scholarly journals Gamification: What It Is and Why It Matters to Digital Health Behavior Change Developers

2013 ◽  
Vol 1 (1) ◽  
pp. e3 ◽  
Author(s):  
Brian Cugelman
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Digital Health ◽  
Health Behavior Change

scholarly journals Peer Support: a Human Factor to Enhance Engagement in Digital Health Behavior Change Interventions

2019 ◽  
Vol 4 (2) ◽  
pp. 152-161 ◽  
Author(s):  
Karen L. Fortuna ◽  
Jessica M. Brooks ◽  
Emre Umucu ◽  
Robert Walker ◽  
Phillip I. Chow
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Peer Support ◽  
Human Factor ◽  
Digital Health ◽  
Health Behavior Change ◽  
Behavior Change Interventions

scholarly journals Workshop on the Development and Evaluation of Digital Therapeutics for Health Behavior Change: Science, Methods, and Projects (Preprint)

2019 ◽  
Author(s):  
Alan J Budney ◽  
Lisa A Marsch ◽  
Will M Aklin ◽  
Jacob T Borodovsky ◽  
Mary F Brunette ◽  
...  
Keyword(s):  
Health Care ◽  
Health Behavior ◽  
Behavior Change ◽  
Behavioral Health ◽  
Digital Technology ◽  
Behavioral Science ◽  
Care Delivery ◽  
Digital Health ◽  
Health Behavior Change ◽  
Dartmouth College

UNSTRUCTURED The health care field has integrated advances into digital technology at an accelerating pace to improve health behavior, health care delivery, and cost-effectiveness of care. The realm of behavioral science has embraced this evolution of digital health, allowing for an exciting roadmap for advancing care by addressing the many challenges to the field via technological innovations. Digital therapeutics offer the potential to extend the reach of effective interventions at reduced cost and patient burden and to increase the potency of existing interventions. Intervention models have included the use of digital tools as supplements to standard care models, as tools that can replace a portion of <i>treatment as usual</i>, or as stand-alone tools accessed outside of care settings or direct to the consumer. To advance the potential public health impact of this promising line of research, multiple areas warrant further development and investigation. The Center for Technology and Behavioral Health (CTBH), a P30 <i>Center of Excellence</i> supported by the National Institute on Drug Abuse at the National Institutes of Health, is an interdisciplinary research center at Dartmouth College focused on the goal of harnessing existing and emerging technologies to effectively develop and deliver evidence-based interventions for substance use and co-occurring disorders. The CTBH launched a series of workshops to encourage and expand multidisciplinary collaborations among Dartmouth scientists and international CTBH affiliates engaged in research related to digital technology and behavioral health (eg, addiction science, behavioral health intervention, technology development, computer science and engineering, digital security, health economics, and implementation science). This paper summarizes a workshop conducted on the <i>Development and Evaluation of Digital Therapeutics for Behavior Change</i>, which addressed (1) principles of behavior change, (2) methods of identifying and testing the underlying mechanisms of behavior change, (3) conceptual frameworks for optimizing applications for mental health and addictive behavior, and (4) the diversity of experimental methods and designs that are essential to the successful development and testing of digital therapeutics. Examples were presented of ongoing CTBH projects focused on identifying and improving the measurement of health behavior change mechanisms and the development and evaluation of digital therapeutics. In summary, the workshop showcased the myriad research targets that will be instrumental in promoting and accelerating progress in the field of digital health and health behavior change and illustrated how the CTBH provides a model of multidisciplinary leadership and collaboration that can facilitate innovative, science-based efforts to address the health behavior challenges afflicting our communities.

Facilitating the Adoption of Digital Health Technologies by Older Adults to Support Their Health

2021 ◽  
pp. 164-179
Author(s):  
Maurita T. Harris ◽  
Wendy A. Rogers
Keyword(s):  
Older Adults ◽  
Health Behavior ◽  
Behavior Change ◽  
Technology Acceptance ◽  
Digital Health ◽  
Theoretical Models ◽  
Health Behavior Change ◽  
The United States ◽  
Positive Health ◽  
Health Technologies

With over 50% of older adults in the United States managing at least one chronic condition, it is crucial to understand how to promote their self-management of positive health behaviors. Health interventions through digital health technologies are becoming more commonplace. Theoretical models related to health behavior change and technology acceptance can guide the design of these healthcare tools and lead to adoption by older adults to support their health. This chapter provides an overview of health behavior change and technology acceptance models to inform the development of digital health technology for older adults. This chapter illustrates the application of these models by describing two design personas that represent human factors designers. This chapter discusses the lack of inclusion of technology adoption and other long-term concepts and the need for further exploration that could inform understanding of technology integration into everyday health activities.

