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Record W4388817848 · doi:10.1186/s12877-023-04429-5

Clinical competence, communication ability and adherence to choosing wisely recommendations for lipid reducing drug use in older adults

2023· article· en· W4388817848 on OpenAlexafffund
Robyn Tamblyn, Teresa Moraga, Nadyne Girard, Fiona K.I. Chan, Bettina Habib, John R. Boulet

Bibliographic record

VenueBMC Geriatrics · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare cost, quality, practices
Canadian institutionsMcGill UniversityMcGill University Health Centre
FundersCanadian Institutes of Health ResearchFoundation for Advancement of International Medical Education and Research
KeywordsMedicineMedical prescriptionSpecialtyOdds ratioLogistic regressionInternal medicineAmbulatoryPhysical therapyCohortFamily medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Although lipid-lowering drugs are not recommended for primary prevention in patients 75+, prevalence of use is high and there is unexplained variation in prescribing between physicians. The objective of this study was to determine if physician communication ability and clinical competence are associated with prescribing lipid-lowering drugs for primary and secondary prevention. METHODS: We used a cohort of 4,501 international medical graduates, 161,214 U.S. Medicare patients with hyperlipidemia (primary prevention) and 49,780 patients with a history of cardiovascular disease (secondary prevention) not treated with lipid-lowering therapy who were seen by study physicians in ambulatory care. Clinical competence and communication ability were measured by the ECFMG clinical assessment examination. Physician citizenship, age, gender, specialty and patient characteristics were also measured. The outcome was an incident prescription of lipid-lowering drug, evaluated using multivariable GEE logistic regression models for primary and secondary prevention for patients 75+ and 65-74. RESULTS: Patients 75+ were less likely than those 65-74 to receive lipid-lowering drugs for primary (OR 0.62, 95% CI 0.59-0.66) and secondary (OR 0.70, 95% CI 0.63-0.78) prevention. For every 20% increase in clinical competence score, the odds of prescribing therapy for primary prevention to patients 75+ increased by 24% (95% CI 1.02-1.5). Communication ability had the opposite effect, reducing the odds of prescribing for primary prevention by 11% per 20% score increase (95% CI 0.8-0.99) for both age groups. Physicians who were citizens of countries with higher proportions of Hispanic (South/Central America) or Asian (Asia/Oceania) people were more likely to prescribe treatment for primary prevention, and internal medicine specialists were more likely to treat for secondary prevention than primary care physicians. CONCLUSION: Clinical competence, communication ability and physician citizenship are associated with lipid-lowering drug prescribing for primary prevention in patients aged 75+.

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 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)0.009
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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.652
GPT teacher head0.576
Teacher spread0.076 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2023
Admission routes2
Has abstractyes

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