Using hybrid consistent fuzzy preference relations–importance‐performance analysis model to improve shared decision‐making quality based on orthopaedic nurses' perceptions

Abstract

Purpose: To understand key factors for shared decision-making (SDM) and the quality improvement of nursing decisions in the orthopaedic clinical environment. Method:This study applied the consistent consistent fuzzy preference relations (CFPRs) and importance-performance analysis (IPA) methods to explore the attribute weights and SDM performance, respectively. The dataset was collected from 16 orthopaedic clinical nurses' experiences in a third-grade and first-level general hospital in Taizhou, China. This study was performed according to the STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) guidelines. Results:The results showed that "I made clear to my patient or patient's family that a nursing care decision needs to be made", "I explained the advantages and disadvantages of the nursing care options to my patient or patient's family" and "I told my patient or patient's family that there are different nursing care options for caring his/ her medical condition" were key factors for affecting SDM. The statistical significance confidence and difference error of weight results were 98.321% and 1.679%, respectively. In addition, "I asked my patient or patient's family which nursing care option he/she prefers" was the key factor for improving orthopaedic clinical nursing in the case hospital. Conclusion:The hybrid CFPRs-IPA model can help hospital managers effectively understand the key factors of SDM quality and improve the orthopaedic clinical nursing performance from nurses' perspectives.

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