ReviewClinicoEconomics and outcomes research : CEOR2025
Comparative Effectiveness of DHIS2 and FAIR Data Approaches for Privacy-Preserving Health Data Analytics in Uganda: A Systematic Review.
Review in ClinicoEconomics and outcomes research : CEOR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Uganda's digital health transformation anchored on District Health Information Software 2 (DHIS2) and the FAIR (Findable, Accessible, Interoperable, Reusable) Data Principles has reshaped health data governance. Nevertheless, systemic constraints in privacy, infrastructure, and human resources threaten sustainability and equity. Objective: To compare DHIS2 and FAIR-based approaches on (i) privacy protection, (ii) interoperability and data usability, and (iii) regulatory/institutional readiness for privacy-preserving health data analytics in Uganda. Methods: Systematic review of 84 peer-reviewed and grey-literature sources (2010-2025) following PRISMA 2020; extracted indicators on reuse, interoperability, privacy, and institutional readiness. Results: 36% of included studies were Uganda-specific; 50% were published in 2020-2024. DHIS2 reached near-national coverage, ~12,000 trained users, and integration across >20 programmes. Persistent gaps include limited rural internet (≈12% of facilities with stable connectivity), high staff turnover (~35%), and low analytics literacy (~25% with intermediate skills). FAIR efforts (since ~2019) remain early: ~10% of institutions with formal policies; low dataset reuse (~22%), machine-readable metadata (~18%), and documented digital consent (<10%). Privacy infrastructure is weak: <30% of facilities with formal privacy frameworks/secure platforms and <10% with Data Protection Officers. Conclusion: DHIS2 improved reporting and availability, while FAIR initiatives began enabling governed, interoperable reuse. To achieve ethical analytics at scale, priorities are legal enforcement, secure rural ICT, standardized machine-readable metadata/consent, and workforce development.
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Registered trials
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.