The objective of this study is to evaluate whether alerts that identify patients without hepatitis C infection to healthcare providers and clinic staff can increase the uptake of screening for hepatitis C. A period of time without alerts will be compared to a period of time with alerts.
An estimated 2.4 million people in the United States were living with hepatitis C virus (HCV) infection during the period of 2013-2016. There were 4,798 new cases of acute HCV infection reported to the Centers for Disease Control (CDC) in 2020, but under ascertainment and underreporting of cases suggests that this number is less than 10% of all new HCV infections; as such, there were an estimated 66,700 new cases in 2020. One-time screening is recommended by both the CDC and the United States Preventive Services Task Force for asymptomatic adults (aged ≥18 years and 18-79 years, respectively). The American Association for the Study of Liver Diseases and the Infectious Diseases Society of America additionally recommends annual testing for people who inject drugs and for HIV-infected men who have sex with men. Unfortunately, HCV screening rates remain low. The objective of this before and after study is to evaluate if an HCV screening algorithm, disseminated as risk score alerts in the CHORUS™ Disease Management and Clinical Considerations Report to healthcare providers and clinic staff, increases the uptake of HCV screening among patients who are HCV screening-eligible (i.e., not known to have current or prior HCV infection).
Study Type
OBSERVATIONAL
Enrollment
125,706
ZS Associates developed a machine learning-based model that provides a numeric % chance of returning a positive hepatitis C test for a patient without diagnosed hepatitis C infection. The data used to develop the model included a US-based large scale data source including electronic medical records, medical claims, and pharmacy claims as well as social determinants of health identified from open-source data. Clinical Health Outcomes Reporting \& Utilization Service (CHORUS™) is a web-based reporting solution that transforms electronic health record data into meaningful information for healthcare providers. CHORUS™ generates a weekly email report that alerts clinics to patients who have a scheduled appt in the coming week and may require attention. In the after period of this study, the alert will identify patients who are eligible to be screened for hepatitis C infection and provide the % chance of returning a positive hepatitis C infection test.
CHORUS™ is a service provided to participating clinics and has been used by AIDS Healthcare Foundation for normal healthcare operations for quality improvement and retention in care in recent years. NO alerts identifying patients who are eligible to be screening for hepatitis C infection will be disseminated.
AIDS Healthcare Foundation
Los Angeles, California, United States
Screening to Diagnosis Ratio for Hepatitis C Infection
Number of HCV screening-eligible individuals who complete a visit and who are screened by either an HCV antibody or HCV RNA test divided by the number of individuals whose HCV RNA test returns a detectable result (i.e., people with active HCV infection).
Time frame: End of follow-up (Before study period: October 2022; After study period: October 2023)
Screening Tests for Hepatitis C Infection
Proportion of HCV screening-eligible patients who receive HCV antibody test alone, HCV RNA test alone, and reactive HCV antibody test followed by an HCV RNA or genotype test.
Time frame: End of follow-up (Before study period: October 2022; After study period: October 2023)
HCV RNA Viral Load Tests
Among individuals who screen positive for HCV infection (i.e., reactive HCV antibody test) over follow-up, the distribution of HCV RNA test results (i.e., detectable, not detectable)
Time frame: End of follow-up (Before study period: October 2022; After study period: October 2023)
HCV Screening History
The HCV screening history for HCV screening-eligible individuals who were previously HCV negative but are at high-risk for HCV infection (i.e., HIV-infected men who have sex with men and people who inject drugs) will be described.
Time frame: Baseline (Before study period: January 2022; After study period: January 2023)
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