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Sociodemographic Differences in Logins and Engagement With the Electronic Health Coach Messaging Feature of a Mobile App to Support Opioid and Stimulant Use Recovery: Results From a 1-Month Observational Study

Sociodemographic Differences in Logins and Engagement With the Electronic Health Coach Messaging Feature of a Mobile App to Support Opioid and Stimulant Use Recovery: Results From a 1-Month Observational Study

To be eligible for inclusion in the u MAT-R intervention program, individuals had to: (1) report a history of or current opioid or stimulant misuse; (2) be in treatment at one of the included recruitment facilities; (3) be 18 years or older; (4) be a US resident; (5) be fluent in English; and (6) own or have access to a smartphone with an i OS or Android operating system.

Lindsey M Filiatreau, Hannah Szlyk, Alex T Ramsey, Erin Kasson, Xiao Li, Zhuoran Zhang, Patricia Cavazos-Rehg

JMIR Mhealth Uhealth 2025;13:e54753

Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach

Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach

A transition begins when we observe a series of time bins (groupings of weekly posts and comments) that have the same risk level. The transition is marked when a subsequent time bin displays a different risk level, indicating a change in the Reddit user’s posting and commenting with either a higher-risk (escalating transition) or a lower-risk (de-escalating transition) substance-related subreddit.

Yunhao Yuan, Erin Kasson, Jordan Taylor, Patricia Cavazos-Rehg, Munmun De Choudhury, Talayeh Aledavood

JMIR Form Res 2024;8:e54433

An mHealth Intervention to Address Depression and Improve Antiretroviral Therapy Adherence Among Youths Living With HIV in Uganda: Protocol for a Pilot Randomized Controlled Trial

An mHealth Intervention to Address Depression and Improve Antiretroviral Therapy Adherence Among Youths Living With HIV in Uganda: Protocol for a Pilot Randomized Controlled Trial

As such, there is a need for interventions developed to take into account these numerous treatment barriers and to structure intervention components and delivery methods to fill the gaps in the current system of traditional assessment and treatment access. A mobile health (m Health) intervention is a feasible approach for the delivery of interventions to youths with depression living with HIV in Uganda. Upwards of 85% of countries in SSA have accomplished a high level of mobile phone penetration [46].

Proscovia Nabunya, Patricia Cavazos-Rehg, James Mugisha, Erin Kasson, Olive Imelda Namuyaba, Claire Najjuuko, Edward Nsubuga, Lindsey M Filiatreau, Abel Mwebembezi, Fred M Ssewamala

JMIR Res Protoc 2024;13:e54635

Text Messages Exchanged Between Individuals With Opioid Use Disorder and Their mHealth e-Coaches: Content Analysis Study

Text Messages Exchanged Between Individuals With Opioid Use Disorder and Their mHealth e-Coaches: Content Analysis Study

This study is part of a larger m Health intervention titled “u MAT-R,” a supplemental support tool to improve adherence to OUD treatment and recovery. The parent study used a mobile app to provide educational content and psychological support for people in OUD recovery programs in the Greater St. Louis Area. u MAT-R also contains modules to support recovery efforts including medication and appointment reminders, and community resources.

Yerina S Ranjit, Warren M Davis, Andrea Fentem, Raven Riordan, Rikki Roscoe, Patricia Cavazos-Rehg

JMIR Hum Factors 2023;10:e37351

Topics and Sentiment Surrounding Vaping on Twitter and Reddit During the 2019 e-Cigarette and Vaping Use–Associated Lung Injury Outbreak: Comparative Study

Topics and Sentiment Surrounding Vaping on Twitter and Reddit During the 2019 e-Cigarette and Vaping Use–Associated Lung Injury Outbreak: Comparative Study

Sentiment analysis quantifies the sentiment contents in a given text along a continuum scale, for example, from −1 to 1 [41,53]. We applied Valence Aware Dictionary and s Entiment Reasoner (VADER) as the tool to analyze the sentiment of tweets and Reddit posts, as VADER is a lexicon and rule-based sentiment analysis tool [54] that recent studies [24,55,56] have found to effectively calculate sentiment social media analysis.

Dezhi Wu, Erin Kasson, Avineet Kumar Singh, Yang Ren, Nina Kaiser, Ming Huang, Patricia A Cavazos-Rehg

J Med Internet Res 2022;24(12):e39460