Patient Satisfaction With Chronic Pain Management: Patient Perspectives of Improvement

Author:

Li Yuelin (Cindy)1ORCID,Hapidou Eleni G12345ORCID

Affiliation:

1. Department of Psychology, Neuroscience and Behaviour (PNB), 3710McMaster University, Hamilton, Ontario, Canada

2. Michael G. DeGroote Pain Clinic, McMaster University Medical Centre, Hamilton, Ontario, Canada

3. Michael G. DeGroote Institute for Pain Research and Care, McMaster University, Hamilton, Ontario, Canada

4. Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada

5. Bachelor of Health Sciences (Honour’s) Program, McMaster University, Hamilton, Ontario, Canada

Abstract

Integrating satisfaction measures with pain-related variables can highlight global change and improvement from the patients’ perspective. This study examined patient satisfaction in an interdisciplinary chronic pain management program. Nine hundred and twenty-seven (n = 927) participants completed pre- and post-treatment measures of pain, depression, catastrophizing, anxiety, stages of change, and pain acceptance. Multiple regression was used to examine these variables at admission and discharge as predictors of patient satisfaction. Pain-related variables explained 50.6% of the variance (R2 = .506, F 22,639 = 29.79, P < .001) for general satisfaction, and 38.9% of the variance (R2 = 0.389, F 22,639 = 18.49, P < .001) for goal accomplishment. Significant predictors of general satisfaction included depression (β = −0.188, P < .001) and the maintenance stage of change (β = 0.272, P < .001). The latter was also a significant predictor of goal accomplishment (β = 0.300, P < .001). Discharge pain-related measures are more influential than admission measures for predicting patient satisfaction. Patient satisfaction is significantly related to establishing a self-management approach to pain.

Publisher

SAGE Publications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.7亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2025 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3