A preliminary assessment of guideline adherence and clinical variation in oral cancer treatment: a MarketScan database study
Bibliographic record
Abstract
BACKGROUND: To assess variations in adherence to guideline-recommended processes of care for oral cavity cancer patients. METHODS: Retrospective study using a U.S. healthcare research database (MarketScan). Index diagnoses were considered from 2010 to 2012 with follow-up from 2013 to 2014. Diagnostic and procedure codes were utilized to identify oral cavity patients with a defined treatment modality. Compliance with guideline-recommended processes of care, which included pre-treatment imaging, thyroid-function testing (TFTs), multidisciplinary consultation and gastrostomy-tube insertion rates, were assessed. RESULTS: A total of 2752 patients were identified. Surgery alone was the most common treatment (60.8%), followed by surgery with adjuvant chemoradiotherapy (20.4%) and surgery with adjuvant radiotherapy (18.8%). Head/neck and chest imaging were obtained in 60% and 62.5% of patients respectively. Significant geographical differences in head and neck imaging were observed between North-central (64%), South (58.4%) and West (56.1%) regions (p = 0.026). Differences in chest imaging were also present between North-east (65%) and West (56.8%; p = 0.007). TFTs were obtained in 54.4% of the patients after radiation treatment, and 18.6% of patients had multidisciplinary consultation during the 6 months before and 3 months after initiation of treatment. During the year after treatment initiation, 21.2% of patients underwent G-tube placement, with significantly higher rates in patients receiving triple modality treatment (58%) when compared to surgery plus radiation (27%) and surgery alone (15%; p < 0.01). CONCLUSION: Adherence to evidence-based practices was low based on the database coding. These data suggest a potential to improve adherence and increase the routine use of practices delineated in national clinical practice guidelines. CLINICAL RELEVANCE: This study reflects a suboptimal adherence to guidelines based on the database employed. This study should be considered by healthcare providers and efforts should be maximized to follow the processes of care which have proven to impact on patient's outcomes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".