2019
DOI: 10.1145/3359217
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Provider Perspectives on Integrating Sensor-Captured Patient-Generated Data in Mental Health Care

Abstract: The increasing ubiquity of health sensing technology holds promise to enable patients and health care providers to make more informed decisions based on continuously-captured data. The use of sensor-captured patient-generated data (sPGD) has been gaining greater prominence in the assessment of physical health, but we have little understanding of the role that sPGD can play in mental health. To better understand the use of sPGD in mental health, we interviewed care providers in an intensive treatment program (I… Show more

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Cited by 32 publications
(24 citation statements)
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References 102 publications
(63 reference statements)
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“…Moreover, it is particularly important to consider the collaboration among the care network when it comes to health data and sticking to existing workflows. As Ng et al [29] recently stressed, health care providers are concerned about how to adjust their practices, to better guide the use of sensor data within mental telehealth. By keeping all the care network updated with mental health information, a telehealth system can enable the care network to collaboratively interpret the collected exercise movement and mental health data, avoiding misinterpretation, but also allowing for shared decision making when it comes to adjusting how sensor data is used.…”
Section: Capturing Experientialmentioning
confidence: 99%
“…Moreover, it is particularly important to consider the collaboration among the care network when it comes to health data and sticking to existing workflows. As Ng et al [29] recently stressed, health care providers are concerned about how to adjust their practices, to better guide the use of sensor data within mental telehealth. By keeping all the care network updated with mental health information, a telehealth system can enable the care network to collaboratively interpret the collected exercise movement and mental health data, avoiding misinterpretation, but also allowing for shared decision making when it comes to adjusting how sensor data is used.…”
Section: Capturing Experientialmentioning
confidence: 99%
“…This could provide insight into factors such as speech, social media use, and activity levels, which could be considered alongside self-report questionnaires and assessment tools to facilitate more accurate assessment of service users’ mental health difficulties [ 35 ]. In assessing service user needs, it was also felt that these data could clarify discrepancies between self-report, observation, and psychometrics and validate service users’ concerns [ 33 ]. It has been suggested that passive sensing data and AI could entirely replace some methods of assessment, such as questionnaires, to improve the clinical experience for both service users and clinicians [ 3 , 38 ].…”
Section: Resultsmentioning
confidence: 99%
“…3 4 5 From the clinicians' perspective, these devices collect patient-generated health data (PGHD) that can guide discussions on healthy behavior, reinforce positive behavioral change, and, potentially, help manage patient care. 6 7 8 The type of data that is automatically tracked can include steps/movement, calories burned, heart rate, and sleep patterns. However, as new versions of wearable devices emerge, additional potential innovations could accelerate the adoption of these devices for mainstream health care.…”
Section: Background and Significancementioning
confidence: 99%