Evidence map›Paper›PMID 37101491›Full record

ArticleHeliyon2023

Applying a multi-criteria decision-making approach to identify key satisfaction gaps in hospital nurses' work environment.

Shiqian Wang, Lin Li, Chao Liu, Lizhen Huang, Yen-Ching Chuang, Yanjun Jin

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

6 authors.

Shiqian WangBusiness School, Dongguan City University, Dongguan, China.
Lin LiBusiness School, Dongguan City University, Dongguan, China.
Chao LiuInstitute for Hospital Management, Tsinghua University, Shenzhen Campus, Shenzhen, China.
Lizhen HuangSchool of Mathematics and Physics, Wenzhou University, Wenzhou 325035, Zhejiang, China.
Yen-Ching ChuangInstitute of Public Health & Emergency Management, Taizhou University, Taizhou 318000, Zhejiang, China.
Yanjun JinTaizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: A decision analysis model was constructed to explore the key factors affecting the job satisfaction of hospital nurses and to analyze the key satisfaction gaps in the case hospital. Background: In China, medical institutions are facing greater pressure and challenges in the normalization of epidemic prevention and control. Nurses play a critical role in the delivery of medical care services. Past studies have shown that improving job satisfaction among hospital nurses is important for both reducing nurse turnover and improving the quality of care. Methods: McCloskey/Mueller satisfaction scale (MMSS-31) was used to survey 25 nursing specialists in a case hospital in Zhejiang. Then, the Consistent Fuzzy Preference Relation (CFPR) method was used to analyze the degree of importance of dimensions and corresponding sub-criteria. Finally, the importance-performance analysis method was applied to identify critical satisfaction gaps for the case hospital. Results: In terms of local weight for dimensions, "Control/Responsibility ( Conclusion: The issues that nurses care about but for which they have not attained expectations mainly involved extrinsic rewards, recognition/encouragement and control over their working process. The findings of this study could offer an academic reference for management and remind them to consider the above factors in exploring future reform, further improving nurses' job satisfaction and motivating them to provide better nursing services.

Indexed as

Consistent fuzzy preference relationsImportance-performance analysisJob satisfactionMcCloskey/mueller satisfaction scaleMulti-criteria decision making

Identifiers

PMID37101491
PMCPMC10123212

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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.