Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Mar 20, 2019
Open Peer Review Period: Mar 26, 2019 - May 21, 2019
Date Accepted: Aug 31, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Use of Evidence-Based Best Practices and Behavior Change Techniques in Breast Cancer Apps: Systematic Analysis

Kalke K, Ginossar T, Bentley JM, Carver H, Shah SFA, Kinney AY

Use of Evidence-Based Best Practices and Behavior Change Techniques in Breast Cancer Apps: Systematic Analysis

JMIR Mhealth Uhealth 2020;8(1):e14082

DOI: 10.2196/14082

PMID: 32012084

PMCID: 7007595

Evidence-based Best Practices and Use of Behavior Change Techniques in Breast Cancer Apps: A Systematic Analysis

  • Kerstin Kalke; 
  • Tamar Ginossar; 
  • Joshua M Bentley; 
  • Hannah Carver; 
  • Sayyed Fawad Ali Shah; 
  • Anita Y Kinney

ABSTRACT

Background:

Mobile phone applications (‘apps’) designed for the prevention and management of breast cancer have the potential to extend current healthcare efforts. Theoretically-designed mHealth breast cancer interventions have shown success in achieving positive behavior change. However, little is known about the theoretical underpinnings of breast cancer apps available to the general public.

Objective:

Given that theories may strengthen mHealth interventions, the aim of this study was to identify breast cancer apps designed to support behavior change and disease management, to assess the extent to which they address content along the cancer-care continuum and contain theory-based constructs, and the degree to which user-rating is related to theory-based design.

Methods:

Using a criteria-based screening process, we searched two major app stores for breast cancer apps designed to promote behavior change. Apps were coded for content along the cancer-care continuum and analyzed for behavior change theories. A correlation analysis was used to examine the relationship between apps’ user ratings and use of behavior change theories.

Results:

The search resulted in a total of 302 apps, of which 108 were identified as including breast cancer content. Only 30 (10%) apps met inclusion criteria for supporting behavior change and were further analyzed. These apps were disproportionally focused on behaviors to enhance early detection, particularly self-exams, whereas only a few apps supported care management, treatment, and post-treatment behaviors. In regard to theories, the majority of apps customized content to users (63%), established a health-behavior link (70%), and provided instructions on how to change behavior (80%). Fifteen apps (50%) prompted intention formation, while less than half included goal setting (30%) and goal reviewing (23%). Most apps did not provide information on peer behavior (23%) or allowed for social comparison (20%). None of the apps mobilized social norms (0%). Only half of all apps had user ratings, and the results of the Pearson r correlation suggested that there was a significant positive correlation between user ratings and use of theories at .422 (p = .022). The analysis of behavioral theories used in apps reveals significant shortcomings in apps’ use of goal setting and social influence features.

Conclusions:

Our findings indicate that commercially-available breast cancer apps have not yet fully realized their potential to promote behavior change, with only a minority of apps focusing on behavior change, and even fewer including theoretical design to support behavior along the cancer continuum. These shortcomings are likely limiting apps’ effectiveness in improving public health. More attention needs to be paid to the involvement of users and professionals in app development and adherence to theories and best practices on the cancer continuum in the design of mHealth apps to provide individuals with the support they need along the cancer-care continuum.


 Citation

Please cite as:

Kalke K, Ginossar T, Bentley JM, Carver H, Shah SFA, Kinney AY

Use of Evidence-Based Best Practices and Behavior Change Techniques in Breast Cancer Apps: Systematic Analysis

JMIR Mhealth Uhealth 2020;8(1):e14082

DOI: 10.2196/14082

PMID: 32012084

PMCID: 7007595

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.