Chinese Version Of The Psychological Inflexibility In Pain Scale For Cancer Patients Reporting Chronic Pain

CANCER NURSING(2021)

Cited 5|Views3
No score
Abstract
BackgroundCancer-related chronic pain is reported by many patients during treatment. There are very few Chinese tools for measuring psychological inflexibility caused by cancer pain, particularly with regard to psychological processes that might influence pain severity and function disorder during cancer treatment. ObjectiveTo culturally adapt the Psychological Inflexibility in Pain Scale (PIPS) to Chinese cancer patients experiencing chronic pain, including the determination of psychometric properties of the translated PIPS. MethodsThis cross-sectional study included 2 phases: (1) translation and cultural adaptation and (2) determination of psychometric properties of the translated PIPS. In total, 389 cancer patients with several types of cancer experiencing chronic pain enrolled from May to September 2018 at a tertiary cancer hospital in Yuelu District of Hunan Province, China. ResultsThe Chinese PIPS version was semantically equivalent to the original. It had a 2-factor structure with satisfactory content validity (content validity index = 0.78-1.00), convergent and discriminant validity (composite reliability and average variance extracted at 0.41-0.89, P < .001), criterion-related validity (r = 0.54 and 0.41, P < .001), Cronbach's alpha coefficients (alpha = .87), and test-retest reliability (0.9 <= r <= 0.98). ConclusionsThe Chinese PIPS version has been culturally adapted and has strong psychometric properties. The scale is a psychometrically sound assessment of psychological inflexibility that can be used for future studies of pain and pain management for cancer patients. Implications for PracticeThe study provides a vital tool for the psychological management of cancer patients with chronic pain.
More
Translated text
Key words
Cancer, Chinese version, Chronic pain, Psychological inflexibility, Psychometric properties
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined