Evidence map›Paper›PMID 30029506›Full record

ArticleInternational journal of environmental research and public health2018

Job Satisfaction and Associated Factors among Medical Staff in Tertiary Public Hospitals: Results from a National Cross-Sectional Survey in China.

Huixuan Zhou, Xueyan Han, Juan Zhang, Jing Sun, Linlin Hu, Guangyu Hu, Shichao Wu, Pengyu Zhao, Feng Jiang, Yuanli Liu

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 4% of its field
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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

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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 at 1 institution in 1 country.

Huixuan ZhouSchool of Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dongdansantiao, Dongcheng District, Beijing 100730, China. chouhuixuan@live.cn.
Xueyan HanSchool of Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dongdansantiao, Dongcheng District, Beijing 100730, China. hanxueyan611@163.com.
Juan ZhangSchool of Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dongdansantiao, Dongcheng District, Beijing 100730, China. ncd_juan@163.com.
Jing SunSchool of Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dongdansantiao, Dongcheng District, Beijing 100730, China. sunjing@sph.pumc.edu.cn.ORCID 0000-0002-4646-1174
Linlin HuSchool of Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dongdansantiao, Dongcheng District, Beijing 100730, China. lynn0319@163.com.
Guangyu HuSchool of Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dongdansantiao, Dongcheng District, Beijing 100730, China. hugy@sph.pumc.edu.cn.ORCID 0000-0002-0339-4522
Shichao WuSchool of Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dongdansantiao, Dongcheng District, Beijing 100730, China. shixizhiwsc@foxmail.com.
Pengyu ZhaoSchool of Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dongdansantiao, Dongcheng District, Beijing 100730, China. james880715@163.com.
Feng JiangSchool of Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dongdansantiao, Dongcheng District, Beijing 100730, China. jiangfeng108@126.com.
Yuanli LiuSchool of Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dongdansantiao, Dongcheng District, Beijing 100730, China. liuyl_fpo@126.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical staff in China's tertiary public hospitals are responsible for providing healthcare to a considerable number of patients, and their job satisfaction needs attention. The aim of this study is to investigate the job satisfaction of medical staff in tertiary public hospitals and to explore its associated factors. Based on a national survey conducted in 2016, this study included 43,645 physicians and nurses nested in 136 tertiary public hospitals in 31 provinces of China. Multi-level logistic regression was used to examine job satisfaction and its association with individual characteristics and job-related factors. Results showed that 48.22% respondents were satisfied with their job, and they were least satisfied with their compensation. Individual characteristics including occupation, gender, education background, alcohol drinking and self-reported health status, as well as job-related factors regarding professional title, work years, income, workload, doctor-patient relationship and practice setting were found to be significantly associated with job satisfaction. Given that some of these factors may be amenable to interventions, we suggest that government and hospital administrators could take some measures to promote continuing education, improve personal health, balance workload and compensation for medical staff, in order to improve the job satisfaction of medical staff in tertiary public hospitals.

Indexed as

Job SatisfactionAdultChinaCross-Sectional StudiesFemaleHospitals, PublicHumansIncomeMaleMedical StaffMiddle AgedPhysiciansSurveys and QuestionnairesTertiary Care CentersChinaindividual characteristicsjob-related factorsjob satisfactiontertiary public hospitals

Identifiers

PMID30029506
PMCPMC6068903
OpenAlexW2883410108

What OpenQuestion 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 OpenQuestion graph.