Health literacy and pain neuroscience education in an interdisciplinary pain management programme: a qualitative study of patient perspectives.

Introduction: Pain neuroscience education is part of interdisciplinary pain management programs (IPMPs). To date, the role of health literacy on patients' understanding of pain neuroscience education has not sufficiently been examined. Objectives: Drawing on interviews with patients with diverse levels of health literacy, this article explores patient perspectives on pain neuroscience education. Methods: Purposively sampled patients from an IPMP were interviewed twice (waiting list and after 4 weeks). A directed qualitative content analysis was performed with the Integrated Conceptual Model of Health Literacy as an analytic framework. Results: Thirteen patients with chronic musculoskeletal pain were interviewed: 4 men and 9 women aged from 21 to 77 years with diverse educational and mostly low health literacy. One participant dropped out after baseline. Some participants gained access to health information actively; others relied on the expertise of their healthcare providers. Most participants did not seem to receive the information in the pain neuroscience education as intended, experienced difficulties with understanding the message, negatively appraised the information, and were not able to apply this in their daily lives. Health literacy levels likely played a role in this. Conclusions: Pain neuroscience education tailored to patients' health literacy levels, information needs, and learning strategies is needed.

Pain catastrophizing predicts dropout of patients from an interdisciplinary chronic pain management programme: A prospective cohort study.

OBJECTIVE: To explore predictors of dropout of patients with chronic musculoskeletal pain from an interdisciplinary chronic pain management programme, and to develop and validate a multivariable prediction model, based on the Extended Common-Sense Model of Self-Regulation (E-CSM). METHODS: In this prospective cohort study consecutive patients with chronic pain were recruited and followed up (July 2013 to May 2015). Possible associations between predictors and dropout were explored by univariate logistic regression analyses. Subsequently, multiple logistic regression analyses were executed to determine the model that best predicted dropout. RESULTS: Of 188 patients who initiated treatment, 35 (19%) were classified as dropouts. The mean age of the dropout group was 47.9 years (standard devition 9.9). Based on the univariate logistic regression analyses 7 predictors of the 18 potential predictors for dropout were eligible for entry into the multiple logistic regression analyses. Finally, only pain catastrophizing was identified as a significant predictor. CONCLUSION: Patients with chronic pain who catastrophize were more prone to dropout from this -chronic pain management programme. However, due to the exploratory nature of this study no firm conclusions can be drawn about the predictive value of the E-CSM of Self-Regulation for dropout.

Dutch Translation and Adaptation of the Treatment Beliefs Questionnaire for Chronic Pain Rehabilitation.

Background: The Treatment Beliefs Questionnaire has been developed to measure patients' beliefs of necessity of and concerns about rehabilitation. Preliminary evidence suggests that these beliefs may be associated with attendance of rehabilitation. The aim of this study was to translate and adapt the Treatment Beliefs Questionnaire for interdisciplinary pain rehabilitation and to examine the measurement properties of the Dutch translation including the predictive validity for dropout. Methods: The questionnaire was translated in 4 steps: forward translation from English into Dutch, achieving consensus, back translation into English, and pretesting on providers and patients. In order to establish structural validity, internal consistency, construct validity, and predictive validity of the questionnaire, 188 participants referred to a rehabilitation centre for outpatient interdisciplinary pain rehabilitation completed the questionnaire at the baseline. Dropout was measured as the number of patients starting, but not completing the programme. For reproducibility, 51 participants were recruited at another rehabilitation centre to complete the questionnaire at the baseline and one week later. Results: We confirmed the structural validity of the Treatment beliefs Questionnaire in the Dutch translation with three subscales, necessity, concerns, and perceived barriers. internal consistency was acceptable with ordinal alphas ranging from 0.66-0.87. Reproducibility was acceptable with ICC2,1 agreement ranging from 0.67-0.81. Hypotheses testing confirmed construct validity, similar to the original questionnaire. Predictive validity showed the questionnaire was unable to predict dropouts. Conclusion: Cross-cultural translation was successfully completed, and the Dutch Treatment Beliefs Questionnaire demonstrates similar psychometric properties as the original English version.

Predictors of dropout in interdisciplinary chronic pain management programmes: A systematic review.

OBJECTIVE: Systematic review to identify predictors for dropout during interdisciplinary pain management programmes. DATA SOURCES: PubMed, PsycINFO, CINAHL, Embase, and SPORTDiscus were searched from inception to 22 June 2017. STUDY SELECTION: Screening, data-extraction and quality assessment was carried out independently by 2 researchers. DATA SYNTHESIS: Eight studies with low methodological quality were included in this review. Out of 63 potential predictors identified in univariate analyses, significant results were found for 18 predictors of dropout in multiple logistic regression analyses in 4 domains, as described by Meichenbaum & Turk: (i) sociodemographic domain (2); (ii) patient domain (8); (iii) disease domain (6); and (iv) treatment domain (2). CONCLUSION: This systematic review presents an overview of predictors of dropout. The literature with regard to the prediction of dropout has focused mainly on patient characteristics and is still in the stage of model development. Future research should focus on therapist/therapy-related predictors and the interaction between these predictors. This review suggests future research on this topic, in order to generate better outcomes in interdisciplinary pain management programmes.