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- Title
Longitudinal record linkage in sub-Saharan Africa countries: recommendations for healthcare research.
- Authors
Mboya, Innocent B.; Teleka, Stanley; Kagoye, Sophia; Mosha, Neema R.; Safari, Wende C.
- Abstract
Background: The use of unique national personal identification numbers (PIN) for linkage of medical records across health facilities and population-based studies is limited in sub-Saharan Africa (SSA) countries. The disintegration of healthcare research with different participant identifiers creates methodological challenges in linking data from multiple sources to answer a diverse range of policy-relevant, clinical, administrative, and research questions. This commentary aims to provide recommendations for improved linkage of health services data in SSA for healthcare research. Main text: Linkage of health services data is a complex process that requires health system thinking, multisectoral collaboration between the public and private sectors, and long-term investments. We recommend transitioning from paper-based healthcare data collection and storage systems, at health facility and population levels, to the use of electronic computer-assisted systems and a focus on improved data quality. SSA countries implementing this transition will benefit from additional technical and financial support. At the health-facility level, change from collecting aggregated to individual-level data. The use of PIN across multiple data sources is paramount, in addition to clear and transparent legal and ethical data protection and sharing guidelines, centralized data linkage by the governments, and partnerships with the private sector. Conclusion: High-quality linked data in SSA are scarce. SSA countries should prioritize establishing a robust foundation for high-quality data collection and future linkage.
- Subjects
SUB-Saharan Africa; MEDICAL care research; DIGITAL technology; HEALTH services accessibility; INTERPROFESSIONAL relations; PUBLIC sector; MEDICAL record linkage; PRIVATE sector; ELECTRONIC health records; CONTENT mining; HEALTH information systems
- Publication
Discover Public Health, 2024, Vol 21, Issue 1, p1
- ISSN
3005-0774
- Publication type
Editorial
- DOI
10.1186/s12982-024-00128-7