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Record W1479833118 · doi:10.3386/w19247

Physician Agency and Competition: Evidence from a Major Change to Medicare Chemotherapy Reimbursement Policy

2013· article· en· W1479833118 on OpenAlexaff
Mireille Jacobson, Tom Chang, Joseph P. Newhouse, Craig C. Earle

Bibliographic record

VenueNational Bureau of Economic Research · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsCancer Care Ontario
FundersNational Cancer InstituteRobert Wood Johnson Foundation
KeywordsReimbursementAgency (philosophy)Competition (biology)Profit marginChemotherapyBusinessHealth careMedicineFamily medicineFinanceEconomicsInternal medicineEconomic growth

Abstract

fetched live from OpenAlex

We investigate the role of physician agency and competition in determining health care supply and patient outcomes.A 2005 change to Medicare fees had a large, negative impact on physician profit margins for providing chemotherapy treatment.In response to these cuts, physicians increased their provision of chemotherapy and changed the mix of chemotherapy drugs they administered.The increase in treatment improved patient survival.These changes were larger in states that experienced larger decreases in physician profit margins.Finally while physician response was larger in more competitive markets, survival improvements were larger in less competitive markets.

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)0.011
metaresearch head score (Gemma)0.057
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 score0.057
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.057
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.003
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0100.000

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 head0.423
GPT teacher head0.497
Teacher spread0.074 · 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

Citations12
Published2013
Admission routes1
Has abstractyes

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