Evidence map›Paper›PMID 41869589›Full record

ArticleFrontiers in public health2026

Optimizing adolescent HIV care: a review of EMR system quality for clinical monitoring in Zambia.

Kaala Moomba, Brian Van Wyk

Abstract read
In one paragraph

Article in Frontiers in 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

2 authors.

Kaala MoombaSchool of Public Health, Faculty of Community and Health Sciences, University of the Western Cape, Cape Town, South Africa.
Brian Van WykSchool of Public Health, Faculty of Community and Health Sciences, University of the Western Cape, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adolescents living with HIV (ALHIV) in Zambia experience poorer treatment outcomes than adults, with lower viral suppression and higher loss to follow-up rates. Electronic medical record (EMR) systems such as SmartCare aim to strengthen patient monitoring, but their utility is contingent on high data quality. Accurate monitoring of ALHIV treatment outcomes is critical for improving patient care and supporting progress toward UNAIDS 95-95-95 targets. We conducted a retrospective cross-sectional review of EMR data for ALHIV on antiretroviral therapy in selected Lusaka facilities (January-December 2023). Data were extracted from SmartCare and assessed using the WHO Routine Data Quality Assessment framework across three dimensions: completeness, correctness, and consistency. Records from 3,978 ALHIV were analysed. Socio-demographic variables (gender, date of birth, age at ART initiation) and treatment data (ARV regimen) performed strongly, with ≥98% completeness, correctness, and consistency. In contrast, clinical variables showed substantial gaps. Completeness for baseline (

Indexed as

Anti-HIV AgentsElectronic Health RecordsHIV InfectionsAdolescentCross-Sectional StudiesFemaleHumansMaleRetrospective StudiesZambiaAnti-HIV Agentsadolescentsclinicaldata qualityelectronic medical recordsHIVretentionviral suppressionZambia

Identifiers

PMID41869589
PMCPMC13002788

What OpenQuestion holds

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LicenceCC BY
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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.