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Trial registered on ANZCTR
Registration number
ACTRN12619001589178
Ethics application status
Approved
Date submitted
28/10/2019
Date registered
19/11/2019
Date last updated
19/11/2019
Date data sharing statement initially provided
19/11/2019
Type of registration
Prospectively registered
Titles & IDs
Public title
The SyNApTIC Study – SarcopeNia, frAilTy, and malnutrition in geriatrIC rehabilitation
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Scientific title
The SyNApTIC Study – SarcopeNia, frAilTy, and malnutrition in geriatrIC rehabilitation
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Secondary ID [1]
299496
0
Nil known
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Universal Trial Number (UTN)
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Trial acronym
SyNApTIC
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Sarcopenia
314741
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Frailty
314742
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Malnutrition
314740
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Condition category
Condition code
Diet and Nutrition
313072
313072
0
0
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Other diet and nutrition disorders
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Physical Medicine / Rehabilitation
313073
313073
0
0
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Physiotherapy
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Intervention/exposure
Study type
Observational
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Patient registry
False
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Target follow-up duration
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Target follow-up type
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Description of intervention(s) / exposure
Geriatric patients undergoing inpatient rehabilitation will be assessed for malnutrition, sarcopenia, frailty, functional independence, and quality of life at admission to the rehabilitation ward. Patients will be required to consent to access medical records, complete a questionnaire, physical examinations, and interviews. The questionnaire, physical examinations, and interviews will take approximately 1 hour. These measures will be assessed again at discharge, and data on other patient-centred outcomes (rehabilitation length of stay, pressure ulcers, falls, infections, and mortality) will also be obtained from medical records. At 1-month post-discharge, data on quality of life, readmissions, pressure ulcers, falls, infections, and mortality will be collected.
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Intervention code [1]
315753
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Not applicable
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Comparator / control treatment
Uncontrolled
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Control group
Uncontrolled
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Outcomes
Primary outcome [1]
321907
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Prevalence of the syndromes malnutrition, sarcopenia, and frailty
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Assessment method [1]
321907
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Timepoint [1]
321907
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Admission and discharge
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Secondary outcome [1]
375604
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Falls by accessing patient's medical records
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Assessment method [1]
375604
0
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Timepoint [1]
375604
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Discharge (falls during admission) and 1-month post-discharge (falls between discharge and 1-month post discharge)
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Secondary outcome [2]
375602
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Rehospitalisation by accessing the patient's medical records
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Assessment method [2]
375602
0
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Timepoint [2]
375602
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Discharge and 1-month post-discharge
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Secondary outcome [3]
375599
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Functional independence measure (FIM) score
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Assessment method [3]
375599
0
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Timepoint [3]
375599
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Admission and discharge
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Secondary outcome [4]
375600
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Rehabilitation length of stay by accessing the patient's medical records
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Assessment method [4]
375600
0
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Timepoint [4]
375600
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Discharge
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Secondary outcome [5]
375606
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In-rehabilitation mortality
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Assessment method [5]
375606
0
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Timepoint [5]
375606
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Discharge
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Secondary outcome [6]
375605
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Infections by accessing the patient's medical records
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Assessment method [6]
375605
0
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Timepoint [6]
375605
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Discharge (infections during admission) and 1-month post-discharge (infections between discharge and 1-month post discharge)
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Secondary outcome [7]
375607
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Mortality
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Assessment method [7]
375607
0
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Timepoint [7]
375607
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1-month post-discharge
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Secondary outcome [8]
375601
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Aged care admission by accessing the patient's medical records
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Assessment method [8]
375601
0
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Timepoint [8]
375601
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Discharge and 1-month post-discharge
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Secondary outcome [9]
375603
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Pressure ulcers by accessing the patient's medical records
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Assessment method [9]
375603
0
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Timepoint [9]
375603
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Discharge (pressure ulcers during admission) and 1-month post-discharge (pressure ulcers between discharge and 1-month post discharge)
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Secondary outcome [10]
376733
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Quality of Life using EQ-5D-5L
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Assessment method [10]
376733
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Timepoint [10]
376733
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Admission, discharge, and 1-month post-discharge
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Eligibility
Key inclusion criteria
Adults 65 years or older, admitted to Robina Rehabilitation between 1 September 2019 and 31 January 2020 for <72 hours.
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Minimum age
65
Years
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Maximum age
No limit
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Sex
Both males and females
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Can healthy volunteers participate?
No
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Key exclusion criteria
Cognitive impairment or unable to provide consent (as assessed by the Senior Geriatrician Consultant or medical doctor). Assessment is contraindicated (too unwell etc.) as assessed by health care professional or the researcher. Patient is non-English speaking and a translator is unavailable.
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Study design
Purpose
Natural history
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Duration
Longitudinal
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Selection
Defined population
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Timing
Prospective
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Statistical methods / analysis
Sample size was calculated to reflect the primary predictive outcome of quality of life as determined by the Assessment of Quality of Life (AQoL-6D). Based on previously published data, the estimated effect size is a score of 5 points (scale 0 to 30) with a standard deviation of 6. Therefore, with 90% power and type I error of 1%, the target sample size is 170 patients, accounting for 40% attrition and 15% for multivariable modelling.
