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Clinician validation of the Medicare measure for potentially avoidable hospital visits after chemotherapies
Arthur S Hong1,2,3,4, Michael D Dang1, Vincent Merrill1
1Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Background:
Medicare's OP-35 measure (the 35th hospital outpatient quality measure) tracks unplanned hospital visits within 30 days of chemotherapy and defines a subset as "potentially avoidable" using approximately 300 diagnosis codes. Despite widespread adoption in policy and oncology quality reporting, the measure has not been validated with clinician review.
Methods:
We identified 14 220 acute hospital visits within 30 days of chemotherapy (2016-2023) from 22 hospitals in 3 health systems (academic, safety-net, community). A 5% stratified random sample of 705 visits underwent blinded review by 3 clinicians, who adjudicated avoidability and assigned a clinical classification for each visit (eg, nonemergent care occurring overnight, nonurgent blood product transfusion, uncontrolled symptoms requiring hospital care). The gold standard definition for an avoidable visit was based on a majority of the clinicians. We assessed the diagnostic characteristics of OP-35 using sensitivity, specificity, accuracy, and area under receiver operator curve (AUROC). We used the clinical classifications to develop a new set of Actionable Categories of avoidability and assessed its diagnostic characteristics.
Results:
Clinicians judged 30.2% (213/705) of visits as avoidable. OP-35 classified a similar proportion (30.8%, 217/705), but agreement was low. Sensitivity of OP-35 was 34.7% (95% confidence interval [CI] = 28.2% to 41.6%), specificity 70.9% (95% CI = 66.7% to 74.8%), and accuracy 59.9% (95% CI = 56.2% to 63.6%), with AUROC of 0.53. The Actionable Categories classification performed better: sensitivity 89.7%, specificity 85.2%, accuracy 86.5%, and AUROC 0.87.
Conclusions:
OP-35 showed poor agreement with clinicians for avoidable hospital visits, raising concerns about its clinical validity. An alternative classification system grouping visits into actionable clinical scenarios offered superior diagnostic accuracy.
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