scholarly journals Workshop on the Development and Evaluation of Digital Therapeutics for Health Behavior Change: Science, Methods, and Projects

10.2196/16751 ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. e16751 ◽  
Author(s):  
Alan J Budney ◽  
Lisa A Marsch ◽  
Will M Aklin ◽  
Jacob T Borodovsky ◽  
Mary F Brunette ◽  
...  
Keyword(s):  
Health Care ◽  
Health Behavior ◽  
Behavior Change ◽  
Behavioral Health ◽  
Digital Technology ◽  
Behavioral Science ◽  
Care Delivery ◽  
Digital Health ◽  
Health Behavior Change ◽  
Dartmouth College

The health care field has integrated advances into digital technology at an accelerating pace to improve health behavior, health care delivery, and cost-effectiveness of care. The realm of behavioral science has embraced this evolution of digital health, allowing for an exciting roadmap for advancing care by addressing the many challenges to the field via technological innovations. Digital therapeutics offer the potential to extend the reach of effective interventions at reduced cost and patient burden and to increase the potency of existing interventions. Intervention models have included the use of digital tools as supplements to standard care models, as tools that can replace a portion of treatment as usual, or as stand-alone tools accessed outside of care settings or direct to the consumer. To advance the potential public health impact of this promising line of research, multiple areas warrant further development and investigation. The Center for Technology and Behavioral Health (CTBH), a P30 Center of Excellence supported by the National Institute on Drug Abuse at the National Institutes of Health, is an interdisciplinary research center at Dartmouth College focused on the goal of harnessing existing and emerging technologies to effectively develop and deliver evidence-based interventions for substance use and co-occurring disorders. The CTBH launched a series of workshops to encourage and expand multidisciplinary collaborations among Dartmouth scientists and international CTBH affiliates engaged in research related to digital technology and behavioral health (eg, addiction science, behavioral health intervention, technology development, computer science and engineering, digital security, health economics, and implementation science). This paper summarizes a workshop conducted on the Development and Evaluation of Digital Therapeutics for Behavior Change, which addressed (1) principles of behavior change, (2) methods of identifying and testing the underlying mechanisms of behavior change, (3) conceptual frameworks for optimizing applications for mental health and addictive behavior, and (4) the diversity of experimental methods and designs that are essential to the successful development and testing of digital therapeutics. Examples were presented of ongoing CTBH projects focused on identifying and improving the measurement of health behavior change mechanisms and the development and evaluation of digital therapeutics. In summary, the workshop showcased the myriad research targets that will be instrumental in promoting and accelerating progress in the field of digital health and health behavior change and illustrated how the CTBH provides a model of multidisciplinary leadership and collaboration that can facilitate innovative, science-based efforts to address the health behavior challenges afflicting our communities.

Predictors of Health Behavior Change in School-Based Obesity Prevention

2008 ◽  
Author(s):  
Kara Harrington ◽  
Maureen E. Kenny ◽  
Deirdre Brogan ◽  
Lynn Y. Walsh
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Obesity Prevention ◽  
Health Behavior Change ◽  
School Based

A review of mHealth depression apps: Assessing app functions for the Self-Determination Theory (Preprint)

2020 ◽  
Author(s):  
Luke Brownlow
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Basic Needs ◽  
Health Behavior Change ◽  
Self Determination Theory ◽  
Healthcare Research ◽  
The Self ◽  
Self Determination ◽  
Ideal Tool ◽  
Google Play

BACKGROUND Smartphone applications (apps) are an ideal tool that is highly accessible to people who wish to begin self-treatment for depression. While many studies have performed content analyses on healthcare apps, few studies have reviewed these apps for adherence to behavior theory. Furthermore, apps for depression management are underrepresented in healthcare research. OBJECTIVE The objective of this study is to assess mHealth depression apps using SDT as a theoretical framework for meeting needs of autonomy, competence and, relatedness METHODS All depression healthcare apps available in Australia from the iTunes and Google Play app stores that met the inclusion criteria were analyzed. Each app was reviewed based on price options, store availability, download rates, and how in-app functions met the three basic needs for motivation towards health behavior change outlined in the Self-Determination Theory (SDT). RESULTS The analysis of the apps showed that most apps were free to download (69.9%) and addressed at least one of the three needs (81.4%) of SDT. However, few apps addressed all three of the basic needs through their functions (7.7%), and no apps hosted all functions expected to stimulate motivation for health behavior change. Furthermore, neither store availability, price option nor download rate were accurate predictors that apps hosted in-app functions expected to meet the basic needs. CONCLUSIONS The results suggest that some depression healthcare apps that meet the basic needs would effectively stimulate motivation (i.e., autonomy, competence, and relatedness). However, each individual app is limited in its number of functions that meet the basic needs. People who want access to more functions would need to download a suite of apps.

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