SMART-r: Substance Monitoring and Active Relapse Tracking Repository

Description:

This project aims to establish a comprehensive data repository for conducting secondary research, including the analysis of digital phenotype data from individuals who have historically used drugs, including alcohol. Our hypothesis is that digital phenotyping can reveal unique behavioral patterns and risk factors associated with substance use. By collecting data such as smartphone app usage, social media interactions, language data, phone sensor measurements, historical conversational AI data, and wearable device metrics, the TTRU research lab will be able to conduct secondary analyses and uncover insights that could inform prevention and intervention strategies with individuals who use substances.

Objectives

Primary Objective:

The primary objective is to establish the NIDA-IRP Technology and Translational Research Unit (TTRU) Substance Monitoring and Active Relapse Tracking Repository (SMART-r) for collection, storage, and analysis of the human data from individuals who use substances. The secure, high-quality resource of digital, sensor, social media, conversational AI data, self-report, and clinical data (Repository Materials) will be created. Core variables of interest include sensor data, language, and relevant self-report measures. The intention to collect digital phenotyping data is to aid in the efficiency and efficacy of secondary research investigating health outcomes for individuals who use substances by creating a repository of de-identified data.

• INCLUSION CRITERIA:

In order to be eligible to participate in the repository, an individual must meet all of the following criteria:

• Must understand and be willing to complete an online informed consent process.
• Be an adult aged 18 or older.
• Self-report alcohol or other drug use within the past 30 days.
• Have a smartphone as their primary mobile phone.

--For the AWARE app data monitoring procedure, there may be times during this study period where, due to technical or OS limitations, the app is only available to users of certain devices (e.g., Android, iOS). If there is such a limitation, this information will be evaluated during screening. For example, if the AWARE app is not available for iOS, then the screening form may exclude iPhone users for that time period where the limitation exists, if the only procedures offered are daily diary surveys and AWARE data monitoring.

• Be willing to adhere to the procedures, such as downloading the AWARE app onto their smartphone and keeping it active throughout the data collection period, completing baseline questionnaires, daily diary EMAs, open-ended survey questions with the TTR Chatbot, uploading historical conversational AI data, and/or follow-up surveys.
• Understand and write in English.

--This exclusion criterion is included because future research on the data collected will include linguistic analysis. all linguistic analyses, we remove rare words (e.g., words must be said by at least 95% of participants)95. Additionally, there are cultural differences across languages and, thus, interpreting language results across more than one language becomes difficult.96 As a result, we must keep analysis limited to a single language (English), since words in other languages will not meet that criteria.

• Live in the United States.

Exclusion criteria

An individual who meets any of the following criteria will be excluded from participation in this repository:

• Any impairment severe enough to preclude informed consent or valid self-report.