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A quality assessment index framework for public health services: a Delphi study
Z G Zhao1, J Q Cheng1, S L Xu1
1Shenzhen Center for Disease Control and Prevention, No. 8 Longyuan Road, Nanshan District, Shenzhen, 518055, China.
This study developed a consensus-based framework with 28 indices to assess public health service quality in China. The established Quality Assessment of the Public Health Service (QAPHS) framework demonstrates high reliability and practicability.
Area of Science:
- Public Health
- Healthcare Quality Management
- Health Services Research
Background:
- Evaluating public health service quality is crucial for improving healthcare delivery.
- Existing quality assessment tools may lack comprehensive and consensus-based metrics.
- Standardized frameworks are needed for consistent evaluation across different regions in China.
Purpose of the Study:
- To establish consensus-based indices for the Quality Assessment of the Public Health Service (QAPHS).
- To develop a hierarchical framework for evaluating public health service quality in China.
- To validate the applicability and practicability of the proposed QAPHS framework.
Main Methods:
- A qualitative study employing a two-round Delphi technique with 30 experts.
- Development of initial quality assessment indices based on Donabedian theory.
- Statistical analysis including specialist authority coefficient (Cr) and Kendall's W to establish consensus and reliability.
Main Results:
- Consensus was achieved on a three-tiered framework: 4 first-grade, 9 second-grade, and 28 third-grade indices.
- High specialist authority coefficients (Cr: 0.88-0.92) indicated expert agreement.
- Kendall's W coefficients were statistically significant (P < 0.05, W > 0.5), confirming high inter-rater reliability.
Conclusions:
- A unified, hierarchical QAPHS index framework was successfully established through expert consensus.
- The developed framework demonstrates high reliability and practicability for assessing public health service quality.
- Further practical testing and refinement of the QAPHS framework are recommended.
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