Title |
How Could Commercial Terms of Use and Privacy Policies Undermine Informed Consent in the Age of Mobile Health?
|
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Published in |
The AMA Journal of Ethic, September 2018
|
DOI | 10.1001/amajethics.2018.864 |
Pubmed ID | |
Authors |
Cynthia E Schairer, Caryn Kseniya Rubanovich, Cinnamon S Bloss |
Abstract |
Granular personal data generated by mobile health (mHealth) technologies coupled with the complexity of mHealth systems creates risks to privacy that are difficult to foresee, understand, and communicate, especially for purposes of informed consent. Moreover, commercial terms of use, to which users are almost always required to agree, depart significantly from standards of informed consent. As data use scandals increasingly surface in the news, the field of mHealth must advocate for user-centered privacy and informed consent practices that motivate patients' and research participants' trust. We review the challenges and relevance of informed consent and discuss opportunities for creating new standards for user-centered informed consent processes in the age of mHealth. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 25% |
United Kingdom | 4 | 8% |
Spain | 3 | 6% |
Argentina | 2 | 4% |
Costa Rica | 1 | 2% |
Bolivia, Plurinational State of | 1 | 2% |
Saint Barthélemy | 1 | 2% |
Venezuela, Bolivarian Republic of | 1 | 2% |
Netherlands | 1 | 2% |
Other | 6 | 12% |
Unknown | 18 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 38 | 75% |
Scientists | 7 | 14% |
Practitioners (doctors, other healthcare professionals) | 4 | 8% |
Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 14% |
Student > Master | 5 | 10% |
Student > Doctoral Student | 4 | 8% |
Student > Bachelor | 3 | 6% |
Researcher | 3 | 6% |
Other | 10 | 20% |
Unknown | 18 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 12% |
Nursing and Health Professions | 5 | 10% |
Medicine and Dentistry | 5 | 10% |
Philosophy | 3 | 6% |
Engineering | 3 | 6% |
Other | 7 | 14% |
Unknown | 21 | 42% |