Evidence map›Paper›PMID 36962304›Full record

ArticlePLOS global public health2022

Investigating clinic transfers among HIV patients considered lost to follow-up to improve understanding of the HIV care cascade: Findings from a cohort study in rural north-eastern South Africa.

David Etoori, Chodziwadziwa Whiteson Kabudula, Alison Wringe, Brian Rice, Jenny Renju, Francesc Xavier Gomez-Olive, Georges Reniers

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Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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.

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

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

  1. Pooled it
  2. Trial
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  10. Observational
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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

7 authors.

David EtooriLondon School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-2807-6272
Chodziwadziwa Whiteson KabudulaMRC/WITS Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-5867-0336
Alison WringeLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Brian RiceLondon School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-5416-8058
Jenny RenjuLondon School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0001-5650-1902
Francesc Xavier Gomez-OliveMRC/WITS Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-4876-0848
Georges ReniersLondon School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0001-6582-1692

Funding

Medical Research Council MR/P014313/1
6 · The paper itself

Abstract

Investigating clinical transfers of HIV patients is important for accurate estimates of retention and informing interventions to support patients. We investigate transfers for adults reported as lost to follow-up (LTFU) from eight HIV care facilities in the Agincourt health and demographic surveillance system (HDSS), South Africa. Using linked clinic and HDSS records, outcomes of adults more than 90 days late for their last scheduled clinic visit were determined through clinic and routine tracing record reviews, HDSS data, and supplementary tracing. Factors associated with transferring to another clinic were determined through Cox regression models. Transfers were graphically and geospatially visualised. Transfers were more common for women, patients living further from the clinic, and patients with higher baseline CD4 cell counts. Transfers to clinics within the HDSS were more likely to be undocumented and were significantly more likely for women pregnant at ART initiation. Transfers outside the HDSS clustered around economic hubs. Patients transferring to health facilities within the HDSS may be shopping for better care, whereas those who transfer out of the HDSS may be migrating for work. Treatment programmes should facilitate transfer processes for patients, ensure continuity of care among those migrating, and improve tracking of undocumented transfers.

Identifiers

PMID36962304
PMCPMC10022370

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LicenceCC BY
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identifiers read6
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Registered trials

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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.