Improving care pathways through evidence-based modeling strategies: a scoping review.

Noncommunicable and communicable diseases represent significant public health problems, heavily straining healthcare systems. The care pathway (CP) concept has emerged as a promising framework to improve care coordination and delivery, but its complexity often hinders implementation. Modeling, with...

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Publicado en:Public Health (Elsevier) Vol. 244
Autores principales: du Sartz de Vigneulles, Benjamin, Lan, Romain, Mick, Gérard, Dussart, Claude, Carrouel, Florence
Formato: research systematic review Journal Article
Publicado: Elsevier B.V. Jul2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2025
      vid: 244
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      pub: Elsevier B.V.
      place: New York, New York
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        10.1016/j.puhe.2025.105751
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        atl: Improving care pathways through evidence-based modeling strategies: a scoping review.
      aug:
        au:
          du Sartz de Vigneulles, Benjamin
          Lan, Romain
          Mick, Gérard
          Dussart, Claude
          Carrouel, Florence
        affil: Laboratory "Health, Systemic, Process" (P2S), UR4129, University Claude Bernard Lyon 1, University of Lyon, 69008, Lyon, France
      sug:
        subj:
          Critical Path
          Medical Practice, Evidence-Based
          Health Care Delivery Methods
          Models, Theoretical
          Human
          Scoping Review
          PubMed
          Embase
          Quality Improvement
          Decision Support Systems, Clinical
          Prediction Models
          Conceptual Framework
          Treatment Outcomes
      ab: Noncommunicable and communicable diseases represent significant public health problems, heavily straining healthcare systems. The care pathway (CP) concept has emerged as a promising framework to improve care coordination and delivery, but its complexity often hinders implementation. Modeling, with its various methodologies, represents a valuable approach to address this challenge. Systematizing these methodologies is essential for enhancing CPs. This scoping review aims to describe and analyze CP modeling methodologies. Scoping review. Following PRISMA-ScR guidelines, searches were performed in PubMed, Web of science and Embase. Inclusion criteria were: (i) publications in English; (ii) human studies, (iii) published between January 1, 2019 and April 3, 2024 and (iv) use of modeling to analyze CPs. For each publication included, data were extracted and categorized based on modeling goals, methods used, functions of the techniques and their respective strengths and limitations. Analysis of the 41 included articles revealed that the main goals of CP modeling were quality of care (46.3 %), continuous improvement (31.7 %), and process optimization (22.0 %). The methods used for modeling were qualitative (41.5 %), quantitative (34.1 %), or mixed (24.4 %). Technical goals were description (48.8 %), decision support (36.6 %), and prediction (14.6 %). Qualitative methods (68.5 %) were common in studies focused on quality of care. Only 11 articles shared similar methodologies across at least two studies. Key weaknesses of CP modeling were data availability and implementation acceptance. This scoping review identified key categories and commonly used methodologies in CP modeling, offering a framework to help researchers and healthcare professionals improve CP design and implementation, leading to better patient outcomes and more efficient healthcare systems.
      pubtype: Academic Journal
      doctype:
        research
        systematic review
        Journal Article
      ougenre: Article
    language: English
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