Literature DB >> 25584082

e-Health intervention development: a synopsis and comment on "What Design Features are Used in Effective e-Health Interventions? A Review Using Techniques From Critical Interpretive Synthesis".

Christine A Pellegrini1, Jeremy Steglitz1, Sara A Hoffman1.   

Abstract

In this synopsis and commentary on the Morrison and colleagues article published in Telemedicine and e-Health (18:2, 137-144, 2012), we provide a brief review of effective design features of e-Health interventions as well as a discussion on future directions. The Internet is being used more frequently to deliver health behavior interventions; however, it is unclear which design features contribute to intervention outcomes. Morrison and colleagues conducted a review using critical interpretive synthesis techniques to identify design features that mediate the effects of e-Health intervention outcomes. A total of four design features were identified (social context and support, contacts with intervention, tailoring, and self-management) that may mediate the effect of the intervention on outcomes. This review provides a preliminary conceptual framework to guide future evaluations of the effects of e-Health design features on intervention outcomes. Future research should target optimizing e-Health interventions to determine which design features should be included as well as how they contribute to outcomes.

Keywords:  Technology; Telehealth; e-Health

Year:  2014        PMID: 25584082      PMCID: PMC4286551          DOI: 10.1007/s13142-014-0283-y

Source DB:  PubMed          Journal:  Transl Behav Med        ISSN: 1613-9860            Impact factor:   3.046


  9 in total

1.  Intervention mapping: protocol for applying health psychology theory to prevention programmes.

Authors:  Gerjo Kok; Herman Schaalma; Robert A C Ruiter; Pepijn van Empelen; Johannes Brug
Journal:  J Health Psychol       Date:  2004-01

2.  The problem of appraising qualitative research.

Authors:  M Dixon-Woods; R L Shaw; S Agarwal; J A Smith
Journal:  Qual Saf Health Care       Date:  2004-06

Review 3.  A conceptual framework for adaptive preventive interventions.

Authors:  Linda M Collins; Susan A Murphy; Karen L Bierman
Journal:  Prev Sci       Date:  2004-09

Review 4.  What design features are used in effective e-health interventions? A review using techniques from Critical Interpretive Synthesis.

Authors:  Leanne G Morrison; Lucy Yardley; John Powell; Susan Michie
Journal:  Telemed J E Health       Date:  2012-03       Impact factor: 3.536

5.  A taxonomy of behavior change techniques used in interventions.

Authors:  Charles Abraham; Susan Michie
Journal:  Health Psychol       Date:  2008-05       Impact factor: 4.267

6.  Experimental design and primary data analysis methods for comparing adaptive interventions.

Authors:  Inbal Nahum-Shani; Min Qian; Daniel Almirall; William E Pelham; Beth Gnagy; Gregory A Fabiano; James G Waxmonsky; Jihnhee Yu; Susan A Murphy
Journal:  Psychol Methods       Date:  2012-10-01

Review 7.  Internet-based patient education and support interventions: a review of evaluation studies and directions for future research.

Authors:  Huong Q Nguyen; Virginia Carrieri-Kohlman; Sally H Rankin; Robert Slaughter; Michael S Stulbarg
Journal:  Comput Biol Med       Date:  2004-03       Impact factor: 4.589

Review 8.  Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy.

Authors:  Thomas L Webb; Judith Joseph; Lucy Yardley; Susan Michie
Journal:  J Med Internet Res       Date:  2010-02-17       Impact factor: 5.428

Review 9.  The effectiveness of Web-based vs. non-Web-based interventions: a meta-analysis of behavioral change outcomes.

Authors:  Dean J Wantland; Carmen J Portillo; William L Holzemer; Rob Slaughter; Eva M McGhee
Journal:  J Med Internet Res       Date:  2004-11-10       Impact factor: 5.428

  9 in total
  6 in total

Review 1.  Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention: A Scientific Statement From the American Heart Association.

Authors:  Lora E Burke; Jun Ma; Kristen M J Azar; Gary G Bennett; Eric D Peterson; Yaguang Zheng; William Riley; Janna Stephens; Svati H Shah; Brian Suffoletto; Tanya N Turan; Bonnie Spring; Julia Steinberger; Charlene C Quinn
Journal:  Circulation       Date:  2015-08-13       Impact factor: 29.690

2.  Feasible but Not Yet Efficacious: A Scoping Review of Wearable Activity Monitors in Interventions Targeting Physical Activity, Sedentary Behavior, and Sleep.

Authors:  Maan Isabella Cajita; Christopher E Kline; Lora E Burke; Evelyn G Bigini; Christopher C Imes
Journal:  Curr Epidemiol Rep       Date:  2020-01-28

3.  Improving Health and Reducing Comorbidity Associated with HIV: The Development of TAVIE en santé, a Web-Based Tailored Intervention to Support the Adoption of Health Promoting Behaviors among People Living with HIV.

Authors:  José Côté; Sylvie Cossette; Pilar Ramirez-Garcia; Geneviève Rouleau; Patricia Auger; François Boudreau; Marie-Pierre Gagnon
Journal:  Biomed Res Int       Date:  2017-03-14       Impact factor: 3.411

4.  Lost in Translation: Transforming Behaviour Change Techniques into Engaging Digital Content and Design for the StopApp.

Authors:  Emily Anne Fulton; Kayleigh L Kwah; Sue Wild; Katherine E Brown
Journal:  Healthcare (Basel)       Date:  2018-07-06

5.  Creating Engaging Health Promotion Campaigns on Social Media: Observations and Lessons From Fitbit and Garmin.

Authors:  Sarah Edney; Svetlana Bogomolova; Jillian Ryan; Tim Olds; Ilea Sanders; Carol Maher
Journal:  J Med Internet Res       Date:  2018-12-10       Impact factor: 5.428

6.  Co-Design in the Development of a Mobile Health App for the Management of Knee Osteoarthritis by Patients and Physicians: Qualitative Study.

Authors:  Kelly J Mrklas; Tanya Barber; Denise Campbell-Scherer; Lee A Green; Linda C Li; Nancy Marlett; Jean Miller; Brittany Shewchuk; Sylvia Teare; Tracy Wasylak; Deborah A Marshall
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-10       Impact factor: 4.773

  6 in total

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