Mobile Phone–Based Intervention Among Adolescents Living With Perinatally Acquired HIV Transitioning from Pediatric to Adult Care: Protocol for the Interactive Transition Support for Adolescents Living With HIV using Social Media (InTSHA) Study
Bibliographic record
Abstract
BACKGROUND: Adolescents living with perinatally acquired HIV often have poor retention in care and viral suppression during the transition from pediatric to adult-based care. OBJECTIVE: The aim of this study is to evaluate a mobile phone-based intervention, Interactive Transition Support for Adolescents Living With HIV using Social Media (InTSHA), among adolescents living with perinatally acquired HIV as they transition from pediatric to adult care in South Africa. METHODS: InTSHA uses encrypted, closed group chats delivered via WhatsApp (Meta Platforms Inc) to develop peer support and improve communication between adolescents, their caregivers, and health care providers. The intervention is based on formative work with adolescents, caregivers, and health care providers and builds on several existing adolescent support programs as well as the Social-ecological Model of Adolescent and Young Adult Readiness for Transition (SMART). The final InTSHA intervention involves 10 modules conducted weekly through moderated WhatsApp group chats with adolescents and separately with their caregivers. We will randomly assign 80 South African adolescents living with perinatally acquired HIV who are aware of their HIV status and aged between 15 and 19 years to receive either the intervention (n=40) or standard of care (n=40). RESULTS: We will measure acceptability of the intervention as the primary outcome and evaluate feasibility and preliminary effectiveness for retention in care and viral suppression after completion of the intervention and at least 6 months after randomization. In addition, we will measure secondary outcomes evaluating the impact of the InTSHA intervention on peer support, self-esteem, depression, stigma, sexual education, connection to health care providers, and transition readiness. Enrollment began on April 15, 2021. As of December 31, 2021 a total of 78 out of expected 80 participants have been enrolled. CONCLUSIONS: If successful, the intervention will be evaluated in a fully powered randomized controlled trial with a larger number of adolescents from urban and rural populations to further evaluate the generalizability of InTSHA. TRIAL REGISTRATION: ClinicalTrials.gov NCT03624413; https://clinicaltrials.gov/ct2/show/NCT03624413. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/35455.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.044 | 0.007 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".