Implementation model for a national learning health system (IMPLEMENT-National LHS): a concept analysis and systematic review protocol

Jean-Baptiste Gartner, Boutheina Benharbit, Géraldine Layani, Maxime Sasseville, Célia Lemaire (), Frédéric Bergeron, Catherine Wilhelmy, Matthew Menear and André Côté
Additional contact information
Maxime Sasseville: ULaval - Université Laval [Québec]
Célia Lemaire: MAGELLAN - Laboratoire de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon, ULaval - Université Laval [Québec], IUF - Institut universitaire de France - M.E.N.E.S.R. - Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche
Catherine Wilhelmy: UdeS - Université de Sherbrooke

Post-Print from HAL

Abstract: Introduction Despite efforts and repeated calls to improve the organisation and quality of healthcare and services, and in view of the many challenges facing health systems, the results and capacity to adapt and integrate innovations and new knowledge remain suboptimal. Learning health systems (LHS) may be an effective model to accelerate the application of research for real quality improvement in healthcare. However, while recognising the enormous potential of LHS, the literature suggests the model remains more of an aspiration than a reality. Methods and analysis To reach a fine understanding of the implementation of the concepts involved in LHS, we will use a hybrid method which combines concept analyses with systematic review methodology. We will use a two-step analysis, a content analysis to analyse the definitions, uses and attributes of the concept and a systematic review to analyse the concept's implementation mechanisms. We will search eight databases and grey literature and present a broad synthesis of the available evidence regarding design, implementation and evaluation of LHS in a multilevel perspective. We will follow the latest Preferred Reporting Items for Systematic Review and Meta-Analysis statement for conducting and reporting a systematic review. Two reviewers will independently screen the titles and abstracts against the eligibility criteria followed by full-text screening of potentially relevant articles for final inclusion decision. Conflicts will be resolved with a senior author. We will include published primary studies that use qualitative, quantitative or mixed methods. The assessment of risk of bias will be made using the Mixed-Methods Appraisal Tool. Ethics and dissemination This systematic review is exempt from ethics approval. The results formulated will highlight evidence-based interventions that support the implementation of a national LHS. They will be of particular interest to decision makers, researchers, managers, clinicians and patients allowing finally to implement the promising proposal of LHSs at national scale. PROSPERO registration number CRD42023393565.

Date: 2023-10-31
References: Add references at CitEc
Citations:

Published in BMJ Open, 2023, 13 (10), pp.e073767. ⟨10.1136/bmjopen-2023-073767⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04366437

DOI: 10.1136/bmjopen-2023-073767

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().