Detecting Gamification in Breast Cancer Apps: an automatic methodology
  for screening purposes

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Breast cancer is the most common cancer in women both in developed and developing countries. More than half of all cancer mobile application concern breast cancer. Gamification is widely used in mobile software applications created for health-related services. Current prevalence of gamification in breast cancer apps is unknown and detection must be manually performed. The purpose of this study is to describe and produce a tool allowing automatic detection of apps which contain gamification elements and thus empowering researchers to study gamification using large data samples. Predictive logistic regression model was designed on data extracted from breast cancer apps' title and description text available in app stores. Model was validated comparing estimated and benchmark values, observed by gamification specialists. Study's outcome can be applied as a screening tool to efficiently identify gamification presence in breast cancer apps for further research.

Related collections

Most cited references 5

Record: found
Abstract: found
Article: found

Is Open Access

Just a Fad? Gamification in Health and Fitness Apps

Cameron Lister, Joshua West, Ben Cannon … (2014)

Background Gamification has been a predominant focus of the health app industry in recent years. However, to our knowledge, there has yet to be a review of gamification elements in relation to health behavior constructs, or insight into the true proliferation of gamification in health apps. Objective The objective of this study was to identify the extent to which gamification is used in health apps, and analyze gamification of health and fitness apps as a potential component of influence on a consumer’s health behavior. Methods An analysis of health and fitness apps related to physical activity and diet was conducted among apps in the Apple App Store in the winter of 2014. This analysis reviewed a sample of 132 apps for the 10 effective game elements, the 6 core components of health gamification, and 13 core health behavior constructs. A regression analysis was conducted in order to measure the correlation between health behavior constructs, gamification components, and effective game elements. Results This review of the most popular apps showed widespread use of gamification principles, but low adherence to any professional guidelines or industry standard. Regression analysis showed that game elements were associated with gamification (P<.001). Behavioral theory was associated with gamification (P<.05), but not game elements, and upon further analysis gamification was only associated with composite motivational behavior scores (P<.001), and not capacity or opportunity/trigger. Conclusions This research, to our knowledge, represents the first comprehensive review of gamification use in health and fitness apps, and the potential to impact health behavior. The results show that use of gamification in health and fitness apps has become immensely popular, as evidenced by the number of apps found in the Apple App Store containing at least some components of gamification. This shows a lack of integrating important elements of behavioral theory from the app industry, which can potentially impact the efficacy of gamification apps to change behavior. Apps represent a very promising, burgeoning market and landscape in which to disseminate health behavior change interventions. Initial results show an abundant use of gamification in health and fitness apps, which necessitates the in-depth study and evaluation of the potential of gamification to change health behaviors.

0 comments Cited 145 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: found

Is Open Access

Issues in mHealth: Findings From Key Informant Interviews

Robyn Whittaker (2012)

Background mHealth is enjoying considerable interest and private investment in the United States. A small but growing body of evidence indicates some promise in supporting healthy behavior change and self-management of long-term conditions. The unique benefits mobile phones bring to health initiatives, such as direct access to health information regardless of time or location, may create specific issues for the implementation of such initiatives. Other issues may be shared with general health information technology developments. Objective To determine the important issues facing the implementation of mHealth from the perspective of those within the US health system and those working in mHealth in the United States. Methods Semistructured interviews were conducted with 27 key informants from across the health and mHealth sectors in the United States. Interviewees were approached directly following an environmental scan of mHealth in the United States or recommendation by those working in mHealth. Results The most common issues were privacy and data security, funding, a lack of good examples of the efficacy and cost effectiveness of mHealth in practice, and the need for more high-quality research. The issues are outlined and categorized according to the environment within which they predominantly occur: policy and regulatory environments; the wireless industry; the health system; existing mHealth practice; and research. Conclusions Many of these issues could be addressed by making the most of the current US health reform environment, developing a strategic and coordinated approach, and seeking to improve mHealth practice.

0 comments Cited 64 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: not found
Conference Proceedings: not found

Designing gamification

Sebastian Deterding, Lennart Nacke, Dan A Dixon … (2013)

0 comments Cited 17 times – based on 0 reviews

Bookmark

All references

Author and article information

Journal

Publication date Created: 2017-05-09

Article

ArXiV ID: 1705.03228

SO-VID: a38b2d18-dc64-40f3-a0fa-2264ccaedc21

License:

http://arxiv.org/licenses/nonexclusive-distrib/1.0/

History

Custom metadata

Comments Article submitted to the 30th IEEE International Symposium on Computer-Based Medical Systems - IEEE CBMS 2017, Thessaloniki, Greece. 6 pages, 2 figures, 5 tables

Categories cs.HC

ScienceOpen disciplines: Human-computer-interaction

Data availability:

ScienceOpen disciplines: Human-computer-interaction