Impact of the Change in Payments on the Actual and Perceived Behaviors of Medical Care Providers
Bibliographic record
Abstract
Prior literature established the link between a person aging out of a parent's insurance coverage at age nineteen and a significant decrease in insurance coverage of those nineteen-year-old young adults. This paper furthers this line of research by establishing a statically significant change in the payment burden of the various sources that comprise the total payment received by the medical care providers treating young adults who have aged out of their parent's insurance. The empirical method used is the regression discontinuity framework. The impact of the change in the providers' payment sources on the providers' behavior (supply-side) and the patients' perception of the providers' behavior (demand-side) is examined using a 14-year sample of unmarried young adults from the Medical Expenditure Panel Survey. This research finds that although there is a statistically significant change in the sources of the total payments received by medical care providers, they do not change their actual treatment decisions. However, the patients do perceive a statistically significant adverse change in the behavior of their medical care providers.
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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 | 0.002 | 0.018 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".