Senators introduce bill expanding psychological care in Medicare
Bibliographic record
Abstract
A Democratic and a Republican U.S. senator have introduced legislation that would expand Medicare beneficiaries’ access to services delivered by clinical psychologists. Sens. Sherrod Brown (D‐Ohio) and Susan Collins (R‐Maine) have introduced the Increasing Mental Health Options Act of 2022; companion legislation has been introduced in the House by a bipartisan group of members. The bill would ensure that clinical psychologists are recognized as independent care providers in all settings of care under Medicare. “Medicare requires patients in some settings to first obtain a physician's approval before seeing a psychologist, creating an administrative barrier for necessary mental health care,” American Psychological Association CEO Arthur C. Evans Jr., Ph.D., said in a news release from Collins’ office. “For decades, the Medicare statute has allowed clinical psychologists to practice independently most everywhere else, and the statute should be modernized to allow independent practice across the board, as is authorized under all state licensure laws,” Evans said. Around one‐quarter of all Medicare beneficiaries have a mental illness. “By better aligning Medicare's policies with other major insurers, removing unnecessary barriers that can delay care, and incentivizing psychologists to see Medicare patients in rural and underserved areas, our bipartisan bill will improve seniors’ access to mental health treatment and help strengthen the overall well‐being of older adults,” Collins said.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.029 | 0.016 |
| Insufficient payload (model declined to judge) | 0.064 | 0.024 |
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".