4.2 Article

Psychometric Properties of the Knowledge, Attitude, and Practice Behavior of Oncology Nurses on Advance Care Planning Instrument

期刊

SEMINARS IN ONCOLOGY NURSING
卷 39, 期 3, 页码 -

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ELSEVIER SCIENCE INC
DOI: 10.1016/j.soncn.2022.151378

关键词

Advance care planning; Oncology nursing; Psychometric; Reliability; Validity

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This study aimed to translate and examine the psychometric properties of an instrument measure on advance care planning in Chinese. The results showed that the translated and adapted instruments had reasonable psychometric properties. The measurement of oncology nurses' knowledge, attitudes, and practice behaviors has implications for targeted interventions to improve end-of-life care outcomes.
Objective: Advance care planning has been practiced in Western countries for several years, but non-Western cultures face challenges in implementation. This study was dedicated to translating the instrument measure into Chinese, examining its psychometric qualities and exploring the relationships among knowledge, attitudes, and practicing behaviors in advance care planning among oncology nurses in China. Data Sources: The research adopted a cross-sectional design from September 3 to October 5, 2021. After translation and cultural adaptation, oncology nurses (N = 249) were involved. The research used psychometric evaluation to verify that the content validity, structural validity, internal consistency, and test-retest reliability enhanced the analytical rigorous instrument. Conclusion: The translated and adapted instruments showed reasonable psychometric properties. The Chinese version of the KAB-ACP for oncology nurses is a consistent, valid, and reliable instrument for assessing knowledge, attitude, and practice behavior of Chinese-speaking nurses who work in advance care planning by researchers or clinicians. Implications for Nursing Practice: Measures of oncology nurses' knowledge, attitudes, and practice behaviors will allow for more targeted interventions that will improve end-of-life care outcomes. (c) 2022 Elsevier Inc. All rights reserved.

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