Journal article
Statistical analysis plan for Love Your Brain: a multi-arm randomised controlled trial of a stroke prevention digital platform
Trials, Vol.27(1), pp.1-11
31/03/2026
PMID: 41742274
Appears in Recent Faculty of Health Publications
Metrics
1 Record Views
Abstract
Background: Stroke is common, affecting an estimated one in four people in their lifetime. Fortunately, stroke is also highly preventable. With the rise in digital literacy and the increasing adoption of digital health tools, a promising avenue for stroke prevention is through digitally‑delivered interventions. Love Your Brain: A stroke prevention digital platform is a three‑year research project to develop and evaluate a digital platform to 1) increase participant visits to their medical practitioner for assessment or management of cardiovascular risk factors (primary outcome); and 2) improve participants' health‑related stroke knowledge, adherence to prevention medications and uptake of healthy or risk‑modifying behaviour (secondary outcomes). The project is a multi‑arm randomised controlled trial, comparing the common control arm to each of the intervention arms (either an online course or text messages). We present the statistical analysis plan for this trial.
Methods/design: Participants are randomised 1:1:1 in variable block sizes, with stratification balancing by age and sex. The sample size of 894 participants was calculated to detect a 30% relative intervention effect, with 80% power and 5% significance level (two‑sided). Recruitment will end when the sample size is achieved (adjusting for ≤ 10% attrition rate). The primary outcome will be compared separately for each intervention arm with the common control arm. As the outcome is binary, log‑binomial regression models will be used with adjustment for stratification variables (i.e., gender, age groups [45–64 and >= 65 years]) and covariates that demonstrate imbalances between arms at baseline. Secondary outcomes will be evaluated using generalised mixed effects regression models (including linear, log‑binomial, or quantile regression). The primary outcome analysis will be based on intention‑to‑ treat. A p‑value ≤ 0.05 will indicate statistical significance.
Conclusions: This statistical analysis plan ensures transparency in reporting the trial outcomes. Love Your Brain will provide novel evidence on the effectiveness of two digital health education platforms for the prevention of stroke.
Details
- Title
- Statistical analysis plan for Love Your Brain: a multi-arm randomised controlled trial of a stroke prevention digital platform
- Creators
- M. F. Kilkenny - The University of MelbourneS. L. Gall - University of TasmaniaD. A. Cadilhac - The University of MelbourneA. G. Thrift - Monash UniversityM. R. Nelson - University of TasmaniaJ. Bray - Monash UniversityJ. Cameron - Monash UniversityT. Kleinig - Royal Adelaide HospitalL. Murphy - National Stroke FoundationT. Purvis - Monash UniversityR. Freak-Poli - Monash UniversityC. Burns - Monash UniversityC. Farmer - University of TasmaniaB. Bullas - National Stroke FoundationL. L. Dalli - Monash UniversityE. Horton - National Stroke FoundationB. Booth - National Stroke FoundationS. Ho - National Stroke FoundationM. T. Olaiya - Monash University
- Publication Details
- Trials, Vol.27(1), pp.1-11
- Publisher
- Springer Nature
- Grant note
- Love Your Brain: A stroke prevention digital platform is a collaboration between Monash University, Menzies Institute for Medical Research (Menzies) and Stroke Foundation, and was funded by an Australian Government Medi‑ cal Research Future Fund Cardiovascular Health Mission targeted call (MRFF#2015976). The online course development was also supported by philanthropic funding from Tasmanian Iconic Walks.
- Identifiers
- 991013402968102368
- Copyright
- © The Author(s) 2026
- Academic Unit
- Faculty of Health
- Language
- English
- Resource Type
- Journal article