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| ID | Type | Description | Link |
|---|---|---|---|
| UM1AI068619 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute of Allergy and Infectious Diseases (NIAID) | NIH |
| Gilead Sciences | INDUSTRY |
| ViiV Healthcare | INDUSTRY |
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Individual-Level Randomized Controlled Trial of an Integrated Strategy of HIV pre-exposure prophylaxis (PrEP) and sexually transmitted infection (STI) post-exposure prophylaxis (PEP) for Young Men
This study will test a suite of mHealth tools to increase HIV pre-exposure prophylaxis (PrEP) uptake and adherence among young men in communities most affected by the HIV epidemic and evaluate the uptake, adherence, and acceptability of doxycycline for sexually transmitted infection (STI) post-exposure prophylaxis (doxy-PEP).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 3P mHealth package | Experimental | HIV PrEP, doxy-PEP, 3P mHealth package (3P: MyPrEP + PrEPmate + PrEPsmart tools) to assist with PrEP uptake and adherence decision making, standard-of-care PrEP adherence counseling from qualified study staff, handout about the different PrEP options available at the site |
|
| Standard-of-care services | Active Comparator | HIV PrEP, doxy-PEP, standard-of-care PrEP adherence counseling from qualified study staff, handout about the different PrEP options available at the site |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| HIV PrEP - choice of F/TDF, F/TAF, or CAB-LA | Drug | Choice of F/TDF, F/TAF, or CAB-LA for HIV prevention |
|
| Measure | Description | Time Frame |
|---|---|---|
| To determine the efficacy of the 3P mHealth package on PrEP uptake among participants | PrEP uptake is defined as the proportion of enrolled participants who elect to initiate PrEP (with a documented PrEP dispensation by the site) at any time during the 52 weeks of follow-up. Participants who did not initiate PrEP before loss to follow-up will be classified as non-initiators. PrEP uptake will be assessed at Week 52 for each study arm with 95% confidence limits computed using the binomial distribution. A logistic regression model will be used to compare PrEP uptake between the study arms. | 52 weeks |
| To determine the efficacy of the 3P mHealth package on PrEP adherence among participants | PrEP adherence is assessed at Weeks 20, 36 and 52 through biomedical testing for oral PrEP regimens and documentation of CAB-LA injection for CAB-LA. Adherence measures are described in Section 8.7. Participants on oral PrEP missing an assessment visit and with no PrEP dispensed at their most recent visit will be considered non-adherent. Also, participants who have not yet initiated PrEP at a visit will be considered non-adherent at that visit. The average PrEP adherence at a visit will be computed as the proportion of participants who are determined to be adherent at that visit by study arm. The associated 95% confidence limits will be computed using the binomial distribution. Generalized estimating equations (GEE) with a logit link function will be used to examine differences in adherence proportions between the 3P and Control arms at Weeks 20, 36 and 52, while accounting for potential correlation between PrEP adherence measures over time for each participant. | Weeks 20, 36, and 52 |
| To assess doxycycline PEP uptake and associated factors | doxy-PEP uptake is defined as the proportion of participants dispensed doxy-PEP during the 52 weeks of study follow-up period. doxy-PEP uptake will be computed with 95% confidence limits at Week 52. Multivariable logistic regression models will be used to assess association between doxy-PEP uptake and factors including study group, demographic and behavioral characteristics. | Week 52 |
| Measure | Description | Time Frame |
|---|---|---|
| To determine the acceptability and use of the 3P mHealth package in the intervention arm by site | Descriptive statistics will be used to summarize the acceptability and use of the 3P mHealth package in the intervention arm by site. | Week 52 |
| To compare the frequency, directionality, and reasons for PrEP regimen choice and switching, between arms |
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Inclusion Criteria:
Men ages 18 - 29 years
Men who are in communities most affected by the HIV epidemic
Willing and able to provide informed consent
Reports having anal sex with men in the last 6 months
Have certain risk factors for HIV acquisition, defined as any of the following in the past 6 months:
Not on PrEP within the past 3 months due to participant choice
Interested in learning more about PrEP or starting PrEP
No evidence of HIV infection at Screening and Enrollment, based on the HIV testing algorithm
Owns an iOS or Android mobile phone and able to successfully download mobile apps and send and receive text messages
Must not share the mobile phone used for their participation in the study
Able to read and write
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Kailazarid Gomez-Feliciano, MPM | Contact | 919-321-3486 | kgomez@fhi360.org | |
| Michelle Robinson | Contact | 919-321-3585 | mrobinson@fhi360.org |
| Name | Affiliation | Role |
|---|---|---|
| Susan Buchbinder, MD | San Francisco Department of Public Health and University of California San Francisco | Study Chair |
| Jorge Gallardo-Cartagena, MD | Centro de Investigaciones Tecnológicas Biomédicas y Medioambientales |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UCLA Vine Street Clinic | Los Angeles | California | 90095 | United States |
For studies within two years of primary objective(s) publication, de-identified individual participant data that underlie results in a publication, will be provided upon request. For studies more than two years from the primary objective(s) publication, de-identified datasets will be available upon request (Public Use Datasets).
