SPIN Self-Management Feasibility Trial With Progression to Full-scale Trial (SPIN-SELF)

----------------------- OBJECTIVES

The primary objective of the SPIN-SELF feasibility trial with progression to full-scale RCT is to evaluate the disease management self-efficacy of participants who use SPIN's online self-management program (SPIN-SELF), compared to usual care. Secondary objectives are to assess the effect of SPIN-SELF on patient activation (i.e. the extent to which patients effectively engage with and manage their own health), social appearance anxiety, functional health outcomes, as well as usage of the SPIN-SELF program and patient satisfaction with the format and delivery.

----------------------- RECRUITMENT

The SPIN Cohort currently includes over 2000 SSc patients from 47 sites in Canada, the United States, Mexico, Australia, and France, Spain, and the United Kingdom. SPIN Cohort participants complete outcome measures via the Internet upon enrolment and subsequently every three months. Eligible patients, based on questionnaire responses (Self-Efficacy for Managing Chronic Disease (SEMCD) Scale ≤ 7), will be invited to participate in the SPIN-SELF feasibility trial with progression to full-scale trial. Additionally, recruitment announcements for the SPIN-SELF feasibility and full-scale trials will be posted on SPIN's Facebook page and Twitter account and distributed for posting via SPIN's patient organization partners in countries with large English and French-speaking populations. The non-SPIN Cohort participants' eligibility will be assessed with the SEMCD Scale. In the feasibility portion, only English-speaking participants will be included. In the full-scale trial, English and French-speaking participants will be included. An anticipated 40 eligible participants will be recruited into the feasibility portion, and an anticipated 524 eligible participants will be recruited into the SPIN-SELF full-scale RCT.

----------------------- PROGRESSION FROM SPIN-SELF FEASIBILITY TRIAL TO FULL-SCALE TRIAL

The investigators will launch the SPIN-SELF trial as a feasibility trial with possible progression to full-scale trial. Thus, in the feasibility portion of the proposed study, the trial team will collect data to improve several aspects of the trial's processes. At the completion of the feasibility portion, the trial team plans to proceed directly to the full-scale trial, including results from the feasibility stage in the full-scale trial, unless one or more of the stoppage criteria occur. In that case, the trial team will address issues that are identified and begin the full-scale trial anew, separate from the feasibility trial. The stoppage criteria are the following:

1. Recruitment and enrolment of trial participants: If participants who are eligible based on their self-efficacy scores (SEMCD ≤ 7) are not recorded as eligible in the eligibility report on the new SPIN Cohort platform (gen2) and not recruited, then the programming errors in the new platform will need to be addressed and procedures will need to be re-set before the full-scale trial can commence. If more than 6 non-eligible participants (15% of 40 enrolled in feasibility trial) are erroneously identified as eligible and assigned to the intervention or waitlist control, the trial team would address programming errors, modify procedures and conduct the full-scale trial as a new trial.
2. Fidelity of the delivery of the intervention (i.e., group sessions): If by the end of the feasibility trial > 20% of the components of the 8 sessions were not delivered according to the pre-specified program, the trial team will investigate to identify barriers to the delivery of the intervention and will modify the intervention procedures accordingly, before proceeding to the full-scale trial. The full-scale trial would need to commence as a new trial.
3. Group format of the SPIN-SELF sessions: If participants across groups consistently suggest similar changes to the format of the SPIN-SELF program, then the trial team would modify the format of the intervention sessions according to this consensus feedback. These modifications would be made before commencing the full-scale trial as a new trial. At the end of the SPIN-SELF feasibility trial, the investigators will use the collected information and evaluation of the stoppage criteria to decide whether to: (1) Continue to the full-scale RCT without modifications to the trial procedures, (2) Modify trial procedures based on participant feedback before continuing to the full-scale trial, or (3) Modify the trial procedures before re-setting them and conducting the full-scale RCT as a new trial (in this case, outcome data collected during the feasibility phase will not be included in the analyses of the full-scale trial). ----------------------- RANDOMISATION Monthly, consented participants will be entered into pools based on language and scheduling availability. De-identified codes for participants in each pool will be provided to an external randomisation service. Starting with the largest pool, the service will randomly select the largest possible even number of participants (12 to 20 participants) then randomly allocate half to intervention and half to control via single block randomisation using R version 3.6.3. This will be repeated to form as many groups of 6-10 participants and paired waitlist participants as possible each month until the enrolment target is met. ----------------------- INTERVENTION The SPIN-SELF Program is an 8-session group videoconference intervention that is delivered over the course of 12 weeks. Each videoconference-based intervention group will be led by a facilitator who has been trained in the SPIN- Scleroderma Support Group Leader Education (SSLED) Program. ----------------------- STATISTICAL ANALYSES Consistent with the feasibility trial design and small sample size, no hypothesis tests are planned for the feasibility portion of the trial. Instead, the investigators will present a description of the feasibility elements, including participants' eligibility and recruitment and numbers and percentages of participants who respond to follow-up measures. Use of the internet intervention will be described by presenting the frequency of logins and usage of the specific SPIN-SELF modules. Analysis of outcome measures will include the completeness of data and presence of floor or ceiling effects. Descriptive statistics will be used to provide means and standard deviations for the measures. Qualitative information on participants' experience using the SPIN-SELF intervention will be used to interpret acceptability related to the group-sessions format, content of the sessions and online program, webpage organization, and navigation. Information related to required resources and management of the program during feasibility will inform any necessary changes to intervention or trial procedures. In the full-scale trial, for continuous outcomes, the investigators will use an intent-to-treat analysis to estimate score differences between intervention and waitlist participants with a linear mixed-effects model fit using the lmer function in lme4. Score differences and Hedges' g SMD effect size will be presented with 95% confidence intervals (CIs). To estimate odds ratios for the dichotomous MCID, intent-to-treat analysis will be done with a binomial generalized linear mixed-effects models with a log link function fit using the glmer function in lme4. For all models, to account for clustering in the blocked PN-RCT design, the investigators will fit a random intercept and slope for treatment effect by randomisation block and an additional random slope for treatment by intervention group cluster. In main analyses, in addition to a fixed effect for assignment to the intervention arm, the investigators will include a fixed effect for baseline score. In adjusted analyses, the investigators will also control for age (years), sex (male vs. female), SSc disease subtype (diffuse vs. limited), disease duration (years since diagnosis), and country (Canada, France, USA, other) as fixed effects. In the event of missing outcome data, to minimize the possibility of bias, the investigators will use multiple imputation by chained equations using the mice package to generate 20 imputed datasets, using 15 cycles per imputed dataset. Variables in the mice procedure will include randomisation block, intervention arm, number of intervention sessions attended, measures of all primary and secondary outcomes at baseline and post-intervention, age, sex, SSc disease subtype, years since diagnosis, country, and race/ethnicity. Pooled standard errors and associated 95% CIs will be estimated using Rubin's rules. To estimate average intervention effects among compliers, which will be defined based on the number of sessions completed, the investigators will use an instrumental variable approach to inflate intent-to-treat effects from main models by the inverse probability of compliance among intervention arm participants; 95% CIs will be constructed via a cluster bootstrap approach, resampling at study randomisation block and participant levels. For transparency, results for participants with complete data will also be shown. Participant satisfaction scores for the intervention group will be reported descriptively. All outcome analyses will be conducted in R (R version 3.6.3; R Studio version 1.2.5042). All analyses will be 2-sided with alpha = 0.05. The investigators will not adjust for multiple analyses since a single primary outcome was identified a priori.