Self-Tracking, Hacking, or Slacking? Health Justice in an Era of mHealth Technology

Authors

  • Nancy Tuck Albany Medical College, Albany, NY, USA Author

DOI:

https://doi.org/10.65539/3jyb7p56

Keywords:

mHealth, mobile health technology, health justice, medical ethics, privacy, health policy

Abstract

As the doctor-patient relationship continues to evolve, there is increased enthusiasm for the role of mHealth technologies (smartphone apps or wearable sensors that monitor/log health-related functions) in the promotion of precision medicine. But numerous challenges have also emerged in the collection, transmission, and storage of personal health data. This paper addresses the ethical, legal, and public policy implications of mHealth use in the just allocation of health care resources. First, it utilizes Beauchamp and Childress' four principles of medical ethics (autonomy, beneficence, nonmaleficence, and justice) to weigh ethical considerations; next, it reviews privacy issues (e.g. informed consent, use of personal health information), and marketing influences, all of which raise legal concerns; and, finally, it looks at practical implementation of mHealth data/analysis, discussing evidence of current and future impacts upon health policy.

Downloads

Download data is not yet available.

References

Anderson-Lewis, C., Darville, G., Mercado, R. E., Howell, S., & Di Maggio, S. (2018). mHealth technology use and implications in historically underserved and minority populations in the United States: Systematic literature review. Journal of Medical Internet Research. https://doi.org/10.2196/mhealth.8383

Beauchamp, T. L., & Childress, J. F. (2013). Principles of Biomedical Ethics (7th Edition). New York: Oxford University Press.

Bloomrosen, M. (2014). US Public Policy Considerations for Mobile Health Information Technology. Retrieved from https://digitalcommons.ohsu.edu/cgi/viewcontent.cgi?referer=https://www.google.com/&httpsredir=1&article=7920&context=etd

Brewer, L. C., Jenkins, S., Lackore, K., Johnson, J., Jones, C., Cooper, L. A., … Patten, C. (2018). mHealth Intervention Promoting Cardiovascular Health Among African-Americans: Recruitment and Baseline Characteristics of a Pilot Study. JMIR Research Protocols. https://doi.org/10.2196/resprot.8842

Coppetti, T., Brauchlin, A., Müggler, S., Attinger-Toller, A., Templin, C., Schönrath, F., … Wyss, C. A. (2017). Accuracy of smartphone apps for heart rate measurement. European Journal of Preventive Cardiology, 24(12), 1287–1293. https://doi.org/10.1177/2047487317702044

Elgendi, M., Fletcher, R., Liang, Y., Howard, N., Lovell, N. H., Abbott, D., … Ward, R. (2019). The use of photoplethysmography for assessing hypertension. Npj Digital Medicine, 2(1), 1–11. https://doi.org/10.1038/s41746-019-0136-7

Francis, I. (2017). Using Classical Ethical Principles to Guide mHealth Design. Online Journal of Nursing Informatics, 21(3). Retrieved from https://www.himss.org/library/using-classical-ethical-principles-guide-mhealth-design

Health Information and the Law Project. (2015). Retrieved from http://www.healthinfolaw.org/comparative-analysis/who-owns-medical-records-50-state-comparison

Li, K. H. C., White, F. A., Tipoe, T., Liu, T., Wong, M. C. S., Jesuthasan, A., … Yan, B. P. (2019). The current state of mobile phone apps for monitoring heart rate, heart rate variability, and atrial fibrillation: Narrative review. Journal of Medical Internet Research, 21(2), 1–16. https://doi.org/10.2196/11606

MEASURE Evaluation of mHealth. (2018). Retrieved from https://www.measureevaluation.org

Ostherr, K., Borodina, S., Bracken, R. C., Lotterman, C., Storer, E., & Williams, B. (2017). Trust and privacy in the context of user-generated health data. Big Data & Society. https://doi.org/10.1177/2053951717704673

Paldan, K., Sauer, H., & Wagner, N. F. (2018). Promoting inequality? Self-monitoring applications and the problem of social justice. AI and Society. https://doi.org/10.1007/s00146-018-0835-7

Petersen, C., & DeMuro, P. (2015). Legal and Regulatory Considerations Associated with Use of Patient-Generated Health Data from Social Media and Mobile Health (mHealth) Devices. Applied Clinical Informatics. https://doi.org/10.4338/ACI-2014-09-R-0082

Proesmans, T., Mortelmans, C., Van Haelst, R., Verbrugge, F., Vandervoort, P., & Vaes, B. (2019). Mobile phone-based use of the photoplethysmography technique to detect atrial fibrillation in primary care: Diagnostic accuracy study of the FibriCheck App. Journal of Medical Internet Research, 21(3), 1–11. https://doi.org/10.2196/12284

Schairer, C. E., Rubanovich, C. K., & Bloss, C. S. (2018). How Could Commercial Terms of Use and Privacy Policies Undermine Informed Consent in the Age of Mobile Health? AMA Journal of Ethics. https://doi.org/10.1001/amajethics.2018.864.

Schüll, N. D. (2016). Data for life: Wearable technology and the design of self-care. BioSocieties. https://doi.org/10.1057/biosoc.2015.47

Sharon, T. (2017). Self-Tracking for Health and the Quantified Self: Re-Articulating Autonomy, Solidarity, and Authenticity in an Age of Personalized Healthcare. Philosophy and Technology. https://doi.org/10.1007/s13347-016-0215-5

Downloads

Published

2020-02-28

How to Cite

Self-Tracking, Hacking, or Slacking? Health Justice in an Era of mHealth Technology. (2020). Harvard Medical Student Review, 5(1), 10-18. https://doi.org/10.65539/3jyb7p56

Similar Articles

1-10 of 58

You may also start an advanced similarity search for this article.