Evidence map›Paper›PMID 41899685›Full record

ArticleInternational journal of environmental research and public health2026

Scoping Review of the Models for Case-Based Health Programs in Africa: Towards Case-Based Surveillance for HIV in Lesotho.

Maletsatsi E Motebang, Puleng Ramphalla, Joyce Tsoka-Gwegweni

Abstract readScoping Review
In one paragraph

Article in International journal of environmental research and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Maletsatsi E MotebangDepartment of Public Health, Faculty of Health Sciences, University of the Free State, Bloemfontein Campus, Bloemfontein 9300, South Africa.ORCID 0000-0002-5935-0027
Puleng RamphallaDepartment of Public Health, Faculty of Health Sciences, University of the Free State, Bloemfontein Campus, Bloemfontein 9300, South Africa.ORCID 0000-0003-2383-5281
Joyce Tsoka-GwegweniDepartment of Public Health, Faculty of Health Sciences, University of the Free State, Bloemfontein Campus, Bloemfontein 9300, South Africa.ORCID 0000-0002-4888-1973

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The review aims at exploring models for case-base health programs across Africa that could best help Lesotho succeed in its efforts to establish a case-based surveillance (CBS) system for their HIV program. The review involves looking through several sources and databases including EBSCOHOST, Google Scholar, Science Direct and PubMed. The insights of suitable models were from the following Africa countries: South Africa, Kenya, Guinea, Tanzania, Ghana, Mozambique and Zambia. The study articles were published within the last 10 years, specifically from 2014 to 2024. This range was used as part of their inclusion criteria to ensure relevance of the articles. The studied models focused on infectious diseases such as measles, HIVand COVID-19. The key takeaway is that setting up electronic medical records systems (EMRs) is critical as a first step for any effective CBS. Using unique identifiers, establishing clear data governance policies and building strong infrastructure is a necessity in making CBS work. For a successful establishment of CBS, Lesotho should adopt these strategies that can be sustainable, improve disease tracking, response and ultimately health outcomes for Basotho.

Indexed as

HIV InfectionsPopulation SurveillanceHumansLesothoPublic Health Infrastructurecase-based surveillanceHIV and surveillanceinfectious diseases surveillanceLesotho and Africapatient-level health systems

Identifiers

PMID41899685
PMCPMC13026963

What OpenQuestion holds

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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.