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| ID | Type | Description | Link |
|---|---|---|---|
| 5U24HD089880 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) | NIH |
| National Institute on Drug Abuse (NIDA) | NIH |
| National Institute of Mental Health (NIMH) | NIH |
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Pre-exposure Prophylaxis (PrEP) is a daily pill to prevent HIV that, when taken as prescribed, reduces the risk of getting HIV from sexual intercourse or drug use. In the United States, most studies which examine prescribing PrEP have not included young women. PrEP provides a way for women to take control of their HIV prevention and may be a good option for some women.
Family planning clinics are a trusted source of preventative, routine, and symptom-driven gynecological care for adolescent and young adult women (AYAW). Thus, these clinics are a natural setting to provide PrEP services for AYAW. This study will examine how effectively three clinics in Atlanta are able to implement a PrEP program for their eligible female patients as well as follow a cohort of 300 women for six months (150 starting PrEP immediately and 150 electing to not take PrEP, at least initially) to characterize individual, provider, and clinic-level variables and constructs that are associated with PrEP uptake, continuation, and adherence.
Both participant and biological data will be collected to answer the primary research question. Women will provide blood, urine, oral, vaginal, anal, and hair samples at three different time points. These samples will be tested to measure incident sexually transmitted infections and unplanned pregnancies as well as PrEP adherence (for women who initiated PrEP). Ultimately, this data will describe each clinic's effectiveness at providing PrEP services to AYAW.
Planning4PrEP is a mixed hybrid Type 1 effectiveness implementation study of three family planning clinics in Atlanta integrating PrEP into their services and evaluating the multi-level factors associated with PrEP reach, level of adoption, and implementation (e.g., PrEP screening and prescription) within and across these clinics while also evaluating the effect on PrEP uptake, continuation, and adherence over a six-month follow-up period. Variation exists among types of family planning clinics, and this variation could have an impact on how clinics decide to implement, integrate, and even sustain PrEP services. This study will evaluate three family planning clinics as they adopt and sustain PrEP into their routine services to capture details of the implementation process unique to each clinic type, as well as commonalities across the clinics, with the ultimate aim to evaluate the impact of the implementation on the primary outcome (PrEP uptake, adherence, and continuation).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| PrEP Prescription at Enrollment | |||
| No PrEP Prescription at Enrollment |
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| Measure | Description | Time Frame |
|---|---|---|
| Proportion of participants with a PrEP prescription at baseline who initiate PrEP | Among participants with a PrEP prescription at baseline, the proportion who initiate PrEP measured via pharmacy prescription fill data, medical chart abstraction, and participant self-report | 6 months post enrollment |
| Proportion of participants with a PrEP prescription at baseline who attend at least one follow-up visit and have at least one documented PrEP prescription refill during each 3-month interval | Among participants with a PrEP prescription at baseline, the proportion who continue their PrEP regimen evidenced by pharmacy prescription fill data, medical chart abstraction, and participant self-report | 6 months post enrollment |
| Percentage of participants with a PrEP prescription at baseline who adhere to their PrEP regimen | Among participants with a PrEP prescription at baseline, percentage who adhere to PrEP, defined by 3 data sources at each follow-up visit-pharmacologic, self-report, and pharmacy. Pharmacological data will include: average ng/mg tenofovir (TFV) concentration measured via hair sample; percentage of participants with adherence level consistent with 7 doses/week (TFV ng/mL≥ 0.0370 ng/mL); percentage of participants with dried blood spot TFV concentration≥1250 fmol/punch; percentage of participants with urine TFV immunoassay detected. Self-report data will include: percentage of participants reporting no missed doses in the past 7 days; percentage of participants reporting very good or excellent adherence (5 or 6 on a 6-level scale) in the past 30 days; percentage of participants who self-report adherence of ≥90%. Pharmacy fill data will include: percentage of participants with 80% adherence measured by medication possession ratio (the # of dispensed pills/# of days since starting PrEP) | 6 months post enrollment |
| Measure | Description | Time Frame |
|---|---|---|
| Incidence rate of Neisseria gonorrhea among each participant group | For each participant group (those with and those without a PrEP prescription at baseline) the incidence rate of STIs per total follow-up period will be calculated as the ratio of new STI infections (confirmed via multiplex PCR testing or chart review) to the total amount of person-time in each group | 3- and 6-months post enrollment |
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Inclusion Criteria:
Exclusion Criteria:
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Women ages 13-45 years who have been identified as PrEP eligible in one of the 3 enrolling FP clinics comprise the study population. PrEP eligibility will be based on clinic-performed HIV testing and risk assessment. All participants will be either PrEP-naïve (no periods of PrEP use longer than 7 consecutive days) at baseline or recipient of a PrEP prescription within the past 60 days (with no periods of PrEP use longer than 7 consecutive days prior to this prescription).
