle-income countries (LMICs) (N = 16), tracing most frequently involved identification of LTFU from the electronic medical record (EMR) and paper records followed by a combination of telephone calls and field tracing (including home visits), by a team of outreach workers within 3 months of becoming LTFU (N = 7), with few incorporating additional strategies to support reengagement beyond contact (N = 2). In high-income countries (HICs) (N = 21 studies), LTFU were similarly identified through EMR systems, at times matched with other public health records (N = 4), followed by telephone calls and letters sent by mail or email and conducted by outreach specialist teams. Home visits were less common (N = 7) than in LMICs, and additional reengagement support was similarly infrequent (N = 5). Overall, reengagement programs were able to return 39% (95% CI: 31% to 47%) of all patients who were characterized as LTFU (n = 29). Reengagement contact resulted in 58% (95% CI: 51% to 65%) return among those found to be alive and out of care (N = 17). In 9 studies that had a control condition, the return was higher among those in the reengagement intervention group than the standard of care group (RR: 1.20 (95% CI: 1.08 to 1.32, P < 0.001). There were insufficient data to generate pooled estimates of retention, viral suppression, or mortality after the return.

conclusionsWhile the types of interventions are markedly heterogeneity, reengagement interventions increase return to care. HIV programs should consider investing in systems to better characterize LTFU to identify those who are alive and out of care, and further research on the optimum time to initiate reengagement efforts after missed visits and how to best support sustained reengagement could improve efficiency and effectiveness.

Indexed as

HIV InfectionsLost to Follow-UpAdultChildHumansIncomeViral LoadWorld Health Organization

Identifiers

PMID35290369
PMCPMC8923443

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Registered trials

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.