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Record W4404130595 · doi:10.1016/j.jacadv.2024.101351

Impact of Remoteness of Residence and Socioeconomic Status on Outcomes Among Children With Heart Disease in Alberta

2024· article· en· W4404130595 on OpenAlexaffabout
Jennifer Conway, Andrew S. Mackie, Christopher Smith, Douglas C. Dover, Padma Kaul, Lisa K. Hornberger

Bibliographic record

VenueJACC Advances · 2024
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsCanadian VIGOUR CentreWomen and Children’s Health Research InstituteUniversity of Alberta HospitalUniversity of Alberta
Fundersnot available
KeywordsSocioeconomic statusResidenceEnvironmental healthDemographyGeographyMedicineGerontologyPopulationSociology

Abstract

fetched live from OpenAlex

There is a paucity of data regarding the impact of remoteness of residence (RoR) and socioeconomic status (SES) on access to care and outcomes for children with congenital heart disease (CHD) or acquired heart disease (AHD) in a jurisdiction of universal health and centralized cardiac care. The primary objective was to examine whether RoR, SES, and their interaction impact access to health care and outcomes for children with heart disease in Alberta, Canada. This was a population-based study of children with CHD or AHD born between January 1, 2005, and December 31, 2017, in Alberta, Canada. Primary outcomes included age at diagnosis, time from diagnosis to intervention, number of annual primary care visits, annual cardiologist visits, annual emergency room visits, and survival. Multivariable Cox proportional hazards models identified independent associations. Longitudinal relationships between the number of annual physician visits and RoR and SES were assessed with multivariable Poisson models. We included 12,542 children (94% CHD, 6% AHD), 70.4% living <60 minutes’ drive of a cardiac center, and 10.9% residing >180 minutes away. RoR and SES were not associated with age at diagnosis, time from diagnosis to intervention, annual primary care visits, or transplant free survival for either CHD or AHD. Although SES demonstrated no impact, annual annual cardiologist visits were inversely related to RoR for CHD (60-180 minutes rate ratio [RR]: 0.83, 95% CI: 0.73-0.95; >180 minutes RR: 0.77, 95% CI: 0.67-0.88; P < 0.0001) and AHD (60-180 minutes RR: 0.63, 95% CI: 0.39-1.00; >180 minutes RR: 0.53, 95% CI: 0.34-0.84; P = 0.02). Additionally, increased annual emergency room visits were associated with further RoR ( P < 0.001) in both CHD and AHD and lower SES ( P < 0.001) only for those with CHD. Age at diagnosis, time to intervention, annual primary care visits, and transplant-free all-cause survival were not impacted by RoR or SES in children with heart disease. Greater RoR and SES, however, were associated with fewer annual cardiology visits and increased annual emergency room visits, which highlights the need for novel surveillance strategies for remote pediatric patients with heart disease.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.313
Teacher spread0.306 · 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

Citations2
Published2024
Admission routes2
Has abstractyes

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