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| ID | Type | Description | Link |
|---|---|---|---|
| DP2DA049296-01 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institutes of Health (NIH) | NIH |
| National Institute on Drug Abuse (NIDA) | NIH |
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This project seeks to develop and test the acceptability, appropriateness and feasibility of uTECH, a novel social media "big data" machine learning intervention for HIV-negative substance-using sexual and gender minority people who have sex with men that aims to reduce HIV transmission risk by integrating biomedical and behavioral risk reduction strategies, including pre-exposure prophylaxis (PrEP) for HIV prevention and medication assisted treatment (MAT) for substance use harm reduction
The project will occur in two phases. In Phase 1, we will conduct qualitative interviews with gay and bisexual men who have sex with men (GBMSM) using an iterative user-centered design process, which will result in a refined version of the uTECH intervention. In Phase 2, we will conduct a comparative acceptability, appropriateness and feasibility trial with 330 individuals, who will be randomized to (1) receive the uTECH intervention and an existing, evidence-based motivational enhancement intervention for HIV risk and substance use prevention (YMHP) or (2) receive YMHP alone. uTECH is innovative in that it includes both core intervention modules and highly personalized intervention content based on participants' social media use. The tailored intervention content can be delivered via text message or Facebook messenger. This content relies on our previously developed machine learning algorithm, which helps participants understand their technology-use behavior in relation to HIV-risk and substance use.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| uTECH + Young Men's Health Project (YMHP) | Active Comparator | Approximately 165 participants will be randomly assigned to this arm and will receive the uTECH intervention over the course of 12 months and YMHP intervention over the course of 3 months. |
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| Young Men's Health Project (YMHP) | Active Comparator | Approximately 165 participants will be randomly assigned to this arm and will receive the YMHP intervention over the course of the first 3 months. Months 3-12 will be inactive, and they will be followed for a total of 12 months. |
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| uTECH | Active Comparator | Approximately 60 participants will be randomly assigned to this arm and will receive the uTECH intervention over the course of 12 months. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| uTECH + YMHP | Behavioral | uTECH intervention utilizes a machine learning algorithm that leverages baseline data, individual social media use patterns, and strategic opportunistic learning questions to "push" messages to participants that offer strategic content about biomedical and behavioral HIV prevention. In addition, participants in this arm will also receive the YMHP intervention, which provides a four-session, evidence-based Motivational Enhancement intervention developed as part of the Young Men's Health Project (YMHP) and delivered via Zoom. Participants complete the four-session intervention during the first three months of their enrollment in the study. |
| Measure | Description | Time Frame |
|---|---|---|
| Perception of Intervention Acceptability [4-item scale, 5-point ordinal response] | Drawing from work of Weiner et al (2017), we will rely on a psychometrically validated implementation science measure called "Acceptability of Intervention Measure (AIM)" that will measure the perception among implementation stakeholders that a given treatment, service, practice, or innovation is agreeable, palatable, or satisfactory. This measure is a 5-item scale with 5-point ordinal response that ranges from "completely disagree" to "completely agree." | 12 months |
| Perception of Intervention Appropriateness [4-item scale, 5-point ordinal response] | Drawing from work of Weiner et al (2017), we will rely on a psychometrically validated implementation science measure called "Intervention Appropriateness Measure (IAM)" that will measure the perceived fit, relevance, or compatibility of the innovation for a given consumer. This measure is a 4-item scale with 5-point ordinal response that ranges from "completely disagree" to "completely agree." | 12 months |
| Perception of Intervention Feasibility [4-item scale, 5-point ordinal response] | Drawing from work of Weiner et al (2017), we will rely on a psychometrically validated implementation science measure called "Feasibility of Intervention Measure (FIM)" that will measure the extent to which the intervention or innovation can be successfully used or carried out within this setting. This measure is a 4-item scale with 5-point ordinal response that ranges from "completely disagree" to "completely agree." | 12 months |
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Inclusion Criteria:
Exclusion Criteria:
Sexual and/or gender minorities who have sex with men
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UCLA | Los Angeles | California | 90095 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41519977 | Derived | Boka C, Yonko EA, Beikzadeh M, Karkkainen K, Hong C, Sarrafzadeh M, Holloway IW. Utilizing Machine Learning for Predicting PrEP Use Status Among Sexual and Gender Minority Young Adults. Prev Sci. 2026 Jan 10. doi: 10.1007/s11121-025-01872-1. Online ahead of print. | |
| 39163591 | Derived | Holloway IW, Wu ESC, Boka C, Young N, Hong C, Fuentes K, Karkkainen K, Beikzadeh M, Avendano A, Jauregui JC, Zhang A, Sevillano L, Fyfe C, Brisbin CD, Beltran RM, Cordero L, Parsons JT, Sarrafzadeh M. Novel Machine Learning HIV Intervention for Sexual and Gender Minority Young People Who Have Sex With Men (uTECH): Protocol for a Randomized Comparison Trial. JMIR Res Protoc. 2024 Aug 20;13:e58448. doi: 10.2196/58448. |
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| Type | Date | Date Unknown |
|---|---|---|
| Release | Oct 8, 2025 | |
| Unrelease | Nov 4, 2025 |
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| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| Oct 8, 2025 | Nov 4, 2025 |
| ID | Term |
|---|---|
| D012749 | Sexually Transmitted Diseases |
| D015658 | HIV Infections |
| D019966 | Substance-Related Disorders |
| D003075 | Coitus |
| ID | Term |
|---|---|
| D003141 | Communicable Diseases |
| D007239 | Infections |
| D000091662 | Genital Diseases |
| D000091642 | Urogenital Diseases |
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| YMHP | Behavioral | YMHP intervention provides a four-session evidence-based Motivational Enhancement intervention developed as part of the Young Men's Health Project (YMHP) and delivered via Zoom. Participants complete the four-session intervention during the first three months of their enrollment in this study. Months 3-12 are inactive. |
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| uTECH | Behavioral | uTECH intervention utilizes a machine learning algorithm that leverages baseline data, individual social media use patterns, and strategic opportunistic learning questions to "push" messages to participants that offer strategic content about biomedical and behavioral HIV prevention. |
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| D020969 |
| Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D000086982 | Blood-Borne Infections |
| D015229 | Sexually Transmitted Diseases, Viral |
| D016180 | Lentivirus Infections |
| D012192 | Retroviridae Infections |
| D012327 | RNA Virus Infections |
| D014777 | Virus Diseases |
| D007153 | Immunologic Deficiency Syndromes |
| D007154 | Immune System Diseases |
| D064419 | Chemically-Induced Disorders |
| D001523 | Mental Disorders |
| D012725 | Sexual Behavior |
| D001519 | Behavior |