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Implementing multifactorial psychotherapy research in online virtual environments (IMPROVE-2): study protocol for a phase III trial of the MOST randomized component selection method for internet…

Overview of attention for article published in BMC Psychiatry, October 2016
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Title
Implementing multifactorial psychotherapy research in online virtual environments (IMPROVE-2): study protocol for a phase III trial of the MOST randomized component selection method for internet cognitive-behavioural therapy for depression
Published in
BMC Psychiatry, October 2016
DOI 10.1186/s12888-016-1054-8
Pubmed ID
Authors

Edward Watkins, Alexandra Newbold, Michelle Tester-Jones, Mahmood Javaid, Jennifer Cadman, Linda M. Collins, John Graham, Mohammod Mostazir

Abstract

Depression is a global health challenge. Although there are effective psychological and pharmaceutical interventions, our best treatments achieve remission rates less than 1/3 and limited sustained recovery. Underpinning this efficacy gap is limited understanding of how complex psychological interventions for depression work. Recent reviews have argued that the active ingredients of therapy need to be identified so that therapy can be made briefer, more potent, and to improve scalability. This in turn requires the use of rigorous study designs that test the presence or absence of individual therapeutic elements, rather than standard comparative randomised controlled trials. One such approach is the Multiphase Optimization Strategy, which uses efficient experimentation such as factorial designs to identify active factors in complex interventions. This approach has been successfully applied to behavioural health but not yet to mental health interventions. A Phase III randomised, single-blind balanced fractional factorial trial, based in England and conducted on the internet, randomized at the level of the patient, will investigate the active ingredients of internet cognitive-behavioural therapy (CBT) for depression. Adults with depression (operationalized as PHQ-9 score ≥ 10), recruited directly from the internet and from an UK National Health Service Improving Access to Psychological Therapies service, will be randomized across seven experimental factors, each reflecting the presence versus absence of specific treatment components (activity scheduling, functional analysis, thought challenging, relaxation, concreteness training, absorption, self-compassion training) using a 32-condition balanced fractional factorial design (2IV(7-2)). The primary outcome is symptoms of depression (PHQ-9) at 12 weeks. Secondary outcomes include symptoms of anxiety and process measures related to hypothesized mechanisms. Better understanding of the active ingredients of efficacious therapies, such as CBT, is necessary in order to improve and further disseminate these interventions. This study is the first application of a component selection experiment to psychological interventions in depression and will enable us to determine the main effect of each treatment component and its relative efficacy, and cast light on underlying mechanisms, so that we can systematically enhance internet CBT. Current Controlled Trials ISRCTN24117387 . Registered 26 August 2014.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
Colombia 1 <1%
Unknown 292 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 55 19%
Researcher 40 14%
Student > Ph. D. Student 35 12%
Student > Doctoral Student 25 8%
Student > Bachelor 25 8%
Other 40 14%
Unknown 75 25%
Readers by discipline Count As %
Psychology 101 34%
Medicine and Dentistry 32 11%
Nursing and Health Professions 22 7%
Social Sciences 11 4%
Business, Management and Accounting 6 2%
Other 24 8%
Unknown 99 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 October 2023.
All research outputs
#13,885,166
of 24,561,012 outputs
Outputs from BMC Psychiatry
#2,938
of 5,173 outputs
Outputs of similar age
#163,233
of 325,607 outputs
Outputs of similar age from BMC Psychiatry
#52
of 92 outputs
Altmetric has tracked 24,561,012 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,173 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 325,607 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.