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Digital Integrated Interventions for Comorbid Depression and Substance Use Disorder: Narrative Review and Content Analysis

Digital Integrated Interventions for Comorbid Depression and Substance Use Disorder: Narrative Review and Content Analysis

In June 2024, the first author (GJ) conducted a literature search in Google Scholar for digital, integrated interventions for MDD and SUD. Eligible articles included one of the terms in Table 1 in the title, abstract, keywords, or article text. The reviewer also screened the reference list of all eligible articles, plus a search of all articles that had cited the included papers. Inclusion criteria keywords for digital major depressive and substance use disorders intervention studies.

Geneva K Jonathan, Qiuzuo Guo, Heyli Arcese, A Eden Evins, Sabine Wilhelm

JMIR Ment Health 2025;12:e67670

Assessing a Digital Tool to Screen and Educate Survivors of Domestic Violence on Affordable Housing Programs in New York City: Protocol for a Mixed Methods Feasibility Study

Assessing a Digital Tool to Screen and Educate Survivors of Domestic Violence on Affordable Housing Programs in New York City: Protocol for a Mixed Methods Feasibility Study

After SC+ arm recruitment ends, we plan to recruit, conduct, and complete the key informant interviews in June 2024. We subsequently expect to complete the study and be ready to analyze the results by the end of June 2024. Among the results, we anticipate that SC+ will show a positive change relative to SC on at least one of the primary outcomes: survivors’ housing knowledge, housing self-efficacy, or staff trust.

Jennifer K Tan, Michelle R Kaufman

JMIR Res Protoc 2025;14:e63162

Readdressing the Ongoing Challenge of Missing Data in Youth Ecological Momentary Assessment Studies: Meta-Analysis Update

Readdressing the Ongoing Challenge of Missing Data in Youth Ecological Momentary Assessment Studies: Meta-Analysis Update

Similarly, standardized residuals larger than the 100×(1−0.05/(2×k))th percentile of a standard normal distribution indicated outliers [63]. Expecting widespread missingness across reported variables, we conducted separate meta-regressions with single predictors.

Konstantin Drexl, Vanisha Ralisa, Joëlle Rosselet-Amoussou, Cheng K Wen, Sébastien Urben, Kerstin Jessica Plessen, Jennifer Glaus

J Med Internet Res 2025;27:e65710