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Record W7045180759

Accessibility of adolescent care in the context of primary care reforms: a retrospective population-based cohort study in Québec, Canada

2017· other· en· W7045180759 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPrimary careContext (archaeology)Retrospective cohort studySocioeconomic statusProxy (statistics)Health careEmergency departmentMultidisciplinary approachMultivariate analysis
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Family medicine groups (FMGs) were implemented in Québec over a decade ago as a new model of multidisciplinary primary care intended to improve the medical home. Primary care is crucial for adolescents, since unhealthy behaviours such as smoking, alcohol abuse, and physical inactivity that arise during this period translate into risk factors for chronic diseases in adulthood. Proper access to primary care may help adolescents maintain health, modify unhealthy behaviors, and receive timely treatments. In Québec, adolescents primarily receive primary care from family physicians (FMG and non-FMG) or pediatricians. No published studies have investigated the impact of the new reform models on adolescent access to care.Objectives: To assess the extent to which FMGs are associated with increased access to care and decreased health inequalities for adolescents. Methods: Population-based retrospective cohort study linking province-wide health administrative data in Québec for adolescents between 2010-2013 (n=574,964). Multivariate regression analyses were performed to test associations between 4 primary care models (FMGs, family physicians not part of FMGs, pediatricians, or no primary care) and two outcomes: emergency department (ED) visits (main outcome; proxy for primary care accessibility) and primary care visits (secondary outcome). Models were adjusted for confounders: age, sex, co-morbidities, rurality, socioeconomic status (SES), and previous ED visits. Reasons for ED visits was examined through the ICD-9CA diagnostic codes on physician claims. Secondary analysis assessed for effect modification, testing the interaction between SES and primary care model.Results: The distribution of adolescents across primary care models was the following: 19.7% in FMGs, 13.7% in pediatric care, 10.1% in non-FMGs, and 56.5% in no primary care. Compared to adolescents receiving care from FMGs, fewer ED visits were made when receiving care from pediatricians (incidence rate ratio [IRR] 0.90, 95% CI 0.87-0.93) or with no primary care (IRR 0.89, 95% CI 0.87-0.91). No significant differences in rates of ED use were found between FMGs and non-FMGs (IRR 0.98, 95% CI 0.95-1.02). Adolescents in pediatric (RR 1.29, 95% CI 1.28-1.31) and non-FMG models (RR 1.12, 95% CI 1.11-1.13) were more likely to receive a primary care visit than those in FMGs. The interaction term between SES and primary care model was only significant for the secondary outcome. Non-FMGs had the greatest gap in access to primary care visits between the lowest and the highest SES groups, whereas the pediatric and FMG models had comparable gradients. Conclusion: The majority of adolescents did not utilize primary care and FMGs were not associated with improved access for adolescents. Although FMGs did not significantly impact health inequalities for ED visits, FMGs reduced inequality in primary care visits between the lowest and highest SES groups compared to non-FMGs. Among adults, FMGs have been linked to minor improvements in access. Our findings suggest the same benefit does not extend to the adolescent population. The current study identifies gaps in adolescent primary care – future studies should ascertain and address the barriers and enablers of primary care accessibility.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: yes
Observationallow
gptno category
Domain: not available · Genre: Other
About the Canadian research system: yes · About a Canadian topic: yes
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

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 score0.020
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.005
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
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 head0.016
GPT teacher head0.259
Teacher spread0.243 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical · Other

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
Published2017
Admission routes1
Has abstractyes

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