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Trial registered on ANZCTR
Registration number
ACTRN12615000132549
Ethics application status
Approved
Date submitted
16/01/2015
Date registered
12/02/2015
Date last updated
13/05/2019
Date data sharing statement initially provided
13/05/2019
Type of registration
Prospectively registered
Titles & IDs
Public title
Researching Intervention in Chronic Cough in Kids Study
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Scientific title
A randomised controlled trial to evaluate the efficacy of an evidence based cough algorithm compared to standard care in reducing cough duration in children aged < 15 years who develop chronic cough (> 4 weeks) following acute respiratory infection.
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Secondary ID [1]
285991
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Nil Known
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Universal Trial Number (UTN)
U1111-1166-0388
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Trial acronym
RICCi Kids Study
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Cough
293942
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Acute respiratory infection
293943
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Condition category
Condition code
Respiratory
294241
294241
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0
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Other respiratory disorders / diseases
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Infection
294378
294378
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0
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Other infectious diseases
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
The intervention is an evidence-based cough management algorithm that has been evaluated in children referred to a paediatric respiratory physician with prolonged cough (Chang et al, Pediatrics 2012). Children with cough are reviewed by a paediatrician and enter specific pathways depending on cough type and whether it is a specific or non-specific cough. Relevant investigations are performed (eg haemotology, biochemistry, pertussis serology, chest xray, spirometry) and management is dependent on initial diagnoses. Management may include watchful waiting, trials of inhaled corticosteroids or antibiotics, and brief interventions such as smoking education. Children are reviewed again 2 weeks following the initial review. Ongoing management is dependent on the diagnosis.
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Intervention code [1]
290967
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Treatment: Other
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Comparator / control treatment
The control arm will undergo standard care. This predominantly involves advising the parent/guardian to seek the advice of their general practitioner if they are concerned about the cough. At the community level, children will consult a GP up to 5 times before obtaining a referral to a paediatrician. This may take up to 4 months before specialist review occurs.
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Control group
Active
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Outcomes
Primary outcome [1]
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Resolution of cough in days assessed via validated parent completed daily cough diary cards and weekly telephone/email/home visiting contact with families
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Assessment method [1]
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Timepoint [1]
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Assessed daily from date of enrolment and date of randomisation for 8 weeks in total (4 weeks post randomisation).
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Secondary outcome [1]
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Direct (eg cost of medication) and indirect costs of illness (eg parental time off work) assessed by daily burden of illness diaries and weekly telephone/email/home visiting contact with families. Cost of illness is a composite outcome.
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Assessment method [1]
312402
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Timepoint [1]
312402
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Day 56 post enrolment
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Secondary outcome [2]
312403
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Nasal carriage of respiratory viruses and bacteria. Anterior nasal swabs will be collected using the Virocult specimen collection system. Swabs will be tested at the Queensland Paediatric Infectious Diseases Laboratory for 5 bacteria and 18 viruses by quantitative polymerase chain reaction methods.
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Assessment method [2]
312403
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Timepoint [2]
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Day 0, 14, 28, 42 and 56
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Eligibility
Key inclusion criteria
1. Is aged 0 - < 15 years
2. Presents to participating primary health care centre with cough as a symptom
3. Parent/guardian provides written informed consent
4.. If the child is a young person aged 12 - < 15 years, written assent from that person must be obtained
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Minimum age
0
Years
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Maximum age
14
Years
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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
1. Known, doctor diagnosed, chronic lung disease (excluding asthma)
2. Known immunosuppressive condition or on long term immunosuppressant therapy (oral or inhaled steroids in the past 30 days are allowed.
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Study design
Purpose of the study
Treatment
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Allocation to intervention
Randomised controlled trial
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Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
Children presenting to the participating primary health care services with an illness with parent reported cough as a symptom will be identified by a dedicated study research officer through discussion with the clinic staff. The research officer will then approach the child’s parents/guardians to determine willingness to participate in the study. Written informed consent will be obtained following provision and explanation of a plain language statement that explains the study in detail. Pictorial information statements may be used for those with limited literacy skills if required. Written assent will be obtained from children aged equal to or greater than 12 years.
At day-29 (+3), after confirmation of the presence of chronic cough, eligible children will be allocated (1:1) to either active intervention or standard care. Randomisation will be stratified by site (n=3) and cough duration at day 28 (less than 6 weeks and equal to or greater than 6 weeks) with permuted block sizes. Stratifying by cough duration will control for children who had a cough history of greater than 14 days at time of cohort enrolment.
