Evidence map›Paper›PMID 32406961›Full record

ArticleTropical medicine & international health : TM & IH2020

Estimating retention in HIV care accounting for clinic transfers using electronic medical records: evidence from a large antiretroviral treatment programme in the Western Cape, South Africa.

Angela M Bengtson, Christopher Colvin, Kipruto Kirwa, Morna Cornell, Mark N Lurie

Abstract read
In one paragraph

Article in Tropical medicine & international health : TM & IH, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  6. Evaluation of the impact of PEPFAR transition on retention in care in South Africa's Western Cape Province.South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde · 2023
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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

5 authors.

Angela M BengtsonDepartment of Epidemiology, Brown University, Providence, RI, USA.
Christopher ColvinDepartment of Epidemiology, Brown University, Providence, RI, USA.
Kipruto KirwaDepartment of Environmental Health Engineering, Tufts University, Medford, MA, USA.
Morna CornellCentre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa.
Mark N LurieDepartment of Epidemiology, Brown University, Providence, RI, USA.

Funding

Using Information to Align Services and Link and Retain Men in the HIV CascadeR01MH106600 · NIMH · UNIVERSITY OF CAPE TOWN · PI COLVIN, CHRISTOPHER JAMES, LURIE, MARK NATHAN · 2015 to 2019
$2.1M
Partnerships for the Next Generation of HIV Social Science in South AfricaR24HD077976 · NICHD · BROWN UNIVERSITY · PI COLVIN, CHRISTOPHER JAMES, LURIE, MARK NATHAN · 2013 to 2017
$1.9M
Building Research in Inter-Disciplinary Gender and HIV through the Social Sciences (The BRIDGES Programme)D43TW011308 · FIC · UNIVERSITY OF CAPE TOWN · PI COLVIN, CHRISTOPHER JAMES · 2019 to 2023
$1.7M
An Implementation Science Approach to Monitoring Engagement in HIV CareR00MH112413 · NIMH · BROWN UNIVERSITY · PI BENGTSON, ANGELA · 2019 to 2021
$747k
FIC NIH HHS D43 TW011308National Institute of Child Health and Development 1R24HD077976NICHD NIH HHS R24 HD077976NIMH NIH HHS D43 TW011308NIMH NIH HHS R00 MH112413NIMH NIH HHS R00MH112413NIMH NIH HHS R01 MH106600NIMH NIH HHS R01MH106600South African Medical Research Council
6 · The paper itself

Abstract

backgroundEstimates of retention in antiretroviral treatment (ART) programmes may be biased if patients who transfer to healthcare clinics are misclassified as lost to follow-up (LTFU) at their original clinic. In a large cohort, we estimated retention in care accounting for patient transfers using medical records.

methodsUsing linked electronic medical records, we followed adults living with HIV (PLWH) in Cape Town, South Africa from ART initiation (2012-2016) through database closure at 36 months or 30 June 2016, whichever came first. Retention was defined as alive and with a healthcare visit in the 180 days between database closure and administrative censoring on 31 December 2016. Participants who died or did not have a healthcare visit in > 180 days were censored at their last healthcare visit. We estimated the cumulative incidence of retention using Kaplan-Meier methods considering (i) only records from a participant's ART initiation clinic (not accounting for transfers) and (ii) all records (accounting for transfers), over time and by gender. We estimated risk differences and bootstrapped 95% confidence intervals to quantify misclassification in retention estimates due to patient transfers.

resultsWe included 3406 PLWH initiating ART. Retention through 36 months on ART rose from 45.4% (95% CI 43.6%, 47.2%) to 54.3% (95% CI 52.4%, 56.1%) after accounting for patient transfers. Overall, 8.9% (95% CI 8.1%, 9.7%) of participants were misclassified as LTFU due to patient transfers.

conclusionsPatient transfers can appreciably bias estimates of retention in HIV care. Electronic medical records can help quantify patient transfers and improve retention estimates.

Indexed as

Lost to Follow-UpAdolescentAdultAnti-Retroviral AgentsCohort StudiesDatabases, FactualElectronic Health RecordsFemaleHIV InfectionsHumansMaleMiddle AgedPatient TransferRetention in CareSouth AfricaYoung AdultAnti-Retroviral Agentsattritionengagement in HIV careHIVloss to follow-uppatient transferretention in carevalidation

Identifiers

PMID32406961
PMCPMC8841816

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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.