Abstract

Background Evidence-based decision-making in healthcare relies heavily on routine health information. However, in many low-income and middle-income countries (LMICs), concerns persist regarding the use of quality routine health data for health service delivery. Moreover, no systematic synthesis currently exists on how the use of quality data influences health service delivery in these settings. This systematic review aims to address this gap by consolidating existing evidence on the utilisation of quality routine health data and its impact on health service delivery in LMICs. Methods and analysis This review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework for identification, screening and reporting of studies. We will develope our keywords and search strategy using a public involvement approach, generative artificial intelligence (AI) and a combination of keywords and Boolean operators in relevant databases. Studies will be retrieved from CENTRAL, PubMed, Science Citation Index and Scopus. The review will include studies that were published from 2000 to 2025 and that determined the impact of quality routine health data utilisation on health service delivery. It will include both experimental and observational study designs. Two independent authors will screen all titles, abstracts and full-text data. A third reviewer will resolve any disagreements that may arise between the two reviewers. The primary outcome of interest is the impact of the use of quality routine health data on health service delivery. Assessment of risk of bias of all relevant studies will be evaluated using the Joanna Briggs Institute Critical Appraisal Checklist for Systematic Reviews and Research Syntheses tool. The narrative synthesis approach and thematic analysis will be employed for the review. Ethics and dissemination No institutional ethics approval will be obtained for this study. However, during the review process, only articles published in peer-reviewed journals/databases will be included in this review. Further, all studies to be included in the review should have obtained ethical approval from relevant institutional review boards. The findings from the systematic review will be disseminated through technical reports, conferences, academic publications, LinkedIn and all relevant platforms available to the researchers. PROSPERO registration number CRD420251131622.