Understanding the impact of a clinical care pathway for major head and neck cancer resection on postdischarge healthcare utilization
Bibliographic record
Abstract
BACKGROUND: The purposes of this study were to explore the association of a postoperative clinical care pathway for patients undergoing major head and neck surgery with microvascular reconstruction on postdischarge health care utilization and cost and to compares a nonpathway group (n = 60) to a prospective, pathway-managed group (n = 54). Our primary purpose was to understand whether pathway-managed patients used postdischarge health care resources differently than patients managed without a care pathway. METHODS: Health care utilization data (counts and costs) were collected for the 3 months after discharge. Differences in utilization were compared using Poisson regression. The null hypothesis was that there were no differences in utilization between the pathway and nonpathway groups. RESULTS: Pathway patients had fewer postdischarge encounters in 2 of 4 sectors. Readmission costs were significantly less in the pathway group only. CONCLUSION: A postoperative inpatient clinical care pathway in patients with head and neck cancer is associated with decreased health care utilization and inpatient costs in the 3 months after discharge. © 2015 Wiley Periodicals, Inc. Head Neck 38: E1216-E1220, 2016.
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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 | 0.001 | 0.009 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".