Evidence map›Paper›PMID 39267646›Full record

ArticleFrontiers in public health2024

Human resource allocation status and equity research of Centers for Disease Control and Prevention in China from 2016 to 2020.

Shen Shao, Kunzai Niu, Xinye Qi, Fangshi Li, Li Wang, Yawei Sheng, Xinyu Qiu, Yi Li, Yue Du, Haojun Fan

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

10 authors.

Shen ShaoInstitute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
Kunzai NiuCollege of Management and Economics, Tianjin University, Tianjin, China.
Xinye QiSchool of Public Health, Tianjin Medical University, Tianjin, China.
Fangshi LiSchool of Public Health, Tianjin Medical University, Tianjin, China.
Li WangSchool of Public Health, Tianjin Medical University, Tianjin, China.
Yawei ShengSchool of Public Health, Tianjin Medical University, Tianjin, China.
Xinyu QiuSchool of Public Health, Tianjin Medical University, Tianjin, China.
Yi LiCollege of Management and Economics, Tianjin University, Tianjin, China.
Yue DuSchool of Public Health, Tianjin Medical University, Tianjin, China.
Haojun FanInstitute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In recent years, the development of global public health has become a matter of great concern and importance for governments worldwide. China, as the largest developing country, plays a crucial role in shaping the development of the public health and its ability to respond to sudden public health emergencies through the fairness of its human resource allocation in center for disease control and prevention (CDC). Objective: This study aims to analyze the situation of health human resource allocation in the China Centers for Disease Control and Prevention (China CDCs), assess the fairness of the allocation, and provide reference for the rational allocation of human resources. Methods: We selected data from the China Health Statistics Yearbook on healthcare technical personnel, other technical personnel, managerial personnel, and workforce technical personnel of China CDCs for the period of 2016-2020. We utilized the Health Resource Density Index to evaluate the level of human resource allocation in China CDCs. Additionally, we used the Gini coefficient and Theil index to assess the fairness of human resource allocation in China CDCs from both a population and geographical perspective. Results: Firstly, the educational qualifications and professional titles of CDC staff have improved, but the workforce is aging. Secondly, HRDI development trends vary among different personnel types and regions with varying levels of economic development. Finally, the results of the Gini coefficient and Theil index indicate that population distribution fairness is better than geographical distribution fairness. Overall, the unfair population distribution is primarily due to regional disparities. Conclusion: The China CDCs should tailor different standards for the allocation of health human resources based on regional characteristics, aiming to enhance the accessibility of health human resources in various regions and achieve equitable allocation.

Indexed as

Resource AllocationChinaHealth EquityHealth PersonnelHealth WorkforceHumansPublic Healthallocation of human resourcesCenters for Disease Control and PreventionChinaGini coefficienthealth resource density indexTheil index

Identifiers

PMID39267646
PMCPMC11391484

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.