Evidence map›Paper›PMID 41328570›Full record

ArticleJournal of advanced nursing2026

Development and Preliminary Application of a KAP Scale for Nursing Assistants in Pain Care for Older Adults With Dementia.

Qing Yang, Ru-Xue Yi, Guan-Feng Huang, Jiao Chen, Zhu-Yun Liu, Ping Zhang

Abstract readValidation Study
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Article in Journal of advanced nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qing YangSchool of Nursing, Southern Medical University, Guangzhou, China.
Ru-Xue YiSchool of Nursing, Southern Medical University, Guangzhou, China.
Guan-Feng HuangSchool of Nursing, Southern Medical University, Guangzhou, China.
Jiao ChenDepartment of Neurology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Zhu-Yun LiuDepartment of Neurology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0002-8379-6344
Ping ZhangSchool of Nursing, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aimed to develop and preliminarily validate the KAP scale for pain management in older adults with dementia among nursing assistants.

designA cross-sectional study.

methodsAn initial item pool was constructed through literature reviews, semi-structured interviews and team discussions. Items were screened and optimised through two rounds of Delphi expert consultations, a pilot survey and item analysis, yielding a draft version of the scale. Psychometric evaluation was conducted to refine the scale into its final form.

resultsThe final KAP scale developed in this study comprised 31 items. The scale exhibited good content validity, with item-level content validity index (I-CVI) values ranging from 0.83 to 1.00. Exploratory factor analysis revealed that the scale extracted five factors, which accounted for 65.732% of the cumulative variance, and all items demonstrated rotated factor loadings > 0.5, indicating good construct validity. The Cronbach's α coefficients for the knowledge, attitudes and practices dimensions were 0.877, 0.915 and 0.935, respectively, and the split-half reliability coefficients were 0.909, 0.886 and 0.864.

conclusionThe KAP scale for pain care in older adults with dementia developed in this study possesses good reliability and validity and can be used to assess the knowledge, attitudes and behavioural levels of nursing assistants in pain care. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: This study developed and psychometrically validated a KAP scale specifically designed to assess pain care for older adults with dementia among nursing assistants. Clinical managers can utilise this tool to systematically identify deficiencies in staff members' knowledge, attitudes or practices, thereby providing scientific evidence for the development of targeted pain care training programs and pain management strategies. This contributes to enhancing nursing assistants' pain care competence, ultimately alleviating the pain burden of older adults with dementia and improving their quality of life. REPORTING

methodThe STROBE checklist was used as a guideline. PATIENT OR PUBLIC CONTRIBUTION: No patient or public involvement.

Indexed as

DementiaHealth Knowledge, Attitudes, PracticeNursing AssistantsPainPain ManagementAdultAgedAttitude of Health PersonnelCross-Sectional StudiesFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and Questionnairesattitudedementiaknowledgenursing assistantpainpractice

Identifiers

PMID41328570
PMCPMC13356423

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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.