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Impact of quality routine health data utilisation on health service delivery outcomes in low-income and middle-income countries: a systematic review protocol

BMJ OpenResearch Authors: Patrick Addo, Helen Bour, Samson Akanbonga, Hubert Amu, Samuel Amon, Caesar Agula, Clinton Sekyere FrempongAIIM Authors: Anisha Ojha, Amanda ZhongApproved by President Reda RiffiPublication Date: 2/27/2026

Comprehensive Summary

This article outlines a protocol for a systematic review investigating how the use of high-quality routine health data affects health service delivery in low- and middle-income countries. The authors aim to synthesize existing research from 2000-2025 using databases such as PubMed and Scopus. The study will include both experimental and observational designs, with screening conducted by multiple reviewers to ensure accuracy. The review will assess outcomes related to healthcare delivery and evaluate study quality using established appraisal tools, ultimately providing a comprehensive understanding of how data-driven decision-making impacts healthcare systems in LMICs.

Outcomes and Implications

This research could highlight the importance of improving routine health data systems in LMICs to enhance healthcare delivery and policy decisions. If strong associations are found, it may encourage governments and organizations to invest in better data collection and usage practices. Ultimately, this could lead to more efficient, evidence-based healthcare systems and improved patient outcomes in resource-limited settings.

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