Evidence map›Paper›PMID 34706946›Full record

ArticleBMJ open2021

Trends, composition and distribution of nurse workforce in China: a secondary analysis of national data from 2003 to 2018.

Han Lu, Luoya Hou, Weijiao Zhou, Liqiong Shen, Shida Jin, Mengqi Wang, Shaomei Shang, Xiaomei Cong, Xiaoyan Jin, Dou Dou

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PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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3 · Its place in the literature

Who cites it

30 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.

Han Lu *Peking University School of Nursing, Beijing, China.
Luoya Hou *Peking University School of Nursing, Beijing, China.
Weijiao ZhouUniversity of Michigan School of Nursing, Ann Arbor, Michigan, USA.
Liqiong ShenWuhan University Zhongnan Hospital, Wuhan, Hubei, China.
Shida JinPeking University School of Nursing, Beijing, China.
Mengqi WangPeking University School of Nursing, Beijing, China.
Shaomei Shang *Peking University School of Nursing, Beijing, China shangshaomei@126.com xiaomei.cong@uconn.edu jxybmu@sina.com doudou@nsfc.gov.cn.ORCID 0000-0002-3913-4570
Xiaomei Cong *Nursing Biobehavioral Research Laboratory (BBL), University of Connecticut School of Nursing, Storrs, Connecticut, USA shangshaomei@126.com xiaomei.cong@uconn.edu jxybmu@sina.com doudou@nsfc.gov.cn.
Xiaoyan Jin *Peking University School of Nursing, Beijing, China shangshaomei@126.com xiaomei.cong@uconn.edu jxybmu@sina.com doudou@nsfc.gov.cn.
Dou Dou *Forth Department of Health Sciences, National Natural Science Foundation of China, Beijing, China shangshaomei@126.com xiaomei.cong@uconn.edu jxybmu@sina.com doudou@nsfc.gov.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesGiven the increased ageing population and frequent epidemic challenges, it is vital to have the nurse workforce of sufficient quantity and quality. This study aimed to demonstrate the trends, composition and distribution of nurse workforce in China.

designSecondary analysis using national public datasets in China from 2003 to 2018. SETTING/

participantsNational population, nurse workforce and physician workforce. PRIMARY AND SECONDARY OUTCOME MEASURES: Frequency and proportion were used to demonstrate: (1) the longitudinal growth of nurse workforce; (2) the diversity of nurse workforce in gender, age, work experience and education level; and (3) the distribution of nurse workforce among provinces, rural-urban areas and hospital/community settings. The Gini coefficient and Theil L index were used to measure the inequality trends of nurse workforce.

resultsThe total number of nurses increased from 1.3 million to 4.1 million and the density increased from 1 to 2.94 per 1000 population over 2003-2018. The nurses to physician ratio changed from 0.65:1 to 1.14:1. The majority of the nurse workforce was female, under 35 years old, with less than 30 years of work experience, with an associate's degree and employed within hospitals. Central and eastern regions had more nurses and there were 5.08 nurses per 1000 population in urban areas while less than two in rural areas in 2018. The Gini coefficient and between-provincial Theil index experienced a consistent decline. Within-province inequality accounted for overall inequality has risen from 52.38% in 2010 to 71.43% in 2018 suggested that the differences of distribution are mainly reflected in urban and rural areas.

conclusionChinese nurse workforce has been changed significantly in the past 15 years that may be associated with the reformations of policy, nursing education in China. Our study suggests current features in the nurse workforce and can be used to strengthen future health services.

Indexed as

PhysiciansRural PopulationAdultChinaFemaleHospitalsHumansWorkforcehealth policyhuman resource managementmedical education & trainingorganisation of health services

Identifiers

PMID34706946
PMCPMC8552175

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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.