Concordance of data on key malaria indicators between DHIS2 and source documents, and influencing factors at public primary health facilities in eastern Uganda: a mixed methods study

Data concordance between DHIS2 and source documents was below the World Health Organisation (WHO) performance standard of ≥ 80% on key malaria indicators. Presence of data clerks, and timely reporting were identified as the factors that improved data concordance. To improve the quality and timeliness of the DHIS2, having trained data staff at public health facilities is key. Alternatively, electronic primary data capture may help in reducing errors that arise during data capturing and aggregation.

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Publication Details

Journal
Malaria Journal
Published
2025-08-20
DOI
https://doi.org/10.1186/s12936-025-05519-y
Primary Topic
Viral Infections and Outbreaks Research
Type
article
Field-Weighted Citation Impact
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article

Concordance of data on key malaria indicators between DHIS2 and source documents, and influencing factors at public primary health facilities in eastern Uganda: a mixed methods study

Joan N. Kalyango, Jovan Mugerwa, John Mukisa, Joaniter I. Nankabirwa et al.
Malaria Journal
Viral Infections and Outbreaks Research
article

Concordance of data on key malaria indicators between DHIS2 and source documents, and influencing factors at public primary health facilities in eastern Uganda: a mixed methods study

Joan N. Kalyango, Jovan Mugerwa, John Mukisa, Joaniter I. Nankabirwa, Laban Muteebwa, Emmanuel Arinaitwe, David Livingstone Ejalu, Bosco Agaba, David Mukunya, Charles Batte, Moses Robert Kamya, Arthur Mpimbaza, Shivan Nuwasiima, Elizabeth Nagawa, Faizo Kiberu
article en

Abstract

Data concordance between DHIS2 and source documents was below the World Health Organisation (WHO) performance standard of ≥ 80% on key malaria indicators. Presence of data clerks, and timely reporting were identified as the factors that improved data concordance. To improve the quality and timeliness of the DHIS2, having trained data staff at public health facilities is key. Alternatively, electronic primary data capture may help in reducing errors that arise during data capturing and aggregation.

Malaria JournalVol. 24(1)
Busitema University (UG), Ministry of Health (UG), Infectious Diseases Research Collaboration (UG), World Health Organization - Uganda (UG), Makerere University (UG)
Openalex Percentile: Top 74%
Viral Infections and Outbreaks Research
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Concordance of data on key malaria indicators between DHIS2 and source documents, and influencing factors at public primary health facilities in eastern Uganda: a mixed methods study — Joan N. Kalyango, Jovan Mugerwa, et al. · Malaria Journal (2025) | TGRS Research Map | TGRS