TY - JOUR

T1 - Assessing the Efficacy of Mobile Health Apps Using the Basic Principles of Cognitive Behavioral Therapy: Systematic Review

AU - Rathbone, Amy Leigh

AU - Clarry, Laura

AU - Prescott, Julie

PY - 2017/11/28

Y1 - 2017/11/28

N2 - Background: Cognitive behavioral therapy (CBT) in its basic principle has developed itself as a stand-alone, substantial method of therapy. With effective application in therapy for a range of mental health issues, the spread of CBT methods to Web-based therapy sources is evident. The development of mobile phone apps using CBT principles is increasing within the research area. Despite the move to Web-based methods of therapy, it is argued that these methods lack the same efficacy of face-to-face therapy sessions.Objective:The aim of this review was to assess extent research findings with regard to the effectivenessof CBT-related mobile health (mHealth) apps. By assessing only studies employing a randomized controlledtrial design, the review aimed to determine app efficacy within the highly regarded method ofinvestigation.Methods:A comprehensive literature search was conducted across several databases. Search results werefiltered, and results were subject to strict inclusion and exclusion criteria because of the nature of thereview. Where possible, analysis of effect size was calculated and results reported.Results:A total of 8 studies investigating the effectiveness of mHealth CBT-related apps across a range ofmental health issues were reviewed. Three studies used the app against a control group, and 5 studiesused the app intervention against another form of treatment or intervention. A range of effect sizes wereseen across all included studies (d=−0.13 to 1.83; 0.03-1.44), with the largest effects often being seen when comparing the data from pre- to posttest for the app engaged group.Conclusions:The studies reviewed support the use of mHealth apps containing CBT principles for a rangeof mental health issues. However, the effectiveness over longer time periods should beassessed. Researchers and professionals should seek to collaborate effectively when creating new appsto enhance their effectiveness as a treatment for the general public.

AB - Background: Cognitive behavioral therapy (CBT) in its basic principle has developed itself as a stand-alone, substantial method of therapy. With effective application in therapy for a range of mental health issues, the spread of CBT methods to Web-based therapy sources is evident. The development of mobile phone apps using CBT principles is increasing within the research area. Despite the move to Web-based methods of therapy, it is argued that these methods lack the same efficacy of face-to-face therapy sessions.Objective:The aim of this review was to assess extent research findings with regard to the effectivenessof CBT-related mobile health (mHealth) apps. By assessing only studies employing a randomized controlledtrial design, the review aimed to determine app efficacy within the highly regarded method ofinvestigation.Methods:A comprehensive literature search was conducted across several databases. Search results werefiltered, and results were subject to strict inclusion and exclusion criteria because of the nature of thereview. Where possible, analysis of effect size was calculated and results reported.Results:A total of 8 studies investigating the effectiveness of mHealth CBT-related apps across a range ofmental health issues were reviewed. Three studies used the app against a control group, and 5 studiesused the app intervention against another form of treatment or intervention. A range of effect sizes wereseen across all included studies (d=−0.13 to 1.83; 0.03-1.44), with the largest effects often being seen when comparing the data from pre- to posttest for the app engaged group.Conclusions:The studies reviewed support the use of mHealth apps containing CBT principles for a rangeof mental health issues. However, the effectiveness over longer time periods should beassessed. Researchers and professionals should seek to collaborate effectively when creating new appsto enhance their effectiveness as a treatment for the general public.

U2 - 10.2196/jmir.8598

DO - 10.2196/jmir.8598

M3 - Journal article

VL - 19

JO - Journal of Medical Internet Research

JF - Journal of Medical Internet Research

SN - 1439-4456

IS - 11

M1 - e399

ER -