Number of Stairs at Home is Associated with Discharge to Post-Acute Care Facility Following Total Knee Arthroplasty
Bibliographic record
Abstract
Background Discharge to post-acute care facility (PACF) carries significant cost and quality burdens to patients undergoing total knee arthroplasty (TKA). In a recent study of pre-bundled payment model patients, the number of stairs (NOS) at home did not influence discharge to PACF for total hip arthroplasty. However, no study has yet examined NOS as it relates to discharge destination after TKA. In a large metropolitan market, it is not uncommon to have several flights of stairs leading to a home. We hypothesize that the number of unavoidable stairs to enter a home is a significant risk factor for discharge to PACF. Methods We reviewed 557 patients who underwent elective TKA at a single urban academic medical center between November 2011 and October 2014. Demographic data as well as NOS, ASA score, RAPT score, LOS, operative time, and tranexamic acid use were collected. T-tests, ANOVA, and Kruskal-Wallis analysis were conducted followed by a logistic regression to compare associations of factors to discharge to PACF. Results Of the 540 patients included in analysis, 193 (35.7%) were discharged home and 347 (64.3%) were discharged to a PACF. NOS (OR=1.457, p<0.001) and increased age (OR=1.057, p<0.001) were found to be significant risk factors for discharge to PACF while female sex (OR=0.57, p=0.013) and higher RAPT scores (OR=0.83, p=0.004) were protective against discharge to PACF. Conclusion With the conclusion of recent bundled payment programs, financial carrots may disappear, though it is likely that sticks will remain. Therefore, all risk factors must be identified and addressed. We found, in a pre-bundled payments era, that stairs is a risk factor for non-home discharge in a metropolitan population, and we confirmed other known risk factors of older age, higher ASA score, and lower RAPT score.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".