Hepatitis C Antibody Testing in a Commercially Insured Population, 2005-2014

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

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.

Testing for Hepatitis C Virus Infection Among Adults Aged ≥18 in the United States, 2013-2017

OBJECTIVE

Approximately 2.4 million people in the United States are living with hepatitis C virus (HCV) infection. The objective of our study was to describe demographic and socioeconomic characteristics, liver disease-related risk factors, and modifiable health behaviors associated with self-reported testing for HCV infection among adults.

METHODS

Using data on adult respondents aged ≥18 from the 2013-2017 National Health Interview Survey, we summarized descriptive data on sociodemographic characteristics and liver disease-related risk factors and stratified data by educational attainment. We used weighted logistic regression to examine predictors of HCV testing.

RESULTS

During the study period, 11.7% (95% CI, 11.5%-12.0%) of adults reported ever being tested for HCV infection. Testing was higher in 2017 than in 2013 (adjusted odds ratio [aOR] = 1.27; 95% CI, 1.18-1.36). Adults with ≥some college were significantly more likely to report being tested (aOR = 1.60; 95% CI, 1.52-1.69) than adults with ≤high school education. Among adults with ≤high school education (but not adults with ≥some college), those who did not have health insurance were less likely than those with private health insurance (aOR = 0.78; 95% CI, 0.68-0.89) to get tested, and non-US-born adults were less likely than US-born adults to get tested (aOR = 0.77; 95% CI, 0.68-0.87).

CONCLUSIONS

Rates of self-reported HCV testing increased from 2013 to 2017, but testing rates remained low. Demographic characteristics, health behaviors, and liver disease-related risk factors may affect HCV testing rates among adults. HCV testing must increase to achieve hepatitis C elimination targets.

Determining the lower limit of detection required for HCV viral load assay for test of cure following direct-acting antiviral-based treatment regimens: Evidence from a global data set

Achieving global elimination of hepatitis C virus requires a substantial scale-up of testing. Point-of-care HCV viral load assays are available as an alternative to laboratory-based assays to promote access in hard to reach or marginalized populations. The diagnostic performance and lower limit of detection are important attributes of these new assays for both diagnosis and test of cure. Therefore, our objective was to determine an acceptable LLoD for detectable HCV viraemia as a test for cure, 12 weeks post-treatment (SVR12). We assembled a global data set of patients with detectable viraemia at SVR12 from observational databases from 9 countries (Egypt, the United States, United Kingdom, Georgia, Ukraine, Myanmar, Cambodia, Pakistan, Mozambique) and two pharmaceutical-sponsored clinical trial registries. We examined the distribution of HCV viral load at SVR12 and presented the 90th, 95th, 97th and 99th percentiles. We used logistic regression to assess characteristics associated with low-level virological treatment failure (defined as <1000 IU/mL). There were 5973 cases of detectable viraemia at SVR12 from the combined data set. Median detectable HCV RNA at SVR12 was 287,986 IU/mL. The level of detection for the 95th percentile was 227 IU/mL (95% CI 170-276). Females and those with minimal fibrosis were more likely to experience low-level viraemia at SVR12 compared to men (adjusted odds ratio AOR = 1.60 95% confidence interval [CI] 1.30-1.97 and those with cirrhosis (AOR = 1.49 95% CI 1.15-1.93). In conclusion, an assay with a level of detection of 1000 IU/mL or greater may miss a proportion of those with low-level treatment failure.

Prevalence and risk factors of hepatitis C virus infection in the rural northeastern United States

INTRODUCTION AND OBJECTIVES

The majority of studies regarding hepatitis C virus (HCV) prevention, screening, and treatment have been conducted in urban populations, and it is unlikely that their findings are broadly generalizable to nonurban populations. This study aimed to measure the prevalence and risk factors of HCV infection in the rural northeastern United States (US) to provide further clinical guidance for HCV screening.

MATERIALS AND METHODS

This was a retrospective review of all patients older than 18 years evaluated at an integrated healthcare system, serving northern Pennsylvania and southern and central New York, who received first-time HCV screening from January 2014 to December 2019.

RESULTS

30,549 patients were screened, of which 1.7% were HCV antibody positive. From 2014 to 2018, the incidence of positive HCV antibody screening cases per 100,000 population increased two-fold from 18.1 in 2014 to 40.4 in 2018. The age of positive HCV antibody patients peaked at 29.13 (95% CI 26.15-31.77) and 59.93 (95% CI 58.71-61.17). Positive HCV antibody was associated with positive urine drug screen (OR 5.9; 95% CI 3.8-9.3), narcotic use (OR 25.4; 95% CI 8.7-77.8), and overdose (OR 17.5; 95% CI 3.0-184.6).

CONCLUSIONS

In this rural northeastern US population, there is an increasing incidence of positive HCV screening with a bimodal age of distribution. Risk factors associated with opioid use reflect challenges to disease eradication in this population. We propose a one-time screening for persons aged 35 to 40 will aid in earlier HCV infection diagnosis and treatment in rural populations.

Cascade of Hepatitis C Virus Care Among Patients With Substance Use Disorders

INTRODUCTION

Hepatitis C virus testing is recommended for people at high risk for infection, including those with substance use disorders. Little is known about the cascade of hepatitis C virus care (including testing, diagnosis, and treatments) among patients with substance use disorders in real-world clinical practice. This study aims to characterize the hepatitis C virus cascade of care and identify the factors associated with hepatitis C virus testing and diagnosis among Florida Medicaid beneficiaries with substance use disorders.

