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智能手机和可穿戴传感器数据在心理健康数字自我追踪技术中的感知效用。

The Perceived Utility of Smartphone and Wearable Sensor Data in Digital Self-tracking Technologies for Mental Health.

作者信息

Kruzan Kaylee Payne, Ng Ada, Stiles-Shields Colleen, Lattie Emily G, Mohr David C, Reddy Madhu

机构信息

Northwestern University, Illinois, USA.

University of Illinois at Chicago, Illinois, USA.

出版信息

Proc SIGCHI Conf Hum Factor Comput Syst. 2023 Apr;2023. doi: 10.1145/3544548.3581209. Epub 2023 Apr 19.

Abstract

Mental health symptoms are commonly discovered in primary care. Yet, these settings are not set up to provide psychological treatment. Digital interventions can play a crucial role in stepped care management of patients' symptoms where patients are offered a low intensity intervention, and treatment evolves to incorporate providers if needed. Though digital interventions often use smartphone and wearable sensor data, little is known about patients' desires to use these data to manage mental health symptoms. In 10 interviews with patients with symptoms of depression and anxiety, we explored their: symptom self-management, current and desired use of sensor data, and comfort sharing such data with providers. Findings support the use digital interventions to manage mental health, yet they also highlight a misalignment in patient needs and current efforts to use sensors. We outline considerations for future research, including extending design thinking to wraparound services that may be necessary to truly reduce healthcare burden.

摘要

心理健康症状在初级保健中很常见。然而,这些机构并非为提供心理治疗而设立。数字干预在患者症状的分级护理管理中可以发挥关键作用,即首先为患者提供低强度干预,如有需要再引入医疗服务提供者进行治疗。尽管数字干预通常会使用智能手机和可穿戴传感器数据,但对于患者利用这些数据来管理心理健康症状的意愿却知之甚少。在对10名有抑郁和焦虑症状的患者进行的访谈中,我们探讨了他们的症状自我管理、传感器数据的当前使用情况和期望使用情况,以及与医疗服务提供者分享此类数据时的舒适度。研究结果支持使用数字干预来管理心理健康,但也凸显了患者需求与当前利用传感器的努力之间的脱节。我们概述了未来研究的注意事项,包括将设计思维扩展到可能真正减轻医疗负担所需的全方位服务。

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