ArticleBMC medical education2025
Construction of a public health practice teaching quality evaluation system based on the CIPP model using the Analytic Hierarchy Process (AHP) and entropy weight method.
Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- A sequential mixed-methods study to develop and validate the nursing infection control effectiveness index (NICEI).BMC nursing · 2026Article
- Building a tool to assess malaria surveillance and response capacity in malaria post-elimination contexts: a modified and dual-weighted Delphi approach.Infectious diseases of poverty · 2025Article
- Developing a Health Education Checklist for Healthcare Professionals to Ensure Treatment Adherence of Newly Diagnosed Young People Living with HIV: A Delphi Study.Patient preference and adherence · 2025Article
- Establishment and validation of an evaluation system for hospital infection prevention and control courses: a study protocol using the Delphi method and analytic hierarchy process.Frontiers in public health · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
objectiveThis study aims to establish a comprehensive evaluation system for assessing public health practice teaching quality, addressing the shortcomings of traditional evaluation methods. The framework integrates the Context, Input, Process, and Product (CIPP) model with the Analytic Hierarchy Process (AHP) and Entropy Weight Method to provide precise and balanced weightings for evaluation indicators. AHP was selected for its ability to incorporate expert judgment with consistency checks, ensuring structured decision-making, while the Entropy Weight Method enhances objectivity by assigning weights based on data variability, reducing potential biases in expert evaluations.
methodsThe development process included two rounds of Delphi expert consultations to refine the evaluation indicators and achieve consensus among experts. AHP and the Entropy Weight Method were applied to calculate and verify the weights of indicators. Statistical methods were used to ensure the reliability and validity of the framework.
resultsHigh consensus was achieved on key evaluation factors, emphasizing the critical roles of teaching facilities and information technology in public health education. The evaluation system combines expert insights with data-driven metrics, demonstrating strong reliability and adaptability. Findings underscore the system's ability to identify strengths and weaknesses in teaching quality effectively.
conclusionThis evaluation system provides a practical and scientifically grounded framework for improving resource allocation, policymaking, and quality enhancement in public health education. Its flexible structure enables dynamic adjustments to meet evolving educational standards and diverse teaching contexts. This tool offers valuable guidance for educators, policymakers, and stakeholders to enhance the effectiveness of public health teaching practices.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.