Byanjankar Prabin, Poudyal Anubhuti, Kohrt Brandon A, Maharjan Sujen Man, Hagaman Ashley, van Heerden Alastair
Transcultural Psychosocial Organization (TPO) Nepal, Kathmandu, 44600, Nepal.
Division of Global Mental Health, Department of Psychiatry and Behavioral Sciences, George Washington School of Medicine and Health Sciences, Washington, DC, 20036, USA.
Gates Open Res. 2021 Mar 2;4:118. doi: 10.12688/gatesopenres.13117.2. eCollection 2020.
With the growing ubiquity of smartphones and wearable devices, there is an increased potential of collecting passive sensing data in mobile health. Passive data such as physical activity, Global Positioning System (GPS), interpersonal proximity, and audio recordings can provide valuable insight into the lives of individuals. In mental health, these insights can illuminate behavioral patterns, creating exciting opportunities for mental health service providers and their clients to support pattern recognition and problem identification outside of formal sessions. In the Sensing Technologies for Maternal Depression Treatment in Low Resource Settings (StandStrong) project, our aim was to build an mHealth application to facilitate the delivery of psychological treatments by lay counselors caring for adolescent mothers with depression in Nepal. This paper describes the development of the StandStrong platform comprising the StandStrong Counselor application, and a cloud-based processing system, which can incorporate any tool that generates passive sensing data. We developed the StandStrong Counselor application that visualized passively collected GPS, proximity, and activity data. In the app, GPS data displays as heat maps, proximity data as charts showing the mother and child together or apart, and mothers' activities as activity charts. Lay counselors can use the StandStrong application during counseling sessions to discuss mothers' behavioral patterns and clinical progress over the course of a five-week counseling intervention. Achievement Awards based on collected data can also be automatically generated and sent to mothers. Additionally, messages can be sent from counselors to mother's personal phones through the StandStrong platform. The StandStrong platform has the potential to improve the quality and effectiveness of psychological services delivered by non-specialists in diverse global settings.
随着智能手机和可穿戴设备的日益普及，在移动健康领域收集被动传感数据的可能性也在增加。诸如身体活动、全球定位系统（GPS）、人际距离和音频记录等被动数据能够为了解个人生活提供有价值的见解。在心理健康方面，这些见解可以揭示行为模式，为心理健康服务提供者及其客户创造令人兴奋的机会，以支持在正式治疗之外进行模式识别和问题识别。在“低资源环境下孕产妇抑郁症治疗的传感技术（坚定站立）”项目中，我们的目标是构建一个移动健康应用程序，以促进由非专业顾问为尼泊尔患有抑郁症的青少年母亲提供心理治疗。本文描述了“坚定站立”平台的开发，该平台包括“坚定站立顾问”应用程序和一个基于云的处理系统，该系统可以整合任何生成被动传感数据的工具。我们开发了“坚定站立顾问”应用程序，用于可视化被动收集的GPS、距离和活动数据。在该应用程序中，GPS数据以热力图形式显示，距离数据以图表形式显示母亲和孩子在一起或分开的情况，母亲的活动则以活动图表形式显示。非专业顾问可以在咨询过程中使用“坚定站立”应用程序，讨论母亲在为期五周的咨询干预过程中的行为模式和临床进展。还可以根据收集的数据自动生成成就奖并发送给母亲。此外，顾问可以通过“坚定站立”平台向母亲的个人手机发送信息。“坚定站立”平台有潜力提高全球不同地区非专业人员提供的心理服务的质量和效果。
