Primary Care Appointment Availability and the ACA Insurance Expansions.
Bibliographic record
Abstract
In the current debate in Congress over the Affordable Care Act (ACA), the issue of provider access is a major concern. Fortunately, our 10-state audit study published in JAMA Internal Medicine finds that primary care appointment availability for new patients with Medicaid increased 5.4 percentage points between 2012 and 2016 and remained stable for patients with private coverage. Over the same period, both Medicaid patients and the privately insured experienced a one-day increase in median wait times. Higher appointment availability for Medicaid patients is a surprising result given the increase in demand for care from millions of new Medicaid enrollees. In this Issue Brief, we summarize our study’s findings, expand on possible explanations, and extend the analysis by examining the relationship between appointment availability and state-level Medicaid expansions. We find that access to primary care increased for Medicaid patients only in states that extended Medicaid eligibility to low-income, nonelderly adults. Combined, these results suggest coverage provisions in the ACA have not overwhelmed primary care capacity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 source (direct Gemma or distilled Codex), 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".