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Trial registered on ANZCTR
Registration number
ACTRN12618001306202
Ethics application status
Approved
Date submitted
1/08/2018
Date registered
2/08/2018
Date last updated
29/06/2021
Date data sharing statement initially provided
31/05/2019
Date results provided
29/06/2021
Type of registration
Prospectively registered
Titles & IDs
Public title
Intentions for Cancer Screening in Older Adults
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Scientific title
The Effect of Different Communication Strategies about Stopping Cancer Screening on Intention to Screen and Cancer Anxiety: a Randomised Online Study in Older Adults
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Secondary ID [1]
294948
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None
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Universal Trial Number (UTN)
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Trial acronym
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
The effect of communication strategies about cancer screening cessation
307945
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Condition category
Condition code
Mental Health
306976
306976
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0
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Studies of normal psychology, cognitive function and behaviour
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Public Health
306977
306977
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0
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Health promotion/education
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Cancer
306978
306978
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0
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Breast
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Cancer
306979
306979
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0
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Prostate
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
The intervention will be delivered online and will take approximately 20-30 minutes to complete.
Time 1 intervention: Hypothetical scenarios will be used to communicate the benefits and harms of cancer screening and to test different communication strategies on outcome measures. The text scenarios will be presented online using Qualtrics survey software.
Intervention materials: A hypothetical scenario of a doctor’s visit- Participants will be asked to imagine that their doctor is speaking to them about cancer screening, providing them with the benefits and harms and telling them of the importance of making an informed decision.
Participants will be randomised to receive one of four hypothetical scenarios, where the final statement the GP makes will be varied:
1) Benefits vs. harms: "This test may harm you more than benefit you."
2) Benefits vs. harms + negative framing life expectancy: "You may not live long enough to benefit from breast screening/PSA testing, and this test may harm you more than benefit you."
3) Benefits vs. harms + positive framing life expectancy: "Breast screening/PSA testing may not help you to live longer, and this test may harm you more than benefit you."
4) Benefits vs. harms + health status: "This test may harm you more than benefit you, so other aspects of your health should take priority."
Time 2 Intervention: Second hypothetical scenario will highlight the counterintuitive nature of stopping screening.
After completing the outcome measures after viewing the first hypothetical scenario, all participants will be presented with another scenario. They will be asked to imagine their GP continues discussing with them the idea of stopping screening. The GP will acknowledge the counterintuitive nature of stopping screening by providing an anchoring frame, where a reason for why the change in recommendation has occurred.
The second hypothetical scenario will read:
"For many years breast/prostate cancer screening has been strongly recommended, but we now know more about the harms and benefits than we did when these cancer screening programs began.
A large body of research has shown that for older people like you the harms might outweigh the benefits such as those that we discussed earlier.
So, this is why I don't think you should get the test anymore."
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Intervention code [1]
301271
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Behaviour
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Comparator / control treatment
The control group will be provided the same explanation and summary of associated benefits and risks of breast/prostate screening in the hypothetical scenario of a doctor's visit, but will not receive an additional statement after "This test may harm you more than benefit you".
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Control group
Active
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Outcomes
Primary outcome [1]
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Intention to have a PSA test/breast screening: a single item on a 10-point scale assessing hypothetical intention to get screening/testing, adapted from previous research (Copp et al., 2017) (1=Definitely will not to 10=Definitely will).
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Assessment method [1]
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Timepoint [1]
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Immediately after participants have read their first respective hypothetical scenarios of the doctors visit at Time 1, and again after the second hypothetical scenario at Time 2.
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Primary outcome [2]
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Cancer anxiety (level of anxiety about developing breast/prostate cancer) will be measured using two items with ten responses ranging from not worried at all to extremely worried, guided by Scherer et al., 2018.
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Assessment method [2]
305965
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Timepoint [2]
305965
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After participants have read their first respective hypothetical scenarios of the doctors visit at Time 1 and been asked about intention to screen, and again after the second hypothetical scenario at Time 2.
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Secondary outcome [1]
347123
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Trust in the information provided by GP in the scenarios will be measured by a single item using a 5-point scale (very little trust, to a great deal of trust), guided by Hillen et al., 2014.
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Assessment method [1]
347123
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Timepoint [1]
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After participants have read their first respective hypothetical scenarios of the doctors visit at Time 1
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Secondary outcome [2]
347124
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Trust in GP will be measured by a single item using a 5-point scale (very little trust, to a great deal of trust), guided by Hillen et al., 2014.
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Assessment method [2]
347124
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Timepoint [2]
347124
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After participants have read their first respective hypothetical scenarios of the doctors visit at Time 1
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Secondary outcome [3]
347125
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Trust in the Australian health system will be measured using a single item with a 5-point scale (very little trust, to a great deal of trust) guided by Hillen et al., 2014.
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Assessment method [3]
347125
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Timepoint [3]
347125
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After participants have read their first respective hypothetical scenarios of the doctors visit at Time 1
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Secondary outcome [4]
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Decisional conflict will be measured using a ten-item measure with a 3-point scale (yes, no, unsure), (O’Connor, 1995).
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Assessment method [4]
347126
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Timepoint [4]
347126
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After participants have read their first respective hypothetical scenarios of the doctors visit at Time 1
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Secondary outcome [5]
347127
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Knowledge/understanding of the information presented in scenario one will be measured using a single item with responses true, false and don’t know, guided by Hersch et al., 2015.
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Assessment method [5]
347127
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Timepoint [5]
347127
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After participants have read their first respective hypothetical scenarios of the doctors visit at Time 1
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Secondary outcome [6]
347128
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Knowledge/understanding of the information presented in scenario two will be measured using a single item with responses true, false and don’t know.
