INSELMA - a Randomised Controlled Trial

Approximately 30% of patients with inflammatory arthritis (IA) experience substantial disease impact despite optimal pharmacological treatment. In this trial, autoimmune chronic inflammatory arthritis (IA) includes rheumatoid arthritis (RA), psoriatic arthritis (PsA), and axial spondyloarthritis (axSpA). IA is characterised by recurrent episodes of inflammation, swelling, and tenderness of peripheral and/or axial joints. If untreated, IA can lead to joint damage, deformities, and loss of function. Despite a consistent focus on treating inflammation, people with IA still have unmet needs. Approximately 30% do not respond sufficiently to treatment with disease modifying drugs, and thus, they do not achieve remission or a state of low disease activity. Moreover, even patients considered to be in a state of remission or low disease activity often experience substantial physical, psychological, and social impact of IA on their everyday lives. A substantial part reports morning stiffness, pain, fatigue, sleep problems, anxiety, depressed mood as well as reduced mobility, work ability and decreased quality of life. These people need individually tailored self-management support from various disciplines to be able to manage the challenges they experience in their everyday life. This need can be met through person centred biopsychosocial rehabilitation including self-management support from an interdisciplinary team of professionals, such as rheumatologists, nurses, physiotherapists (PTs), occupational therapists (OTs), and social worker focusing on enabling independence and a meaningful life with the best possible social participation and supported by others. So far, the evidence for the effect of interdisciplinary biopsychosocial rehabilitation and outpatient self-management interventions to people with IA and substantial impact of their arthritis is scarce. We thus developed a novel six-month Interdisciplinary Nurse-coordinated SELf-MAnagement intervention (INSELMA) for patients with IA and substantial disease impact. The aim of this trial is to test the efficacy of the 6-months INSELMA intervention compared to usual care for people with IA and substantial disease impact in a randomised controlled trial (RCT). The development of the INSELMA intervention followed the British Medical Research Council's updated framework for developing and test of complex interventions. Relevant stakeholders were involved (patient representatives, various health professionals from hospitals and municipalities and hospital managers). Theories underpinning the intervention are self-efficacy, Acceptance and Commitment Therapy (ACT), and health literacy (HL). A feasibility test of the INSELMA intervention on 18 participants from Rigshospitalet-Glostrup in Copenhagen and the Danish Hospital for Rheumatic Diseases in Sønderborg has been conducted. In total 17 patients completed the intervention. Eight hours support from the health professionals (HPs) led to a tendency towards increase of the participants' quality of life, mental well-being, self-efficacy, and a decrease in symptoms of anxiety, depression, fatigue, and pain. Individual interviews with participants revealed that they experienced the INSELMA intervention as a great opportunity to reduce long-held challenges they had fought alone, until now. They experienced that the intervention was adapted to their specific needs and considered the six-month empathic and goal oriented support from the coordinating nurse and from physio- and occupational therapists, to be essential. It was important with time in between consultations to work towards the goals. The participants experienced decreased disease impact and improved self-management ability. Based on these positive results, the intervention is considered feasible, meaningful and promising. It is now relevant to test these proof of concept findings in a larger trial. Hypothesis: The trial is based on a two-sided superiority framework where the primary null hypothesis is that there is no immediate difference between the groups (H0: µ\[I\] = µ\[C\]) on change in health related quality of life (HRQoL) (primary outcome) measured by European Quality of life 5 Dimensions, 5 levels (EQ-5D-5L) index from baseline to end of intervention (6 months after baseline). Data collection and management: Disease related information and Patient Reported Outcomes will be collected using REDCap. A link to the questionnaires will be sent to the participants' electronic mailbox (e-Boks). In case a participant does not use e-Boks, the questionnaires will be sent by postal mail. Recruitment: Participants will be recruited from the rheumatology outpatient departments at the Danish Hospital for Rheumatic Diseases in Sønderborg, Rigshospitalet-Glostrup and Frederiksberg Hospital, Copenhagen, Denmark. Participants are recruited through the national Danish Rheumatology Database (DANBIO) and the clinical consultations based on their response to the standard questionnaires in DANBIO. If their responses fulfil the initial inclusion criteria (age, diagnosis and response to Patient Acceptable Symptom State (PASS), VAS fatigue, -pain and global health), a popup text will appear at the screen with a short information about the opportunity for support in the INSELMA