MétaCan
Menu
Back to cohort
Record W2995186838 · doi:10.2196/16807

Feasibility and Acceptability of an Electronic Health HIV Prevention Toolkit Intervention With Concordant HIV-Negative, Same-Sex Male Couples on Sexual Agreement Outcomes: Pilot Randomized Controlled Trial

2019· article· en· W2995186838 on OpenAlexvenueno aff
Jason W. Mitchell, Ji-Young Lee, Yan Yan Wu, Patrick S. Sullivan, Rob Stephenson

Bibliographic record

VenueJMIR Formative Research · 2019
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
FundersNational Institute of Mental Health
KeywordsRandomized controlled trialPsychological interventionConfidence intervalMedicineOdds ratioeHealthIntervention (counseling)Logistic regressionCohortDescriptive statisticsOddsPhysical therapyDemographyHealth carePsychiatrySurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: There is a need to develop innovative and accessible dyadic interventions that provide male couples with the behavioral skills to manage the risk of HIV transmission within their relationship. OBJECTIVE: We conducted a pilot randomized controlled trial (RCT) to assess the feasibility and acceptability of the electronic health (eHealth) HIV prevention toolkit intervention to encourage seroconcordant negative male couples in the United States to establish and adhere to a sexual agreement (SA). METHODS: Eligible, consented couples were randomly assigned to the intervention or education control and followed up for 6 months, with assessments occurring every 3 months after baseline. Acceptability items were assessed at both follow-up assessments. Descriptive and comparative statistics summarized cohort characteristics, relationship dynamics, and SA outcomes for the entire cohort and by trial arm. To examine the association between couples' relationship dynamics and their establishment of an SA over time and by trial arm, multilevel logistic regression analyses were performed with a random intercept to account for correlations of repeated measurements of relationship dynamics at months 3 and 6; the odds ratio (OR) of establishment of an SA and the corresponding 95% confidence interval were then reported. RESULTS: Overall, 7959 individuals initiated screening. Reasons for individual ineligibility varied. An electronic algorithm was used to assess couple-level eligibility, which identified 1080 ineligible and 266 eligible dyads. Eligible couples (n=149) were enrolled in the pilot RCT: 68 received the intervention and 81 received the education control. Retention was 71.5% (213/298 partnered men) over the 6 months. Participants reported high acceptability of the intervention along with some areas for improvement. A significantly higher proportion of couples who received the intervention established an SA at 6 months compared with those who received the education control (32/43, 74% vs 27/50, 54%; P=.05). The OR of establishing an SA for couples in the intervention versus those in the control condition was greater than 2 when controlling for a number of different relationship dynamics. In addition, the odds of establishing an SA increased by 88% to 322% for each unit increase in a variety of averaged relationship dynamic scores; the opposite result was found for dynamics of stigma. Differences between trial arms for SA type and adherence were nonsignificant at each assessment. However, changes in these 2 SA aspects were noted over time. The average number of items couples included in their SA was 18, and about one-fourth to one-third of couples included HIV prevention items. CONCLUSIONS: The findings demonstrate strong evidence for the acceptability and feasibility of the eHealth toolkit as a brief, stand-alone, couples-based HIV prevention intervention. These findings support the need to update the toolkit and evaluate it in a larger clinical trial powered for efficacy. TRIAL REGISTRATION: ClinicalTrials.gov NCT02494817; http://clinicaltrials.gov/ct2/show/NCT02494817.

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)0.013
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.058
GPT teacher head0.440
Teacher spread0.382 · 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.

Study designRandomized trial
Domainnot available
GenreEmpirical

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

Citations24
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJMIR Formative ResearchSame topicHIV/AIDS Research and InterventionsFrench-language works237,207