Evidence map›Paper›PMID 39044214›Full record

ArticleGlobal health research and policy2024

The development of a performance evaluation index system for Chinese Centers for Disease Control and Prevention: a Delphi consensus study.

Huimin Sun, Ying Wang, Huanle Cai, Pengyu Wang, Jie Jiang, Congxing Shi, Yongyue Wei, Yuantao Hao

Abstract readConsensus Statement
In one paragraph

Article in Global health research and policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  2. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Huimin SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Ying WangDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China.
Huanle CaiDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China.
Pengyu WangDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China.
Jie JiangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Congxing ShiDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China.
Yongyue WeiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yuantao HaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China. haoyt@bjmu.edu.cn.ORCID 0000-0003-4146-9262

Funding

National Natural Science Foundation of China 81973150National Natural Science Foundation of China 82204162
6 · The paper itself

Abstract

backgroundThe performance evaluation of the Centers for Disease Control and Prevention (CDC) is crucial for enhancing the quality of public health services. With the ongoing reform of the CDC system in China, the existing performance evaluation system faces challenges. This study used the Delphi method to develop a new performance evaluation system for China's provincial, city, and county-level CDC.

methodsFollowing the "Structure-Process-Outcome" model, assessment indicators were systematically collected. Indicators were modified and screened through two Delphi rounds based on CDC responsibilities, health development, and national policies. Twenty-four experts provided ratings and recommendations, and the research team evaluated questionnaire reliability, expert positivity, expert authority, and opinion consistency.

resultsThe preliminary index system identified through the literature review and pre-survey included 11 primary, 30 secondary, and 64 tertiary indicators. After the first round of consultation, two secondary indicators and 11 tertiary indicators were removed and 22 tertiary indicators were added. After the second round of consultation, three secondary indicators and 11 tertiary indicators were removed and three tertiary indicators were added, at which point the p-value of the test for Kendall's coefficient of concordance W was < 0.001 and the coefficient of variation was within acceptable limits (< 0.25), so the consultation was concluded. The final index system included 11 primary, 25 secondary, and 67 tertiary indicators.

conclusionsThis study responded to the CDC system reform by developing a comprehensive performance evaluation index system for provincial, city, and county-level CDC in China. The index system is both scientifically grounded and practical, serving as an effective tool for promoting the high-quality work of CDC organizations.

Indexed as

Delphi TechniqueGovernment AgenciesQuality Indicators, Health CareChinaCDCDelphi methodIndex systemPerformance evaluationPublic health

Identifiers

PMID39044214
PMCPMC11265441

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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.