Randomisation codes will be computer generated by an independent biostatistician and concealed in opaque envelopes. At the time of randomisation, staff will contact the study coordinator with the child’s stratum details and the next consecutive envelope in that stratum will be selected and opened to allocate the child to a study arm according to the allocation code.
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
The randomised sequence generation will be conducted by an independent biostatistician using Stata (StataCorp, Texas).
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Masking / blinding
Open (masking not used)
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Who is / are masked / blinded?
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Intervention assignment
Parallel
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Other design features
The RCT is nested within 3 prospective cohort studies of acute respiratory illness with cough as a symptom in urban and rural children
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Phase
Not Applicable
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Type of endpoint/s
Efficacy
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Statistical methods / analysis
Demographic, clinical, economic, risk factor and microbiological data will be tabulated for the study population overall, by centre and by randomisation group and expressed as proportions and/or means of the selected characteristics by study centre, and presence/absence of chronic cough at day 56 with the corresponding 95% confidence intervals (CI). Differences between groups will be assessed using t-tests for comparisons of means and chi-square test for comparisons of proportions, conditional on test assumptions for each being satisfied. Non-normally distributed data will be analysed with appropriate non-parametric tests.
Primary objective
Intention to treat analyses will be employed. The proportion of children with cough resolution at Day 56 (4 weeks post randomisation) will be compared between the intervention and control group and absolute risk differences will be calculated. Multinomial logistic regression will be undertaken to account for stratification variables and any baseline variables considered to be unequally distributed between groups. Robust standard errors will be employed to account for clustering by siblings and bootstrapping methods used to examine potential biases in estimates.
Secondary analysis of primary outcome
A per-protocol analysis will be performed as a secondary analysis. Per protocol analyses will exclude children who met elimination criteria, those with unknown cough status at day 56 and those randomised to the intervention group who did not receive the intervention. Logistic regression will be employed as described in the primary analysis above.
Economic objectives
Costing of the intervention will be done according to established methods including detailed subanalyses of data that account for epidemiological, social, cultural, risk factor and microbiological variables. Cost effectiveness analysis (CEA) will be modelled with a focus on the health sector but incorporating broader societal issues using data from the trial as described above and augmented by the evidence from the literature, especially systematic reviews. CEA will involve: identification of resources using the intervention pathway (activities, probabilities and unit costs); measurement of resource use/outcomes; and valuation of costs using unit costs published in the literature. The time horizon will be specified and current practice (standard care) will be the comparator; and future costs and benefits will be discounted to present values. Central to this analysis will be the modelling of uncertainty surrounding data quality and gaps, and extension of time horizon using sensitivity analyses. The key outcomes will be incremental cost-effectiveness, and cost-savings to the health system due to the interventions.
Other objectives:
Multivariable modelling will be employed to: a) evaluate the microbiological predictors of chronic cough following an ARI as determined at days 14, 28, 42 and 56 post enrolment; b) evaluate the epidemiological, clinical, socio-economic and cultural predictors of chronic cough following an ARI at day 28 post ARI; c) evaluate the epidemiological, clinical, socio-economic and cultural predictors of success or failure of the intervention at day 56; and, d) to compare these predictors between the three study populations. Crude and adjusted relative risks and their 95% CIs will be presented, with differences considered statistically significant at p <0.05.
