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Record W4383058761 · doi:10.2196/44400

mHealth Early Intervention to Reduce Posttraumatic Stress and Alcohol Use After Sexual Assault (THRIVE): Feasibility and Acceptability Results From a Pilot Trial

2023· article· en· W4383058761 on OpenAlexvenueno aff
Emily R. Dworkin, Macey Schallert, Christine M. Lee, Debra Kaysen

Bibliographic record

VenueJMIR Formative Research · 2023
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsnot available
FundersNational Institute on Alcohol Abuse and AlcoholismNational Institutes of Health
KeywordsCoachingPsychological interventionmHealthIntervention (counseling)Brief interventionMedicineRandomized controlled trialClinical psychologyPoison controlPsychologyPsychiatryMedical emergency

Abstract

fetched live from OpenAlex

BACKGROUND: Sexual assault is associated with increased risk for both posttraumatic stress (PTS) and alcohol misuse. Mobile health interventions have shown promise in addressing PTS and substance use in trauma survivors and might be a promising strategy in extending the reach of early interventions to individuals who have recently experienced trauma. OBJECTIVE: This study assesses the feasibility and acceptability of THRIVE, a mobile health early intervention for recent survivors of sexual assault involving a cognitive behavioral app used daily over 21 days with weekly telephone coaching. METHODS: Twenty adult female survivors of past-10-week sexual assault with elevated PTS and alcohol use were randomized to receive the THRIVE intervention as part of a pilot randomized controlled trial. We sought to understand feasibility by examining rates of completion of intervention activities and testing changes in participants' self-reported knowledge of key intervention concepts from baseline to after the intervention. We assessed acceptability by collecting self-report ratings of satisfaction with the intervention and app usability in a follow-up survey. The coach took notes during coaching calls to track call content and record participant feedback; these notes were qualitatively analyzed to elaborate on the aforementioned domains. RESULTS: Feasibility was demonstrated by moderate rates of activity completion: all participants at least opened the app, 19 (95%) of the 20 participants completed at least 1 cognitive behavioral exercise, and 16 (80%) of the 20 participants attended all 4 coaching calls. Participants completed cognitive behavioral exercises on an average of 10.40 (SD 6.52) out of 21 days. The coaching call notes documented participant comments that app-generated reminders increased completion rates. Feasibility was also demonstrated by the finding that knowledge changes occurred from baseline to after the intervention; this indicated that THRIVE was successful in conveying key concepts. Acceptability was demonstrated by high participant ratings of THRIVE's usability; the ratings corresponded to a B+ usability grade. The coaching call notes documented that usability was increased by the coaching calls, the app exercises' clarity, and the app exercises' inclusion of suggestions; however, the coaching call notes also documented that some of the participants found aspects of the app exercises to be difficult or confusing. Acceptability was also demonstrated by participant ratings of satisfaction: most of the participants (15/16, 94%) rated the app as either moderately helpful or very helpful. The coaching call notes documented that the cognitive behavioral activity modules were seen as appealing and that the positive impact of the intervention contributed to participants' satisfaction. CONCLUSIONS: These findings suggest that THRIVE is feasible and acceptable to survivors of recent sexual assault and that further testing of THRIVE is warranted. TRIAL REGISTRATION: ClinicalTrials.gov NCT03703258; https://clinicaltrials.gov/ct2/show/NCT03703258.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.322
GPT teacher head0.545
Teacher spread0.224 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2023
Admission routes1
Has abstractyes

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