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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4432848PMC

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This study aimed to evaluate effects of three machine learning based adjustments made to an eHealth intervention for mild alcohol use disorder, regarding a) early dropout, b) participation duration, and c) success in reaching personal alcohol use goals. Additionally, we aimed to replicate earlier machine learning analyses. We used three cohorts of observational log data from the Jellinek Digital Self-help intervention.

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Background: The maintenance of a healthy lifestyle significantly influences pregnancy outcomes. Certain pregnant women are more at risk of engaging in unhealthy behaviors due to factors such as having a low socioeconomic position and low social capital. eHealth interventions tailored to pregnant women affected by these vulnerability factors can provide support and motivation for healthier choices.

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This study examined treatment utilization across in-person and virtual treatment modalities in veterans who were on medications for opioid use disorder (MOUD; N = 139). Treatment records for veterans in addiction treatment on MOUD were examined for 3-months prior to telehealth conversions ("Pre-Telehealth," 12/02/2019-03/14/2020), 3-months during the initial telehealth transition ("Telehealth," 03/15/2020-06/30/2020) and 3-months during post-telehealth transition ("Re-Entry," 07/01/2020-10/01/2020). Analyses examined the relationship between treatment modality and demographic features, psychiatric comorbidities, treatment engagement, and illness severity as measured by psychiatric emergency room (PER) utilization.

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When and Why Adults Abandon Lifestyle Behavior and Mental Health Mobile Apps: Scoping Review.

J Med Internet Res

December 2024

Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia.

Background: With 1 in 3 adults globally living with chronic conditions and the rise in smartphone ownership, mobile health apps have become a prominent tool for managing lifestyle-related health behaviors and mental health. However, high rates of app abandonment pose challenges to their effectiveness.

Objective: We explored the abandonment of apps used for managing physical activity, diet, alcohol, smoking, and mental health in free-living conditions, examining the duration of app use before abandonment and the underlying reasons.

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Introduction: Since the onset of the COVID-19 pandemic and loosening of some opioid use disorder (OUD) treatment regulations in the U.S. and Canada, there has been a rapid rise in the use of telehealth for buprenorphine induction, maintenance, and counseling (tele-bupe).

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