Digital Mental Health Interventions for Depression. Issue 1 (February 2022)
- Record Type:
- Journal Article
- Title:
- Digital Mental Health Interventions for Depression. Issue 1 (February 2022)
- Main Title:
- Digital Mental Health Interventions for Depression
- Authors:
- Himle, Joseph A.
Weaver, Addie
Zhang, Anao
Xiang, Xiaoling - Abstract:
- Highlights: Digital mental health interventions are a promising way to disseminate evidence-supported therapy for depression. Research supports the efficacy of digital cognitive-behavioral interventions for depression. There is a need to make digital mental health interventions for depression more appealing. Entertaining forms of digitally-based CBT hold promise as a method to increase treatment engagement. Abstract: This paper provides an overview of the of digital mental health (DMHI) interventions for depression. The paper begins with a description of the clinical context and services needs for persons experiencing depressed mood. It is well-known that there is a large gap between the availability of evidence-supported psychotherapy for depression and the large number of people who would likely benefit from it. DHMIs based on a cognitive-behavioral (CBT) model have shown substantial promise as a method to deliver tested-effective treatment to large numbers of people experiencing depression. The article continues with a review of clinical research evaluating DMHIs for depression with a special emphasis on CBT. The article also reviews both the strengths and challenges associated with the clinical use of DHMI for depression. Next, the article continues with a description of a newly-developed DHMI for depression that uses an entertaining approach to deliver well-established CBT strategies. Finally, the paper concludes with a discussion of the need for further research andHighlights: Digital mental health interventions are a promising way to disseminate evidence-supported therapy for depression. Research supports the efficacy of digital cognitive-behavioral interventions for depression. There is a need to make digital mental health interventions for depression more appealing. Entertaining forms of digitally-based CBT hold promise as a method to increase treatment engagement. Abstract: This paper provides an overview of the of digital mental health (DMHI) interventions for depression. The paper begins with a description of the clinical context and services needs for persons experiencing depressed mood. It is well-known that there is a large gap between the availability of evidence-supported psychotherapy for depression and the large number of people who would likely benefit from it. DHMIs based on a cognitive-behavioral (CBT) model have shown substantial promise as a method to deliver tested-effective treatment to large numbers of people experiencing depression. The article continues with a review of clinical research evaluating DMHIs for depression with a special emphasis on CBT. The article also reviews both the strengths and challenges associated with the clinical use of DHMI for depression. Next, the article continues with a description of a newly-developed DHMI for depression that uses an entertaining approach to deliver well-established CBT strategies. Finally, the paper concludes with a discussion of the need for further research and development of DHMIs for persons experiencing depression. … (more)
- Is Part Of:
- Cognitive and behavioral practice. Volume 29:Issue 1(2022)
- Journal:
- Cognitive and behavioral practice
- Issue:
- Volume 29:Issue 1(2022)
- Issue Display:
- Volume 29, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 29
- Issue:
- 1
- Issue Sort Value:
- 2022-0029-0001-0000
- Page Start:
- 50
- Page End:
- 59
- Publication Date:
- 2022-02
- Subjects:
- digital -- computer -- cognitive-behavioral therapy -- CBT -- depression -- digital mental health interventions
Behavior therapy -- Periodicals
Cognitive therapy -- Periodicals
Behavior Therapy -- Periodicals
Cognitive Therapy -- Periodicals
616.8914205 - Journal URLs:
- http://www.sciencedirect.com/science/journal/10777229 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cbpra.2020.12.009 ↗
- Languages:
- English
- ISSNs:
- 1077-7229
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3292.872900
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21130.xml