Evidence map›Paper›PMID 41034860›Full record

ArticleBMC health services research2025

Efficiency and productivity of county-level CDCs in Qingdao municipal, China: a retrospective study based on 6 years of panel data.

Chongyi Wang, Kunzheng Lyu, Dan Lin, Mile Lin, Ying Zhang, Ayan Mao, Yujie Yang, Wuqi Qiu

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chongyi Wang *Institute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, 100020, China.
Kunzheng Lyu *Qingdao Center for Disease Control and Prevention, Qingdao, Shandong, 266033, China.
Dan LinQingdao Center for Disease Control and Prevention, Qingdao, Shandong, 266033, China.
Mile LinInstitute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, 100020, China.
Ying ZhangInstitute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, 100020, China.
Ayan MaoInstitute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, 100020, China.
Yujie YangInstitute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, 100020, China. yang.yujie@imicams.ac.cn.
Wuqi QiuInstitute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, 100020, China. qiu.wuqi@imicams.ac.cn.

Funding

IMICAMS Youth Talent Development Fund 2024YT11Policy Research Project by the Qingdao Municipal Health Commission QDWJZCYJ2025-039Qingdao Key Medical and Health Discipline Project 20250160
6 · The paper itself

Abstract

backgroundCounty-level Centers for Disease Control and Prevention (CDCs) are the foundational units of China's public health system. The COVID-19 pandemic has highlighted the shortcomings of the system, making it urgent to strengthen the functions of county-level CDCs. The efficiency and equity of resource allocation are crucial for enhancing public health outcomes. Therefore, this study aimed to evaluate six-year trends (2018-2023) in equity and efficiency of resource allocation among the ten county-level CDCs in Qingdao and to identify actionable measures for optimizing grassroots public-health capacity in the post-COVID-19 era.

methodsWe used Gini coefficient and Lorenz curve to assess the equity of resource allocation in the county-level CDCs in Qingdao. The efficiency of CDCs was evaluated using data envelopment analysis (DEA) and Bootstrap DEA. Efficiency change was analyzed by employing the Malmquist productivity index (MPI).

resultsThe health resources at the Qingdao CDCs showed an overall upward trend from 2018 to 2023. During 2018-2023, CDC personnel allocation showed good equity in demographic and economic dimensions (Gini < 0.3), but suboptimal equity in geographic distribution (Gini 0.3-0.5). The average technical efficiency was 0.940, pure technical efficiency averaged 0.995, and scale efficiency was 0.944. Among 10 CDCs, 50% achieved DEA efficiency. According to the total factor productivity (TFP) reflected by the indicator system constructed in this study, TFP grew at a rate of 6.0% between 2022 and 2023. Changes in technical efficiency change (TEC) and scale efficiency change (SEC) generally exceeded those in technological progress (TC).

conclusionIn order to enhance the equity and efficiency of resource allocation in county-level CDCs in Qingdao City. The government needs to adopt targeted policies, such as implementing flexible staffing adjustments, increasing the number of technical personnel and senior experts, and strengthening continuous training to enhance workforce capabilities. Also, fiscal efficiency should be enhanced by linking fund allocation with performance evaluation. Meanwhile, accelerating technological modernization and enhancing technological capabilities through digital tools and management innovation are crucial. Overall, these comprehensive measures aim to enhance resource utilization efficiency and strengthen the resilience of public health services. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

COVID-19Efficiency, OrganizationalResource AllocationChinaHumansPublic HealthRetrospective StudiesSARS-CoV-2County-level centers for disease control and preventionData envelopment analysisEfficiencyGini coefficient and Lorenz curve

Identifiers

PMID41034860
PMCPMC12487235

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.