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Record W4328053907 · doi:10.46747/cfp.6903e61

Timely access to primary care in New Brunswick

2023· article· en· W4328053907 on OpenAlexaffvenueabout
Véronique Manuel, Iva Bien-Aimé, Éric Boutot, Jérémie B. Dupuis, Claire Johnson

Bibliographic record

VenueCanadian Family Physician · 2023
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsPrimary careComputer scienceWorld Wide WebData sciencePrimary health carePrimary (astronomy)MedicineFamily medicineEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the factors that influence variation in timely access to primary care across the different health regions in New Brunswick. DESIGN: Descriptive and comparative study of organizational practices in primary care practices based on speed of access. Data were collected from December 2019 to March 2020 using semistructured interviews conducted by telephone, in person, or online, according to participants' preferences. SETTING: New Brunswick. PARTICIPANTS: Participants were primary care providers. Two types of regions were targeted: those with a higher proportion of citizens with timely access to primary care (regions with faster access) and those with less timely access (regions with slower access). A sample of 27 participants was used. MAIN OUTCOME MEASURES: Organizational practices (ie, new technologies, team-based health services, performance measurement, method of appointment booking, and physician remuneration model) according to prevalence of timely access. RESULTS: =.025), compared with participants from regions with slower access. CONCLUSION: This study found that performance measurements and other organizational practices are favourably linked to timely access to primary care.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.932
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.008

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 head0.069
GPT teacher head0.386
Teacher spread0.317 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations3
Published2023
Admission routes3
Has abstractyes

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