Insurance Status, Comorbidity Diagnosis, and Hepatitis C Diagnosis Among Antibody-Positive Patients: A Retrospective Cohort Study

Author:

Goodman Sara H.12ORCID,Zahn Matthew3,Boden-Albala Bernadette2,Lakon Cynthia M.2

Affiliation:

1. Department of Pediatrics – Infectious Diseases, Stanford University School of Medicine, Palo Alto, CA, USA

2. Department of Health, Society, and Behavior, Program in Public Health Susan and Henry Samueli College of Health Sciences, University of California, Irvine, CA, USA

3. Communicable Disease Control, Orange County Health Care Agency, Santa Ana, CA, USA

Abstract

Background In California, laboratories report all hepatitis C (HCV)-positive antibody tests to the state; however, that does not accurately reflect active infection among those patients without a viral load test confirming a patient's HCV diagnosis. These public health surveillance disease incident records do not include patient details such as comorbidities or insurance status found in electronic medical records (EMRs). Objective This research seeks to understand how insurance type, insurance status, patient comorbidities, and other sociodemographic factors related to HCV diagnosis as defined by a positive viral load test among HCV antibody-positive persons from January 1, 2010 to March 1, 2020. Methods HCV antibody-positive individuals reported to the California Reportable Disease Information Exchange (CalREDIE), with a medical record number associated with the University of California, Irvine Medical Center, and an unrestricted EMR (n = 521) were extracted using manual chart review. Main Outcomes and measures HCV diagnosis as indicated in a patient's EMR in the problem list or disease registry. Results Less than a quarter of patients in this sample were diagnosed as having HCV in their EMR, with 0.4% of those diagnosed (5/116) patients with indicated HCV treatment in the medication field of their charts. After adjusting for multiple comorbidities, a multinomial logistic regression found that the relative risk ratios (RRRs) of HCV diagnosis found that patients with insurance were more likely to be diagnosed compared to those without insurance. When comparing uninsured patients to those with government insurance at the P < .05 level (RRR = 10.61 (95% confidence interval (CI): 4.14-27.22)) and those uninsured to private insurance (RRR = 6.79 (95% CI: 2.31-19.92). Conclusions These low frequencies of HCV diagnosis among the study population, particularly among the uninsured, indicate a need for increased viral load testing and linkage to care. Reflex testing on existing samples and improving HCV screening and diagnosis can help increase linkage to care and work towards eliminating this disease.

Funder

University of California, Irvine Program in Public Health

Publisher

SAGE Publications

Subject

Health Policy,Epidemiology

Reference53 articles.

1. Centers for Disease Control and Prevention. Viral hepatitis surveillance—Hepatitis C United States, 2022. 2022:1-75. Accessed November 15, 2022. https://www.cdc.gov/hepatitis/statistics/2020surveillance/hepatitis-c.htm

2. Centers for Disease Control and Prevention. Viral hepatitis surveillance—United States, 2017. Centers for Disease Control and Prevention. 2019:1–75. https://www.cdc.gov/hepatitis/statistics/2017surveillance/index.htm

3. United States Preventive Services Task Force. Hepatitis C: screening. 2020. Accessed August 23, 2019. https://www.uspreventiveservicestaskforce.org/Page/Document/UpdateSummaryFinal/hepatitis-c-screening

4. Hepatitis C

5. Trends in mortality after diagnosis of hepatitis C virus infection: An international comparison and implications for monitoring the population impact of treatment

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