Mindfulness-Based Pain Management (MBPM) for Patients With Chronic Musculoskeletal Pain

The purpose of this study is to investigate the efficacy of a structured 8-week Mindfulness-Based Pain Management (MBPM) program, based on the Breathworks method by Vidyamala Burch, in addition to standard therapy compared to standard therapy alone in terms of pain acceptance in patients with chronic musculoskeletal pain. The study is a monocentric, single-blinded (data collector), randomized study with 2 study arms. Study center is the Clinic for Natural and Integrative Medicine, Evang. Kliniken Essen-Mitte. Patients will be recruited via study calls on the clinic website as well as via press advertisements (see appendix). In addition, former patients who have been treated at the Clinic for Natural and Integrative Medicine for chronic musculoskeletal pain will be contacted. If a patient reports interest in the study, he/she will first be screened by telephone for the presence of the inclusion and exclusion criteria. In case of potential eligibility, patients are invited to the Study Center. All patients will be informed by a study physician and assessed for suitability to participate in the study. The inclusion and exclusion criteria are assessed on site by the study physician by means of a detailed general medical history and an orienting clinical-neurological examination. Eligible patients will be assigned to one of the two study arms after completion of measurements at week 0 via non-stratified block randomization with randomly varying block length. Establishing the randomization sequence and ensuring blinded assignment will be done via central randomization through RedCap software by an external researcher who will have no patient contact throughout the study. Neither the patients nor the study physician nor the study coordinators will have any insight into the randomization sequence. The study has 3 defined measurement time points: A baseline measurement (week 0) before randomization, at which time all standardized questionnaires as well as patient-specific data on sociodemographics (age, height, gender, weight, socioeconomic status), lifestyle, duration of disease, previous and currently applied therapies will be asked, and further measurement time points at the end of the course 8 weeks after randomization (week 8) and 6 months after randomization (week 26). The sample size calculation was based on a non-randomized study by Cusens et al (2010), which found a large effect size of d=1.04 for pain acceptance for MBPM in addition to standard therapy compared to standard therapy alone. Based on a power (1-) of 80%, a significance level of 5%, and an anticipated dropout rate of up to 20%, a 2-sided t-test requires a total sample size of 40 patients (20 patients per group) to detect such an effect. All analyses are based on the intention-to-treat population, i.e., all patients enrolled in the study are evaluated in the group originally assigned to them regardless of the treatment actually received. Missing values will be replaced using standard imputation procedures. The primary outcome parameter will be analyzed confirmatively using univariate analysis of covariance (ANCOVA), in which the main outcome parameter will be modeled as a function of group membership (binary co-variate), respective baseline values (linear covariate), and expectancy (linear covariate). Within this model, the adjusted group difference (including 95% confidence interval) is estimated and tested for superiority of the intervention over the control group using a two-sided t-test at the α=0.05 level. Secondary end points will be evaluated exploratively using the same models as the primary end point. Change scores (change scores) and effect sizes (hedges' g) for between-group comparisons will be calculated to assess the clinical significance of the results. The influence of potential process variables will be investigated using multiple mediator analyses.