Evidence map›Paper›PMID 38263172›Full record

Trial reportTrials2024

Statistical analysis plan for the Recovery-focused Community support to Avoid readmissions and improve Participation after Stroke randomised controlled clinical trial.

Monique F Kilkenny, Muideen T Olaiya, Janette Cameron, Natasha A Lannin, Nadine E Andrew, Amanda G Thrift, Maree Hackett, Ian Kneebone, Avril Drummond, Vincent Thijs and 11 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Monique F Kilkenny *Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0002-3375-287X
Muideen T Olaiya *Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0002-4070-0533
Janette CameronStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0002-3335-904X
Natasha A LanninDepartment of Neurosciences, Central Clinical School, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0002-2066-8345
Nadine E AndrewDepartment of Medicine, Peninsula Clinical School, Central Clinical School, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0002-4846-2840
Amanda G ThriftStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0001-8533-4170
Maree HackettThe George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0003-1211-9087
Ian KneeboneGraduate School of Health, Faculty of Health, Graduate School of Health, University of Technology Sydney, Ultimo, Australia.ORCID https://orcid.org/0000-0003-3324-7264
Avril DrummondFaculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0003-1220-8354
Vincent ThijsDepartment of Medicine, Austin Health, Heidelberg, VIC, Australia.ORCID http://orcid.org/0000-0002-6614-8417
Olivia BrancatisanoStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0001-9139-3046
Joosup KimStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0002-4079-0428
Megan ReynekeStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0003-2902-4666
Shaun HancockStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0002-2015-2752
Liam AllanStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0001-9291-080X
Fiona ElleryStroke Division, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, Australia.
Geoffrey CloudDepartment of Neuroscience, Central Clinical School, Monash University, Clayton, Australia.ORCID http://orcid.org/0000-0002-8365-6907
Rohan S GrimleySchool of Medicine and Dentistry, Griffith University, Birtinya, Australia.ORCID http://orcid.org/0000-0002-7006-6908
Sandy MiddletonNursing Research Institute, St Vincent's Health Network Sydney and Australian Catholic University, Sydney, Australia.ORCID http://orcid.org/0000-0002-7201-4394
Dominique A CadilhacStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia. dominique.cadilhac@monash.edu.ORCID http://orcid.org/0000-0001-8162-682X
Recovery-focused Community support to Avoid readmissions and improve Participation after Stroke (ReCAPS) investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnplanned 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. METHODS/

designParticipants 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.

conclusionsThis 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.

trial registrationClinicalTrials.gov ACTRN12618001468213. Registered on August 31, 2018. SAP version 1.13 (October 12 2023) Protocol version 1.12 (October 12, 2022) SAP revisions Nil.

Indexed as

Community SupportStrokeDigital HealthEducational StatusElectronicsHumansPatient ReadmissionDigital healtheHealthRandomised controlled clinical trialStatistical analysis planStroke

Identifiers

PMID38263172
PMCPMC10804563

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.