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SlowMo, a digital therapy targeting reasoning in paranoia, versus treatment as usual in the treatment of people who fear harm from others: study protocol for a randomised controlled trial

Overview of attention for article published in Trials, November 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
38 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
216 Mendeley
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Title
SlowMo, a digital therapy targeting reasoning in paranoia, versus treatment as usual in the treatment of people who fear harm from others: study protocol for a randomised controlled trial
Published in
Trials, November 2017
DOI 10.1186/s13063-017-2242-7
Pubmed ID
Authors

Philippa A. Garety, Thomas Ward, Daniel Freeman, David Fowler, Richard Emsley, Graham Dunn, Elizabeth Kuipers, Paul Bebbington, Helen Waller, Kathryn Greenwood, Mar Rus-Calafell, Alison McGourty, Amy Hardy

Abstract

Paranoia is one of the most common symptoms of schizophrenia-spectrum disorders, and is associated with significant distress and disruption to the person's life. Developing more effective and accessible psychological interventions for paranoia is a clinical priority. Our research team has approached this challenge in two main ways: firstly, by adopting an interventionist causal approach to increase effectiveness and secondly, by incorporating user-centred inclusive design methods to enhance accessibility and usability. Our resultant new digital intervention, SlowMo, intensively targets a reasoning style associated with paranoia, fast thinking, characterised by jumping to conclusions and belief inflexibility. It consists of an easy-to-use, enjoyable and memorable digital interface. An interactive web-based app facilitates delivery of face-to-face meetings which is then synchronised with an innovative mobile app for use in daily life. We aim to test the clinical efficacy of SlowMo over 24 weeks to determine the mechanisms through which it reduces paranoia, and to identify participant characteristics that moderate its effectiveness. In a parallel-group randomised controlled trial, with 1:1 allocation, 360 participants with distressing persecutory beliefs will be independently randomised to receive either the SlowMo intervention added to treatment as usual (TAU) or TAU, using randomly varying permuted blocks, stratified by paranoia severity and site. Research workers will be blind to therapy allocation. The primary outcome is paranoia severity over 24 weeks; our hypothesised mechanism of change is reasoning; moderators include negative symptoms and working memory; and secondary outcomes include wellbeing, quality of life, and service use. The accessibility, usability and acceptability of the digital platform will be assessed. SlowMo has been developed as the first blended digital therapy to target fears of harm from others through an inclusive design approach. In addition to testing its efficacy, this trial will add to our understanding of psychological mechanisms in paranoia. The study will examine the usability and adherence of a novel digital therapy, including an app for self-management, in a large sample of people affected by severe mental health difficulties. ISRCTN registry, ID: ISRCTN32448671 . Registered prospectively on 30 January 2017. Date assigned 2 February 2017.

Twitter Demographics

The data shown below were collected from the profiles of 38 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 216 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 16%
Student > Bachelor 29 13%
Researcher 27 13%
Student > Master 24 11%
Student > Doctoral Student 15 7%
Other 38 18%
Unknown 49 23%
Readers by discipline Count As %
Psychology 55 25%
Medicine and Dentistry 31 14%
Nursing and Health Professions 18 8%
Computer Science 9 4%
Social Sciences 9 4%
Other 29 13%
Unknown 65 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 22 July 2021.
All research outputs
#709,880
of 19,180,943 outputs
Outputs from Trials
#133
of 4,964 outputs
Outputs of similar age
#21,076
of 334,564 outputs
Outputs of similar age from Trials
#17
of 475 outputs
Altmetric has tracked 19,180,943 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,964 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 97% of its peers.
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 334,564 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 475 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.