Evidence map›Paper›PMID 39468610›Full record

ArticleBMC health services research2024

Job preferences of master public health candidates in Northeast China based on discrete choice experiments.

Huaizhi Cheng, Ruotong Tian, Dongquan Chen, Jiesen Shang, Lingxiao Gao, Xiaoyu Dong, Bin Guo, Guoxiang Liu

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Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Huaizhi Cheng *Harbin Medical University-Daqing, Daqing, 163319, China.
Ruotong Tian *Harbin Medical University-Daqing, Daqing, 163319, China.
Dongquan ChenQuanzhou Hospital of Traditional Chinese medicine, No.388, Sunjiang Road, Jiangnan District, Quanzhou, China.
Jiesen ShangZhongshan Hospital, Xiamen University, No.201-209 Hubinnan Road, Siming District, Xiamen, China.
Lingxiao GaoHarbin Medical University-Daqing, Daqing, 163319, China.
Xiaoyu DongHarbin Medical University-Daqing, Daqing, 163319, China.
Bin GuoHarbin Medical University-Daqing, Daqing, 163319, China. guobinlover@163.com.
Guoxiang LiuSchool of Health Management, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, China. lgx6301@163.com.

Funding

the Harbin Medical University Graduate Student Scientific Research and Innovation Practice Project YJSCX2023-299HYDthe Natural Science Foundation of Heilongjiang Province, China LH2023G006
6 · The paper itself

Abstract

backgroundThe shortage of health workers in rural and remote areas is a key issue for global health systems, including China. Public health undertakings in Northeast China face the risk of a talent gap. In September 2023, the National Development and Reform Commission (NDRC) held a symposium on promoting the comprehensive revitalization of Northeast China in the New Era, proposing to support the comprehensive revitalization of Northeast China with high-quality population development, strengthen the development and utilization of human resources, and increase policy support for the revitalization of talent.

methodsThe questionnaire was designed by discrete choice experiments, and 1208 Public Health Master's candidates from six universities in Northeast China were investigated online via the Powercx system network survey platform in April 2024. The mixed logit model was used to analyze the job preferences of Master Public Health candidates.

resultsAll 7 attributes included in the study had statistically significant effects on the job preferences of public health master's degree candidates (P < 0.05). They tended to choose jobs with higher monthly income (12,000 CNY/month), located in cities with good working environments and with Bianzhi when seeking jobs. There is heterogeneity in job preference, and different preference characteristics are displayed in different subgroups.

conclusionThis study revealed that public health master's degree candidates in Northeast China were more willing to choose jobs with higher monthly incomes, working places in cities and better working environments. The way to formulate a combination of policy packages is more attractive than improving a single aspect alone. Since the preferences of each subgroup are different, the preference characteristics of the target population should also be considered when formulating the policy package to meet the challenges of talent attraction and retention.

Indexed as

Career ChoicePublic HealthAdultChinaChoice BehaviorEducation, GraduateFemaleHumansMaleSurveys and QuestionnairesDiscrete choice experimentsHealthcareJob preferencesMaster candidateRecruitment and retention

Identifiers

PMID39468610
PMCPMC11520076

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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.