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Record W4406443225 · doi:10.2196/64258

Assessment, Decision, Adaptation, Production, Topical Experts-Integration, Training, and Testing (ADAPT-ITT) Framework to Tailor Evidence-Based Posttraumatic Stress Disorder Treatment for People With HIV to Enhance Engagement and Adherence: Qualitative Results from a Feasibility Randomized Controlled Trial

2025· article· en· W4406443225 on OpenAlexvenueno aff
Cristina M. López, Angela D. Moreland, Stephanie Amaya, Erin Bisca, Christin A. Mujica, Tayler Wilson, Nathaniel L. Baker, Lauren Richey, Allison Ross Eckard, Patricia A. Resick, Steven A. Safren, Carla Kmett Danielson

Bibliographic record

VenueJMIR Formative Research · 2025
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsnot available
FundersNational Institute on Drug AbuseNational Institute of Mental HealthNational Institutes of Health
KeywordsAdaptation (eye)Posttraumatic stressPsychologyHuman immunodeficiency virus (HIV)Qualitative researchAcute Stress DisorderClinical psychologyApplied psychologyPsychotherapistMedicineSociologyFamily medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Individuals with co-occurring posttraumatic stress disorder (PTSD) and HIV are at high-risk for negative HIV-related outcomes, including low adherence to antiretroviral therapy, faster disease progression, more hospitalizations, and almost twice the rate of death. Despite high rates of PTSD in persons with HIV (PWH) and poor HIV-related health outcomes associated with PTSD, an effective evidence-based treatment for PTSD symptoms in PWH does not exist. OBJECTIVE: This study aimed to describe the adaptation and theater testing of an evidence-based intervention designed for people with co-occurring PTSD and HIV. METHODS: The Assessment, Decision, Adaptation, Production, Topical experts-integration, Training, and Testing (ADAPT-ITT) framework guided the formative process used to modify an evidence-based PTSD treatment (cognitive processing therapy; CPT) to meet the unique needs of PWH experiencing PTSD. With the integration of Life-Steps for Medication Adherence (Life-Steps), the adapted protocol (CPT-Life-Steps for integration of adherence; CPT-L) targeted HIV-related stigma and HIV medication adherence within a trauma-informed framework. Theater testing was completed with 7 participants to evaluate acceptability of CPT-L for PWH. The qualitative data (N=54 recordings) used to evaluate and adapt CPT-L emerged from individual interviews conducted with participants after each therapy session as well as exit interviews conducted at posttreatment data collection. RESULTS: After challenging stigma-related appraisals, participants expressed feeling less constrained by maladaptive thoughts. These shifts translated to increased self-efficacy with both HIV-related care and mental health. CONCLUSIONS: These results indicate that trauma-informed work with PWH should consider the impact of HIV on trauma-related stuck points, intersecting identities (including living with HIV), and challenging internalized stigma. Findings provide evidence that CPT-L is acceptable and effective in addressing internalized HIV stigma that impacts PTSD symptom maintenance and HIV treatment engagement. TRIAL REGISTRATION: ClinicalTrials.gov; NCT05275842; https://clinicaltrials.gov/study/NCT05275842?id=NCT05275842&rank=1. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1016/j.conctc.2023.101150.

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)0.256
metaresearch head score (Gemma)0.172
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.256
Threshold uncertainty score0.917

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2560.172
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0030.003
Science and technology studies0.0030.004
Scholarly communication0.0030.003
Open science0.0040.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.298
GPT teacher head0.551
Teacher spread0.253 · 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.

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

Citations7
Published2025
Admission routes1
Has abstractyes

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