This paper is in the following e-collection/theme issue:

NIH funded proposals with peer-review reports (USA) (112) Health Services Research (557) Health Services in Resource-Poor Settings and LMICs (542) Substance and Alcohol Abuse in Adolescence (134) Alcohol Abuse, Alcoholism Prevention and Recovery (340)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46486, first published .
Assessing the Feasibility of Economic Approaches to Prevent Substance Abuse Among Adolescents: Protocol for a Mixed Methods Study

Assessing the Feasibility of Economic Approaches to Prevent Substance Abuse Among Adolescents: Protocol for a Mixed Methods Study

Assessing the Feasibility of Economic Approaches to Prevent Substance Abuse Among Adolescents: Protocol for a Mixed Methods Study

Authors of this article:

Rachel Brathwaite1 Author Orcid Image ;   Massy Mutumba2 Author Orcid Image ;   Jacqueline Nanteza3 Author Orcid Image ;   Lindsey M Filiatreau4 Author Orcid Image ;   Herbert Migadde3 Author Orcid Image ;   Phionah Namatovu3 Author Orcid Image ;   Betina Nabisere3 Author Orcid Image ;   James Mugisha5 Author Orcid Image ;   Abel Mwebembezi6 Author Orcid Image ;   Fred M Ssewamala1 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

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  2. Mutumba M, Brathwaite R, Nannono S, Namatovu P, Kabarambi A, Filiatreau L, Ssewamala F. Psychometric Validation of the East Africa Alcohol Expectancy Scale (AFEXS) for Youth Living with HIV in Southwestern Uganda. AIDS and Behavior 2025;29(3):781 View
  3. Brathwaite R, Mutumba M, Nannono S, Namatovu P, Ssewamala F. Exploring Alcohol Use Expectancies as Mediators in the Relationship Between Psychological Stressors and Substance Use Among Youths Living with HIV in Uganda. AIDS and Behavior 2025;29(8):2441 View
  4. Najjuuko C, Brathwaite R, Mutumba M, Childress S, Nannono S, Namatovu P, Lu C, Ssewamala F. Identifying Predictors of Problematic Substance Use Among Youth Living with HIV in Uganda: A Machine Learning Approach. AIDS and Behavior 2025;29(12):4051 View