Evidence map›Paper›PMID 36449336›Full record

ArticleJournal of medical Internet research2022

Psychometric Properties of the Chinese Warwick-Edinburgh Mental Well-being Scale in Medical Staff: Cross-sectional Study.

Aishu Dong, Jing Huang, Shudan Lin, Jianing Zhu, Haitao Zhou, Qianqian Jin, Wei Zhao, Lianlian Zhu, Wenjian Guo

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
5.0field-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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 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

9 authors at 1 institution in 1 country.

Aishu Dong *Cardiology Department, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.ORCID 0000-0001-5065-4246
Jing Huang *Wenzhou Medical University, Wenzhou, China.ORCID 0000-0002-8070-9129
Shudan LinWenzhou Medical University, Wenzhou, China.ORCID 0000-0002-6666-7620
Jianing ZhuWenzhou Medical University, Wenzhou, China.ORCID 0000-0002-6593-2250
Haitao ZhouCardiology Department, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.ORCID 0000-0002-0852-7785
Qianqian JinEmergency Department, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.ORCID 0000-0001-8995-1758
Wei ZhaoCardiology Department, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.ORCID 0000-0002-0213-5772
Lianlian ZhuWenzhou Medical University, Wenzhou, China.ORCID 0000-0002-6149-0061
Wenjian GuoOncology Department, Second Affiliated Hospital of Wenzhou Medical University, Whenzhou, China.ORCID 0000-0001-9946-9869
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorldwide, mental well-being is a critical issue for public health, especially among medical staff; it affects professionalism, efficiency, quality of care delivery, and overall quality of life. Nevertheless, assessing mental well-being is a complex problem.

objectiveThis study aimed to evaluate the psychometric properties of the Chinese-language version of the 14-item Warwick-Edinburgh Mental Well-being Scale (WEMWBS) in medical staff recruited mainly from 6 hospitals in China and provide a reliable measurement of positive mental well-being.

methodsA cross-sectional online survey was conducted of medical staff from 15 provinces in China from May 15 to July 15, 2020. Confirmatory factor analysis (CFA) was conducted to test the structure of the Chinese WEMWBS. The Spearman correlations of the Chinese WEMWBS with the 5-item World Health Organization Well-Being Index (WHO-5) were used to evaluate convergent validity. The Cronbach α and split-half reliability (λ) represented internal consistency. A graded response model was adopted for an item response theory (IRT) analysis. We report discrimination, difficulty, item characteristic curves (ICCs), and item information curves (IICs). ICCs and IICs were used to estimate reliability and validity based on the IRT analysis.

resultsA total of 572 participants from 15 provinces in China finished the Chinese WEMWBS. The CFA showed that the 1D model was satisfactory and internal consistency reliability was excellent, with α=.965 and λ=0.947, while the item-scale correlation coefficients ranged from r=0.727 to r=0.900. The correlation coefficient between the Chinese WEMWBS and the WHO-5 was significant, at r=0.746. The average variance extraction value was 0.656, and the composite reliability value was 0.964, with good aggregation validity. The discrimination of the Chinese WEMWBS items ranged from 2.026 to 5.098. The ICCs illustrated that the orders of the category thresholds for the 14 items were satisfactory.

conclusionsThe Chinese WEMWBS showed good psychometric properties and can measure well-being in medical staff.

Indexed as

LanguageQuality of LifeChinaCross-Sectional StudiesHumansMedical StaffPsychometricsReproducibility of ResultsChinaChinese Warwick-Edinburgh Mental Well-being Scaleclassical test theoryitem response theorymedical staffpsychometric propertywell-being

Identifiers

PMID36449336
PMCPMC9752453
OpenAlexW4310703060

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LicenceCC BY
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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.