Patient engagement and the design of digital health.

Digital health is an area of growing interest for physicians, patients, and technology companies alike. It promises the ability to engage patients in their care, before, during, and after an emergency department visit. Current efforts to create, study, and disseminate digital health have been limited by lack of user engagement. In this commentary, we outline the imperative for engaging end-users in each phase of digital health design, as well as a few techniques to facilitate better digital health design and implementation.

[1]  Nancy P Barnett,et al.  Translating Behavioral Interventions Onto mHealth Platforms: Developing Text Message Interventions for Smoking and Alcohol , 2015, JMIR mHealth and uHealth.

[2]  Dhavan V. Shah,et al.  How Can Research Keep Up With eHealth? Ten Strategies for Increasing the Timeliness and Usefulness of eHealth Research , 2014, Journal of medical Internet research.

[3]  E. Boudreaux,et al.  A systematic review of emergency department technology-based behavioral health interventions. , 2012, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[4]  K. Lorig,et al.  A Review and Synthesis of Research Evidence for Self-Efficacy-Enhancing Interventions for Reducing Chronic Disability: Implications for Health Education Practice (Part I) , 2005, Health promotion practice.

[5]  Judith H Hibbard,et al.  Do increases in patient activation result in improved self-management behaviors? , 2007, Health services research.

[6]  Margaret M. Thorsen,et al.  Acceptability, language, and structure of text message-based behavioral interventions for high-risk adolescent females: a qualitative study. , 2014, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[7]  Serena Barello,et al.  The Challenges of Conceptualizing Patient Engagement in Health Care: A Lexicographic Literature Review , 2014 .

[8]  M. Clark,et al.  Emergency department patients' preferences for technology-based behavioral interventions. , 2012, Annals of emergency medicine.

[9]  Jeffrey Kristan,et al.  Using online crowdsourcing to understand young adult attitudes toward expert-authored messages aimed at reducing hazardous alcohol consumption and to collect peer-authored messages , 2015, Translational behavioral medicine.

[10]  William Brown,et al.  Assessment of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating mobile health (mHealth) technology , 2013, J. Biomed. Informatics.

[11]  Rochelle K. Rosen,et al.  Formative Research for Mhealth HIV Adherence: The iHAART App , 2015, 2015 48th Hawaii International Conference on System Sciences.

[12]  Eric J Topol,et al.  Can mobile health technologies transform health care? , 2013, JAMA.

[13]  M J Ball,et al.  Healthcare Informatics , 2009, Encyclopedia of Database Systems.

[14]  D. Lupton The digitally engaged patient: Self-monitoring and self-care in the digital health era , 2013 .

[15]  Douglas McCarthy,et al.  Taking Digital Health to the Next Level , 2014 .

[16]  J. Parish The Patient Will See You Now: The Future of Medicine is in Your Hands. , 2015, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine.

[17]  W. Frist Connected health and the rise of the patient-consumer. , 2014, Health affairs.

[18]  Predrag V. Klasnja,et al.  Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research , 2013, CHI.