Mechanisms of organisational learning in hospitals: An instrument development study
- PMID: 35277900
- DOI: 10.1111/jonm.13586
Mechanisms of organisational learning in hospitals: An instrument development study
Abstract
Aim: To develop a valid, reliable research instrument to measure mechanisms associated with organisational learning in hospitals.
Background: A valid, reliable instrument for measuring mechanisms of organisational learning would enable nurse leaders and researchers to improve health care through facilitation and study of organisational learning.
Methods: The Organizational Learning in Hospitals model was used as a framework to develop the Organizational Learning Instrument-Mechanisms. Cognitive interviews and expert reviews were used to refine and evaluate item-level and scale-level content validity. The instrument was distributed by email to a random sample of nurses working in inpatient hospitals in Utah (n = 1253). Confirmatory factor analysis was used to assess construct validity, and coefficient alpha was used to assess internal reliability.
Results: Item-level content validity scores were .88 to 1.0, and scale-level content validity was .98 (maximum score = 1.0). Standardized factor loadings were .539-.956, with model fit statistics as follows: comparative fit index (CFI) = .975, Tucker-Lewis index (TLI) = .973 and root mean square error of approximation (RMSEA) = .059. Coefficient alpha scores were .77-.95 for the instrument's five factors.
Conclusions: Initial testing indicates the Organizational Learning Instrument-Mechanisms has adequate levels of reliability, content validity and construct validity.
Implications for nursing management: Hospital leaders and researchers may begin using this instrument to improve and study the mechanisms of organisational learning in hospital units.
Keywords: factor analysis; instrument validation; nursing leaders; organisational learning; research instruments.
© 2022 John Wiley & Sons Ltd.
References
REFERENCES
-
- Chyung, S. Y., Roberts, K., Swanson, I., & Hankinson, A. (2017). Evidence-based survey design: The use of a midpoint on the Likert scale. Performance Improvement, 56(10), 15-23. https://doi.org/10.1002/pfi.21727
-
- Feather, J., McGillis Hall, L., Trbovich, P., & Baker, G. R. (2018). An integrative review of nurses' prosocial behaviours contributing to work environment optimization, organizational performance and quality of care. Journal of Nursing Management, 26(7), 769-781. https://doi.org/10.1111/jonm.12600
-
- Garman, A. N., Corrigan, P. W., & Morris, S. (2002). Staff burnout and patient satisfaction: Evidence of relationships at the care unit level. Journal of Occupational Health Psychology, 7(3), 235-241. https://doi.org/10.1037//1076-8998.7.3.235
-
- Henderson, A., Walker, R., Creedy, D., Boorman, R., & Cooke, M. (2010). Development and psychometric testing of the Clinical Learning Organisational Culture Survey (CLOCS). Nurse Education Today, 30(7), 598-602. https://doi.org/10.1016/j.nedt.2009.12.006
-
- Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
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