Feasibility of an Interprofessional Rehabilitation Program for Chronic Low Back Patients in the Ethiopian Health Setting

Chronic low back pain (CLBP) is the most common type of musculoskeletal pain, and it has a substantial negative consequence on the ability to engage in meaningful activities, participation in work, health-related quality of life, and social relationships. CLBP-related disability is increasing worldwide, and the majority of this increase is associated with the growing burden in low-and-middle-income countries, including Ethiopia. A growing body of evidence from high-income countries indicates the effectiveness of interprofessional rehabilitation programs for patients with CLBP. The currently implemented biomedically focused fragmented care in low- and middle-income countries appears to have limited lasting effect, owing to long-term disability. Therefore, this pilot RCT aims to evaluate the feasibility of conducting a definitive RCT to assess the effectiveness of an interprofessional rehabilitation program compared to the usual care for patients with CLBP in Ethiopia. Accordingly, the investigators will evaluate some elements of full RCT, including recruitment and retention rate, adherence, acceptability of the intervention, sample size estimation, and participants' preliminary responses to the interventions. Hence, this study will substantially benefit in informing components of the main trial design, minimizing uncertainties, and increasing the likelihood of successfully conducting the definitive RCT in the future. In addition, this pilot RCT is expected to provide a source of evidence for other initiatives aimed at developing and implementing interprofessional rehabilitation programs in a similar context. A two-arm parallel single-blinded pilot randomized control trial (RCT), with embedded qualitative interviews, will be employed to assess the feasibility of conducting a full RCT to evaluate the effectiveness of an interprofessional rehabilitation program compared to the usual care in patients with CLBP. Sample size: The investigators will recruit a total of 40 (i.e., 20 in the intervention group and 20 in the control group) patients with CLBP. A simple block randomization method with random block sizes of 4 to 8 will be employed to randomize participants into the intervention and control groups. Data collection procedures: The data will be collected by a trained research assistant who will be blind to the group assignment using interviewer administered approach at three time points: at baseline before the start of the intervention, the 5th week immediately following the final visit for the intervention, and the 17th week (after 12 weeks of intervention completion) to investigate whether the effects are sustained over time after the completion of the intervention. In addition to the primary and secondary outcome measures, the study participants' socio-demographic and behavioural characteristics, such as age, sex, educational level, marital status, and physical activities, will be collected at the baseline. A two-day training will be given to data collectors about the trial process, outcome measures, and tools used by PI. For the embedded qualitative interviews, a principal investigator will conduct a face-to-face, in-depth interview with treating health professionals and study participants during the intervention phase. A semi-structured interview guide will be used to conduct an interview. The interview will be conducted to explore the acceptability of the intervention and barriers and facilitators associated with the implementation of the intervention from both treating health professionals' and participants' perspectives. The investigators will also explore the perceptions and experiences of the study participants about the intervention they have received. Data management and statistical analysis: Descriptive statistics like mean, standard deviation, proportions, and frequency distributions of all variables will be computed. The quantitative data analysis will be performed using SPSS version 27. The main analysis will be performed according to the intention-to-treat (ITT) principle. Content analysis as described by Elo and Kyngäs will be used to analyze the qualitative data.