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| Name | Affiliation | Role |
|---|---|---|
| Jessica M Sales, PhD | Emory University | Principal Investigator |
| Anandi N Sheth, MD, MSc | Emory University | Principal Investigator |
| Matthew A Psioda, PhD | University of North Carolina, Chapel Hill | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Emory University | Atlanta | Georgia | 30322 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29020194 | Background | Koss CA, Hosek SG, Bacchetti P, Anderson PL, Liu AY, Horng H, Benet LZ, Kuncze K, Louie A, Saberi P, Wilson CM, Gandhi M. Comparison of Measures of Adherence to Human Immunodeficiency Virus Preexposure Prophylaxis Among Adolescent and Young Men Who Have Sex With Men in the United States. Clin Infect Dis. 2018 Jan 6;66(2):213-219. doi: 10.1093/cid/cix755. | |
| 24421901 | Background | Liu AY, Yang Q, Huang Y, Bacchetti P, Anderson PL, Jin C, Goggin K, Stojanovski K, Grant R, Buchbinder SP, Greenblatt RM, Gandhi M. Strong relationship between oral dose and tenofovir hair levels in a randomized trial: hair as a potential adherence measure for pre-exposure prophylaxis (PrEP). PLoS One. 2014 Jan 8;9(1):e83736. doi: 10.1371/journal.pone.0083736. eCollection 2014. |
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De-identified study dataset will be submitted and made publicly available to the NICHD's Data and Specimen Hub (DASH) after completion of the study in accordance with the NICHD DASH Data Archive Policy.
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De-identified data will become available on the DASH hub no later than the acceptance for publication of the main findings from the final dataset
De-identified dataset will be publicly available on the DASH hub.
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| ID | Term |
|---|---|
| D015658 | HIV Infections |
| ID | Term |
|---|---|
| D000086982 | Blood-Borne Infections |
| D003141 | Communicable Diseases |
| D007239 | Infections |
| D015229 | Sexually Transmitted Diseases, Viral |
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Self-collected vaginal swabs; Self-collected anal swabs; Self-collected oral swabs; Blood samples; Urine samples; Hair samples
| Incidence rate of Chlamydia trachomatis among each participant group | For each participant group (those with and those without a PrEP prescription at baseline) the incidence rate of STIs per total follow-up period will be calculated as the ratio of new STI infections (confirmed via multiplex PCR testing or chart review) to the total amount of person-time in each group | 3- and 6-months post enrollment |
| Incidence rate of Trichomonas vaginalis among each participant group | For each participant group (those with and those without a PrEP prescription at baseline) the incidence rate of STIs per total follow-up period will be calculated as the ratio of new STI infections (confirmed via multiplex PCR testing or chart review) to the total amount of person-time in each group | 3- and 6-months post enrollment |
| Incidence rate of unintended pregnancy among each participant group | For each participant group (those with and those without a PrEP prescription at baseline) the incidence rate of unintended pregnancies (pregnancies that do not match a participant's self-reported pregnancy intentions) per total follow-up period will be calculated as the ratio of new pregnancies (confirmed via positive urine pregnancy test) to the total amount of person-time in each group | 3- and 6-months post enrollment |
