Strategies for mHealth Research: Lessons from 3 Mobile Intervention Studies

被引:105
作者
Ben-Zeev, Dror [1 ]
Schueller, Stephen M. [2 ]
Begale, Mark [2 ]
Duffecy, Jennifer [2 ]
Kane, John M. [3 ]
Mohr, David C. [2 ]
机构
[1] Geisel Sch Med Dartmouth, Dartmouth Psychiat Res Ctr, Lebanon, NH 03766 USA
[2] Northwestern Univ, Dept Prevent Med, Ctr Behav Intervent Technol, Chicago, IL 60611 USA
[3] North Shore Long Isl Jewish Hlth Syst, Zucker Hillside Hosp, Psychiat Res, Glen Oaks, NY USA
关键词
Mobile Health (mHealth); e-Health; Mobile interventions; Schizophrenia; Depression; Primary care; SELF-HELP; TECHNOLOGY;
D O I
10.1007/s10488-014-0556-2
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
The capacity of Mobile Health (mHealth) technologies to propel healthcare forward is directly linked to the quality of mobile interventions developed through careful mHealth research. mHealth research entails several unique characteristics, including collaboration with technologists at all phases of a project, reliance on regional telecommunication infrastructure and commercial mobile service providers, and deployment and evaluation of interventions "in the wild", with participants using mobile tools in uncontrolled environments. In the current paper, we summarize the lessons our multi-institutional/multi-disciplinary team has learned conducting a range of mHealth projects using mobile phones with diverse clinical populations. First, we describe three ongoing projects that we draw from to illustrate throughout the paper. We then provide an example for multidisciplinary teamwork and conceptual mHealth intervention development that we found to be particularly useful. Finally, we discuss mHealth research challenges (i.e. evolving technology, mobile phone selection, user characteristics, the deployment environment, and mHealth system "bugs and glitches"), and provide recommendations for identifying and resolving barriers, or preventing their occurrence altogether.
引用
收藏
页码:157 / 167
页数:11
相关论文
共 39 条
  • [31] Proudfoot Judith, 2011, Cognitive Behaviour Therapy, V40, P82, DOI 10.1080/16506073.2011.573807
  • [32] Rapid, responsive, relevant (R3) research: a call for a rapid learning health research enterprise
    Riley, William T.
    Glasgow, Russell E.
    Etheredge, Lynn
    Abernethy, Amy P.
    [J]. CLINICAL AND TRANSLATIONAL MEDICINE, 2013, 2
  • [33] Rotondi Armando J, 2007, Psychol Serv, V4, P202, DOI 10.1037/1541-1559.4.3.202
  • [34] A Stage Model of Behavioral Therapies research: Getting started and moving on from stage I
    Rounsaville, BJ
    Carroll, KM
    Onken, LS
    [J]. CLINICAL PSYCHOLOGY-SCIENCE AND PRACTICE, 2001, 8 (02) : 133 - 142
  • [35] Rudd J., 1996, ACM interactions, V3, P76, DOI [10.1145/223500.223514, DOI 10.1145/223500.223514]
  • [36] Realizing the Potential of Behavioral Intervention Technologies
    Schueller, Stephen M.
    Munoz, Ricardo F.
    Mohr, David C.
    [J]. CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE, 2013, 22 (06) : 478 - 483
  • [37] Smith Aaron., 2013, Smartphone Ownership-2013 Update
  • [38] The Team Science Toolkit Enhancing Research Collaboration Through Online Knowledge Sharing
    Vogel, Amanda L.
    Hall, Kara L.
    Fiore, Stephen M.
    Klein, Julie T.
    Bennett, L. Michelle
    Gadlin, Howard
    Stokols, Daniel
    Nebeling, Linda C.
    Wuchty, Stefan
    Patrick, Kevin
    Spotts, Erica L.
    Pohl, Christian
    Riley, William T.
    Falk-Krzesinski, Holly J.
    [J]. AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2013, 45 (06) : 787 - 789
  • [39] Usability testing in 2000 and beyond
    Wichansky, AM
    [J]. ERGONOMICS, 2000, 43 (07) : 998 - 1006