ReviewDigital health
Reforming Uganda's digital health data systems: A policy analysis for inclusive, equitable, and decolonised data governance.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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.
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0 citing papers in PubMed.
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Authors and funding
4 authors.
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Abstract
Uganda has rapidly digitised many health services, but persistent challenges in data governance - including fragmented systems, variable data quality, and the exclusion of vulnerable populations - hinder effective care and equity. This analysis reviews recent developments (2023-2025) in Uganda's digital health policy and practice, drawing on strategy documents, conference reports, and stakeholder input. It highlights how the COVID-19 pandemic accelerated innovation while exposing systemic weaknesses. For example, the Ministry of Health's (MoH) 2023 strategy explicitly targets data accessibility and integration, and the 2024 guidelines standardise management across the sector. Yet, execution gaps remain due to resource constraints and organisational silos. This article proposes an inclusive data governance framework with five pillars (inclusive governance, equity, interoperability, privacy, and capacity) and recommends concrete actions. By adopting these reforms, Uganda can transform its digital health systems into people-centred, equitable platforms that build trust, protect rights, and advance universal health coverage.
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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 Socratic graph.