Uterine artery embolization--inpatient and outpatient therapy: a comparison of cost, safety, and patient satisfaction.
Bibliographic record
Abstract
OBJECTIVES: To determine whether uterine artery embolization (UAE) can be safely performed as an outpatient procedure without increased complications and readmission rates or decreased patient satisfaction rates and to determine the Canadian cost difference between performing UAE as an outpatient, compared with inpatient, procedure. METHODS: We performed a retrospective chart review and patient survey of 2 groups of patients, 132 patients who underwent inpatient UAE and 20 patients who underwent outpatient UAE. Of these, 82 and 18, respectively, were successfully surveyed by telephone. Variables examined included presenting complaints, postprocedural symptoms, patient satisfaction, and readmission or complication rates. We also performed a detailed Canadian cost analysis comparing inpatient with outpatient UAE. RESULTS: We did not find any statistically significant difference between inpatient and outpatient UAE on any of the patient variables measured, including presenting complaints, postprocedural symptoms, patient satisfaction, and readmission or complication rates. We also found that outpatient UAE costs significantly less than inpatient UAE, primarily owing to decreased hospital overhead costs for overnight admission. In Ontario, inpatient UAE costs per patient totalled dollars 3216.22, whereas outpatient costs totalled dollars 2194.53--a saving of dollars 1021.69, which represents a 31.8% cost reduction. CONCLUSION: Given these results, we recommend that centres consider performing UAE as an outpatient procedure. A key enabling factor is the ability to have several hours of close nursing supervision of the patient postprocedure, prior to discharge.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".