Linkage of Hospital and Community level records for Epidemiological Research: Experiences from Kagando Health and Demographic Surveillance System  in Western Uganda

BackgroundLinkage of census data and hospital records is crucial in conducting epidemiological research to inform public health decisions. In this study, we share our experiences in linking community-level data collected through census with hospital records and highlight the challenges and opportunities from our engagements with stakeholders. MethodologyWe undertook engagements with Uganda Christian University Ethics Research Committee, Hospital Management, and Community Health Volunteers to set up a platform to integrate hospital and census records using key identifiers. Trained data clerks prospectively linked data during patients’ visits following the data protection guidelines. ResultsFrom a population of approximately 30,000 people, we managed to link 1000 records within three months. Lessons learnt and opportunities: It is possible to link data with a set of identifiers, not only relying on common identifiers, especially for communities where ownership of a national identity card or birth certificate is not universal. Building stakeholder partnerships is essential, and frequent meetings with the hospital staff, epidemiologists and data programmers helped to identify problems and solutions. ChallengesLack of local capacity at the health facilities to develop linkage platforms. However, after development they can efficiently run the program. Frequent changes in the versions of the electronic system were later resolved. RecommendationsThere is a need to conduct regular capacity building for stakeholders to help them understand the importance of data linkage. ConclusionPublic engagement is an ethical imperative that enhances the quality, credibility, and long-term impact of research by incorporating the perspectives of the communities being studied.

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Publication Details

Journal
International Journal for Population Data Science
Published
2024-09-10
DOI
https://doi.org/10.23889/ijpds.v9i5.2709
Primary Topic
Global Maternal and Child Health
Type
article
Field-Weighted Citation Impact
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article

Linkage of Hospital and Community level records for Epidemiological Research: Experiences from Kagando Health and Demographic Surveillance System  in Western Uganda

Caroline H. Karugu, Gershim Asiki, H. Mulindwa, Magdaline Kusuna et al.
International Journal for Population Data Science
Global Maternal and Child Health
article

Linkage of Hospital and Community level records for Epidemiological Research: Experiences from Kagando Health and Demographic Surveillance System  in Western Uganda

Caroline H. Karugu, Gershim Asiki, H. Mulindwa, Magdaline Kusuna, Asinja Kapuru, Daniel Maina
article en

Abstract

BackgroundLinkage of census data and hospital records is crucial in conducting epidemiological research to inform public health decisions. In this study, we share our experiences in linking community-level data collected through census with hospital records and highlight the challenges and opportunities from our engagements with stakeholders. MethodologyWe undertook engagements with Uganda Christian University Ethics Research Committee, Hospital Management, and Community Health Volunteers to set up a platform to integrate hospital and census records using key identifiers. Trained data clerks prospectively linked data during patients’ visits following the data protection guidelines. ResultsFrom a population of approximately 30,000 people, we managed to link 1000 records within three months. Lessons learnt and opportunities: It is possible to link data with a set of identifiers, not only relying on common identifiers, especially for communities where ownership of a national identity card or birth certificate is not universal. Building stakeholder partnerships is essential, and frequent meetings with the hospital staff, epidemiologists and data programmers helped to identify problems and solutions. ChallengesLack of local capacity at the health facilities to develop linkage platforms. However, after development they can efficiently run the program. Frequent changes in the versions of the electronic system were later resolved. RecommendationsThere is a need to conduct regular capacity building for stakeholders to help them understand the importance of data linkage. ConclusionPublic engagement is an ethical imperative that enhances the quality, credibility, and long-term impact of research by incorporating the perspectives of the communities being studied.

International Journal for Population Data ScienceVol. 9(5)
Kagando Hospital (UG), African Population and Health Research Center (KE)
Openalex Percentile: Top 76%
Global Maternal and Child Health
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