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Record W2990114008 · doi:10.2196/15781

A Mobile Intervention to Improve Uptake of Pre-Exposure Prophylaxis for Southern Black Men Who Have Sex With Men: Protocol for Intervention Development and Pilot Randomized Controlled Trial

2019· article· en· W2990114008 on OpenAlexvenueno aff
Anne-Emilie Rouffiac, Laura Whiteley, Larry K. Brown, Leandro Mena, Lacey Craker, Meredith Healy, Kayla K. Haubrick

Bibliographic record

VenueJMIR Research Protocols · 2019
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesNational Institute of Mental Health
KeywordsIntervention (counseling)Men who have sex with menPre-exposure prophylaxisRandomized controlled trialMedicineProtocol (science)Human immunodeficiency virus (HIV)Family medicineAlternative medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: The uptake of pre-exposure prophylaxis (PrEP) has been slow for young black men who have sex with men (BMSM) living in the southern United States. This is a significant issue because 8 of the 10 states with the highest rates of new HIV infections are in the South. Jackson, Mississippi (MS), the site of this project, has the second highest AIDS diagnosis rate in the nation and the highest rate of HIV infection for young, urban BMSM. This study will develop and test an engaging, interactive, and cost-effective mobile messaging intervention to improve engagement in PrEP care for BMSM aged 18 to 35 years living in Jackson, MS. OBJECTIVE: The goals of this mixed methods study are to (1) conduct qualitative interviews with young BMSM in Jackson, MS, to understand individual, community, and structural barriers affecting engagement in PrEP-related care, (2) assemble a PrEP mobile messaging intervention that includes text messages with publicly available internet content (websites and YouTube videos) that provide factual information, motivational materials, and behavioral skills related to PrEP and HIV prevention, and (3) evaluate the preliminary efficacy of the intervention in a randomized controlled study with PrEP-eligible BMSM receiving care in STI/HIV testing clinics in Jackson, MS. METHODS: This research protocol will be conducted in 2 phases. A development phase will involve in-depth interviews (n=30) with PrEP-eligible BMSM who receive care in STI/HIV testing clinics in MS. These interviews will allow researchers to select the texted material that will be sent out during the intervention. The second phase will consist of an unblinded, small, randomized controlled trial among 66 new participants to examine the preliminary efficacy of the intervention compared with enhanced standard of care (ESC) on attendance at a PrEP services appointment (the first step in initiating PrEP care) and receipt of a PrEP prescription, based on self-report and electronic medical records. The free, publicly available material will be sent to PrEP-eligible BMSM in 8 to 16 interactive text messages over 4 weeks. Study assessments will occur at enrollment and at 4- and 16-weeks postenrollment and can be completed online or in person. All participants will be recruited from a local clinic. RESULTS: Institutional review board approval was received on January 16, 2017, and research activities, subsequently, began in February 2018. Recruitment for the study concluded in November 2019. In total, 65 participants were randomized with 33 being assigned to the intervention and 32 to ESC. Collection of follow-up data is ongoing. CONCLUSIONS: This PrEP mobile messaging intervention aims to increase uptake of PrEP by BMSM in the southern United States. This intervention uses interactive, tailored text messaging and appealing free Web content (publicly accessible educational websites and YouTube videos) to promote linkage to PrEP care and increase HIV preventative behaviors. A cost-effective PrEP mobile messaging intervention has great potential to improve information about PrEP, improve motivation to use PrEP, and decrease stigma and structural barriers that often prevent engagement in PrEP-related medical care. TRIAL REGISTRATION: ClinicalTrials.gov NCT03308097; https://clinicaltrials.gov/ct2/show/NCT03308097. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/15781.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.213
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.065
GPT teacher head0.471
Teacher spread0.406 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations22
Published2019
Admission routes1
Has abstractyes

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