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Reducing depressive symptomatology with a smartphone app: study protocol for a randomized, placebo-controlled trial

Overview of attention for article published in Trials, May 2017
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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4 X users
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1 patent

Citations

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25 Dimensions

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378 Mendeley
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Title
Reducing depressive symptomatology with a smartphone app: study protocol for a randomized, placebo-controlled trial
Published in
Trials, May 2017
DOI 10.1186/s13063-017-1960-1
Pubmed ID
Authors

Cezar Giosan, Oana Cobeanu, Cristina Mogoaşe, Aurora Szentagotai, Vlad Mureşan, Rareș Boian

Abstract

Depression has become one of the leading contributors to the global disease burden. Evidence-based treatments for depression are available, but access to them is still limited in some instances. As technology has become more integrated into mental health care, computerized cognitive behavioral therapy (CBT) protocols have become available and have been recently transposed to mobile environments (e.g., smartphones) in the form of "apps." Preliminary research on some depression apps has shown promising results in reducing subthreshold or mild to moderate depressive symptoms. However, this small number of studies reports a low statistical power and they have not yet been replicated. Moreover, none of them included an active placebo comparison group. This is problematic, as a "digital placebo effect" may explain some of the positive effects documented until now. The aim of this study is to test a newly developed mobile app firmly grounded in the CBT theory of depression to determine whether this app is clinically useful in decreasing moderate depressive symptoms when compared with an active placebo. Additionally, we are interested in the app's effect on emotional wellbeing and depressogenic cognitions. Romanian-speaking adults (18 years and older) with access to a computer and the Internet and owning a smartphone are included in the study. A randomized, three-arm clinical trial is being conducted (i.e., active intervention, placebo intervention and delayed intervention). Two hundred and twenty participants with moderate depressive symptoms (i.e., obtaining scores >9 and ≤16 on the Patient Health Questionnaire, PHQ-9) will be randomized to the three conditions. Participants undergoing therapy, presenting serious mental health problems, or legal or health issues that would prevent them from using the app, as well as participants reporting suicidal ideation are excluded. Participants randomized to the active and placebo interventions will use the smartphone app for 6 weeks. A short therapist check-in via phone will take place every week. Participants in the delayed-intervention condition will be given access to the app after 6 weeks from randomization. The primary outcome is the level of depressive symptomatology. The intervention delivered through the app to the active condition includes psychoeducational materials and exercises based on CBT for depression, while the placebo intervention uses a sham version of the app (i.e., similar structure of courses and exercises). To our knowledge, this study protocol is the first to test the efficacy of a smartphone app for depressive symptomatology in the form of a randomized controlled trial (RCT) that includes an active placebo condition. As such, this can substantially add to the body of evidence supporting the use of apps designed to decrease depression. ClinicalTrials.gov, identifier: NCT03060200 . Registered on 1 February 2017. The first participant was enrolled on 17 February 2017.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 378 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 377 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 59 16%
Student > Ph. D. Student 50 13%
Researcher 39 10%
Student > Bachelor 39 10%
Student > Doctoral Student 29 8%
Other 58 15%
Unknown 104 28%
Readers by discipline Count As %
Psychology 90 24%
Medicine and Dentistry 57 15%
Nursing and Health Professions 27 7%
Computer Science 20 5%
Social Sciences 18 5%
Other 38 10%
Unknown 128 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 January 2022.
All research outputs
#6,567,135
of 25,988,468 outputs
Outputs from Trials
#624
of 1,868 outputs
Outputs of similar age
#94,205
of 328,479 outputs
Outputs of similar age from Trials
#9
of 20 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,868 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 72% 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 328,479 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.