Shining the LAMP on Efforts to Transform Pain Care in America

Translation and Validation of the Farsi Version of the Pain Management Self-Efficacy Questionnaire

Introduction

Pain management is a complex process that is managed through a multi-disciplinary team in which nurses have a significant role. The present study aimed at translating and examining the psychometric properties of the Pain Management Self-Efficacy Questionnaire (PMSEQ) among Iranian nurses.

Methods

This was a cross-sectional, methodological study conducted in 2019 among nurses working in two teaching hospitals in Sanandaj (Tohid and Kosar). The participants were selected using a convenience sampling method. Responsiveness; interpretability; and face, content, and construct validities were examined using exploratory and confirmatory factor analyses. In addition, internal consistency and stability were examined using the Cronbach’s alpha and test-retest, respectively.

Results

Overall, 410 nurses (210 for the EFA and 200 for the CFA) were included in the sample. In the exploratory factor analysis, two factors of comprehensive pain assessment and pain management with eigenvalues of 6.36 and 1.91, respectively, were extracted. The two factors together explained 56.64% of the variance of nurses’ pain management self-efficacy. The confirmatory factor analysis indicated that the model had a moderate fit to the data (RMSEA: 0.12; NFI: 0.84; NNFI: 0.86; CFI: 0.88; IFI: 0.88; RFI: 0.81; GFI: 0.76; AGFI: 0.69; PGFI: 0.59; RMR: 0.09; standardized RMR: 0.09). Total questionnaire and the two factors (i.e. comprehensive pain assessment and pain management) had internal consistency coefficients of 0.891, 0.876, and 0.803, respectively.

Conclusion

The Farsi version of PMSEQ had good internal consistency and reliability, as well as content and construct validity, and can be used in future studies.

Personal resource profiles of individuals with chronic pain: Sociodemographic and pain interference differences

PURPOSE/OBJECTIVE

Previous studies have demonstrated important associations between personal resources and pain interference. Using latent profile analysis, the present study (a) identified subgroups of individuals with chronic pain who have different personal resource profiles; (b) explored sociodemographic differences among subgroups; and (c) examined how these subgroups differ in pain interference. Research Method/Design: Study 1 is based on daily diary and survey data from 220 individuals with fibromyalgia (FM). Study 2 is based on 4 annual surveys of 483 individuals with long-term neurological/neuromuscular disease or injury, and chronic pain. Modifiable personal resource variables including sense of resilience, social support, pain acceptance, and sleep quality were included in latent profile analyses.

RESULTS

Three subgroups were identified in both studies: High, Moderate, and Low Personal Resource groups. In both studies, annual income level was significantly different among subgroups. Study 1 results showed a significant between-groups difference in pain interference across 21-days only between High and Moderate Personal Resource groups controlling for the level of pain intensity and depressive symptoms. In Study 2, however, all subgroups were significantly different with respect to their levels of pain interference at baseline over and above various covariates, with the Low Personal Resource group reporting the highest level of pain interference at baseline. These baseline differences remained stable over 4 years.

CONCLUSIONS/IMPLICATIONS

The findings suggest a robust association between economic disparity and personal resource profiles among individuals with chronic pain. The role of different personal resource profiles in pain interference appears to differ by chronic pain condition. (PsycINFO Database Record (c) 2019 APA, all rights reserved).