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Title: | Statistical analysis plan for the Recovery-focused Community support to Avoid readmissions and improve Participation after Stroke randomised controlled clinical trial. | Austin Authors: | Kilkenny, Monique F;Olaiya, Muideen T;Cameron, Janette;Lannin, Natasha A;Andrew, Nadine E;Thrift, Amanda G;Hackett, Maree;Kneebone, Ian;Drummond, Avril;Thijs, Vincent N ;Brancatisano, Olivia;Kim, Joosup;Reyneke, Megan;Hancock, Shaun;Allan, Liam;Ellery, Fiona;Cloud, Geoffrey;Grimley, Rohan S;Middleton, Sandy;Cadilhac, Dominique A | Affiliation: | The Florey Institute of Neuroscience and Mental Health Department of Neurosciences, Central Clinical School, Monash University, Melbourne, Australia.;Alfred Health, Melbourne, Australia. Department of Medicine, Peninsula Clinical School, Central Clinical School, Monash University, Clayton, Australia.;National Centre for Healthy Ageing, Monash University, Frankston, Australia. Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia. The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia. Graduate School of Health, Faculty of Health, Graduate School of Health, University of Technology Sydney, Ultimo, Australia. Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK. General Medicine Department of Neuroscience, Central Clinical School, Monash University, Clayton, Australia.;Stroke Services, Alfred Health, Melbourne, Australia. School of Medicine and Dentistry, Griffith University, Birtinya, Australia. Nursing Research Institute, St Vincent's Health Network Sydney and Australian Catholic University, Sydney, Australia. |
Issue Date: | 23-Jan-2024 | Date: | 2024 | Publication information: | Trials 2024-01-23; 25(1) | Abstract: | Unplanned hospital presentations may occur post-stroke due to inadequate preparation for transitioning from hospital to home. The Recovery-focused Community support to Avoid readmissions and improve Participation after Stroke (ReCAPS) trial was designed to test the effectiveness of receiving a 12-week, self-management intervention, comprising personalised goal setting with a clinician and aligned educational/motivational electronic messages. Primary outcome is as follows: self-reported unplanned hospital presentations (emergency department/admission) within 90-day post-randomisation. We present the statistical analysis plan for this trial. Participants are randomised 1:1 in variable block sizes, with stratification balancing by age and level of baseline disability. The sample size was 890 participants, calculated to detect a 10% absolute reduction in the proportion of participants reporting unplanned hospital presentations/admissions, with 80% power and 5% significance level (two sided). Recruitment will end in December 2023 when funding is expended, and the sample size achieved will be used. Logistic regression, adjusted for the stratification variables, will be used to determine the effectiveness of the intervention on the primary outcome. Secondary outcomes will be evaluated using appropriate regression models. The primary outcome analysis will be based on intention to treat. A p-value ≤ 0.05 will indicate statistical significance. An independent Data Safety and Monitoring Committee has routinely reviewed the progress and safety of the trial. This statistical analysis plan ensures transparency in reporting the trial outcomes. ReCAPS trial will provide novel evidence on the effectiveness of a digital health support package post-stroke. ClinicalTrials.gov ACTRN12618001468213. Registered on August 31, 2018. SAP version 1.13 (October 12 2023) Protocol version 1.12 (October 12, 2022) SAP revisions Nil. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/35009 | DOI: | 10.1186/s13063-023-07864-2 | ORCID: | 0000-0002-3375-287X 0000-0002-4070-0533 0000-0002-3335-904X 0000-0002-2066-8345 0000-0002-4846-2840 0000-0001-8533-4170 0000-0003-1211-9087 0000-0003-3324-7264 0000-0003-1220-8354 0000-0002-6614-8417 0000-0001-9139-3046 0000-0002-4079-0428 0000-0003-2902-4666 0000-0002-2015-2752 0000-0001-9291-080X 0000-0002-8365-6907 0000-0002-7006-6908 0000-0002-7201-4394 0000-0001-8162-682X |
Journal: | Trials | Start page: | 78 | PubMed URL: | 38263172 | ISSN: | 1745-6215 | Type: | Journal Article | Subjects: | Digital health Randomised controlled clinical trial Statistical analysis plan Stroke eHealth |
Appears in Collections: | Journal articles |
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