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Updated: Jan 20, 2026

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Method for evaluating the competency of geriatric nursing professionals.

Linna Xie1, Jingwei Wu1, Guobin Yan2

  • 1Ya'an Polytechnic College, Ya'an 625000, China.

Geriatric Nursing (New York, N.Y.)
|January 18, 2026
PubMed
Summary

This study introduces a new evaluation system for geriatric nursing competency. It uses advanced methods to quantify skills, improving geriatric care training and quality.

Keywords:
AHPCompetencyEWMFuzzy integrated evaluation methodGeriatric nursing

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Area of Science:

  • Geriatric Nursing
  • Healthcare Management
  • Educational Assessment

Background:

  • Assessing geriatric nursing competency is crucial for high-quality elder care.
  • Existing evaluation methods may lack scientific rigor and comprehensiveness.
  • There is a need for a standardized, data-driven approach to competency assessment.

Purpose of the Study:

  • To develop and validate a scientific evaluation system for geriatric nursing professionals' competency.
  • To establish a quantifiable and comparative measure of job competence.
  • To provide a theoretical basis for optimizing training and selection processes.

Main Methods:

  • Constructed a competency indicator framework using structured questionnaire surveys.
  • Applied the entropy weight method (EWM) to determine expert authority coefficients.
  • Utilized the analytic hierarchy process (AHP) and EWM for indicator weighting.
  • Employed a fuzzy comprehensive evaluation method for intern assessment.

Main Results:

  • Developed a comprehensive framework for assessing geriatric nursing competency.
  • Successfully applied a hybrid AHP-EWM approach for indicator weighting.
  • Generated quantifiable competency scores for participating interns.
  • Demonstrated the system's ability to reflect job competence effectively.

Conclusions:

  • The proposed evaluation system offers a scientific and rational methodology for assessing geriatric nursing competency.
  • This system provides a reliable tool for evaluating geriatric nursing talents.
  • The findings support the improvement of geriatric care service quality through optimized training and selection.