Evidence map›Paper›PMID 34857035›Full record

ArticleBorderline personality disorder and emotion dysregulation2021

A systematic review of dialectical behavior therapy mobile apps for content and usability.

Chelsey R Wilks, Kyrill Gurtovenko, Kevin Rebmann, James Williamson, Josh Lovell, Akash R Wasil

Abstract read
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Article in Borderline personality disorder and emotion dysregulation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chelsey R WilksDepartment of Psychological Sciences, University of Missouri-St. Louis, 1 University Way, St. Louis, MO, USA. chelseywilks@umsl.edu.ORCID http://orcid.org/0000-0002-9006-9305
Kyrill GurtovenkoDepartment of Psychiatry and Behavioral Sciences, University of Washington, Washington, USA.
Kevin RebmannDepartment of Psychological Sciences, University of Missouri-St. Louis, 1 University Way, St. Louis, MO, USA.
James WilliamsonSeattle Children's Hospital, Department of Psychiatry and Behavioral Medicine, Washington, USA.
Josh LovellDepartment of Psychology, Hofstra University, Hofstra, USA.
Akash R WasilDepartment of Psychology, University of Pennsylvania, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe gap between treatment need and treatment availability is particularly wide for individuals seeking Dialectical Behavior Therapy (DBT), and mobile apps based on DBT may be useful in increasing access to care and augmenting in-person DBT. This review examines DBT based apps, with a specific focus on content quality and usability.

methodsAll apps referring to DBT were identified in Google Play and iOS app stores and were systematically reviewed for app content and quality. The Mobile App Rating Scale (MARS) was used to evaluate app usability and engagement.

resultsA total of 21 free to download apps were identified. The majority of apps (71%) included a component of skills training, five apps included a diary card feature. Most (76.19%) apps were designed to function without help from a therapist. The average user "star" rating was 4.39 out of 5. The mean overall MARS score was 3.41, with a range of 2.15 to 4.59, and 71.43% were considered minimally 'acceptable,' as defined by a score of 3 or higher. The average star rating was correlated with the total MARS score (r = .51, p = .02). Estimates of app usage differed substantially between popular and unpopular apps, with the three most popular apps accounting for 89.3% of monthly active users.

conclusionsWhile the present study identified many usable and engaging apps in app stores designed based on DBT, there are limited apps for clinicians. DBT based mobile apps should be carefully developed and clinically evaluated.

Indexed as

Dialectical behavior therapyEngagementmHealthUsability

Identifiers

PMID34857035
PMCPMC8639404

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.