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Record W2307757139

Urban and rural differences in the management of asthma amongst primary care physicians in Alberta.

2007· article· en· W2307757139 on OpenAlexaffabout
Elaine Lum, Heather Sharpe, Carolyn Nilsson, Elaine Andrews, Ross T. Tsuyuki, Irvin Mayers, Robert Cowie

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversity of AlbertaUniversity of British Columbia
Fundersnot available
KeywordsMedicineAsthmaReferralSpirometryFamily medicinePrimary careRural areaRural healthPulmonary function testingAsthma managementHealth careEmergency medicineMedical emergencyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Inconsistencies in rural and urban health care exist; however, little has been done to evaluate the potential differences in asthma management. OBJECTIVE: To compare asthma management in rural versus urban primary care physician practices. METHODS: Forty-two of 136 consenting primary care physicians were randomly selected for chart review. The charts of 3072 patients diagnosed with asthma based on the ICD-9 Classification of Diseases were reviewed. RESULTS: Standards of asthma care were compared between rural and urban primary care physicians. 2671 patients (87%) were cared for by urban physicians and 401 patients (13%) by rural physicians. Greater proportions of male and pediatric patients were found in the rural group. Rural patients made more emergency department or hospital visits than urban patients. Rural physicians performed more pulmonary function tests and made more referrals to other healthcare specialists. Urban patients had more asthma symptoms and triggers documented and used peak flow monitoring more often. Urban physicians provided more asthma education and prescribed more oral corticosteroids and antibiotics. Overall, rates of referral, use of spirometry and use of written action plans were low globally. CONCLUSIONS: Our study indicates that the management of asthma in the rural settings is comparable to that of urban settings. Improvements in the areas of pulmonary function testing, asthma education and use of written action plans are necessary in both settings.

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)0.001
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 score0.075
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.023
GPT teacher head0.316
Teacher spread0.293 · 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

Citations13
Published2007
Admission routes2
Has abstractyes

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