Evidence map›Paper›PMID 38360597›Full record

ArticleBMC nursing2024

Nurses' job preferences on the internet plus nursing service program: a discrete choice experiment.

Yan He, Guanrui Feng, Chenchen Wang, Dan Yang, Lei Hu, Wai-Kit Ming, Weiju Chen

Open access · goldAbstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 3 institutions in 2 countries.

Yan He *Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, 5/F, Block 1, To Yuen Building, 31 To Yuen Street, Tat Chee Avenue, Kowloon, Hong Kong, China.
Guanrui Feng *Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong Province, China.
Chenchen WangDepartment of Pharmacy, International school, Jinan University, Guangzhou, China.
Dan YangDepartment of Endodontics, Stomatological Hospital of Guangzhou Medical University, Guangzhou, China.
Lei HuSchool of Nursing, Jinan University, No. 601, Huangpu Avenue West, Guangzhou, Guangdong, China.
Wai-Kit MingDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, 5/F, Block 1, To Yuen Building, 31 To Yuen Street, Tat Chee Avenue, Kowloon, Hong Kong, China. wkming2@cityu.edu.hk.
Weiju ChenSchool of Nursing, Jinan University, No. 601, Huangpu Avenue West, Guangzhou, Guangdong, China. weijuchen2008@163.com.ORCID http://orcid.org/0000-0002-5869-7731
Jinan University · CNCity University of Hong Kong · HKGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Internet Plus Nursing Service (IPNS) is being instigated in all provincial-level regions throughout China, in which registered nurses (with more than five years of experience from qualified medical institutions) will provide services to those in their communities or homes after receiving online applications. The growing shortage of human resources in nursing is a critical issue for this project, so effective policies for recruiting and retaining nurses are critical.

objectiveThis study aims to pinpoint the significant job characteristics that play a crucial role in shaping the job decisions of sharing nurses in the IPNS program, and to estimate the strength of job attributes.

methodsA discrete choice experiment (DCE) was used to assess job attributes influencing sharing nurses' preferences. A qualitative design, including in-depth interview and focus interview methods, was conducted to determine the inclusion of attributes. The final included six attributes were: work modes, duration per visit, income per visit, personal safety, medical risk prevention, and refresher training. This study was conducted at 13 hospitals in Guangdong Province, China, from April to June 2022, and a total of 220 registered sharing nurses participated in the survey. The multinomial logit model explored attributes and relative valued utility. Preference heterogeneity is explored via latent class analysis (LCA) models.

resultsA total of 220 participants answered the questionnaire. Income was the most influential characteristic of a sharing nursing position, followed by personal safety management, duration per visit, medical risk prevention, and refresher training, and nurses' preferences differed among different types of classes.

conclusionsSharing nurses place most value on income and personal safety with career-related decisions, which indicates an urgent need to develop complete security for personal safety. This study can be helpful to decision-makers in the Chinese government.

Indexed as

Discrete choice experimentHome health nursingInternet plus nursing service programJob preference

Identifiers

PMID38360597
PMCPMC10870577
OpenAlexW4391839053

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.