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Record W4411181025 · doi:10.2196/69239

The Community Health Workers and Mobile Health for Emerging Adults Transitioning Sickle Cell Disease Care (COMETS) Trial: Protocol for a Randomized Controlled Trial

2025· article· en· W4411181025 on OpenAlexvenueno aff
Tanisha Belton, Caren Steinway, O. Teng, Justine Shults, Lamia P. Barakat, Banu Aygün, Abena Appiah‐Kubi, Lori E. Crosby, Omar Niss, Biree Andemariam, Lisa A. Schwartz, Samantha Luma, Kim Smith‐Whitley, Sophie Jan

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsPreprintRandomized controlled trialProtocol (science)MedicineHealth careDiseaseGerontologyFamily medicineNursingAlternative medicineWorld Wide WebComputer sciencePathologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Transitioning from pediatric to adult sickle cell disease (SCD) care is challenging for emerging adults (aged 17-25 years). This period is marked by a 7-fold increase in mortality rates and has the highest rates of hospitalizations, emergency room visits, and hospital readmissions compared with children living with SCD. These challenges are exacerbated by fragmented care coordination, difficulty navigating adult health care systems, and increased self-management responsibilities. OBJECTIVE: This study aims to compare the effectiveness of 2 interventions designed to support emerging adults living with SCD during this transition: a mobile health (mHealth) app and community health worker (CHW) support to standard care. METHODS: The Community Health Workers and Mobile Health for Emerging Adults Transitioning Sickle Cell Disease Care (COMETS) trial is an ongoing multicenter, 3-arm, open-label randomized controlled trial; 375 emerging adults (aged 17-25 years) are being enrolled and randomized 1:1:1 to (1) a 6-month CHW intervention focused on self-management skills, symptom tracking, care coordination, and transition planning; (2) a 6-month mHealth self-management program (enhanced iManage application) with tailored SMS text messaging (THRIVE [Texting Health-Related Resources to Inform, Motivate, and Engage] 2.0); or (3) enhanced usual care (control). Participants are followed for 18 months. The primary outcome is the change in self-reported health-related quality of life assessed using the PedsQL SCD module. Secondary outcomes include acute care use (hospitalizations and emergency department visits), patient activation, self-management behavior, and successful transfer to adult hematology care. RESULTS: The institutional review board at Children's Hospital of Philadelphia approved this study in June 2018. Recruitment began in January 2019 and ended in December 2022; we completed data collection in November 2024. We have enrolled a total of 405 participants. CONCLUSIONS: This trial addresses a critical gap in transition intervention research for young adults with SCD. It will provide evidence on the comparative effectiveness of 2 promising interventions (CHW and mHealth) and inform the development of scalable and sustainable transition support programs. Findings will have implications for improving health-related quality of life, reducing acute care use, and promoting successful transition to adult-centered SCD care for this vulnerable population. TRIAL REGISTRATION: ClinicalTrials.gov NCT03648710; https://clinicaltrials.gov/study/NCT03648710. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/69239.

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)0.031
metaresearch head score (Gemma)0.027
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.092
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.027
Meta-epidemiology (narrow)0.0080.004
Meta-epidemiology (broad)0.0160.006
Bibliometrics0.0020.004
Science and technology studies0.0050.004
Scholarly communication0.0060.006
Open science0.0040.002
Research integrity0.0080.011
Insufficient payload (model declined to judge)0.0920.015

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 head0.226
GPT teacher head0.643
Teacher spread0.417 · 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
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

Citations2
Published2025
Admission routes1
Has abstractyes

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