Literature DB >> 21085550

Use of the internet to assist in the treatment of depression and anxiety: a systematic review.

Alan G Wade1.   

Abstract

OBJECTIVE: This systematic review aims to describe the Internet's potential role in assisting patients with depression and anxiety. DATA SOURCES: A MEDLINE search was conducted of articles published between 1998 and 2008 using the terms depression and anxiety and Internet, computers and depression and anxiety, Internet and compliance and depression, and Internet and adherence and depression. STUDY SELECTION: Publications cited include articles concerned with the Internet in screening, supporting, educating, and treating patients with depression and anxiety. DATA EXTRACTION: The efficacy of Internet-based interventions for depression and anxiety was reviewed, alongside the quality of available online information regarding these disorders. DATA SYNTHESIS: Little progress has been made in developing a universally accepted system for quality assurance of medical information Web sites. Furthermore, there is a lack of research describing the effect of self-diagnosis sites on meaningful outcomes, such as the proportion of patients who go on to receive successful treatment for their depression. Early studies of Internet-based cognitive-behavioral therapy for depression were promising; however, results of clinical trials for "e-therapy" have been variable due to methodological issues. A novel compliance support Web site for patients with depression and anxiety is being evaluated to establish whether providing such assistance can improve patient outcomes.
CONCLUSIONS: The use of the Internet to assist patients with depression and anxiety is currently in its infancy. However, it appears that the Internet has great potential to support patients with depression and may consequently also be of benefit to physicians.

Entities:  

Year:  2010        PMID: 21085550      PMCID: PMC2983464          DOI: 10.4088/PCC.09r00876blu

Source DB:  PubMed          Journal:  Prim Care Companion J Clin Psychiatry        ISSN: 1523-5998


  60 in total

Review 1.  Technological innovations in clinical assessment and psychotherapy.

Authors:  Paul M G Emmelkamp
Journal:  Psychother Psychosom       Date:  2005       Impact factor: 17.659

Review 2.  Internet methods for delivering behavioral and health-related interventions (eHealth).

Authors:  Victor Strecher
Journal:  Annu Rev Clin Psychol       Date:  2007       Impact factor: 18.561

3.  Internet-based self-help with therapist feedback and in vivo group exposure for social phobia: a randomized controlled trial.

Authors:  Gerhard Andersson; Per Carlbring; Annelie Holmström; Elisabeth Sparthan; Tomas Furmark; Elisabeth Nilsson-Ihrfelt; Monica Buhrman; Lisa Ekselius
Journal:  J Consult Clin Psychol       Date:  2006-08

4.  Who uses mental health services in Australia? An analysis of data from the National Survey of Mental Health and Wellbeing.

Authors:  R A Parslow; A F Jorm
Journal:  Aust N Z J Psychiatry       Date:  2000-12       Impact factor: 5.744

Review 5.  Met and unmet needs in the management of depressive disorder in the community and primary care: the size and breadth of the problem.

Authors:  H U Wittchen; F Holsboer; F Jacobi
Journal:  J Clin Psychiatry       Date:  2001       Impact factor: 4.384

Review 6.  The treatment gap in mental health care.

Authors:  Robert Kohn; Shekhar Saxena; Itzhak Levav; Benedetto Saraceno
Journal:  Bull World Health Organ       Date:  2004-12-14       Impact factor: 9.408

7.  One-year follow-up results of a randomized controlled clinical trial on internet-based cognitive behavioural therapy for subthreshold depression in people over 50 years.

Authors:  V Spek; P Cuijpers; I Nyklícek; N Smits; H Riper; J Keyzer; V Pop
Journal:  Psychol Med       Date:  2008-01-21       Impact factor: 7.723

8.  Use of the Internet and e-mail for health care information: results from a national survey.

Authors:  Laurence Baker; Todd H Wagner; Sara Singer; M Kate Bundorf
Journal:  JAMA       Date:  2003-05-14       Impact factor: 56.272

9.  Delivering interventions for depression by using the internet: randomised controlled trial.

Authors:  Helen Christensen; Kathleen M Griffiths; Anthony F Jorm
Journal:  BMJ       Date:  2004-01-23

10.  Website quality indicators for consumers.

Authors:  Kathleen M Griffiths; Helen Christensen
Journal:  J Med Internet Res       Date:  2005-11-15       Impact factor: 5.428

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  10 in total

Review 1.  Meta-review of the effectiveness of computerised CBT in treating depression.

