Abstract
(1) Background: The aim of this study is to provide a better understanding of the requirements to improve routine health information systems (RHISs) for the management of health systems, including the identification of best practices, opportunities, and challenges in the 53 countries and territories of the WHO European region. (2) Methods: We conducted an overview of systematics reviews and searched the literature in the databases MEDLINE/PubMed, Cochrane, EMBASE, and Web of Science electronic databases. After a meticulous screening, we identified 20 that met the inclusion criteria, and RHIS evaluation results were presented according to the Performance of Routine Information System Management (PRISM) framework. (3) Results: The reviews were published between 2007 and 2020, focusing on the use of different systems or technologies and aimed to analyze interventions on professionals, centers, or patients’ outcomes. All reviews examined showed variability in results in accordance with the variability of interventions and target populations. We have found different areas for improvement for RHISs according to the three determinants of the PRISM framework that influence the configuration of RHISs: technical, organizational, or behavioral elements. (4) Conclusions: RHIS interventions in the European region are promising. However, new global and international strategies and the development of tools and mechanisms should be promoted to highly integrate platforms among European countries.
Highlights
Introduction iationsHigh-quality data supporting health management decisions are key to effective governance, leadership, and management [1,2,3,4,5,6]
According to the three determinants of the Performance of Routine Information System Management (PRISM) framework that influence the configuration of routine health information systems (RHISs) we have found the following areas for improvement for RHISs
The novelty of RHISs rests on two main elements: the regularity of data captured and the effective use of these data for decision making
Summary
Introduction iationsHigh-quality data supporting health management decisions are key to effective governance, leadership, and management [1,2,3,4,5,6]. When a HIS produces high-quality, timely, and reliable data, it enables health program managers to monitor, evaluate, and improve health system performance and make evidence-based decisions. This information can aid decision making, including the prioritization of funding and the allocation of other resources, and to assess which information or sources of in-formation are missing, uncertain, or of low quality [8]. These data can be used to Licensee MDPI, Basel, Switzerland
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