The Impact of Policy Reform on Utilization of Popular Reconstructive Procedures
Bibliographic record
Abstract
OBJECTIVES: Medicaid beneficiaries systematically face challenges in accessing healthcare, especially with regard to specialty services like reconstructive surgery. This study evaluated the impact of 2 healthcare reform policies, Medicaid expansion and global hospital budgeting, on utilization of reconstructive surgery by Medicaid patients. METHODS: Utilization of reconstructive surgery by Medicaid patients in New Jersey (Medicaid expansion/no global budget), Maryland (Medicaid expansion/with global budgets), and Florida (no Medicaid expansion/no global budget) between 2012 and 2016 was compared using quasi-experimental, interrupted time-series modeling. Subgroup analyses by procedure type and urgency were also undertaken. RESULTS: During the study period, the likelihood of Medicaid patients using reconstructive surgery significantly increased in expansion states (Maryland: 0.3% [95% confidence interval = 0.17% to 0.42%] increase per quarter, P < 0.001; New Jersey: 0.4% [0.31% to 0.52%] increase per quarter, P = 0.004) when compared with Florida (nonexpansion state). Global budgeting did not significantly impact overall utilization of reconstructive procedures by Medicaid beneficiaries. Upon subgroup analyses, there was a greater increase in utilization of elective procedures than emergent procedures by Medicaid beneficiaries after Medicaid expansion (elective: 0.9% [0.8% to 1.3%] increase per quarter, P = 0.04; emergent/urgent: 0.2% [0.1% to 0.4%] increase per quarter, P = 0.02). In addition, Medicaid expansion had the greatest absolute effect on breast reconstruction (1.0% [95% confidence interval = 0.7% to 1.3%] increase per quarter) compared with other procedure types. CONCLUSIONS: Medicaid expansion increased access to reconstructive surgery for Medicaid beneficiaries, especially for elective procedures. Encouragingly, although cost-constrictive, global hospital budgeting did not limit longitudinal utilization of reconstructive surgery by Medicaid patients, who are traditionally at higher risk for complications/readmissions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".