trial. If the patients are interested to hear more, they can add their telephone number. A research assistant will send written participant information to the interested patients' electronic mail box or by postal mail and contact them by phone within 10 working days to offer more information about the trial. If the patient is still interested to participate and fulfills the remaining in- and exclusion criteria, consent material is sent to the patient's e-Boks or by postal mail. After written consent is obtained, baseline questionnaires are sent to the participants the same way. Randomisation and blinding: The participants (N=120) will be allocated to either usual care (control group, n=60) or to the INSELMA intervention (intervention group, n=60). Participants will be allocated in ratio 1:1 in permuted blocks of 2 to 6 stratified by trial site (3 levels) and diagnosis (RA, axSpA or PsA). The randomisation sequences will be generated using REDCap. It is not possible to blind the intervention to the participants and the healthcare professionals in this trial. To ensure blinding in the analyses, all participants will be given a number for reference and the person performing the statistical analyses will be blinded to allocation group. The research nurse will inform the participants about group allocation. Sample size: This superiority trial is powered to show a statistically significant difference between the participants allocated to the INSELMA intervention and those allocated to usual care. Using data from our previous feasibility study (N=17), it is estimated the EQ5D-5L VAS on a 0-100 scale at baseline to have a mean of 44 points (Standard Deviation (SD) 15) in the target population. Target Difference: Based on an estimated minimal important difference between groups of 8.0, a SD of 15 (corresponding to a Cohen's effect size of \>0.50), a statistical power of at least 80%, and a two-sided statistical significance level of 0.05, 114 patients will be required for the intention-to-treat population (i.e., 57 patients in each group). Expecting some attrition and drop-outs during the trial period, 120 patients (i.e., 60 patients in each group) will be included, potentially corresponding to a statistical power of more than 83% to detect a difference between groups in the intention-to-treat population. Adverse events and harms: All participants will continue usual care and will be monitored throughout the intervention period to detect any unintended events. Specific attention will be towards covering any serious adverse events, and mortalities. Statistical analyses Descriptive statistics and measures will be stratified by group and will be reported as Means or Medians, and Standard Deviations (SDs) or Interquartile ranges depending on the empirical data distribution. Categorical Variables will be reported as absolute counts and proportions (percentages) for each group. Statistical analyses will be based on the intention to treat (ITT) principle, including all randomised participants independent of adherence etc. Missing data will be handled indirectly by using mixed effect effects models for the main analyses. The primary and key secondary continuous outcomes will be analysed according to the ITT population using repeated-measures linear mixed models, including a factor for treatment group (2 levels) and time, the interaction between both, and adjustments for baseline values and stratification factors. The responder indices will be analysed using logistic regression models, including a factor for group and adjustment for stratification factors, and conservatively assuming missing data to be from non-responders. Odds ratios with 95% CIs will be estimated and converted into approximate risk ratios, and interpreted as numbers needed to treat (NNT) when appropriate. All P values and 95% confidence intervals will be two sided. A full statistical analysis plan will be developed together with the senior trial biostatistician. The essential analyses will be available and published online at Clinicaltrials.gov before enrolment of the last participant. Ethical considerations The trial will comply with the ethical principles described in the Helsinki Declaration. All participants will receive oral and written information about the trial before participation. After time for consideration, written informed consent is obtained. The participants are informed that they can withdraw from the trial at any time without losing any right to further treatment in the outpatient department currently and in the future. In case they wish to withdraw, they will be asked if they still agree to the use of their data in the analyses. The participants' consent gives the researchers access to relevant health information in DANBIO and the electronic medical journal to be able to conduct, monitor and control the trial. Data are stored and managed in Open Patient data Explorative Network (OPEN), which is a safe storage and analysis environment in the Region of Southern Denmark complying with the General Data Protection Regulations and the Danish data protection law. The trial is supported by the departmental managers at the involved hospitals and the patient representatives in the user council in the Danish Center for Expertise in Rheumatology at the Danish Hospital for Rheumatic Diseases.