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Record W2105922258 · doi:10.1377/hlthaff.2009.1026

Where Americans Get Acute Care: Increasingly, It’s Not At Their Doctor’s Office

2010· article· en· W2105922258 on OpenAlexaboutno aff
Stephen R. Pitts, Emily Carrier, Eugene C. Rich, Arthur L. Kellermann

Bibliographic record

VenueHealth Affairs · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
FundersU.S. Public Health Service
KeywordsAcute careQuarter (Canadian coin)MedicineHealth careEmergency departmentAmbulatory careFamily medicineMedical emergencyHealth care reformMedical carePatient Protection and Affordable Care ActNursingHealth insurancePublic healthHealth policyPolitical science

Abstract

fetched live from OpenAlex

Historically, general practitioners provided first-contact care in the United States. Today, however, only 42 percent of the 354 million annual visits for acute care--treatment for newly arising health problems--are made to patients' personal physicians. The rest are made to emergency departments (28 percent), specialists (20 percent), or outpatient departments (7 percent). Although fewer than 5 percent of doctors are emergency physicians, they handle a quarter of all acute care encounters and more than half of such visits by the uninsured. Health reform provisions in the Patient Protection and Affordable Care Act that advance patient-centered medical homes and accountable care organizations are intended to improve access to acute care. The challenge for reform will be to succeed in the current, complex acute care landscape.

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0060.004
Open science0.0000.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.002

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 head0.040
GPT teacher head0.291
Teacher spread0.250 · 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

Citations281
Published2010
Admission routes1
Has abstractyes

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