Evidence map›Paper›PMID 38266305›Full record

ArticleThe American journal of tropical medicine and hygiene2025

Identifying Strengths and Gaps in Data Management and Reporting through Malaria Routine Data Quality Assessment: Results from Two Health Regions in Madagascar.

Maurice Yé, Jean Marie N'Gbichi, Tokinirina Andrianantoandro, Sabas Rabesahala, Urbain Rabibizaka, Brune Estelle Ramiranirina, Omega Rabeola, Laurent Kapesa, Yazoumé Yé

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Observational
  4. Harnessing Malaria Surveillance Data for Transformative Malaria Control and Elimination.The American journal of tropical medicine and hygiene · 2025
    Article
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

9 authors.

Maurice YéU.S. President's Malaria Initiative Measure Malaria, University of North Carolina, Chapel Hill, North Carolina/ICF, Rockville, Maryland.
Jean Marie N'GbichiU.S. President's Malaria Initiative Measure Malaria, University of North Carolina, Chapel Hill, North Carolina/ICF, Rockville, Maryland.
Tokinirina AndrianantoandroU.S. President's Malaria Initiative Measure Malaria, University of North Carolina, Chapel Hill, North Carolina/ICF, Rockville, Maryland.
Sabas RabesahalaNational Malaria Control Program, Antananarivo, Madagascar.
Urbain RabibizakaNational Malaria Control Program, Antananarivo, Madagascar.
Brune Estelle RamiranirinaNational Malaria Control Program, Antananarivo, Madagascar.
Omega RabeolaNational Malaria Control Program, Antananarivo, Madagascar.
Laurent KapesaU.S. President's Malaria Initiative, Antananarivo, Madagascar.
Yazoumé YéU.S. President's Malaria Initiative Measure Malaria, University of North Carolina, Chapel Hill, North Carolina/ICF, Rockville, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2021, the U.S. President's Malaria Initiative Measure Malaria project provided support to the National Malaria Program to conduct a data quality assessment. The main goal was to help health centers enhance the quality of their malaria data. The assessment involved reviewing data from outpatient registers, monthly reports, and DHIS2 data. Reporting timeliness, completeness, data element completeness, and availability of source documents were assessed. For timeliness, the assessment measured the proportion of reports that were submitted on time out of the expected total. The results showed that the reporting timeliness was inadequate in Atsinanana (85%) and adequate for Atsimo-Andrefana (95%). Data elements completeness, which refers to reports without missing data, was inadequate in Atsinanana (43%) and Atsimo-Andrefana (68%). The availability of source documents, such as records forms, was assessed and found to be 59% in Atsimo-Andrefana and 48% in Atsinanana. The use of standard reporting forms, which ensures consistency and accuracy in reporting, was reported to be 44% in Atsinanana and 54% in Atsimo-Andrefana. Data discrepancies were identified between outpatient registers, monthly reports, and DHIS2 data. A verification factor (VF) was used to compare the figures in these different sources. The VF was 1.2 in Atsinanana and 1.1 in Atsimo-Andrefana for both monthly reports and DHIS2 data, indicating an overreporting of fever cases tested in 6- to 13-year-olds. Overall, the assessment revealed gaps in data elements completeness, reporting accuracy, and availability of data recording guidelines. The findings suggest that regular data quality assessments should be implemented to guide decision making in Madagascar.

Indexed as

Data AccuracyData ManagementEpidemiological MonitoringHealth Information ManagementHealth Information SystemsMalariaDisease NotificationHumansPilot ProjectsPractice Guidelines as TopicProfessional Practice Gaps

Identifiers

PMID38266305
PMCPMC11720680

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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.