TY  - JOUR
AU  - Filiatreau, Lindsey M
AU  - Szlyk, Hannah
AU  - Ramsey, Alex T
AU  - Kasson, Erin
AU  - Li, Xiao
AU  - Zhang, Zhuoran
AU  - Cavazos-Rehg, Patricia
PY  - 2025
DA  - 2025/4/10
TI  - 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
JO  - JMIR Mhealth Uhealth
SP  - e54753
VL  - 13
KW  - substance misuse
KW  - substance use recovery
KW  - opioid use disorder
KW  - stimulant use disorder
KW  - uptake
KW  - engagement
KW  - mHealth
KW  - digital health intervention
KW  - sociodemographic
KW  - mobile app
KW  - stimulant use
KW  - observational study
KW  - mobile health
KW  - smartphone
KW  - St. Louis
KW  - eCoach messaging
KW  - Wilcoxon rank-sum tests
KW  - Pearson chi-square
KW  - recovery
KW  - app
AB  - Background: Mobile health apps can serve as a critical tool in supporting the overall health of uninsured and underinsured individuals and groups who have been historically marginalized by the medical community and may be hesitant to seek health care. However, data on uptake and engagement with specific app features (eg, in-app messaging) are often lacking, limiting our ability to understand nuanced patterns of app use. Objective: This study aims to characterize sociodemographic differences in uptake and engagement with a smartphone app (uMAT-R) to support recovery efforts in a sample of individuals with opioid and stimulant use disorders in the Greater St. Louis area. Methods: We enrolled individuals into the uMAT-R service program from facilities providing recovery support in the Greater St. Louis area between January 2020 and April 2022. Study participants were recruited from service project enrollees. We describe the number of logins and electronic health coach (eCoach) messages participants sent in the first 30 days following enrollment using medians and IQRs and counts and proportions of those who ever (vs never) logged in and sent their eCoach a message. We compare estimates across sociodemographic subgroups, by insurance status, and for those who did and did not participate in the research component of the project using Wilcoxon rank-sum tests and Pearson chi-square tests. Results: Of all 695 participants, 446 (64.2%) logged into uMAT-R at least once during the 30 days following enrollment (median 2, IQR 0-8 logins). Approximately half of those who logged in (227/446) used the eCoach messaging feature (median 1, IQR 0-3 messages). Research participants (n=498), who could receive incentives for app engagement, were more likely to log in and use the eCoach messaging feature compared to others (n=197). Younger individuals, those with higher educational attainment, and White, non-Hispanic individuals were more likely to log in at least once compared to their counterparts. The median number of logins was higher among women, and those who were younger, employed, and not on Medicaid compared to their counterparts. Among those who logged in at least once, younger individuals and those with lower educational attainment were more likely to send at least one eCoach message compared to others. Conclusions: Mobile apps are a viable tool for supporting individuals in recovery from opioid and stimulant use disorders. However, older individuals, racial and ethnic minorities, and those with lower educational attainment may need additional login support, or benefit from alternative mechanisms of recovery support. In addition, apps may need to be tailored to achieve sustained engagement (ie, repeat logins) among men, and individuals who are older, unemployed, or on Medicaid. Older individuals and those with higher educational attainment who may be less likely to use eCoach messaging features could benefit from features tailored to their preferences. 
SN  - 2291-5222
UR  - https://mhealth.jmir.org/2025/1/e54753
UR  - https://doi.org/10.2196/54753
DO  - 10.2196/54753
ID  - info:doi/10.2196/54753
ER  -