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Record W4416100332 · doi:10.1002/jhm.70219

Low‐value care and variation in practice in the care of children hospitalized with bronchiolitis in Canada (CareBEST): Protocol for a multi‐center prospective cohort study

2025· article· en· W4416100332 on OpenAlexafffundabout
Branden Bonham, Tamara Pérez, Michelle Bailey, Nick Barrowman, Christopher P. Bonafide, Ariane Boutin, Melanie Buba, Francine Buchanan, Matthew Carwana, Breanna A. Chen, Evelyn Constantin, Francesca del Giorgio, Zachary Dionisopoulos, Christine Fahim, Karen Forbes, Jeremy Friedman, Josée Anne Gagnon, Peter J. Gill, Mei Han, Nelly Huynh, Maria D. Karaceper, Terry P. Klassen, Isabelle Lahaie, Patricia Li, Myla E. Moretti, Sanjay Mahant, Sarah Manos, Hayat Mekhici, Chris Novak, Olivia Ostrow, Caroline Quach, Julie Quet, Mahmoud Sakran, Anupam Seghal, Alan R. Shroeder, Marc‐André Turcot, Gita Wahi, Olivier Drouin

Bibliographic record

VenueJournal of Hospital Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsMcMaster UniversityHôpital Maisonneuve-RosemontKingston Health Sciences CentreLakeridge HealthIzaak Walton Killam Health CentreLawson Health Research InstituteSaskatoon City HospitalUniversity of AlbertaChildren’s Health Research InstituteMcGill UniversityLondon Health Sciences CentreUniversité LavalBC Children's HospitalPublic Health OntarioUniversity of SaskatchewanUniversité de MontréalNova Scotia Health AuthorityWestern UniversityHospital for Sick ChildrenUniversity HospitalSickKids FoundationUniversity of TorontoMcMaster Children's HospitalMcGill University Health CentreInstitute for Clinical Evaluative SciencesUniversity of OttawaAlberta Children's HospitalCentre Hospitalier Universitaire Sainte-JustineChildren's Hospital of Eastern OntarioUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsBronchiolitisProtocol (science)Psychological interventionProspective cohort studyCohort studyHealth careVariation (astronomy)MEDLINE

Abstract

fetched live from OpenAlex

INTRODUCTION: Low-value care refers to health services for which the potential harms or costs outweigh the benefits of use. Bronchiolitis is the most common and among the most costly causes of pediatric hospitalizations. Evidence consistently shows that many common tests and treatments used to manage bronchiolitis do not improve outcomes. Further, differential use of low-value care between patients may perpetuate care inequities. In Canada, rates of low-value care use in children hospitalized with bronchiolitis, and differences in care across hospitals, clinicians, and patient subgroups, remain poorly characterized. OBJECTIVE: To understand practice patterns for six low-value health services in the care of children aged 1-12 months hospitalized for bronchiolitis: respiratory virus testing; chest X-rays; continuous pulse oximetry; short-acting beta-agonists; systemic corticosteroids; and antibiotics. METHODS: We are conducting a multi-center prospective cohort study of children admitted with bronchiolitis in 15 Canadian hospitals. We will use chart reviews to compare low-value care use between hospitals and clinicians, and caregiver surveys to compare between sociodemographic groups. Questionnaires will also collect caregiver perspectives on their child's bronchiolitis care, including role in medical decision-making and understanding of treatment decisions. DISCUSSION: Our study will provide critical information on the usage and variation in delivery of low-value care for bronchiolitis in Canada, elucidating potential care inequities. Findings will inform the development of interventions to address such inequities, and improve opportunity costs for health systems. Enrollment began in October 2024 and is projected to be completed in May 2026, with analyses and reporting shortly following.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.363
Teacher spread0.353 · 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.

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

Citations0
Published2025
Admission routes3
Has abstractyes

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