Evidence map›Paper›PMID 36601790›Full record

ArticleHealth informatics journal

Progress towards unique patient identification and case-based surveillance within the Southern African development community.

Kerensa Govender, Lawrence Long, Jacqui Miot

Abstract read
In one paragraph

Article in Health informatics journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

3 authors.

Kerensa GovenderFaculty of Health Sciences, 37708University of the Witwatersrand, Johannesburg, South Africa; Health Economics and Epidemiology Research Office (HE2RO), Wits Health Consortium, 37708University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0003-2412-2355
Lawrence LongFaculty of Health Sciences, 37708University of the Witwatersrand, Johannesburg, South Africa; Health Economics and Epidemiology Research Office (HE2RO), Wits Health Consortium, 37708University of the Witwatersrand, Johannesburg, South Africa; Department of Global Health, 27118Boston University School of Public Health, Boston, MA, USA.
Jacqui MiotFaculty of Health Sciences, 37708University of the Witwatersrand, Johannesburg, South Africa; Health Economics and Epidemiology Research Office (HE2RO), Wits Health Consortium, 37708University of the Witwatersrand, Johannesburg, South Africa.

Funding

Using behavioral economics to improve the uptake of and persistence on pre-exposure prophylaxis in men who have sex with men to prevent HIV infectionK01MH119923 · NIMH · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LONG, LAWRENCE CAMDON · 2020 to 2024
$865k
NIMH NIH HHS K01 MH119923
6 · The paper itself

Abstract

Population mobility makes patient-tracking and care linkage in the South African Development Community (SADC) challenging. Case-based surveillance (CBS) through individual-level clinical data linked with a unique patient-identifier (UPI) is recommended. We conducted a mixed-methods landscape analysis of UPI and CBS implementation within selected SADC countries, this included: (1) SADC UPI implementation literature review; (2) assessment of UPI and CBS implementation for high HIV-prevalence SADC countries; (3) UPI implementation case-study in selected South African primary healthcare (PHC) facilities. Research into CBS and UPI implementation for the SADC region is lacking. Existing patient-identification methods often fail and limit patient-tracking. Paper-based records and poor integration between health-information systems further restrict patient-tracking. Most countries were in the early-middle stages of CBS and faced UPI challenges. Our South African case-study found that the UPI often goes uncaptured. Difficulties tracking patients across prevention and care cascades will continue until a functional and reliable UPI is available.

Indexed as

case-based surveillancehealth-systems strengtheninglinkagepatient trackingunique patient identifier

Identifiers

PMID36601790
PMCPMC10311353

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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.