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Statistical analysis plan for the Recovery-focused Community support to Avoid readmissions and improve Participation after Stroke randomised controlled clinical trial
by
Hancock, Shaun
, Kilkenny, Monique F.
, Thijs, Vincent
, Hackett, Maree
, Allan, Liam
, Reyneke, Megan
, Cadilhac, Dominique A.
, Drummond, Avril
, Kim, Joosup
, Lannin, Natasha A.
, Cameron, Janette
, Brancatisano, Olivia
, Andrew, Nadine E.
, Kneebone, Ian
, Ellery, Fiona
, Olaiya, Muideen T.
, Middleton, Sandy
, Thrift, Amanda G.
, Cloud, Geoffrey
, Grimley, Rohan S.
in
Biomedicine
/ Clinical trials
/ Committees
/ Community Support
/ Digital Health
/ E-health
/ Education
/ Educational Status
/ eHealth
/ Electronics
/ Emergency medical care
/ Goal setting
/ Health Sciences
/ Hospitals
/ Humans
/ Management
/ Medicine
/ Medicine & Public Health
/ Patient Readmission
/ Prevention
/ Randomised controlled clinical trial
/ Recovery (Medical)
/ Risk factors
/ Statistical analysis
/ Statistical analysis plan
/ Statistics for Life Sciences
/ Stroke
/ Stroke (Disease)
/ Telemedicine
/ Text messaging
/ Update
2024
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Statistical analysis plan for the Recovery-focused Community support to Avoid readmissions and improve Participation after Stroke randomised controlled clinical trial
by
Hancock, Shaun
, Kilkenny, Monique F.
, Thijs, Vincent
, Hackett, Maree
, Allan, Liam
, Reyneke, Megan
, Cadilhac, Dominique A.
, Drummond, Avril
, Kim, Joosup
, Lannin, Natasha A.
, Cameron, Janette
, Brancatisano, Olivia
, Andrew, Nadine E.
, Kneebone, Ian
, Ellery, Fiona
, Olaiya, Muideen T.
, Middleton, Sandy
, Thrift, Amanda G.
, Cloud, Geoffrey
, Grimley, Rohan S.
in
Biomedicine
/ Clinical trials
/ Committees
/ Community Support
/ Digital Health
/ E-health
/ Education
/ Educational Status
/ eHealth
/ Electronics
/ Emergency medical care
/ Goal setting
/ Health Sciences
/ Hospitals
/ Humans
/ Management
/ Medicine
/ Medicine & Public Health
/ Patient Readmission
/ Prevention
/ Randomised controlled clinical trial
/ Recovery (Medical)
/ Risk factors
/ Statistical analysis
/ Statistical analysis plan
/ Statistics for Life Sciences
/ Stroke
/ Stroke (Disease)
/ Telemedicine
/ Text messaging
/ Update
2024
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Statistical analysis plan for the Recovery-focused Community support to Avoid readmissions and improve Participation after Stroke randomised controlled clinical trial
by
Hancock, Shaun
, Kilkenny, Monique F.
, Thijs, Vincent
, Hackett, Maree
, Allan, Liam
, Reyneke, Megan
, Cadilhac, Dominique A.
, Drummond, Avril
, Kim, Joosup
, Lannin, Natasha A.
, Cameron, Janette
, Brancatisano, Olivia
, Andrew, Nadine E.
, Kneebone, Ian
, Ellery, Fiona
, Olaiya, Muideen T.
, Middleton, Sandy
, Thrift, Amanda G.
, Cloud, Geoffrey
, Grimley, Rohan S.
in
Biomedicine
/ Clinical trials
/ Committees
/ Community Support
/ Digital Health
/ E-health
/ Education
/ Educational Status
/ eHealth
/ Electronics
/ Emergency medical care
/ Goal setting
/ Health Sciences
/ Hospitals
/ Humans
/ Management
/ Medicine
/ Medicine & Public Health
/ Patient Readmission
/ Prevention
/ Randomised controlled clinical trial
/ Recovery (Medical)
/ Risk factors
/ Statistical analysis
/ Statistical analysis plan
/ Statistics for Life Sciences
/ Stroke
/ Stroke (Disease)
/ Telemedicine
/ Text messaging
/ Update
2024
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Statistical analysis plan for the Recovery-focused Community support to Avoid readmissions and improve Participation after Stroke randomised controlled clinical trial
Journal Article
Statistical analysis plan for the Recovery-focused Community support to Avoid readmissions and improve Participation after Stroke randomised controlled clinical trial
2024
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Overview
Background
Unplanned hospital presentations may occur post-stroke due to inadequate preparation for transitioning from hospital to home. The
Re
covery-focused
C
ommunity support to
A
void readmissions and improve
P
articipation after
S
troke (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/design
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.
Conclusions
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.
Trial registration
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
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
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