Benchmarking Outcomes on Multiple Contextual Levels in Lean Healthcare: a Systematic Review, Development of a Conceptual Framework, and a Research Agenda
Overview
Authors
Affiliations
Background: Reliable benchmarking in Lean healthcare requires widely relevant and applicable domains for outcome metrics and careful attention to contextual levels. These levels have been poorly defined and no framework to facilitate performance benchmarking exists.
Methods: We systematically searched the Pubmed, Scopus, and Web of Science databases to identify original articles reporting benchmarking on different contextual levels in Lean healthcare and critically appraised the articles. Scarcity and heterogeneity of articles prevented quantitative meta-analyses. We developed a new, widely applicable conceptual framework for benchmarking drawing on the principles of ten commonly used healthcare quality frameworks and four value statements, and suggest an agenda for future research on benchmarking in Lean healthcare.
Results: We identified 22 articles on benchmarking in Lean healthcare on 4 contextual levels: intra-organizational (6 articles), regional (4), national (10), and international (2). We further categorized the articles by the domains in the proposed conceptual framework: patients (6), employed and affiliated staff (2), costs (2), and service provision (16). After critical appraisal, only one fifth of the articles were categorized as high quality.
Conclusions: When making evidence-informed decisions based on current scarce literature on benchmarking in healthcare, leaders and managers should carefully consider the influence of context. The proposed conceptual framework may facilitate performance benchmarking and spreading best practices in Lean healthcare. Future research on benchmarking in Lean healthcare should include international benchmarking, defining essential factors influencing Lean initiatives on different levels of context; patient-centered benchmarking; and system-level benchmarking with a balanced set of outcomes and quality measures.
Toward a roadmap for sustainable lean adoption in hospitals: a Delphi study.
Van Zyl-Cillie M, van Dun D, Meijer H BMC Health Serv Res. 2024; 24(1):1088.
PMID: 39294661 PMC: 11409581. DOI: 10.1186/s12913-024-11529-4.
Benfer N, Darnell B, Rusowicz-Orazem L, Fielstein E, Grunthal B, Lehavot K Psychol Trauma. 2023; 16(5):802-809.
PMID: 37307347 PMC: 10713857. DOI: 10.1037/tra0001479.
Yoshioka-Maeda K, Matsumoto H, Honda C, Shiomi M, Taira K, Hosoya N JMIR Res Protoc. 2023; 12:e45342.
PMID: 37307040 PMC: 10337385. DOI: 10.2196/45342.
Saccardi R, Putter H, Eikema D, Busto M, McGrath E, Middelkoop B Bone Marrow Transplant. 2023; 58(6):659-666.
PMID: 36894635 PMC: 9995719. DOI: 10.1038/s41409-023-01924-6.
Achieving transformation to lean management systems in health care.
Charns M, Lerner B, Yakovchenko V, Urech T, Shin M, Kim B Health Serv Res. 2022; 58(2):343-355.
PMID: 36129687 PMC: 10012231. DOI: 10.1111/1475-6773.14072.