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Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
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Using hybrid consistent fuzzy preference relations-importance-performance analysis model to improve shared

Yen-Ching Chuang1,2, Zhong Zhu3, Yanjun Jin4

  • 1Institute of Public Health and Emergency Management, Taizhou University, Taizhou, Zhejiang, China.

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|July 1, 2022
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Summary

Shared decision-making (SDM) in orthopaedic nursing is improved by clearly communicating care options and involving patients in decisions. This enhances patient-centered care quality and nursing performance.

Keywords:
consistent fuzzy preference relationsimportance-performance analysismultiple attribute decision-makingorthopaedic nursing decisionshared decision-making

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Area of Science:

  • Nursing Science
  • Health Services Research
  • Decision Science

Background:

  • Shared decision-making (SDM) is crucial for patient-centered care.
  • Optimizing SDM in orthopaedic nursing requires understanding key influencing factors.

Purpose of the Study:

  • To identify key factors for shared decision-making (SDM) in orthopaedic nursing.
  • To explore strategies for improving the quality of nursing decisions.

Main Methods:

  • Utilized consistent fuzzy preference relations (CFPRs) and importance-performance analysis (IPA).
  • Collected data from 16 orthopaedic nurses in a Chinese hospital.
  • Adhered to STROBE guidelines for observational studies.

Main Results:

  • Key factors for SDM included clearly stating the need for a decision, explaining option pros/cons, and presenting available choices.
  • "Asking patient preference" was vital for improving nursing care.
  • Statistical significance confidence was 98.321%.

Conclusions:

  • A hybrid CFPRs-IPA model aids managers in understanding SDM quality factors.
  • Quantitative models and targeted training can enhance nursing decision-making and patient-centered care.
  • Involving patients in care decisions is essential for informed contributions.