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Trial registered on ANZCTR
Registration number
ACTRN12610000257066
Ethics application status
Approved
Date submitted
12/03/2010
Date registered
26/03/2010
Date last updated
12/09/2013
Type of registration
Prospectively registered
Titles & IDs
Public title
Internet-based cognitive therapy in the treatment of patients with depression in general practice
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Scientific title
Among adults with mild- to moderate depression, does a 6-weeks Internet-based cognitive behavioral therapy program with minimal therapist contact, compared with waiting list condition reduce symptoms of depression.
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Secondary ID [1]
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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:
depression
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Condition category
Condition code
Mental Health
257110
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0
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Depression
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
Internet-based cognitive behavior therapy
Brief therapy, 20 minutes once a week for a total of 6 weeks. 5 modules with homework between sessions. Overview of modules: Module 1 - FEELINGS: Why do you feel the way you do; Module 2 - THOUGHTS: Changing the way we think to feel better including help with self-esteem; Module 3 - UNWARPING: Changing Warped Thoughts by Other Methods, Learning to Identify Personal Vulnerabilities, More Help with Self-Esteem; Module 4 - DE-STRESSING: Knowing What Makes You Upset, Learning to Relax; Module 5 - RELATIONSHIPS: investigate relationship problems and how to cope with them.
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Intervention code [1]
256144
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Treatment: Other
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Intervention code [2]
256169
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Behaviour
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Comparator / control treatment
waiting list control group, Treatment as usual (TAU).
The wait list control commences the therapy immediately after the intervention group finishes, i.e after 6 weeks.
The treatment as usual means that participants are on a waiting list for treatment and could received usual care by their general practitioners.
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Control group
Active
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Outcomes
Primary outcome [1]
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mean Becks depression score
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Assessment method [1]
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Timepoint [1]
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at baseline, at 6 weeks, and 6 months after intervention commencement
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Secondary outcome [1]
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relapse rate. This will be assessed by using Beck Depression Inventory (BDI).
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Assessment method [1]
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Timepoint [1]
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6 months after intervention commencemen
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Eligibility
Key inclusion criteria
Age, mild to moderate symptoms of depression (BDI), access to Internet
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Minimum age
18
Years
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Maximum age
65
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
suicidal ideation, alcoholism, drug abuse, psychosis, current Cognitive Behaviour Therapy (CBT) treatment, individuals who during the last month have begun using or changed dosage of antidepressants
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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)
central randomisation by computer
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
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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
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Phase
Not Applicable
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Type of endpoint/s
Efficacy
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Statistical methods / analysis
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
1/05/2010
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Actual
21/10/2010
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Date of last participant enrolment
Anticipated
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Actual
9/08/2012
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Date of last data collection
Anticipated
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Actual
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Sample size
Target
120
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Accrual to date
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Final
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Recruitment outside Australia
Country [1]
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Norway
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State/province [1]
2539
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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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Norwegian Research Council
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Address [1]
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P.O Box 2700 St. Hanshaugen N-0131 Oslo, Norway
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Country [1]
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Norway
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Primary sponsor type
University
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Name
University of Tromso
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Address
Faculty of Health sciences, N-9037 Tromso, Norway
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Country
Norway
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Secondary sponsor category [1]
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None
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Name [1]
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Address [1]
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Country [1]
255934
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
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Regional Committees for Medical and Health Research Ethics (REK)
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Ethics committee address [1]
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University of Tromso, Faculty of Health Sciences, N-9037 TROMS0.
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Ethics committee country [1]
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Norway
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Date submitted for ethics approval [1]
258671
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Approval date [1]
258671
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Ethics approval number [1]
258671
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Summary
Brief summary
This project is designed to determine if Internet-based cognitive therapy with minimal therapist contact can improve the efficiency of psychologists and general practitioners in the treatment of mild to moderate depression. In addition, the project will allow us to investigate the effect of an Internet-based cognitive behavior therapy intervention in a clinical sample. The primary hypothesis is that the Internet-based program will lead to a larger reduction in depressive symptoms than a wait list control condition.
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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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A/Prof Nils Kolstrup
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Address
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Faculty of Health Sciences, University of Tromso, 9037 Tromso, Norway
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Country
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Norway
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Phone
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+47 776 44000
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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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Nils Kolstrup
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Address
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University of Tromso, Faculty of Health Sciences, N-9037 TROMSO.
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Country
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Norway
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Phone
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+47 77644000
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Fax
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Email
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[email protected]
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Contact person for scientific queries
Name
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Nils Kolstrup
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Address
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University of Tromso, Faculty of Health Sciences, N-9037 TROMSO.
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Country
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Norway
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Phone
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+47 77644000
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Fax
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Email
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[email protected]
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No information has been provided regarding IPD availability
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
Predictors of Response to Web-Based Cognitive Behavioral Therapy With High-Intensity Face-to-Face Therapist Guidance for Depression: A Bayesian Analysis.
2015
https://dx.doi.org/10.2196/jmir.4351
N.B. These documents automatically identified may not have been verified by the study sponsor.
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