A comparison of electronically-delivered and face to face cognitive behavioural therapies in depressive disorders: A systematic review and meta-analysis. (July 2020)
- Record Type:
- Journal Article
- Title:
- A comparison of electronically-delivered and face to face cognitive behavioural therapies in depressive disorders: A systematic review and meta-analysis. (July 2020)
- Main Title:
- A comparison of electronically-delivered and face to face cognitive behavioural therapies in depressive disorders: A systematic review and meta-analysis
- Authors:
- Luo, Candice
Sanger, Nitika
Singhal, Nikhita
Pattrick, Kaitlin
Shams, Ieta
Shahid, Hamnah
Hoang, Peter
Schmidt, Joel
Lee, Janice
Haber, Sean
Puckering, Megan
Buchanan, Nicole
Lee, Patsy
Ng, Kim
Sun, Sunny
Kheyson, Sasha
Chung, Douglas Cho-Yan
Sanger, Stephanie
Thabane, Lehana
Samaan, Zainab - Abstract:
- Abstract: Background: Cognitive behavioural therapy (CBT) is a widely used treatment for depression. However, limited resource availability poses several barriers to patients seeking access to care, including lengthy wait times and geographical limitations. This has prompted health care services to introduce electronically delivered CBT (eCBT) to facilitate access. Although previous reviews have compared the effects of eCBT to face-to-face CBT, there is an overall lack of adequately powered and up-to-date evidence in the literature to provide a reliable comparison between the two modes of administration. The purpose of this study is to evaluate the effects of eCBT compared to face-to-face CBT through a systematic review of the literature. Methods: To be eligible for this review, studies needed to be randomized controlled trials evaluating the clinical effectiveness of any form of eCBT compared to face-to-face CBT. These encompassed studies evaluating a wide range of outcomes including severity of symptoms, adverse outcomes, clinically relevant outcomes, global functionality, participant satisfaction, quality of life, and affordability. There were no restrictions on participant age or sex. We searched MEDLINE, EMBASE, Psych Info, Cochrane CENTRAL and CINAHL databases from inception to February 20th, 2020 using a comprehensive search strategy. All stages of literature screening and data extraction were completed independently in duplicate. Data extraction and risk of biasAbstract: Background: Cognitive behavioural therapy (CBT) is a widely used treatment for depression. However, limited resource availability poses several barriers to patients seeking access to care, including lengthy wait times and geographical limitations. This has prompted health care services to introduce electronically delivered CBT (eCBT) to facilitate access. Although previous reviews have compared the effects of eCBT to face-to-face CBT, there is an overall lack of adequately powered and up-to-date evidence in the literature to provide a reliable comparison between the two modes of administration. The purpose of this study is to evaluate the effects of eCBT compared to face-to-face CBT through a systematic review of the literature. Methods: To be eligible for this review, studies needed to be randomized controlled trials evaluating the clinical effectiveness of any form of eCBT compared to face-to-face CBT. These encompassed studies evaluating a wide range of outcomes including severity of symptoms, adverse outcomes, clinically relevant outcomes, global functionality, participant satisfaction, quality of life, and affordability. There were no restrictions on participant age or sex. We searched MEDLINE, EMBASE, Psych Info, Cochrane CENTRAL and CINAHL databases from inception to February 20th, 2020 using a comprehensive search strategy. All stages of literature screening and data extraction were completed independently in duplicate. Data extraction and risk of bias analyses, including GRADE ratings, were conducted on studies meeting inclusion criteria. Qualitative measures are reported in a narrative summary. We pooled quantitative data in meta-analyses to provide an estimated summary effect. This review adheres to PRISMA reporting guidelines. Findings: In total, we included 17 studies in our analyses. Our results demonstrated that eCBT was more effective than face-to-face CBT at reducing depression symptom severity (Standardized mean difference [SMD]: −1.73; 95% confidence interval [CI]: −2.72, −0.74; GRADE: moderate quality of evidence). There were no significant differences between the two interventions on participant satisfaction (SMD 0.13 95%; CI −0.32, 0.59; GRADE: low quality of evidence). One RCT reported eCBT to be less costly than face-to-face CBT (GRADE: low quality of evidence). Results did not differ when stratified by subgroups such as participant age and study location. Interpretation: Although we found eCBT to have moderate evidence of effectiveness in reducing symptoms of depression, high heterogeneity among studies precludes definitive conclusions for all outcomes. With the current reliance and accessibility of technology to increasing number of people worldwide, serious consideration in utilizing technology should be given to maximize accessibility for depression treatments. Our results found eCBT is at least as effective as face to face CBT, thus eCBT should be offered if preferred by patients and therapists. Funding: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors. … (more)
- Is Part Of:
- EClinicalMedicine. Volume 24(2020)
- Journal:
- EClinicalMedicine
- Issue:
- Volume 24(2020)
- Issue Display:
- Volume 24, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 24
- Issue:
- 2020
- Issue Sort Value:
- 2020-0024-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-07
- Subjects:
- Depression -- Electronic -- Cognitive behavioural therapy -- Behavior -- MDD -- Systematic review -- CBT -- Major depressive disorders
Medicine -- Research -- Periodicals
Medical policy -- Periodicals
Clinical Medicine
Health Policy
Public Health
Medical policy
Medicine -- Research
Periodical
Electronic journals
Periodicals
613 - Journal URLs:
- https://www.sciencedirect.com/science/journal/25895370 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.eclinm.2020.100442 ↗
- Languages:
- English
- ISSNs:
- 2589-5370
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19328.xml