Investigators may request de-identified datasets in order to duplicate published results, as required by specific journals. Otherwise, de-identified datasets will be made available upon request, two years following publication of the primary results manuscript.
Researchers may submit a request for access to data that has informed published results, by sending an email to HPTN-Data-Access@scharp.org. To access available de-identified datasets, investigators must complete the request form on the Atlas website. Researchers of approved requests will need to sign an HIV Prevention Trials Network (HPTN) Data Use Agreement before receiving the data and agree to use the provided acknowledgement statement.
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_ICF | Yes | No | Yes | Study Protocol and Informed Consent Form | May 30, 2025 |
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All participants will be offered HIV PrEP and doxy-PEP. Participants will be randomized 1:1 to receive either the 3P mHealth package (3P: MyPrEP
+ PrEPmate + PrEPsmart tools) or standard-of-care services arm.
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| STI PEP - Doxycycline as Doxy-PEP | Drug | Doxycycline as doxy-PEP for STI prevention |
|
| 3P mHealth package | Behavioral | Suite of mHealth tools (MyPrEP, PrEPmate, PrEPsmart) to assist with HIV PrEP uptake and adherence decision making |
|
| Handout about HIV PrEP options available at the site | Behavioral | Handout about HIV PrEP options available at the site |
|
| Standard-of-care HIV PrEP counseling from qualified study staff | Behavioral | Standard-of-care HIV PrEP counseling from qualified study staff |
|
| To assess doxycycline PEP use and associated factors |
doxy-PEP use will be assessed at Weeks 20, 36 and 52. Doxy-PEP use at an assessment visit will be computed as the proportion of participants reporting use following sex acts, reported at that visit. The corresponding 95% confidence limits will be computed based on the binomial distribution. Multivariable GEE models will be used to investigate possible associations between doxy-PEP use and factors including study group, demographic and behavioral characteristics. |
| Weeks 20, 36, and 52 |
| To assess doxycycline PEP acceptability and associated factors | Descriptive statistics will be used to summarize doxy-PEP acceptability. Multivariable generalized linear models (with a link function that is appropriate to the scale of the measure for doxy-PEP acceptability) will be used to investigate associations between doxy-PEP acceptability and factors including study group, sociodemographic, and behavioral characteristics. | Week 52 |
| To assess the incidence of HIV infections among participants choosing to use CAB-LA | Uptake of CAB-LA is defined as the proportion of participants choosing to initiate CAB-LA with a documented receipt of a CAB-LA injection during the study follow-up period. CAB-LA uptake will be computed with 95% confidence interval. Incidence of HIV infection between the date of CAB-LA initiation and the date of switch to oral PrEP (for participants switching from CAB-LA to oral PrEP) or end of follow-up (for participants staying on CAB-LA from initiation through the end of the follow-up period) will be computed with 95% confidence interval among participants choosing to use CAB-LA. | Week 52 |
Descriptive statistics will be used to summarize the frequency, directionality, and reasons for PrEP regimen choice and switching by arm. Generalized linear models will be used to assess differences in these descriptive summaries between the study arms. Reasons for PrEP regimen choice and switching obtained from qualitative interview data will be listed by arm. |
| Week 52 |
| To evaluate demographic, behavioral, and attitudinal factors associated with choice of PrEP regimen | Multivariable logistic regression models will be used to separately assess associations between each PrEP regimen choice and demographic, behavioral, and attitudinal factors. | Week 52 |
| To determine the efficacy of the 3P mHealth package on prevention-effective adherence |
| Weeks 20, 36, and 52 |
| Thiago Torres, MD | Instituto Nacional de Infectología Evandro Chagas | Study Chair |
| Bronx Prevention Research Center CRS | The Bronx | New York | 10451 | United States |
|
| Fundacion Huesped CRS | Buenos Aires | C1427CEA | Argentina |
|
| Instituto de Pesquisa Clinicaq Evandro Chagas CRS | Manguinhos | Rio de Janeiro | 221045-900 | Brazil |
| San Miguel CRS | Lima | 32-15088 | Peru |
|
| Dec 16, 2025 |
| Prot_ICF_000.pdf |
| ID | Term |
|---|---|
| D015658 | HIV Infections |
| D012749 | Sexually Transmitted Diseases |
| D000163 | Acquired Immunodeficiency Syndrome |
| D006509 | Hepatitis B |
| ID | Term |
|---|---|
| D000086982 | Blood-Borne Infections |
| D003141 | Communicable Diseases |
| D007239 | Infections |
| D015229 | Sexually Transmitted Diseases, Viral |
| D016180 | Lentivirus Infections |
| D012192 | Retroviridae Infections |
| D012327 | RNA Virus Infections |
| D014777 | Virus Diseases |
| D000091662 | Genital Diseases |
| D000091642 | Urogenital Diseases |
| D007153 | Immunologic Deficiency Syndromes |
| D007154 | Immune System Diseases |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D012897 | Slow Virus Diseases |
| D018347 | Hepadnaviridae Infections |
| D004266 | DNA Virus Infections |
| D006525 | Hepatitis, Viral, Human |
| D006505 | Hepatitis |
| D008107 | Liver Diseases |
| D004066 | Digestive System Diseases |
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