The Affordable Care Act Young Adult Mandate and Suicidal Behavior
Bibliographic record
Abstract
This article aimed to determine the association between the Affordable Care Act young adult mandate and suicidal behavior. From 2007 to 2013, we used the Nationwide/National Inpatient Sample and National Poison Data System to examine suicide attempt, and Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research to examine suicide. We aggregated each outcome by quarter/year and conducted a difference-in-differences linear regression to compare young adults aged 19 to 25 years with those 27 to 29 years before and after implementation. There were not statistically significant associations between the mandate and suicide attempt inpatient hospitalizations (unstandardized beta coefficient [ b] = −0.72, p = .12, standard error [ SE] = 0.42) and percentage of poisoning cases due to suspected suicidal intent ( b = 0.23, p = .19, SE = 0.16). There was a statistically significant association when examining suicide prevalence ( b = −0.03, p = .01, SE = 0.001). The results suggest that health insurance may buffer against but is unlikely to reverse the increasing suicide rate.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".