Joint Commission Accreditation and Quality Measures in U.S. Nursing Homes
Bibliographic record
Abstract
This study examines the association between accreditation and select measures of quality in U.S. nursing homes, both cross-sectionally and over time. Data analyzed in this research originated from a web-based search of The Joint Commission (TJC) accredited facilities and the Nursing Home Compare set of Quality Measures relating to physical restraint use, pain management, urinary catheter use, and pressure sores. Five-Star Nursing Home Quality Rating System information was also used to calculate overall quality measure and health inspection scores. Data were analyzed using negative binomial regression. Comparing quality in the year before accreditation with the 1st year after accreditation, all five Quality Measures and both Five-Star categories demonstrated improvement. In comparing quality after 8 years of accreditation, three of the Quality Measures examined continued to improve. There were no cases where accreditation was associated with decreased quality. These results indicate that TJC accredited nursing homes improve their quality immediately after accreditation but do not continue to improve in all areas over time.
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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 | 0.022 | 0.104 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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 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".