A 3 by 3 contingency table and kappa statistic will be generated to test the sensitivity, specificity, positive and negative predictive values (all with 95%CI) of each assessment method to determine the level of overlap.
T-tests and chi-square tests will be used to test differences between subgroups. Multivariate linear regression or multivariate binomial logistic regression will be used to test the predictive validity of each diagnostic test depending on whether the dependent variables are continuous or dichotomous. Variables will be added to the model to control for confounding by age, gender and any other relevant confounders. As part of the diagnostic accuracy, responsiveness to change will be evaluated by comparing the result of baseline against discharge malnutrition, sarcopenia, and frailty assessments using t-tests and chi-square tests.
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Recruitment
Recruitment status
Not yet recruiting
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Date of first participant enrolment
Anticipated
4/12/2019
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Actual
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Date of last participant enrolment
Anticipated
22/02/2021
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Actual
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Date of last data collection
Anticipated
19/04/2021
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Actual
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Sample size
Target
170
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Accrual to date
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Final
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Recruitment in Australia
Recruitment state(s)
QLD
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Recruitment hospital [1]
14937
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Robina Hospital - Robina
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Recruitment postcode(s) [1]
28207
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4226 - Robina
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Funding & Sponsors
Funding source category [1]
303995
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University
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Name [1]
303995
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Bond University
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Address [1]
303995
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2 Promethean Way, Robina, QLD, 4226
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Country [1]
303995
0
Australia
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Funding source category [2]
304168
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Hospital
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Name [2]
304168
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Robina Hospital
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Address [2]
304168
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2 Bayberry Lane, Robina, QLD, 4226
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Country [2]
304168
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Australia
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Primary sponsor type
University
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Name
Bond University
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Address
2 Promethean Way, Robina, Queensland, 4226
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Country
Australia
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Secondary sponsor category [1]
304221
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None
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Name [1]
304221
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Address [1]
304221
0
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Country [1]
304221
0
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
304488
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Gold Coast Hospital and Health Service HREC
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Ethics committee address [1]
304488
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Office for Research Governance and Development Level 2 Block E – Pathology and Education 1 Hospital Boulevard Southport, QLD, 4215
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Ethics committee country [1]
304488
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Australia
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Date submitted for ethics approval [1]
304488
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01/10/2019
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Approval date [1]
304488
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21/10/2019
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Ethics approval number [1]
304488
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Summary
Brief summary
There is a high prevalence of malnutrition, sarcopenia (loss of muscle), and frailty (weakness) in older adults, including in rehabilitation. This study aims to assess how these syndromes overlap and how well each diagnostic tool can predict patient outcomes. This information will help to determine which syndromes should be assessed for on admission to rehabilitation so that intervention is directed appropriately, patients are not subjected to unnecessary tests, and the risk of poor outcomes for patients can be reduced. It is hypothesised that all three diagnoses will identify the same patients and that we will be able to find the condition that is the best predictor of poor outcomes.
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Trial website
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
97122
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Dr Barbara van der Meij
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Address
97122
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Bond Institute of Health and Sport 2 Promethean Way, Robina, Queensland, 4226
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Country
97122
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Australia
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Phone
97122
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+61 0413835739
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Fax
97122
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Email
97122
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bvanderm@bond.edu.au
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Contact person for public queries
Name
97123
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Barbara van der Meij
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Address
97123
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Bond Institute of Health and Sport 2 Promethean Way, Robina, Queensland, 4226
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Country
97123
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Australia
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Phone
97123
0
+61 0413835739
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Fax
97123
0
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Email
97123
0
bvanderm@bond.edu.au
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Contact person for scientific queries
Name
97124
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Barbara van der Meij
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Address
97124
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Bond Institute of Health and Sport 2 Promethean Way, Robina, Queensland, 4226
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Country
97124
0
Australia
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Phone
97124
0
+61 0413835739
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Fax
97124
0
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Email
97124
0
bvanderm@bond.edu.au
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Data sharing statement
Will the study consider sharing individual participant data?
Yes
Will there be any conditions when requesting access to individual participant data?
Persons/groups eligible to request access:
•
Case-by-case
Conditions for requesting access:
•
-
What individual participant data might be shared?
•
Descriptive variable data (gender, age, etc.), and main outcomes such as frailty, malnutrition, and sarcopenia scores, all deidentified.
What types of analyses could be done with individual participant data?
•
Meta-analyses, and studies with similar or the same aim to ours.
When can requests for individual participant data be made (start and end dates)?
From:
Start 1 month from the publication date and end 5 years from publication date.
To:
-
Where can requests to access individual participant data be made, or data be obtained directly?
•
By emailing the Principal Investigator Dr Barbara van der Meij at bvanderm@bond.edu.au or Dr Skye Marshall at smarshal@bond.edu.au
Are there extra considerations when requesting access to individual participant data?
No
What supporting documents are/will be available?
No Supporting Document Provided
Type
Citation
Link
Email
Other Details
Attachment
Study protocol
bvanderm@bond.edu.au
Statistical analysis plan
bvanderm@bond.edu.au
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
Download to PDF