The Association of Abnormal Liver Tests with Hepatitis C Testing in Primary Care

Evaluating the Impact of an Educational Intervention on Hepatitis C Screening in a Midwest Regional Psychiatric Unit

INTRODUCTION

Affecting more than 3.9 million Americans, the hepatitis C virus (HCV) attacks the liver by causing inflammation. Left untreated, HCV can lead to serious consequences. Targeting high-risk individuals in the inpatient psychiatric setting can lead to increased testing and referral.

AIMS

This quality improvement project determined whether an intervention-consisting of a pretest, educational session, posttest, and screening implementation-increased staff knowledge about HCV screening recommendations, identified at-risk individuals, and increased the number of patients screened and referred for treatment.

METHOD

An online HCV educational session was provided to 30 staff at a Midwest regional psychiatric unit. An online pre/posttest was conducted to determine staff knowledge and understanding prior to and after the educational session. An HCV screening tool checklist was incorporated into the electronic health record (EHR) system. A 3-month pre/post-intervention chart review was completed to determine the number of patients identified and screened for HCV.

RESULTS

A comparison of the 30 staff members' mean pre/posttest scores were calculated using an unpaired t test, showing a prescore mean of 55.15 ± 19.09 and a postscore mean of 85.75 ± 13.44, p < .001. A chi-square analysis indicated that there was a statistically significant post-intervention increase in the percentage of high-risk patients identified (5.6%-36.4%, p < .001) and screened (5.6%-31.4%, p < .001) for HCV compared with pre-intervention.

CONCLUSION

The study intervention increased staff knowledge of HCV guidelines and the number of at-risk patients identified and screened for the disease.

Identifying Patients at Risk for Fibrosis in a Primary Care NAFLD Cohort

GOALS AND BACKGROUND

Using natural language processing to create a nonalcoholic fatty liver disease (NAFLD) cohort in primary care, we assessed advanced fibrosis risk with the Fibrosis-4 Index (FIB-4) and NAFLD Fibrosis Score (NFS) and evaluated risk score agreement.

MATERIALS AND METHODS

In this retrospective study of adults with radiographic evidence of hepatic steatosis, we calculated patient-level FIB-4 and NFS scores and categorized them by fibrosis risk. Risk category and risk score agreement was analyzed using weighted κ, Pearson correlation, and Bland-Altman analysis. A multinomial logistic regression model evaluated associations between clinical variables and discrepant FIB-4 and NFS results.

RESULTS

Of the 767 patient cohorts, 71% had a FIB-4 or NFS score in the indeterminate-risk or high-risk category for fibrosis. Risk categories disagreed in 43%, and scores would have resulted in different clinical decisions in 30% of the sample. The weighted κ statistic for risk category agreement was 0.41 [95% confidence interval (CI): 0.36-0.46] and the Pearson correlation coefficient for log FIB-4 and NFS was 0.66 (95% CI: 0.62-0.70). The multinomial logistic regression analysis identified black race (odds ratio=2.64, 95% CI: 1.84-3.78) and hemoglobin A1c (odds ratio=1.37, 95% CI: 1.23-1.52) with higher odds of having an NFS risk category exceeding FIB-4.

CONCLUSIONS

In a primary care NAFLD cohort, many patients had elevated FIB-4 and NFS risk scores and these risk categories were often in disagreement. The choice between FIB-4 and NFS for fibrosis risk assessment can impact clinical decision-making and may contribute to disparities of care.

Undiagnosed liver diseases

The landscape of chronic liver disease has drastically changed over the past 20 years, largely due to advances in antiviral therapy and the rise of metabolic syndrome and associated non-alcoholic fatty liver disease (NAFLD). Despite advances in the diagnosis and treatment of a variety of liver diseases, the burden of chronic liver disease is increasing worldwide. The first step to addressing any disease is accurate diagnosis. Here, we discuss liver diseases that remain undiagnosed, either because they are difficult to diagnose or due to hepatic manifestations of an unrecognized systemic disease. Additionally, their underlying etiology may remain unknown or they represent previously uncharacterized and therefore novel liver diseases. Our goal is to provide a framework for approaching undiagnosed liver diseases which elude standard hepatic diagnostic work-up and whose patterns of disease are often overlooked.

Linkage to specialty care in the hepatitis C care cascade

Quality gaps exist in the hepatitis C virus (HCV) care process from diagnosis to cure. To better understand current gaps and to identify targets for quality improvement, we constructed an HCV care cascade in a patient-centered medical home (PCMH) with an emphasis on the specialty referral process. We performed a retrospective study of HCV-infected patients in a PCMH using electronic health record (EPIC) data. Patients with a first positive HCV RNA between 2012 and 2019 were included. With an adaptation to analyze linkage to specialty care, we created an HCV care cascade that included the following: (1) a positive HCV RNA, (2) referral to a specialty provider, (3) a scheduled specialty appointment, (4) attendance at a specialty visit, (5) prescription for HCV therapy, and (6) evidence of sustained virological response (SVR). Patient and referring clinician characteristics were analyzed at each step of the care pathway, and the proportion of patients completing each step was calculated. Of the 256 HCV RNA-positive patients, 229 (89.5%) received a specialty referral; 215 (84.0%) had an appointment scheduled; 178 (69.5%) attended the specialty appointment; 116 (45.3%) were prescribed antiviral therapy; and 87 (34.1%) had documented SVR during the study period. Of the 178 patients attending a specialty visit, 62 (34.8%) did not receive a prescription, and the barrier most often noted was the desire for further workup (40.3%). Gaps occur at all stages of the HCV care continuum, with drop-offs in care occurring both before and after linkage to specialty care.