The 3 cohort studies within which the RCT is nested are anticipated to enrol approximately 700 children based on our current and previous work. On the basis of that work, we expect approximately 30% of children to have persistent cough at day 28. For the primary endpoint of cough resolution at day 56, we anticipate a 54% reduction in the proportion of children (54.3% in early arm compared to 29.5% in delayed-arm) with persistent cough at day 56. Hence, 89 children per group with complete evaluable data at day 56 will provide 90% power (a=0.05), to detect this 54% reduction for our primary aim. Assuming a 20% loss to follow-up, we will therefore randomise a minimum of 107 children per group at day 28 across all 3 sites (214 in total randomised within the cohort of approximately 700 children)
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
6/04/2015
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Actual
7/07/2015
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Date of last participant enrolment
Anticipated
31/10/2018
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Actual
31/10/2018
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Date of last data collection
Anticipated
28/12/2018
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Actual
28/12/2018
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Sample size
Target
700
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Accrual to date
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Final
509
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Recruitment in Australia
Recruitment state(s)
QLD
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Recruitment hospital [1]
9306
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Toowoomba Hospital - Toowoomba
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Recruitment hospital [2]
9307
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Lady Cilento Children's Hospital - South Brisbane
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Recruitment hospital [3]
9308
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Caboolture Hospital - Caboolture
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Recruitment postcode(s) [1]
9125
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4510 - Caboolture
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Recruitment postcode(s) [2]
9126
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4352 - Toowoomba
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Recruitment postcode(s) [3]
10608
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4370 - Warwick
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Recruitment postcode(s) [4]
17974
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4101 - South Brisbane
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Funding & Sponsors
Funding source category [1]
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Government body
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Name [1]
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National Health and Medical Research Council
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Address [1]
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GPO Box 1421
Canberra ACT 2601
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Country [1]
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Australia
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Primary sponsor type
University
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Name
Queensland University of Technology
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Address
Cnr Musk and Victoria Park Rd
Kelvin Grove QLD 4059
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Country
Australia
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Secondary sponsor category [1]
289270
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None
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Name [1]
289270
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Address [1]
289270
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Country [1]
289270
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
292221
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Queensland University of Technology University Research Ethics Committee
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Ethics committee address [1]
292221
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88 Musk Ave Kelvin Grove Queensland 4059
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Ethics committee country [1]
292221
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Australia
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Date submitted for ethics approval [1]
292221
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19/01/2015
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Approval date [1]
292221
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05/03/2015
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Ethics approval number [1]
292221
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Summary
Brief summary
ARI in children is a leading cause of hospitalisation and preventable death and repeat episodes in infancy are associated with an increased risk of chronic lung disease. Cough in children, commonly triggered by a viral ARI is a substantial cause of morbidity and associated health and societal economic costs. Chronic wet cough in children implies increased airway secretions and lower airway infection. This novel proposal aims to determine whether a validated evidence-based cough algorithm initiated at the development of chronic cough, defined as >4 weeks duration, following an ARI improves clinical outcomes in Indigenous children compared to standard care.
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Trial website
None to date
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Trial related presentations / publications
None to date
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Public notes
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Contacts
Principal investigator
Name
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Dr Kerry-Ann O'Grady
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Address
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Centre for Children's Health Research
L7, 62 Graham Street
South Brisbane, QLD 4010
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Country
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Australia
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Phone
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+61 439 933 777
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Fax
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Email
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[email protected]
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Contact person for public queries
Name
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Kerry-Ann O'Grady
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Address
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Centre for Children's Health Research
L7, 62 Graham Street
South Brisbane, QLD 4010
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Country
54163
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Australia
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Phone
54163
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+61 439 933 777
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Fax
54163
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Email
54163
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[email protected]
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Contact person for scientific queries
Name
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Kerry-Ann O'Grady
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Address
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Centre for Children's Health Research
L7, 62 Graham Street
South Brisbane, QLD 4010
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Country
54164
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Australia
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Phone
54164
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+ 61 439 933 777
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Fax
54164
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Email
54164
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[email protected]
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Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
Yes
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What data in particular will be shared?
All data other than personal identifying information will be available on request
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When will data be available (start and end dates)?
From when the primary papers addressing primary and secondary objectives have been published in a peer-review journal
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Available to whom?
Researchers with specific interest and expertise in ARI and cough in children
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Available for what types of analyses?
Descriptive and analytical
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How or where can data be obtained?
Persons seeking access to the data will be required to put a request in writing to the Chief Investigator detailing the proposed use of the data. Data will be made available electronically on confirmation of the appropriate ethics clearances.
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What supporting documents are/will be available?
No Supporting Document Provided
Doc. No.
Type
Citation
Link
Email
Other Details
Attachment
2059
Study protocol
367776-(Uploaded-13-05-2019-09-45-55)-Study-related document.pdf
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
Source
Title
Year of Publication
DOI
Embase
Effectiveness of a cough management algorithm at the transitional phase from acute to chronic cough in Australian children aged <15 years: Protocol for a randomised controlled trial.
2017
https://dx.doi.org/10.1136/bmjopen-2016-013796
Embase
Effectiveness of a chronic cough management algorithm at the transitional stage from acute to chronic cough in children: a multicenter, nested, single-blind, randomised controlled trial.
2019
https://dx.doi.org/10.1016/S2352-4642%2819%2930327-X
N.B. These documents automatically identified may not have been verified by the study sponsor.
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