Literature DB >> 32574659

Measuring Self-Efficacy and Readiness for Advance Care Planning in Chinese Older Adults.

Li Liu1, Ya-Yi Zhao2, Li-Hui Zhang3, Helen Yue-Lai Chan2.   

Abstract

CONTEXT: Self-efficacy and readiness for advance care planning (ACP) is underresearched in the Chinese population given that these are novel concepts in the culture.
OBJECTIVES: To translate the self-efficacy and readiness subscales of the ACP Engagement Scale into Chinese using the Brislin's Model and test its psychometric properties in Chinese older adults.
METHODS: Content validity and face validity were established based on the views of a group of experts and older adults. Then, a survey was conducted with a convenience sample of 204 community-dwelling older adults. Convergent validity was evaluated using Pearson's correlation coefficients with the SURE test, a decisional conflict scale. The scores between older adults who had hospitalization experience in the previous year and those who did not have were compared to examine discriminant validity.
RESULTS: The findings showed that the Chinese subscales had good internal consistency (Cronbach's α 0.94-0.97) and acceptable one-week test-retest reliability (intraclass correlation coefficient 0.66-0.70). There was a significantly high correlation between the self-efficacy and the readiness subscales (r = 0.809; P < 0.01) and moderate correlation between the two subscales and the SURE test (r = 0.509-0.587; P < 0.01). Discriminant validity was supported by significant differences between older adults who had hospitalization experience in the last year and those who did not have (P < 0.05).
CONCLUSION: The Chinese readiness and self-efficacy subscales of the ACP Engagement Survey are valid and reliable tools for assessing the preparedness of the Chinese older adults for ACP.
Copyright © 2020 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Keywords:  Advance care planning; Chinese; psychometric testing; readiness; self-efficacy

Mesh:

Year:  2020        PMID: 32574659     DOI: 10.1016/j.jpainsymman.2020.06.013

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  6 in total

Review 1.  A model for the uptake of advance care planning in older cancer adults: a scoping review.

Authors:  Yiping Chen; Liyuan Hou; Xianhui Zhang; Yifei Du; Xiaoqing Zhang; Min Li; Chaoyue Gao; Hui Yang
Journal:  Aging Clin Exp Res       Date:  2022-07-26       Impact factor: 4.481

2.  Association between training experience and readiness for advance care planning among healthcare professionals: a cross-sectional study.

Authors:  Helen Yue-Lai Chan; Annie Oi-Ling Kwok; Kwok-Keung Yuen; Derrick Kit-Sing Au; Jacqueline Kwan-Yuk Yuen
Journal:  BMC Med Educ       Date:  2020-11-23       Impact factor: 2.463

3.  Readiness for advance care planning and its relationship to coping style in patients with chronic diseases in communities: A cross-sectional study.

Authors:  Xinru Wang; Yu Sheng
Journal:  Nurs Open       Date:  2022-01-28

4.  Reliability and Validity of the Traditional Chinese Version of the Advance Care Planning Engagement Survey: A Pilot Evaluation in Taiwanese Outpatients.

Authors:  Fang-Chun Wei; Chieh-Kuan Hsu; Yu-Lin Wu; Jung-Yu Liao; Chi-Hsien Huang; Chao Agnes Hsiung; Sang-Ju Yu; Cheng-Pei Lin; Ping-Jen Chen
Journal:  J Palliat Care       Date:  2021-11-17       Impact factor: 1.980

5.  The explorations of the awareness, contemplation, self-Efficacy, and readiness of advance care planning, and its predictors in Taiwanese patients while receiving hemodialysis treatment.

Authors:  Li-Chen Chen; I-Chen Yu; Hsiang-Ping Huang; Sui-Whi Jane; I-Te Tu; Tao-Hsin Tung; Yung-Chang Lin; Randal D Beaton
Journal:  BMC Palliat Care       Date:  2022-10-14       Impact factor: 3.113

6.  Psychometric evaluation of the Chinese version of advance care planning self-efficacy scale among clinical nurses.

Authors:  Zhen Yang; Huan Wang; Aiping Wang
Journal:  BMC Palliat Care       Date:  2022-10-07       Impact factor: 3.113

  6 in total

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