Healthc Inform Res.  2018 Jul;24(3):207-226. 10.4258/hir.2018.24.3.207.

Effectiveness of Mobile Health Application Use to Improve Health Behavior Changes: A Systematic Review of Randomized Controlled Trials

Affiliations
  • 1School of Nursing, University of Maryland, Baltimore, MD, USA.
  • 2College of Nursing, Research Institute of Nursing Science, Kyungpook National University, Daegu, Korea. jewelee@knu.ac.kr

Abstract


OBJECTIVES
The purpose of this study was to examine the effectiveness of mobile health applications in changing health-related behaviors and clinical health outcomes.
METHODS
A systematic review was conducted in this study. We conducted a comprehensive bibliographic search of articles on health behavior changes related to the use of mobile health applications in peer-reviewed journals published between January 1, 2000 and May 31, 2017. We used databases including CHINAHL, Ovid-Medline, EMBASE, and PubMed. The risk of bias assessment of the retrieved articles was examined using the Scottish Intercollegiate Guidelines Network.
RESULTS
A total of 20 articles met the inclusion criteria. Sixteen among 20 studies reported that applications have a positive impact on the targeted health behaviors or clinical health outcomes. In addition, most of the studies, which examined the satisfaction of participants, showed health app users have a statistically significant higher satisfaction.
CONCLUSIONS
Despite the high risk of bias, such as selection, performance, and detection, this systematic review found that the use of mobile health applications has a positive impact on health-related behaviors and clinical health outcomes. Application users were more satisfied with using mobile health applications to manage their health in comparison to users of conventional care.

Keyword

Health Behavior; Mobile Applications; Smartphone; Review; Mobile Health

MeSH Terms

Bias (Epidemiology)
Health Behavior*
Mobile Applications
Smartphone
Telemedicine*

Figure

  • Figure 1 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram.

  • Figure 2 Summary of risk of bias.


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