Evidence map›Paper›PMID 40659393›Full record

ArticleBMJ open2025

Comparative analysis of HIV data completeness in Haiti's iSanté Plus Electronic Medical Record system across children, adolescents and adults: a cross-sectional evaluation of 2016-2022 data.

Beryne Odeny, Jean Guy Honoré, Jean Gabriel Balan, James P Hughes, Bradley Wagenaar, Stephen Gloyd, Kemar Célestin, Marinho Elisma, Kesner Francois, Nancy Puttkammer

Abstract readComparative Study
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Beryne OdenyDepartment of Surgery, Washington University in St Louis, St Louis, Missouri, USA beryne@wustl.edu.ORCID http://orcid.org/0000-0002-4429-2274
Jean Guy HonoréCentre Haïtien pour le Renforcement du Système de Santé (CHARESS), Port-au-Prince, Haiti.
Jean Gabriel BalanCentre Haïtien pour le Renforcement du Système de Santé (CHARESS), Port-au-Prince, Haiti.
James P HughesUniversity of Washington, Seattle, Washington, USA.
Bradley WagenaarUniversity of Washington, Seattle, Washington, USA.
Stephen GloydDepartment of Global Health, University of Washington, Seattle, Washington, USA.
Kemar CélestinCentre Haïtien pour le Renforcement du Système de Santé (CHARESS), Port-au-Prince, Haiti.
Marinho ElismaCentre Haïtien pour le Renforcement du Système de Santé (CHARESS), Port-au-Prince, Haiti.
Kesner FrancoisProgramme National de Lutte contre le VIH/SIDA (PNLS), Port-au-Prince, Haiti.
Nancy PuttkammerI-TECH, Department of Global HEalth, University of Washington School of Public Health, Seattle, Washington, USA.ORCID http://orcid.org/0000-0002-6693-9278

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate and compare documentation completeness of HIV-related data by age group (children, adolescents and adults) in Haiti's Electronic Medical Record (EMR) system.

designCross-sectional evaluation.

settingEMR data for 36 965 enrolment visits, and 123 608 return visits from 58 facilities in Haiti (from 2016 to 2022).

participantsChildren, adolescents and adults accessing HIV care and treatment services in Haiti. MAIN EXPOSURE MEASURE: Health facility attendance for HIV-related healthcare.

main outcome measureLevel of data completeness, as a measure of data quality. We developed Composite Completeness Scores (CCS scores) to measure data completeness. Lower scores meant lower completeness. Generalised linear models were used to investigate factors associated with completeness.

resultsAt the enrolment visit, most patients were adults (81.6%) and female (56.7%). Most facilities were health centres (75.9%). The overall average enrolment visit CCS score was 54.0%. At enrolment, being a child (CCS score difference=-7.08, 95% CI: -11.31 to -2.86) and a more recent year of enrolment (-6.01, 95% CI: -11.69 to -0.33) were significantly associated with lower completeness scores than being an adult and having an earlier year of enrolment, respectively. The overall average return visit CCS score was 49.6%. At the return visit, children (-6.76, 95% CI: -10.07 to -3.45) had significantly lower average completeness scores than adults. For first viral load documentation, children had lower odds of completeness compared with adults (adjusted OR=0.21, 95% CI: 0.16 to 0.28). Sex, year of enrolment, facility ownership (public, private, mixed), total patient volume and duration of EMR use were not significantly associated with completeness of documentation at the enrolment and return visits.

conclusionsWe observed disparities in electronic data completeness by age group, which may be indicative of digital health disparities. Documentation was particularly poor among children and declined over time for enrolment visits. Further research is needed to understand and address these documentation gaps.

Indexed as

Data AccuracyElectronic Health RecordsHIV InfectionsAdolescentAdultChildChild, PreschoolCross-Sectional StudiesFemaleHaitiHumansMaleMiddle AgedYoung AdultElectronic Health RecordsHIV & AIDSInformation managementPaediatric infectious disease & immunisation

Identifiers

PMID40659393
PMCPMC12258347

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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.