Frontiers in nutrition · 2026
Construction of a quality evaluation index system for nutrition nursing clinics based on the Donabedian model.
СтатьяНазвание и аннотация: Перевод в очереди
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Zeng Xing, Jiang Yu, Liu Hui, Huang Yujia, Chen Xian, Li Ai, Gu Yajing
Аннотация
OBJECTIVE: To develop an evidence-based quality evaluation index system for Nutrition Nursing Clinics (NNCs) grounded in the Donabedian Structure-Process-Outcome model.
METHODS: A preliminary indicator system was developed through a systematic literature review, expert panel discussions, and a national survey. Utilizing the Delphi method, 17 experts participated in two rounds of consultation. Questionnaires with a 100% effective response rate in both rounds were used to collect expert opinions on the importance of indicators. Indicators were screened based on an average importance score ≥3.5 and a coefficient of variation <0.25. The Analytic Hierarchy Process (AHP) was then applied to calculate the weights for the finalized indicators.
RESULTS: The expert authority coefficients (Cr) for the two consultation rounds were 0.90 and 0.89, respectively, indicating high expert credibility. The Kendall's W coefficients for all levels of indicators were statistically significant (P < 0.01), demonstrating a good degree of coordination and convergence of expert opinions. Ultimately, a comprehensive quality evaluation index system for NNCs was established, comprising 3 first-level indicators, 16 second-level indicators, and 61 third-level indicators. Consistency Ratio (CR) values for all judgment matrices ranged from 0.0000 to 0.0904, confirming the logical consistency of the assigned weights.
CONCLUSION: This study developed a preliminary, consensus-based quality evaluation index system for NNCs, representing a foundational step toward standardized evaluation in this specialty.
METHODS: A preliminary indicator system was developed through a systematic literature review, expert panel discussions, and a national survey. Utilizing the Delphi method, 17 experts participated in two rounds of consultation. Questionnaires with a 100% effective response rate in both rounds were used to collect expert opinions on the importance of indicators. Indicators were screened based on an average importance score ≥3.5 and a coefficient of variation <0.25. The Analytic Hierarchy Process (AHP) was then applied to calculate the weights for the finalized indicators.
RESULTS: The expert authority coefficients (Cr) for the two consultation rounds were 0.90 and 0.89, respectively, indicating high expert credibility. The Kendall's W coefficients for all levels of indicators were statistically significant (P < 0.01), demonstrating a good degree of coordination and convergence of expert opinions. Ultimately, a comprehensive quality evaluation index system for NNCs was established, comprising 3 first-level indicators, 16 second-level indicators, and 61 third-level indicators. Consistency Ratio (CR) values for all judgment matrices ranged from 0.0000 to 0.0904, confirming the logical consistency of the assigned weights.
CONCLUSION: This study developed a preliminary, consensus-based quality evaluation index system for NNCs, representing a foundational step toward standardized evaluation in this specialty.