Assessing the fidelity of the "photo-with-movement program" (PMP) for community-dwelling older adults with pain: A randomized controlled trial

被引:0
作者
Tse, Mimi M. Y. [1 ]
Chan, Amanda W. Y. [2 ]
Wu, Timothy C. M. [1 ]
Tsang, William W. N. [1 ]
Tse, Percy P. S. [1 ]
机构
[1] Hong Kong Metropolitan Univ, Jockey Club Inst Healthcare, Sch Nursing & Hlth Sci, Kowloon, 1 Sheung Shing St,Ho Man Tin, Hong Kong, Peoples R China
[2] Tung Wah Coll, Sch Nursing, Hong Kong, Peoples R China
关键词
Intervention fidelity; Chronic pain relief; Health behavior change; Older adults; Caregivers; CHINESE VERSION; SUBJECTIVE HAPPINESS; MANAGEMENT PROGRAM; INTERVENTION; RELIABILITY; CAREGIVERS; STRATEGIES; VALIDITY; PEOPLE;
D O I
暂无
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Purpose: To measure intervention fidelity of the Photo-with-Movement Program (PMP) and to report the findings of the program. Methods: This study was a two-arm, pilot randomized controlled trial of the PMP. An intervention fidelity checklist and semi-structured interviews were utilize to evaluate the fidelity of the PMP. Twenty-four older adults and informal caregiver dyads enrolled in the study, with 12 dyads in the experimental group and another 12 in the control group. The PMP integrated visual stimulation, physical exercise, and digital-based activity to deliver a comprehensive, non-pharmacological pain relief syllabus to the participants in the experimental group. The control group received pain management pamphlets. The data collected were analyzed using SPSS to compare the outcomes between the experimental and control groups. Results: The PMP led to significant findings on reducing pain intensity and high scores on intervention fidelity. Participants showed great acceptance of this delivery format. Conclusions: This study revealed the fidelity and effectiveness of a multimodal non-pharmacological intervention, suggesting that it could be used for pain management and caregiving. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
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页码:262 / 271
页数:10
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