Associations with Discharge to Post-Acute Care Facilities Among Patients Undergoing Open Reduction Internal Fixation of Distal Radius Fractures
Bibliographic record
Abstract
Introduction: Distal radius fractures are a common injury of the hand and wrist that often require intensive rehabilitation. We sought to identify risk factors associated with discharge to a post-acute care facility following distal radius fracture repair. Methods: The 2011 to 2016 National Surgical Quality Improvement Program® (NSQIP) database was queried for all Current Procedural Terminology (CPT) codes that corresponded with open distal radius fracture repair. Patients with concomitant traumatic injuries were excluded. Patient demographics, comorbidities, perioperative factors, laboratory data, and surgical details were collected. Our primary outcome was to determine postoperative discharge destination: home versus a post-acute care facility, and to identify factors that predict discharge to post-acute care facility. Secondary outcomes included unplanned readmission, reoperation, and complications. Results: Between 2011 and 2016, a total of 12,001 patients underwent open distal radius fracture repair and had complete information for their discharge. Of these analyzed patients, 3.24% (n = 389) were discharged to rehabilitation facilities. The following factors were identified on multivariate analysis to have an association with discharge to a post-acute care facility: 65 years or older, White race, underweight, using steroids preoperatively, American Society of Anesthesiologists (ASA) classification > 2, admitted from a nursing home or already hospitalized, anemic, undergoing bilateral surgery, wound classification other than clean, and complications prior to discharge. Conclusion: Factors identified by our study to have associations with discharge to post-acute care facilities following distal radius fracture repair can help in appropriate patient counseling and triage from the hospital to home versus a post-acute care facility.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".