Literature DB >> 30034298

Building an Evidence Base Using Qualitative Data for mHealth Development.

Beth Bock1, Rochelle Rosen1, Herpreet Thind1, Nancy Barnett2, Kristen Walaska3, Victoria Cobb3.   

Abstract

To be successful mHealth applications must be consistent with the way individuals use technology. Using qualitative methods and an iterative approach that blends consumer-driven and investigator-driven aims can produce paradigm-shifting, novel intervention applications that maximize the likelihood of use by the target audience and their potential impact on health behaviors. In behavioral health the development of mHealth applications often takes a top-down approach driven by the investigators and programmers, with relatively little input from the targeted population. Often user-input is limited to "like/dislike" post-intervention consumer satisfaction ratings or device/application-specific user analytics. To have a lasting effect on health behaviors it is crucial to obtain user input from the start of each project and throughout development. This paper describes the use of qualitative methods in an end-user participatory framework, and demonstrates how this lead to important changes in our approach to health interventions delivered through mobile technologies.

Entities:  

Year:  2014        PMID: 30034298      PMCID: PMC6052440          DOI: 10.1109/HICSS.2014.335

Source DB:  PubMed          Journal:  Proc Annu Hawaii Int Conf Syst Sci        ISSN: 1530-1605


  28 in total

Review 1.  Text messaging as a tool for behavior change in disease prevention and management.

Authors:  Heather Cole-Lewis; Trace Kershaw
Journal:  Epidemiol Rev       Date:  2010-03-30       Impact factor: 6.222

2.  Use of tobacco cessation treatments among young adult smokers: 2005 National Health Interview Survey.

Authors:  Susan J Curry; Amy K Sporer; Oksana Pugach; Richard T Campbell; Sherry Emery
Journal:  Am J Public Health       Date:  2007-06-28       Impact factor: 9.308

3.  Implementation science approaches for integrating eHealth research into practice and policy.

Authors:  Russell E Glasgow; Siobhan M Phillips; Michael A Sanchez
Journal:  Int J Med Inform       Date:  2013-07-30       Impact factor: 4.046

Review 4.  Health behavior models in the age of mobile interventions: are our theories up to the task?

Authors:  William T Riley; Daniel E Rivera; Audie A Atienza; Wendy Nilsen; Susannah M Allison; Robin Mermelstein
Journal:  Transl Behav Med       Date:  2011-03       Impact factor: 3.046

5.  MHealth: promise and pitfalls.

Authors:  David Levin
Journal:  Front Health Serv Manage       Date:  2012

Review 6.  Mobile phone-based interventions for smoking cessation.

Authors:  Robyn Whittaker; Ron Borland; Chris Bullen; Ruey B Lin; Hayden McRobbie; Anthony Rodgers
Journal:  Cochrane Database Syst Rev       Date:  2009-10-07

Review 7.  Telephone counselling for smoking cessation.

Authors:  Lindsay F Stead; Jamie Hartmann-Boyce; Rafael Perera; Tim Lancaster
Journal:  Cochrane Database Syst Rev       Date:  2013-08-12

8.  User preferences for a text message-based smoking cessation intervention.

Authors:  Beth C Bock; Kristin E Heron; Ernestine G Jennings; Joshua C Magee; Kathleen M Morrow
Journal:  Health Educ Behav       Date:  2012-10-19

9.  Current cigarette smoking among adults - United States, 2011.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2012-11-09       Impact factor: 17.586

10.  A Text Message Delivered Smoking Cessation Intervention: The Initial Trial of TXT-2-Quit: Randomized Controlled Trial.

Authors:  Beth Bock; Kristin Heron; Ernestine Jennings; Kathleen Morrow; Victoria Cobb; Joshua Magee; Joseph Fava; Christopher Deutsch; Robert Foster
Journal:  JMIR Mhealth Uhealth       Date:  2013-07-30       Impact factor: 4.773

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