Affiliation:
1. Department of Health Policy and Organization University of Alabama at Birmingham Birmingham Alabama USA
2. Department of Population Health Sciences Weill Cornell Medicine New York City New York USA
3. Department of Psychiatry Weill Cornell Medicine New York City New York USA
4. Division of General Internal Medicine Weill Cornell Medicine New York City New York USA
5. Division of Infectious Diseases Weill Cornell Medicine New York City New York USA
Abstract
AbstractObjectiveTo develop a claims‐based algorithm to determine the setting of a disease diagnosis.Data Sources and Study SettingMedicare enrollment and claims data from 2014 to 2019.Study DesignWe developed a claims‐based algorithm using facility indicators, revenue center codes, and place of service codes to identify settings where HCV diagnosis first appeared. When the first appearance was in a laboratory, we attempted to associate HCV diagnoses with subsequent clinical visits. Face validity was assessed by examining association of claims‐based diagnostic settings with treatment initiation.Data Collection/Extraction MethodsPatients newly diagnosed with HCV and continuously enrolled in traditional Medicare Parts A, B, and D (12 months before and 6 months after index diagnosis) were included.Principal FindingsAmong 104,454 patients aged 18–64 and 66,726 aged ≥65, 70.1% and 69%, respectively, were diagnosed in outpatient settings, and 20.2% and 22.7%, respectively in laboratory or unknown settings. Logistic regression revealed significantly lower odds of treatment initiation after diagnosis in emergency departments/urgent cares, hospitals, laboratories, or unclassified settings, than in outpatient visits.ConclusionsThe algorithm identified the setting of HCV diagnosis in most cases, and found significant associations with treatment initiation, suggesting an approach that can be adapted for future claims‐based studies.
Funder
National Institute on Drug Abuse
National Institute of Diabetes and Digestive and Kidney Diseases