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A systematic review and meta-analysis on the efficacy of Internet-delivered behavioral activation

Overview of attention for article published in Journal of Affective Disorders, March 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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26 X users
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1 Facebook page
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1 Wikipedia page

Citations

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61 Dimensions

Readers on

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209 Mendeley
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Title
A systematic review and meta-analysis on the efficacy of Internet-delivered behavioral activation
Published in
Journal of Affective Disorders, March 2018
DOI 10.1016/j.jad.2018.02.073
Pubmed ID
Authors

Anna Huguet, Alyssa Miller, Steve Kisely, Sanjay Rao, Nelda Saadat, Patrick J. McGrath

Abstract

Behavioral activation (BA) is an evidence-based treatment for depression which has attracted interest and started to accumulate evidence for other conditions when delivered face-to-face. Due to its parsimoniousness, it is suitable to be delivered via the Internet. The goal of this systematic review and meta-analysis was to examine evidence from randomized controlled trials (RCTs) to determine the efficacy of Internet-based BA and assess the quality of this evidence. Studies were identified from electronic databases (EMBASE, ISI Web of Knowledge, Medline, CINHAL, PsychINFO, Cochrane) and reference lists of included studies. Two reviewers independently screened articles for inclusion and extracted data. They assessed the quality of evidence for each outcome using The Grading of Recommendations Assessment, Development and Evaluation framework. Nine RCTs on different forms of depression were included with 2157 adult participants. Random effects meta-analyses showed that in non-clinical settings, guided Internet-based BA was non-inferior to other forms of behavioral therapy and mindfulness (mainly very low to low quality evidence) and superior to physical activity (very low quality evidence), psychoeducation/treatment as usual (moderate quality evidence) and waitlist (low quality evidence) at reducing depression and anxiety outcomes at post-treatment and short follow-up. The poor quality of some of the findings means that results should be cautiously interpreted. Evidence for the efficacy of Internet-based BA as a treatment for depression is promising. However, high quality studies with longer follow-ups are needed to increase confidence in findings and determine its efficacy in clinical settings and other conditions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 209 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 15%
Student > Ph. D. Student 27 13%
Student > Bachelor 27 13%
Researcher 25 12%
Student > Doctoral Student 14 7%
Other 29 14%
Unknown 55 26%
Readers by discipline Count As %
Psychology 77 37%
Medicine and Dentistry 22 11%
Nursing and Health Professions 10 5%
Social Sciences 7 3%
Neuroscience 5 2%
Other 17 8%
Unknown 71 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 23 January 2019.
All research outputs
#2,219,769
of 25,782,917 outputs
Outputs from Journal of Affective Disorders
#1,410
of 10,280 outputs
Outputs of similar age
#46,240
of 349,671 outputs
Outputs of similar age from Journal of Affective Disorders
#32
of 228 outputs
Altmetric has tracked 25,782,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,280 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done well, scoring higher than 86% 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 349,671 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.