Authors:  Pooria Sarrami Foroushani; Justine Schneider; Neda Assareh
Journal:  BMC Psychiatry       Date:  2011-08-12       Impact factor: 3.630

2.  'Red Ruby': an interactive web-based intervention for lifestyle modification on metabolic syndrome: a study protocol for a randomized controlled trial.

Authors:  Leila Jahangiry; Davoud Shojaeizadeh; Mahdi Najafi; Kazem Mohammad; Mahdieh Abbasalizad Farhangi; Ali Montazeri
Journal:  BMC Public Health       Date:  2014-07-24       Impact factor: 3.295

Review 3.  Finding a depression app: a review and content analysis of the depression app marketplace.

Authors:  Nelson Shen; Michael-Jane Levitan; Andrew Johnson; Jacqueline Lorene Bender; Michelle Hamilton-Page; Alejandro Alex R Jadad; David Wiljer
Journal:  JMIR Mhealth Uhealth       Date:  2015-02-16       Impact factor: 4.773

4.  Expectations and needs of patients with a chronic disease toward self-management and eHealth for self-management purposes.

Authors:  Martine W J Huygens; Joan Vermeulen; Ilse C S Swinkels; Roland D Friele; Onno C P van Schayck; Luc P de Witte
Journal:  BMC Health Serv Res       Date:  2016-07-08       Impact factor: 2.655

5.  A Web-Based Psychoeducational Intervention Program for Depression and Anxiety in an Adult Community in Selangor, Malaysia: Protocol of a Randomized Controlled Trial.

Authors:  Siti Fatimah Kader Maideen; Sherina Mohd-Sidik; Lekhraj Rampal; Firdaus Mukhtar; Normala Ibrahim; Cheng-Kar Phang; Kit-Aun Tan; Rozali Ahmad
Journal:  JMIR Res Protoc       Date:  2016-06-21

6.  A neural network approach to optimising treatments for depression using data from specialist and community psychiatric services in Australia, New Zealand and Japan.

Authors:  Aidan Cousins; Lucas Nakano; Emma Schofield; Rasa Kabaila
Journal:  Neural Comput Appl       Date:  2022-01-13       Impact factor: 5.606

Review 7.  Strategies to improve access to cognitive behavioral therapies for anxiety disorders: A scoping review.

Authors:  Jean-Daniel Carrier; Frances Gallagher; Alain Vanasse; Pasquale Roberge
Journal:  PLoS One       Date:  2022-03-01       Impact factor: 3.240

8.  Feasibility, engagement, and preliminary clinical outcomes of a digital biodata-driven intervention for anxiety and depression.

Authors:  Charalampos Tsirmpas; Dimitrios Andrikopoulos; Panagiotis Fatouros; Georgios Eleftheriou; Joaquin A Anguera; Konstantinos Kontoangelos; Charalabos Papageorgiou
Journal:  Front Digit Health       Date:  2022-07-22

9.  Clinical Practice Models for the Use of E-Mental Health Resources in Primary Health Care by Health Professionals and Peer Workers: A Conceptual Framework.

Authors:  Julia Reynolds; Kathleen M Griffiths; John A Cunningham; Kylie Bennett; Anthony Bennett
Journal:  JMIR Ment Health       Date:  2015-03-23

10.  Managing clients' expectations at the outset of online Cognitive Behavioural Therapy (CBT) for depression.

Authors:  Stuart Ekberg; Rebecca K Barnes; David S Kessler; Alice Malpass; Alison R G Shaw
Journal:  Health Expect       Date:  2014-08-02       Impact factor: 3.377

  10 in total

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