Evidence map›Paper›PMID 32994800›Full record

ArticleInternational journal of clinical and health psychology : IJCHP

Psychometric properties of the Chinese version of the End-of-Life Decision-Making and Staff Stress Questionnaire.

Jingying Huang, Lili Yang, Haiou Qi, Yiting Zhu, Minyan Zhang

Abstract read
In one paragraph

Article in International journal of clinical and health psychology : IJCHP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

The trial behind it

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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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Jingying HuangPostanesthesia Care Unit, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, China.
Lili YangNursing Education Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, China.
Haiou QiNursing Education Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, China.
Yiting ZhuPostanesthesia Care Unit, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, China.
Minyan ZhangIntensive Care Unit, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectiveThe goal of this study is to establish a Chinese version of the End-of-Life Decision Making and Associated Staff Stress Questionnaire to assess its reliability and validity.

methodA sample of 119 Intensive Care Unit physicians and 485 nurses in China completed the questionnaire, along with questionnaires assessing motional exhaustion subscale, Stress Overload Scale, and other variables associated with end-of-life decision.

resultsSeven factors obtained via exploratory factor analysis could explain 70.61% of the total variance. Confirmatory factor analysis demonstrated an acceptable model fit with Root Mean Square Error of Approximation (RMSEA) being .078 and Standardized Root Mean Square Residual (SRMR) being .066. Validity evidence based on relationships with other variables was provided by positive or negative correlations between the questionnaire subscales and emotional exhaustion, stress overload, and other variables associated with end-of-life decision. The average content validity index was .96. The Cronbach's α and test-retest reliability was outstanding.

conclusionsThe Chinese version of the End-of-Life Decision Making and Associated Staff Stress Questionnaire is a reliable and valid instrument for measuring the facilitators and hinders to facilitate the end-of-life decision-making, communication and the associated pressure perceived by relevant Intensive Care Unit medical staff among the Chinese population.

Indexed as

End-of-Life Decision Making and Associated Staff Stress QuestionnaireInstrumental studyReliabilityValidity

Identifiers

PMID32994800
PMCPMC7501447

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.