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Assessment method [6]
347128
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Timepoint [6]
347128
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Measured after participants are presented with the second hypothetical scenario at Time 2 and have answered questions regarding intention and cancer anxiety.
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Eligibility
Key inclusion criteria
Australian older adults aged 65 years or older who have had a PSA test or mammogram at least once in the past 10 years
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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?
Yes
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Key exclusion criteria
Previous diagnosis of prostate cancer, breast cancer or dementia
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Study design
Purpose of the study
Educational / counselling / training
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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)
Participants will be sent an email link to access the Qualtrics survey by the recruitment company Research Now. The link will direct participants to read the online consent form. After giving consent participants will be randomised to one of the four hypothetical scenarios using Qualtrics survey software. The researcher will be unaware of which condition participants are randomised to, as randomisation occurred after participants had clicked on the link to complete the online intervention.
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Simple randomisation using Qualtrics survey software, stratified by gender.
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Masking / blinding
Blinded (masking used)
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Who is / are masked / blinded?
The people receiving the treatment/s
The people administering the treatment/s
The people assessing the outcomes
The people analysing the results/data
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Intervention assignment
Factorial
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Other design features
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Phase
Not Applicable
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Type of endpoint/s
Efficacy
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Statistical methods / analysis
A sample size calculation using Cohen’s d formula indicates that a sample size of N = 252 would be ample to detect a moderate effect size (f = .25) with 80% power and alpha at 0.025. This means each group will have a minimum of 63 participants.
We will use a one-way Analysis of Variance (ANOVA) using SPSS Version 22.0 to test differences in outcomes between the three experimental conditions. Additionally, repeated measures using within-subjects ANOVA will determine whether there is a change in intention and cancer anxiety after the second scenario is presented.
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
6/08/2018
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Actual
7/08/2018
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Date of last participant enrolment
Anticipated
27/08/2018
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Actual
17/08/2018
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Date of last data collection
Anticipated
27/08/2018
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Actual
17/08/2018
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Sample size
Target
252
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Accrual to date
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Final
271
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Recruitment in Australia
Recruitment state(s)
ACT,NSW,NT,QLD,SA,TAS,WA,VIC
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Funding & Sponsors
Funding source category [1]
299532
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Government body
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Name [1]
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National Health and Medical Research Council Program
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Address [1]
299532
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Level 1, 16 Marcus Clarke Street, Canberra City ACT 2600
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Country [1]
299532
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Australia
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Primary sponsor type
University
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Name
School of Public Health, University of Sydney
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Address
Edward Ford Building (A27)
The University of Sydney
NSW 2006
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Country
Australia
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Secondary sponsor category [1]
298893
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None
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Name [1]
298893
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Address [1]
298893
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Country [1]
298893
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
300431
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The University of Sydney Human Research Ethics Committee
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Ethics committee address [1]
300431
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Human Ethics Office Margaret Telfer Building (K07) University of Sydney NSW 2006
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Ethics committee country [1]
300431
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Australia
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Date submitted for ethics approval [1]
300431
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11/05/2018
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Approval date [1]
300431
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16/05/2018
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Ethics approval number [1]
300431
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2018/357
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Summary
Brief summary
Cancer screening is one aspect of health care that is perceived as “more equals better”. However, there is uncertainty associated with the benefits and harms of screening for cancer in older adults. More specifically, evidence shows that older men and women are more likely to experience net harm from breast and prostate cancer screening than younger adults. However, it is challenging to communicate effectively and sensitively about these issues to older adults. Qualitative research suggests that life expectancy could be helpful to mention, but the way that it is framed could have importance in how the information is received. The aim of this study is to examine different strategies to communicate with older people about the option of stopping cancer screening, taking into account well-known heuristics and biases that impact on decision making in this group. In particular, we will test the effect of different strategies to communicate about benefits versus harms and life expectancy. Furthermore, we will compare positively and negatively framed statements of life expectancy.
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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
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Dr Jesse Jansen
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Address
83642
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126a Edward Ford Building (A27)
The University of Sydney
NSW 2006
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Country
83642
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Australia
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Phone
83642
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+61 02 9351 5178
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Fax
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Query!
Email
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[email protected]
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Contact person for public queries
Name
83643
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Jesse Jansen
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Address
83643
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126a Edward Ford Building (A27)
The University of Sydney
NSW 2006
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Country
83643
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Australia
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Phone
83643
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+61 02 9351 5178
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Fax
83643
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Query!
Email
83643
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[email protected]
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Contact person for scientific queries
Name
83644
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Jesse Jansen
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Address
83644
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126a Edward Ford Building (A27)
The University of Sydney
NSW 2006
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Country
83644
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Australia
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Phone
83644
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+61 02 9351 5178
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Fax
83644
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Email
83644
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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 individual participant data collected during the trial can be made available in de-identified csv or excel datasets, along with the data dictionary.
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When will data be available (start and end dates)?
Data will be made available once the manuscript outlining results from the study has been published for up to 5 years after publication.
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Available to whom?
Data will be made available upon request to anyone wishing to access it who provides a methodologically sound proposal to the principal investigator.
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Available for what types of analyses?
Replication and meta-analysis.
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How or where can data be obtained?
Data will be made available upon direct contact with the principal investigator. Contact details of the principal investigator are:
[email protected]
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What supporting documents are/will be available?
No Supporting Document Provided
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
Effect of different communication strategies about stopping cancer screening on screening intention and cancer anxiety: A randomised online trial of older adults in Australia.
2020
https://dx.doi.org/10.1136/bmjopen-2019-034061
N.B. These documents automatically identified may not have been verified by the study sponsor.
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