Evidence mapPaperPMID 40200341Full record

ArticleBMC nursing2025

Psychometric properties of the Chinese version of difficulty scale for nurses who care for patients with delirium in the intensive care unit.

Tianxiang Jiang, Yuecong Wang, Weiying Yang, Hongying Chen, Nan Wang

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Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tianxiang JiangIntensive Care Unit, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang Province, China.ORCID http://orcid.org/0000-0001-9862-6340
Yuecong WangDepartment of Oncology, Huai'an Second People's Hospital, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, Jiangsu, China.ORCID http://orcid.org/0000-0002-1844-7148
Weiying Yang *Department of Nursing, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang Province, China. yangwy@enzemed.com.ORCID http://orcid.org/0009-0004-9647-723X
Hongying Chen *Intensive Care Unit, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang Province, China. chenhy@enzemed.com.
Nan Wang *Intensive Care Unit, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang Province, China. wangnan@enzemed.com.ORCID http://orcid.org/0000-0003-1770-3573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntensive Care Unit (ICU) nurses experience many difficulties and challenges in caring for delirium patients. Identifying and measuring these difficulties experienced by nurses is critical for implementing precise interventions. We currently lack a standard tool for assessing the level of difficulty faced by ICU nurses in caring for delirium patients that fits the nursing context in China. This study aimed to translate the Difficulty Scale for Nurses who Care for Patients with Delirium in the Intensive Care Unit (DSNCPD-ICU) into Chinese (C-DSNCPD-ICU) and psychometrically validate the translated scale.

methodsThe English version of DSNCPD-ICU consisted of a main scale with eight factors and an additional scale of one factor. It was translated in strict accordance with Brislin's translation model to yield the Chinese versions. Using a convenience sampling method, 477 ICU nurses from ten general hospitals were recruited for online survey, which collected sociodemographic information, scores on C-DSNCPD-ICU and the Strain of Care for Delirium Index. Subsequent psychometric attributes of the C-DSNCPD-ICU were also tested by the validity and reliability.

resultsThere were 437 valid responses. The content validity index was calculated as 0.96. Cronbach's alpha for the total scale and each factor were 0.919 and 0.705-0.878, respectively. Exploratory factor analysis verified an eight-factor scale and an additional scale structure with cumulative variance contributions of the factors of 63.78% and 57.62%, respectively. Confirmatory factor analysis showed that all data-model fits were acceptable.

conclusionsThe C-DSNCPD-ICU validated in this study showed satisfactory psychometric properties. This will help Chinese nurse managers to accurately assess the degree of difficulty and identify the causes of precise barriers in caring for patients with delirium. Using the scale, nurse managers can determine what kind of measures should be taken, including formulating effective and tailored educational programs and providing more resources to support nurses.

Indexed as

DeliriumIntensive care unitsNurseReliabilityScaleValidity

Identifiers

PMID40200341
PMCPMC11980102

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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 Socratic graph.