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Record W4307055867 · doi:10.1093/pch/pxac100.065

66 Trends in bronchiolitis emergency department visits in Ontario, 2004-2018: A population-based cohort study

2022· article· en· W4307055867 on OpenAlexaffabout
Justin Brunet, Peter J. Gill, Haris Imsirovic, Meltem Tuna, Braden Knight, Richard D. Webster, Patricia C. Parkin, Teresa To, Suzanne Schuh, Sanjay Mahant

Bibliographic record

VenuePaediatrics & Child Health · 2022
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsBronchiolitisMedicineEmergency departmentPediatricsPopulationCohortBronchitisEmergency medicineDemographyInternal medicineRespiratory systemEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Background Bronchiolitis is the most common lower respiratory tract infection in children and places a significant burden on the health care system. There have been few population-based studies describing trends in emergency department (ED) rates over time. Objectives To estimate population-based rates and trends of bronchiolitis ED visits from 2004 to 2018 in Ontario, Canada. Design/Methods We conducted a population-based cohort study of all children less than 2 years of age from April 1, 2004 to March 31, 2018 using linked administrative data. Bronchiolitis hospital encounters were identified using ICD-10 discharge diagnosis codes. The primary outcome was bronchiolitis ED visit rate estimated per 1000 person-years. Secondary outcomes included ED visit rate by subgroups (age, gestational age, birth weight, comorbidity, rurality, and material deprivation), bronchiolitis hospitalizations per 100 bronchiolitis ED visits, bronchiolitis ED 14-day revisit rate (ED revisit or hospitalization per 100 ED visits), and mortality rate (in- and out-of-hospital deaths per 1000 person-years). Annual percent change (APC) was estimated using log-linear regression models to determine trends in outcomes. Results Of the 2,336,446 infants less than 2 years of age during the study period, 93,843 children (4.0%) had 115,116 bronchiolitis ED visits at 208 hospitals. Bronchiolitis accounted for an increasing percentage of all-cause ED visits, from 7,446 (3.4%) of 216,122 in 2004-2005 to 9,702 (4.2%) of 231,693 in 2017-2018 (APC 2.2%; 95% CI [1.2-3.2]). Bronchiolitis ED visits per 1000 person-years increased by 26.7% from 27.0 (95% CI, 26.4-27.7) in 2004-2005 to 34.2 (95% CI, 33.5-34.9) in 2017-18 (APC=2.6%; 95% CI [1.5-3.8], p<0.001). Subgroup specific rates similarly increased over the study period. Hospitalizations per 100 ED visits decreased from 51.8 (95% CI, 50.2-53.4) in 2004-2005 to 37.0 (95% CI, 35.8-38.2) in 2017-2018 (APC -2.6% [95% CI, -3.3 to -1.8], p<0.0001). Revisits after an ED encounter were stable, 14.0 (95% CI, 13.0-15.0) in 2004-2005 and 11.8 (95% CI, 11.1-12.6) per 100 ED visits in 2017-2018 (APC -0.3%, [95% CI, -1.3 to 0.7]; p=0.68), as was the mortality rate (Figure 1). Conclusion In a population-based study from 2004 to 2018, bronchiolitis ED use increased significantly. However, the bronchiolitis hospitalizations declined relative to ED visits, and the ED revisit and mortality rate remained stable, suggesting that illness severity did not increase. These findings indicate an increasing health services burden of bronchiolitis on EDs.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.021
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.004
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.354
Teacher spread0.323 · 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 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".

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Citations0
Published2022
Admission routes2
Has abstractyes

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