The DOI matches its Crossref record; 1 of the 2 references it cites were found in a registry or an index.
DBT Self-Help Application for Mobile Devices
Abstract
DBT Self-Help is a mobile application serving as a companion to structured skills training in Dialectical Behavior Therapy (DBT). It is available for both Android and iOS and works on various mobile devices. This application affords users a private, easily portable way to access information and practice key DBT skill sets such as Core Mindfulness, Distress Tolerance, Emotional Regulation and Interpersonal Effectiveness. Although this app is affordable and contains a great deal of information, it can be difficult to navigate, especially for someone new to DBT concepts. The content is strong, but restructuring the presentation style would enhance clarity. This application is recommended for those already involved in a DBT-based program, and may be appropriate for those who wish to learn additional coping skills as an adjunct to other forms of treatment. Unfortunately, this app is not user-friendly enough to be easily followed by the average consumer wanting to learn new ways of managing uncomfortable emotions.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“major barriers include app navigation challenges and difficulties understanding interventions without prior DBT exposure or clinical support [41,42]”
From Technology enabled clinical care (TECC): Protocol for a prospective longitudinal cohort study of smartphone-augmented mental health treatment (2021) · cites this paper as [41]
In the citing paper
“App-related DBT studies have shown potential in allowing users to learn and practice a wide range of skills”
From Technology enabled clinical care (TECC): Protocol for a prospective longitudinal cohort study of smartphone-augmented mental health treatment (2021) · cites this paper as [41]
Citations
Cites
(1993) · Medical Entomology and Zoology · Cited by 2,491
Cited by
Sorted by citations
van Leeuwen, H., Sinnaeve, R., Witteveen, U., Daele, T. V., Ossewaarde, L., Egger, J. I. M., & van den Bosch, L. M. C. (2021) · Borderline Personality Disorder and Emotion Dysregulation · doi:10.1186/s40479-021-00165-7 · Cited by 37
Technology for Social Work Interventions
Chan, C., & Holosko, M. J. (2018) · Oxford University Press eBooks · doi:10.1093/obo/9780195389678-0263 · Cited by 28
Mental Health in the Digital Age
Bauman, S., & Rivers, I. (2015) · Palgrave Macmillan UK eBooks · doi:10.1057/9781137333179 · Cited by 23
Rauseo-Ricupero, N., & Torous, J. (2021) · JMIR Research Protocols · doi:10.2196/23771 · Cited by 9
“App-related DBT studies have shown potential in allowing users to learn and practice a wide range of skills; however, major barriers include app navigation challenges and difficulties understanding interventions without prior DBT exposure or clinical support [41,42].”
Washburn, M., Rubin, A., & Zhou, S. (2016) · Research on Social Work Practice · doi:10.1177/1049731516659363 · Cited by 9
Self-citation
Metadata
- Authors
- Washburn, M., & Parrish, D. E.
- Affiliations
- University of Houston (US)
- Corresponding author
- Washburn, Micki
- Venue
- Journal of Technology in Human Services
- Publisher
- Informa UK Limited
- Published
- 2013-04
- Volume
- 31
- Issue
- 2
- Pages
- 175-183
- ISSN
- 0740-445X (ISSN-L)
- 1522-8835
- 1522-8991
- OpenAlex
- W2100018746
- Cited by
- 10
- References
- 2
- Citations by year
- 2023: 2 · 2021: 4 · 2020: 1 · 2018: 1 · 2016: 1 · 2015: 1
- FWCI
- 1.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Technology in Human Services (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- dialectical behavior therapy, mobile health, mindfulness, distress tolerance, emotion regulation, interpersonal effectiveness, coping strategies, user interface design, Android, iOS
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
