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Record W7055151793

Can primary care and continuity of care prevent asthma- related emergency department use and hospitalizations amongst children?

2019· dissertation· en· W7055151793 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2019
Typedissertation
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsEmergency departmentAsthmaPrimary careConfidence intervalOdds ratioLogistic regressionContinuity of careRetrospective cohort studyTest (biology)
DOInot available

Abstract

fetched live from OpenAlex

Objective Having a primary care provider and a consistent, continuous relationship with said provider may be important for asthma outcomes. In Québec, children are mainly followed by family physicians in family medicine groups (FMGs), family physicians not part of FMGs, or by pediatricians. We sought to determine 1) whether having a usual provider of primary care was associated with asthma-related emergency department (ED) visits and hospitalization in Québec children with asthma and 2) whether continuity of care with a primary care provider was associated with acute asthma outcomes. Methods This was a population-based retrospective cohort study that used Québec provincial health administrative data from 2010-2013. The population was children diagnosed with asthma, aged 2-16 years old (N=39, 341). The main exposure was the primary care model (FMGs, non-FMGs, or pediatricians, compared to no assigned usual provider of care (UPC)). For those with an assigned UPC, continuity of care was measured by the UPC Index (high, medium, low). The main and secondary outcomes were asthma-related ED visits and hospitalizations, respectively. Multivariate logistic regression analyses were used to test associations between exposures and outcomes.ResultsOverall, 17.4% of children diagnosed with asthma in Québec had no assigned UPC. Compared to no assigned UPC, having a UPC was associated with decreased asthma-related ED visits (Pediatrician Odds Ratio (OR): 0.80, 95% confidence interval (CI) [0.73, 0.89], FMGs OR: 0.84, 95% CI [0.75,0.93], non-FMGs OR: 0.92, 95% CI [0.83, 1.02]) and hospital admissions (Pediatrician OR: 0.67, 95% CI [0.59, 0.76], FMGs OR: 0.83, 95% CI [0.73, 0.94], non-FMGs OR: 0.77, 95% CI [0.67, 0.87]). Children followed by a pediatrician were more likely to have high continuity of care. Continuity of care was not significantly associated with asthma-related ED visits but compared to low continuity, medium or high continuity was associated with decreased asthma-related hospital admissions (Medium OR: 0.81, 95% CI [0.73, 0.90], High OR: 0.72, 95% CI [0.63, 0.82])ConclusionHaving a usual provider of primary care was associated with reduced asthma-related ED visits and hospital admissions. For those who had a UPC, high continuity of care was associated with reduced likelihood of asthma-related hospital admissions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.749
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.005
GPT teacher head0.197
Teacher spread0.192 · 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.

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
Published2019
Admission routes1
Has abstractyes

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