@article{4c7b0a76bbc34fe7aab8ddc843a52c15,
title = "The role of a clinician amid the rise of mobile health technology",
abstract = "Mobile health (mHealth) interventions have demonstrated promise in improving outcomes by motivating patients to adopt and maintain healthy lifestyle changes as well as improve adherence to guideline-directed medical therapy. Early results combining behavioral economic strategies with mHealth delivery have demonstrated mixed results. In reviewing these studies, we propose that the success of a mHealth intervention links more strongly with how well it connects patients back to routine clinical care, rather than its behavior modification technique in isolation. This underscores the critical role of clinician-patient partnerships in the design and delivery of such interventions, while also raising important questions regarding long-term sustainability and scalability. Further exploration of our hypothesis may increase opportunities for multidisciplinary clinical teams to connect with and engage patients using mHealth technologies in unprecedented ways.",
keywords = "behavioral economics, clinician-patient relationship, doctor-patient relationship, mHealth",
author = "Yang, {William E.} and Shah, {Lochan M.} and Spaulding, {Erin M.} and Jane Wang and Helen Xun and Daniel Weng and Rongzi Shan and Shannon Wongvibulsin and Marvel, {Francoise A.} and Martin, {Seth S.}",
note = "Funding Information: The Corrie Health Digital Platform was developed by FAM, Dr Matthias Lee, and SSM. They are also founders of and hold equity in Corrie Health, which intends to further develop the platform. This arrangement has been reviewed and approved by the Johns Hopkins University in accordance with its conflict of interest policies. Furthermore, Corrie Health has received material support from Apple and iHealth, and funding from the Maryland Innovation Initiative, Wallace H. Coulter Translational Research Partnership, Louis B. Thalheimer Fund, and Johns Hopkins Individualized Health Initiative. Funding Information: This work was supported by National Institutes of Health/National Institute of Nursing Research F31DR017328, Ruth L. Kirschstein National Research Service Award (to EMS), and National Institutes of Health/National Institute of Nursing Research T32, NR012704, Pre-Doctoral Fellowship in Interdisciplinary Cardiovascular Health Research (to EMS); the Johns Hopkins School of Medicine Medical Scientist Training Program (National Institutes of Health: Institutional Predoctoral Training Grant - T32) (to SW), National Institutes of Health Ruth L. Kirschstein Individual Predoctoral NRSA for MD/PhD: F30 Training Grant (to SW), and the Johns Hopkins Individualized Health (inHealth) Initiative (to SW). The funders had no role in decision to publish or preparation of this manuscript, and the remaining authors received no specific funding for this work. Publisher Copyright: {\textcopyright} 2019 The Author(s).",
year = "2019",
month = jul,
day = "22",
doi = "10.1093/jamia/ocz131",
language = "English (US)",
volume = "26",
pages = "1385--1388",
journal = "Journal of the American Medical Informatics Association : JAMIA",
issn = "1067-5027",
publisher = "Oxford University Press",
number = "11",
}