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Validation of the Lean Healthcare Implementation Self-Assessment Instrument (LHISI) in the finnish healthcare context
- Source :
- BMC health services research, vol 21, iss 1, BMC Health Services Research, Vol 21, Iss 1, Pp 1-9 (2021), BMC Health Services Research
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Lean management is growing in popularity in the healthcare sector worldwide, yet healthcare organizations are struggling with assessing the maturity of their Lean implementation and monitoring its change over time. Most existing methods for such assessments are time consuming, require site visits by external consultants, and lack frontline involvement. The original Lean Healthcare Implementation Self-Assessment Instrument (LHISI) was developed by the Center for Lean Engagement and Research (CLEAR), University of California, Berkeley as a Lean principles-based survey instrument that avoids the above problems. We validated the original LHISI in the context of Finnish healthcare. Background Lean management is growing in popularity in the healthcare sector worldwide, yet healthcare organizations are struggling with assessing the maturity of their Lean implementation and monitoring its change over time. Most existing methods for such assessments are time consuming, require site visits by external consultants, and lack frontline involvement. The original Lean Healthcare Implementation Self-Assessment Instrument (LHISI) was developed by the Center for Lean Engagement and Research (CLEAR), University of California, Berkeley as a Lean principles-based survey instrument that avoids the above problems. We validated the original LHISI in the context of Finnish healthcare. Methods The original HISI survey was sent over a secure organizational email system to the over 26,000 employees of the Hospital District of Helsinki and Uusimaa in March 2020. The data were randomly split with one part used to carry out an exploratory factor analysis (EFA), and the other for testing the resulting model using confirmatory factor analysis (CFA). Results A total of 6073 employees responded to the LHISI survey, for an overall response rate of 23%. The results indicated that the 43 items used in the original LHISI can be reduced to 25 items, and these items measure a five-dimensional model of the progress of Lean implementation: leadership, commitment, standard work, communication, and daily management system. In comparison with a single-factor model, the fit measures for the 5-factor model were better: smaller X-2, larger comparative fit index (CFI), smaller root mean square error of approximation (RMSEA), and smaller standardized root mean square residual (SRMR). Conclusions The 25 item LHISI is valid and feasible to use in the context of Finnish healthcare. The LHISI allows the organization to self-monitor the progress of its Lean implementation and provides the leadership with actionable knowledge to guide the path towards Lean maturity across the organization. Our findings encourage further studies on the adoption and validation of the LHISI in healthcare organizations worldwide.
- Subjects :
- Self-assessment
Self-Assessment
Psychometrics
Context (language use)
Nursing
Lean manufacturing
Structural equation modeling
Health administration
03 medical and health sciences
Library and Information Studies
Surveys and Questionnaires
Lean healthcare
Humans
Medicine
0501 psychology and cognitive sciences
Operations management
Finland
COMPLEXITY
business.industry
Research
030503 health policy & services
Health Policy
05 social sciences
Reproducibility of Results
Self-assessment instrument
Statistical
THINKING
3142 Public health care science, environmental and occupational health
Lean maturity assessment
Confirmatory factor analysis
Exploratory factor analysis
Lean management
3141 Health care science
050106 general psychology & cognitive sciences
Lean implementation
PRINCIPLES
Management system
Public Health and Health Services
Health Policy & Services
Public aspects of medicine
RA1-1270
Factor Analysis, Statistical
0305 other medical science
business
Delivery of Health Care
Factor Analysis
Subjects
Details
- ISSN :
- 14726963
- Volume :
- 21
- Database :
- OpenAIRE
- Journal :
- BMC Health Services Research
- Accession number :
- edsair.doi.dedup.....3b455ace583d637c66f64d74a2d7ac6b