ORCID Profile
0000-0002-1003-0399
Current Organisation
University of California, Irvine
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Publisher: Elsevier BV
Date: 09-2015
Publisher: American Psychiatric Association Publishing
Date: 06-2021
Publisher: JMIR Publications Inc.
Date: 23-10-2018
Abstract: he growing field of personal sensing harnesses sensor data collected from in iduals’ smartphones to understand their behaviors and experiences. Such data could be a powerful tool within mental health care. However, it is important to note that the nature of these data differs from the information usually available to, or discussed with, health care professionals. To design digital mental health tools that are acceptable to users, understanding how personal sensing data can be used and shared is critical. his study aimed to investigate in iduals’ perspectives about sharing different types of sensor data beyond the research context, specifically with doctors, electronic health record (EHR) systems, and family members. questionnaire assessed participants’ comfort with sharing six types of sensed data: physical activity, mood, sleep, communication logs, location, and social activity. Participants were asked about their comfort with sharing these data with three different recipients: doctors, EHR systems, and family members. A series of principal component analyses (one for each data recipient) was performed to identify clusters of sensor data types according to participants’ comfort with sharing them. Relationships between recipients and sensor clusters were then explored using generalized estimating equation logistic regression models. total of 211 participants completed the questionnaire. The majority were female (171/211, 81.0%), and the mean age was 38 years (SD 10.32). Principal component analyses consistently identified two clusters of sensed data across the three data recipients: “health information,” including sleep, mood, and physical activity, and “personal data,” including communication logs, location, and social activity. Overall, participants were significantly more comfortable sharing any type of sensed data with their doctor than with the EHR system or family members (P .001) and more comfortable sharing “health information” than “personal data” (P .001). Participant characteristics such as age or presence of depression or anxiety did not influence participants’ comfort with sharing sensed data. he comfort level in sharing sensed data was dependent on both data type and recipient, but not in idual characteristics. Given the identified differences in comfort with sensed data sharing, contextual factors of data type and recipient appear to be critically important as we design systems that harness sensor data for mental health treatment and support.
Publisher: Elsevier BV
Date: 09-2020
Publisher: JMIR Publications Inc.
Date: 05-04-2019
DOI: 10.2196/12578
Location: United States of America
Location: United States of America
No related grants have been discovered for Stephen Schueller.