Multidimensional Pain Inventory-Screening Chinese version (MPI-sC): psychometric testing in terminal cancer patients in Taiwan.

Autor: Lai YH, Guo SL, Keefe FJ, Tsai LY, Shun SC, Liao YC, Li IF, Liu CP, Lee YH, Lai, Yeur-Hur, Guo, Shu-Liu, Keefe, Francis J, Tsai, Li-Yun, Shun, Shiow-Ching, Liao, Yu-Chien, Li, In-Fun, Liu, Ching-Ping, Lee, Yun-Hsiang
Zdroj: Supportive Care in Cancer; Dec2009, Vol. 17 Issue 12, p1445-1453, 9p
Abstrakt: Introduction: Cancer pain is identified as a multidimensional experience, but relatively few brief instruments are available for assessing the complex pain-related experiences of terminal cancer patients in Taiwan. The purposes of this study were to (1) translate and examine the feasibility and psychometric characteristics of the eight-item Multidimensional Pain Inventory-Screening Chinese (MPI-sC) when used with patients having terminal cancer and (2) apply the MPI-sC to examine multidimensional pain-related experiences of terminal cancer patients in Taiwan.Materials and Methods: The MPI-sC was tested in 106 terminal cancer inpatients at a hospice setting in Taipei.Results: The results showed that the MPI-sC has satisfactory face and content validity, feasibility, acceptable internal consistency reliability (overall Cronbach's alpha of 0.75), and overall support of theoretical assumptions. However, instead of the four-factor structure of the original instrument, we found a three-factor structure (with pain intensity and pain interference merged into one factor) that explained 76.73% of the variance. Close to half the patients (48.1%) had considerable levels of pain interference, and a majority (72.6%) reported not having control in life based on the cut-point of MPI-sC categorization.Conclusion: Our results support the brief MPI-sC as a feasible and valid tool for assessing and representing multidimensional pain experiences in terminal cancer patients. The MPI-sC could help clinicians and researchers assess the complex multidimensional pain experiences of terminal cancer patients, including Chinese-speaking cancer populations. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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