MétaCan
Menu
Back to cohort

The Effect of Medicaid Expansion in New York State on Use of Subspecialty Surgical Procedures by Medicaid Beneficiaries and the Uninsured

2014· article· en· W2119327811 on OpenAlexaboutno aff
Aviram M. Giladi, Oluseyi Aliu, Kevin C. Chung

Bibliographic record

VenueJournal of the American College of Surgeons · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
FundersNational Institute of Arthritis and Musculoskeletal and Skin Diseases
KeywordsMedicaidMedicineSubspecialtyQuarter (Canadian coin)Patient Protection and Affordable Care ActDemographyPopulationInterrupted time seriesFamily medicineEmergency medicineHealth careEnvironmental healthPsychological interventionPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Understanding the benefits of Medicaid is crucial as states decide whether to expand Medicaid under the Patient Protection and Affordable Care Act. We used the 2001 Medicaid expansion in New York to evaluate changes in use by Medicaid beneficiaries and the uninsured of breast cancer reconstruction, panniculectomy, and lower-extremity trauma management. METHODS: Data for all patients 19 to 64 years old having undergone the selected procedures between 1998 and 2006 were obtained from the State Inpatient Database. We used an interrupted time series using variance weighted least squares regression to evaluate the effect of Medicaid expansion on the probability that Medicaid beneficiaries or uninsured patients received the procedures. We also determined the predicted use had there been no expansion. New York Census data were used for population-adjusted case-volume calculations. RESULTS: Likelihood of Medicaid as the primary payer increased significantly after expansion, 0.34% per quarter (95% CI, 0.28-0.40), without a decrease in uninsured patients receiving these procedures. This resulted in a 7.2% increase in the proportion of Medicaid beneficiaries receiving these procedures, an additional 1.9 Medicaid cases per quarter per 100,000 New York residents. In subgroup analysis, the proportion of Medicaid beneficiaries increased for breast reconstruction (0.28% per quarter; 95% CI, 0.21-0.35) and panniculectomy (0.19% per quarter; 95% CI, 0.1-0.28) without a decrease for the uninsured. Lower-extremity trauma procedures had a decreasing trend in use by uninsured patients with a slight increase for Medicaid beneficiaries (not significant). CONCLUSIONS: Subspecialty surgeons responded to expansion by increasing volume of procedures for Medicaid beneficiaries. This occurred without decline in care for the uninsured, suggesting that Medicaid expansion resulted in increased access for underserved patients. Although more patients received needed care once they had coverage, subgroup analysis identified persistence of additional barriers to use of certain surgical services.

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)0.008
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 score0.102
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.018
GPT teacher head0.239
Teacher spread0.221 · 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

Citations39
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American College of SurgeonsSame topicHealthcare Policy and ManagementFrench-language works237,207