Health Benefits In 2023: Premiums Increase With Inflation And Employer Coverage In The Wake Of <i>Dobbs</i>
Bibliographic record
Abstract
In 2023 the average annual premium for employer-sponsored family health insurance coverage was $23,968—an increase of $1,505 (7 percent) from 2022. Both single and family premiums increased faster in 2023 than in 2022, in a period of generally high inflation throughout the US economy. On average, covered workers contributed 17 percent ($1,401) of the cost of single coverage and 29 percent ($6,575) of the cost of family coverage. When compared to employers’ perceptions of the number of primary care providers in their networks, a smaller share of employers believed that their provider networks had a sufficient number of mental health and substance abuse providers to provide timely access to services. One-quarter of employers indicated that their employees had a “high” level of concern with the level of cost sharing required by their plans. When asked about abortion coverage in the wake of the Supreme Court Dobbs decision, almost a third of large employers reported that their largest plan covered abortion in most or all circumstances.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".