Literature DB >> 19815901

Technologically-assisted behaviour change: a systematic review of studies of novel technologies for the management of chronic illness.

Benjamin A Rosser1, Kevin E Vowles, Edmund Keogh, Christopher Eccleston, Gail A Mountain.   

Abstract

A systematic review was conducted to investigate the use of technology in achieving behaviour change in chronic illness. The areas reviewed were: (1) methods employed to adapt traditional therapy from a face-to-face medium to a computer-assisted platform; (2) targets of behaviour change; and (3) level of human (e.g. therapist) involvement. The initial literature search produced 2032 articles. A total of 45 articles reporting 33 separate interventions met the inclusion/exclusion criteria and were reviewed in detail. The majority of interventions reported a theoretical basis, with many arising from a cognitive-behavioural framework. There was a wide range of therapy content. Therapist involvement was reported in 73% of the interventions. A common problem was high participant attrition, which may have been related to reduced levels of human interaction. Instigating successful behaviour change through technological interventions poses many difficulties. However, there are potential benefits of delivering therapy in this way. For people with long-term health conditions, technological self-management systems could provide a practical method of understanding and monitoring their condition, as well as therapeutic guidance to alter maladaptive behaviour.

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Year:  2009        PMID: 19815901     DOI: 10.1258/jtt.2009.090116

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  32 in total

1.  Predictors of Utilization of a Novel Smoking Cessation Smartphone App.

Authors:  Emily Y Zeng; Roger Vilardaga; Jaimee L Heffner; Kristin E Mull; Jonathan B Bricker
Journal:  Telemed J E Health       Date:  2015-07-14       Impact factor: 3.536

Review 2.  New Developments in the Psychological Management of Chronic Pain.

Authors:  Stephen Morley; Amanda Williams
Journal:  Can J Psychiatry       Date:  2015-04       Impact factor: 4.356

Review 3.  Web-based behavioral interventions for the management of chronic pain.

Authors:  David A Williams
Journal:  Curr Rheumatol Rep       Date:  2011-12       Impact factor: 4.592

4.  Evaluation of a patient information website for childhood cancer survivors.

Authors:  Sebastiaan L Knijnenburg; Leontien C Kremer; A Birgitta Versluys; Katja I Braam; Minke S Mud; Heleen J van der Pal; Huib N Caron; Monique W Jaspers
Journal:  Support Care Cancer       Date:  2012-09-25       Impact factor: 3.603

5.  A randomized controlled evaluation of an online chronic pain self management program.

Authors:  Linda S Ruehlman; Paul Karoly; Craig Enders
Journal:  Pain       Date:  2011-11-30       Impact factor: 6.961

6.  Heart failure patients' perceptions and use of technology to manage disease symptoms.

Authors:  Amanda K Hall; Virginia Dodd; Amy Harris; Kara McArthur; Clifford Dacso; Lara M Colton
Journal:  Telemed J E Health       Date:  2014-01-31       Impact factor: 3.536

7.  An initial trial of a computerized behavioral intervention for cannabis use disorder.

Authors:  Alan J Budney; Stephanie Fearer; Denise D Walker; Catherine Stanger; Jeff Thostenson; Michael Grabinski; Warren K Bickel
Journal:  Drug Alcohol Depend       Date:  2010-12-04       Impact factor: 4.492

8.  A pilot study examining patient attitudes and intentions to adopt assistive technologies into type 2 diabetes self-management.

Authors:  Kathleen G Dobson; Peter Hall
Journal:  J Diabetes Sci Technol       Date:  2014-11-26

9.  Feasibility of a virtual exercise coach to promote walking in community-dwelling persons with Parkinson disease.

Authors:  Terry Ellis; Nancy K Latham; Tamara R DeAngelis; Cathi A Thomas; Marie Saint-Hilaire; Timothy W Bickmore
Journal:  Am J Phys Med Rehabil       Date:  2013-06       Impact factor: 2.159

Review 10.  Long-term effects of exercise and physical therapy in people with Parkinson disease.

Authors:  Margaret K Mak; Irene S Wong-Yu; Xia Shen; Chloe L Chung
Journal:  Nat Rev Neurol       Date:  2017-10-13       Impact factor: 42.937

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