ArticleBMJ health & care informatics2026
Consolidation of health data to improve health data governance using the Multi-Source Data Analytics and Triangulation platform.
Article in BMJ health & care informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis paper explores the implementation of the Multi-Source Data Analytics and Triangulation (MSDAT) platform as a solution to Nigeria's health data challenges. By consolidating data from various sources into a centralised platform, MSDAT aims to improve data accessibility, interoperability and quality.
methodsThe MSDAT platform was developed using a modular, cloud-based architecture comprising data integration and analytics layers. Secondary health data from multiple standard sources such as District Health Information Software 2, Nigeria Demographic and Health Survey, WHO. Data was visualised using interactive dashboards. All processes adhered to the Nigeria Data Protection Act 2023, with data security maintained through encryption, role-based access control and routine system audits.
resultsThe development of the MSDAT has led to increased use of health data in high-level health stakeholders' meetings, supporting the shift towards making data-driven decisions. Additionally, the platform is enhancing health data integrity in Nigeria by ensuring the availability of quality data. DISCUSSION: However, the adoption of this centralised system has faced challenges, including resistance to change and data migration complexities. Efforts to ensure collaboration between healthcare providers, policymakers and technical experts will be essential to overcome these barriers and fully realise the potential of the MSDAT platform in enhancing healthcare delivery and improving health outcomes.
conclusionThe MSDAT platform demonstrated the value of integrated health data systems in improving data quality, accessibility and use for decision-making. Consequently, strengthening Nigeria's capacity for evidence-based planning, equitable resource allocation and performance monitoring is advancing progress toward a more responsive and data-driven health system.
Indexed as
Identifiers
What OpenQuestion holds
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.