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Record W2068661717 · doi:10.1080/10401330701332052

Medical Student, Medicine Resident, and Attending Physician Knowledge of the Medicare Prescription Drug Modernization and Improvement Act of 2003

2007· article· en· W2068661717 on OpenAlexaboutno aff
Bruce Y. Lee, Adam Gilden Tsai, Barbara J. Turner

Bibliographic record

VenueTeaching and Learning in Medicine · 2007
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsFamily medicineMedical prescriptionMedicineIgnoranceLegislationHealth careAlternative medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: The Medicare Prescription Drug Modernization and Improvement Act of 2003 (MMA) will undoubtedly influence health care delivery and affect how physicians practice medicine in the United States. PURPOSE: To evaluate the extent to which medical students, medicine residents, and physicians are informed about key provisions of the MMA. METHODS: Eighty-four attending physicians, 104 medicine residents, and 115 fourth-year medical students at the University of Pennsylvania were surveyed over a 2-week period in February-March 2004. The brief survey instrument consisted of 10 multiple choice questions: 9 questions assessing how well-informed respondents were about the MMA and 1 question assessing their knowledge of general current events. RESULTS: Most respondents (77.8%) either "strongly disagreed" or "disagreed" that they were adequately informed about the MMA. While more than half of all respondents correctly answered the two questions about drug importation from Canada and general current events, a majority did not provide the correct answer to each of the other questions. No significant differences appeared by training. CONCLUSIONS: Attending physicians, medicine residents, and medical students at the University of Pennsylvania were generally ill informed about the MMA. Physician ignorance about important health care legislation continues to be a significant problem. More effective means of educating and informing medical students and physicians at all levels of training about important health policy changes may be warranted.

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)0.010
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.315
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.158
GPT teacher head0.529
Teacher spread0.371 · 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 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

Citations8
Published2007
Admission routes1
Has abstractyes

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