| Incidence rate of HIV infection among each participant group | For each participant group (those with and those without a PrEP prescription at baseline) the incidence rate of HIV infection per total follow-up period will be calculated as the ratio of new HIV infections (defined as a positive HIV test based on an FDA-approved HIV test with confirmatory negative testing of samples collected at baseline) to the total amount of person-time in each group | 3- and 6-months post enrollment |
| Proportion of participants among each participant group reporting contraception use | For each participant group (those with and those without a PrEP prescription at baseline), contraception use will be calculated as the percentage of participants who self-report use of a CDC-defined Tier 1 or Tier 2 contraception method | Enrollment and 3- and 6-months post enrollment |
| Proportion of participants among each participant group reporting current contraception type | For each participant group (those with and those without a PrEP prescription at baseline), contraception type will be determined as the self-reported current contraception type used | Enrollment and 3- and 6-months post enrollment |
| Proportion of participants adherent to current contraceptive method measured among each participant group | Proportion of participants adherent to current contraceptive method measured among each participant group via self-report | Enrollment and 3- and 6-months post enrollment |
| Proportion of participants who are clinically-indicated to initiate PrEP | Among all participants, the proportion of participants whose current clinical and behavioral profile indicate, per CDC clinical practice guidelines, they could begin PrEP, measured via STI testing, medical chart review, and self-report | 3- and 6-months post enrollment |
| Proportion of participants who indicate interest in initiating PrEP | Among all participants, the proportion of participants who report interest in beginning PrEP via interviewer-administered questionnaire and self-report | Enrollment and 3- and 6-months post enrollment |
| Proportion of all participants who initiate PrEP | Among all participants, the proportion of participants with a PrEP-prescription, pharmacy-confirmed fill of their PrEP prescription, and who self-report initiating PrEP | Enrollment and 3- and 6-months post enrollment |
| 27098408 | Background | Wilson IB, Lee Y, Michaud J, Fowler FJ Jr, Rogers WH. Validation of a New Three-Item Self-Report Measure for Medication Adherence. AIDS Behav. 2016 Nov;20(11):2700-2708. doi: 10.1007/s10461-016-1406-x. |
| 24853306 | Background | Amico KR, Marcus JL, McMahan V, Liu A, Koester KA, Goicochea P, Anderson PL, Glidden D, Guanira J, Grant R. Study product adherence measurement in the iPrEx placebo-controlled trial: concordance with drug detection. J Acquir Immune Defic Syndr. 2014 Aug 15;66(5):530-7. doi: 10.1097/QAI.0000000000000216. |
| 26103095 | Background | Haberer JE, Bangsberg DR, Baeten JM, Curran K, Koechlin F, Amico KR, Anderson P, Mugo N, Venter F, Goicochea P, Caceres C, O'Reilly K. Defining success with HIV pre-exposure prophylaxis: a prevention-effective adherence paradigm. AIDS. 2015 Jul 17;29(11):1277-85. doi: 10.1097/QAD.0000000000000647. |
| 32975528 | Derived | Sheth AN, Hussen SA, Escoffery C, Haddad LB, Powell L, Brown N, Filipowicz TR, McCumber M, Sanchez M, Renshaw L, Psioda MA, Sales JM. Pre-Exposure Prophylaxis Integration Into Family Planning Services at Title X Clinics in the Southeastern United States: Protocol for a Mixed Methods Hybrid Type I Effectiveness Implementation Study (Phase 2 ATN 155). JMIR Res Protoc. 2020 Sep 25;9(9):e18784. doi: 10.2196/18784. |
| D012749 | Sexually Transmitted Diseases |
| 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 |