Emma Gliddon1, Steven J Barnes2, Greg Murray3, Erin E Michalak4. 1. IMPACT Strategic Research Centre, Deakin University. 2. Department of Psychology, University of British Columbia. 3. Faculty of Health, Arts and Design, Swinburne University. 4. Department of Psychiatry, University of British Columbia.
Abstract
OBJECTIVE: Internet (eHealth) and smartphone-based (mHealth) approaches to self-management for bipolar disorder are increasingly common. Evidence-based self-management strategies are available for bipolar disorder and provide a useful framework for reviewing existing eHealth/mHealth programs to determine whether these strategies are supported by current technologies. This review assesses which self-management strategies are most supported by technology. METHOD: Based on 3 previous studies, 7 categories of self-management strategies related to bipolar disorder were identified, followed by a systematic literature review to identify existing eHealth and mHealth programs for this disorder. Searches were conducted by using PubMed, CINAHL, PsycINFO, EMBASE, and the Cochrane Database of Systematic Reviews for relevant peer-reviewed articles published January 2005 to May 2015. eHealth and mHealth programs were summarized and reviewed to identify which of the 7 self-management strategy categories were supported by eHealth or mHealth programs. RESULTS: From 1,654 publications, 15 papers were identified for inclusion. From these, 9 eHealth programs and 2 mHealth programs were identified. The most commonly supported self-management strategy categories were "ongoing monitoring," "maintaining hope," "education," and "planning for and taking action"; the least commonly supported categories were "relaxation" and "maintaining a healthy lifestyle." eHealth programs appear to provide more comprehensive coverage of self-management strategies compared with mHealth programs. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Both eHealth and mHealth programs present a wide range of self-management strategies for bipolar disorder, although individuals seeking comprehensive interventions might be best served by eHealth programs, while those seeking more condensed and direct interventions might prefer mHealth programs. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
OBJECTIVE: Internet (eHealth) and smartphone-based (mHealth) approaches to self-management for bipolar disorder are increasingly common. Evidence-based self-management strategies are available for bipolar disorder and provide a useful framework for reviewing existing eHealth/mHealth programs to determine whether these strategies are supported by current technologies. This review assesses which self-management strategies are most supported by technology. METHOD: Based on 3 previous studies, 7 categories of self-management strategies related to bipolar disorder were identified, followed by a systematic literature review to identify existing eHealth and mHealth programs for this disorder. Searches were conducted by using PubMed, CINAHL, PsycINFO, EMBASE, and the Cochrane Database of Systematic Reviews for relevant peer-reviewed articles published January 2005 to May 2015. eHealth and mHealth programs were summarized and reviewed to identify which of the 7 self-management strategy categories were supported by eHealth or mHealth programs. RESULTS: From 1,654 publications, 15 papers were identified for inclusion. From these, 9 eHealth programs and 2 mHealth programs were identified. The most commonly supported self-management strategy categories were "ongoing monitoring," "maintaining hope," "education," and "planning for and taking action"; the least commonly supported categories were "relaxation" and "maintaining a healthy lifestyle." eHealth programs appear to provide more comprehensive coverage of self-management strategies compared with mHealth programs. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Both eHealth and mHealth programs present a wide range of self-management strategies for bipolar disorder, although individuals seeking comprehensive interventions might be best served by eHealth programs, while those seeking more condensed and direct interventions might prefer mHealth programs. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Authors: David C Mohr; Francisca Azocar; Andrew Bertagnolli; Tanzeem Choudhury; Paul Chrisp; Richard Frank; Henry Harbin; Trina Histon; Debra Kaysen; Camille Nebeker; Derek Richards; Stephen M Schueller; Nickolai Titov; John Torous; Patricia A Areán Journal: Psychiatr Serv Date: 2021-01-20 Impact factor: 4.157
Authors: Rita Bauer; Tasha Glenn; Sergio Strejilevich; Jörn Conell; Martin Alda; Raffaella Ardau; Bernhard T Baune; Michael Berk; Yuly Bersudsky; Amy Bilderbeck; Alberto Bocchetta; Angela M Paredes Castro; Eric Y W Cheung; Caterina Chillotti; Sabine Choppin; Alessandro Cuomo; Maria Del Zompo; Rodrigo Dias; Seetal Dodd; Anne Duffy; Bruno Etain; Andrea Fagiolini; Miryam Fernández Hernandez; Julie Garnham; John Geddes; Jonas Gildebro; Michael J Gitlin; Ana Gonzalez-Pinto; Guy M Goodwin; Paul Grof; Hirohiko Harima; Stefanie Hassel; Chantal Henry; Diego Hidalgo-Mazzei; Anne Hvenegaard Lund; Vaisnvy Kapur; Girish Kunigiri; Beny Lafer; Erik R Larsen; Ute Lewitzka; Rasmus W Licht; Blazej Misiak; Patryk Piotrowski; Ângela Miranda-Scippa; Scott Monteith; Rodrigo Munoz; Takako Nakanotani; René E Nielsen; Claire O'Donovan; Yasushi Okamura; Yamima Osher; Andreas Reif; Philipp Ritter; Janusz K Rybakowski; Kemal Sagduyu; Brett Sawchuk; Elon Schwartz; Claire Slaney; Ahmad H Sulaiman; Kirsi Suominen; Aleksandra Suwalska; Peter Tam; Yoshitaka Tatebayashi; Leonardo Tondo; Julia Veeh; Eduard Vieta; Maj Vinberg; Biju Viswanath; Mark Zetin; Peter C Whybrow; Michael Bauer Journal: Int J Bipolar Disord Date: 2018-09-04