Prospective Real World Study on Therapy Prediction Algorithm Training Using Data From the Mobio Mental Health Platform AmDTx
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 67
- 试验地点
- 1
- 主要终点
- Objective Stress Level (OSL)
研究概览
简要总结
This study examines the impact of using an algorithm to select therapy content for patients engaged with the mobile mental health platform AmDTx (Mobio Interactive). The algorithm is to be trained with three separate sources of data. Two sources of data come from self-reports by the patients themselves, provided before and after engaging with therapy content. The third source of data comes from an objective measurement of psychological stress, made possible through artificial analysis of computer vision data captured from the mobile device camera as the patient completes a 30 second selfie video before and after engaging with therapy content.
详细描述
From 2,786 unique individuals engaging between March 2015 and December 2022 in English language psychotherapy sessions and providing pre- and post-session self-report and facial biometric data via the AmDTx mental health platform (Mobio Interactive Pte Ltd, Singapore), analysis was conducted on 67 "super users" that completed at least 28 sessions with all pre- and post-session measures. AmDTx is a clinically validated mental health platform that provides patients with audio recordings supporting mental wellbeing (asynchronous and on-demand psychotherapy). AmDTx also contains easy to use tools that rapidly assess mental wellbeing, including an objective measure of psychological stress derived from AI analysis of facial biomarkers (Objective Stress Level; ∆OSL), and ecological momentary assessments (EMAs). Two commonly used EMAs within AmDTx are self-reported stress (∆SRS) and self-reported mood (∆SRM). These three data sources were used to independently train an algorithm designed to predict what future therapy sessions would prove most efficacious for each individual. Algorithm predictions were compared against the efficacy of the individual's self-selected sessions.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 66 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Completion of at least 28 English-language psychotherapy sessions that contained the required session payloads for algorithm inclusion, and only when the objective and two subjective measures were all completed both before and after each session.
排除标准
- •Under 18 years old
结局指标
主要结局
Objective Stress Level (OSL)
时间窗: Continuous
Objective stress level (∆OSL). Objective stress within AmDTx was obtained via a 30-second "selfie" video captured with the front-facing camera of a mobile device (smartphone or table). The computer vision data extracted from the videos in real time through study completion, an average of 27.1 measures per person per year, were then passed through a deep neural network (DNN) to compute the objective stress level (∆OSL) at that moment in time. ∆OSL is represented with a value between 0 to 1, with greater values representing more stress.
Self-Reported Stress (SRS)
时间窗: Continuous
Subjective, self-reported stress (∆SRS). Subjective stress within AmDTx was quantified via an animated digital "slider". Users reported their current level of stress either by dragging a marker on the slider to a position of their choosing between "none" (0) and "extreme" (10), or by tapping on one of four faces positioned above the slider, with each face visually depicting stress levels at the mid-points of four quadrants (i.e., values of 1.25, 3.75, 6.25, 8.75). Users were instructed input the stress that represents how they feel "right here, right now". Data collected in real time through study completion, an average of 27.1 measures per person per year.
Self-Reported Mood (SRM)
时间窗: Continuous
Subjective, self-reported mood (∆SRM). Subjective mood within AmDTx was quantified via a "mood board", which asks users to select from 32 different words representing various emotions (e.g., "delighted", "content", "gloomy", "tense"). The mood board consists of two axes, one spanning from "unpleasant" to "pleasant" and the other from "mild" to "intense". Each quadrant contains 8 mood words. Users were instructed to tap on the words that represent how they feel "right here, right now". Data collected in real time through study completion, an average of 27.1 measures per person per year.
次要结局
未报告次要终点