Routine Health Information Systems in the European Context: A Systematic Review of Systematic Reviews.
Francesc Saigí-RubióJosé Juan Pereyra-RodriguezJoan Torrent-SellensHans EguiaNatasha Azzopardi-MuscatDavid Novillo OrtizPublished in: International journal of environmental research and public health (2021)
(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.
Keyphrases
- health information
- social media
- meta analyses
- clinical practice
- healthcare
- physical activity
- systematic review
- end stage renal disease
- chronic kidney disease
- ejection fraction
- newly diagnosed
- public health
- primary care
- prognostic factors
- big data
- randomized controlled trial
- peritoneal dialysis
- adipose tissue
- type diabetes
- machine learning
- insulin resistance
- metabolic syndrome
- skeletal muscle
- patient reported outcomes
- patient reported