METHODS

A retrospective cohort analysis of Florida Medicaid data (2013-2018) was conducted in 2020 for patients aged 18-64 years with newly diagnosed substance use disorders (year 2012 was used to ascertain 1-year previous enrollment). A generalized estimating equation identified the factors associated with hepatitis C virus testing; a multivariable logistic model identified the factors associated with hepatitis C virus diagnosis.

RESULTS

Of the 156,770 patients with substance use disorders, 18% were tested for hepatitis C virus at least once. Among the tested patients, 8% had hepatitis C virus diagnoses. Among the 2,177 patients having a hepatitis C virus diagnosis, 11% initiated hepatitis C virus treatments, and 96% of them completed the hepatitis C virus treatments. Factors associated with being less likely to receive hepatitis C virus testing included being male (AOR=0.73, 95% CI=0.71, 0.75) and White (AOR=0.85, 95% CI=0.83, 0.87), whereas individuals who were male (AOR=1.49, 95% CI=1.35, 1.66) and White (AOR=2.71, 95% CI=2.38, 3.08) were more likely to be diagnosed with hepatitis C virus. The odds of receiving hepatitis C virus testing significantly increased annually (AOR=1.06, 95% CI=1.05, 1.07).

CONCLUSIONS

Future studies are warranted to investigate the barriers to access hepatitis C virus testing and treatment among Florida Medicaid beneficiaries with substance use disorders, especially for White male individuals.

A facilitation model for implementing quality improvement practices to enhance outpatient substance use disorder treatment outcomes: a stepped-wedge randomized controlled trial study protocol

Background

The misuse of and addiction to opioids is a national crisis that affects public health as well as social and economic welfare. There is an urgent need for strategies to improve opioid use disorder treatment quality (e.g., 6-month retention). Substance use disorder treatment programs are challenged by limited resources and a workforce that does not have the requisite experience or education in quality improvement methods. The purpose of this study is to test a multicomponent clinic-level intervention designed to aid substance use disorder treatment clinics in implementing quality improvement processes to improve high-priority indicators of treatment quality for opioid use disorder.

Methods

A stepped-wedge randomized controlled trial with 30 outpatient treatment clinics serving approximately 2000 clients with opioid use disorder each year will test whether a clinic-level measurement-driven, quality improvement intervention, called Coaching for Addiction Recovery Enhancement (CARE), improves (a) treatment process quality measures (use of medications for opioid use disorder, in-treatment symptom and therapeutic progress, treatment retention) and (b) recovery outcomes (substance use, health, and healthcare utilization). The CARE intervention will have the following components: (1) staff clinical training and tools, (2) quality improvement and change management training, (3) external facilitation to support implementation and sustainability of quality improvement processes, and (4) an electronic client-reported treatment progress tool to support data-driven decision making and clinic-level quality measurement. The study will utilize multiple sources of data to test study aims, including state administrative data, client-reported survey and treatment progress data, and staff interview and survey data.

Discussion

This study will provide the field with a strong test of a multicomponent intervention to improve providers’ capacity to make systematic changes tied to quality metrics. The study will also result in training and materials that can be shared widely to increase quality improvement implementation and enhance clinical practice in the substance use disorder treatment system.

Trial registration

Trial #NCT04632238NCT04632238 registered at clinicaltrials.gov on 17 November 2020

Hepatitis C Virus Screening among Medicaid-Insured Individuals with Opioid Use Disorder across Substance Use Disorder Treatment Settings

Objective: Although the rapid increase in opioid use disorders (OUD) and concurrent increase in Hepatitis C virus (HCV) in the United States is well-documented, little is known about HCV testing among high-risk populations. We examine patterns of HCV testing across OUD treatment settings for individuals with OUD in New York. Methods: Using 2014 New York Medicaid claims data, we identified OUD diagnosis, OUD treatment (methadone, buprenorphine, naltrexone, other treatment (inpatient or outpatient non-medication-based psychosocial treatment, such as psychotherapy) and no treatment) utilization and HCV-testing status among beneficiaries. We performed multivariable logistic regression to identify factors associated with HCV screening across OUD treatment settings. Results: 79,764 individuals with OUD diagnoses were identified in 2014. The prevalence of HCV screening was 32.4%, 16.2%, 20.6%, 16.8%, and 18.1% for those receiving methadone, buprenorphine, naltrexone, other treatment, and no treatment, respectively. In the adjusted logistic regression, those receiving any OUD treatment had greater odds of being screened, with the highest odds among methadone clients. Conclusions: Engagement in medication for OUD is associated with increased HCV testing. Findings indicate the importance of access to medication-based treatment for OUD and a need to further improve HCV screening rates.

Factors Associated With Testing for Hepatitis C Infections Among a Commercially Insured Population of Persons With HIV, United States 2008-2016

Background

Hepatitis C virus (HCV) infection is an important public health problem among people with HIV. People with HIV who are coinfected with HCV infection are at increased risk for cirrhosis, liver failure, and hepatitis C-related mortality; as such, national guidelines recommend that persons with HIV be tested for HCV infection.

Methods

Data from the 2003-2017 IBM Watson Health MarketScan database were used for this study. We used diagnostic, procedural, and drug codes to identify patients with ≥1 inpatient or outpatient medical claim of HIV diagnosis. Patients with prior HIV or hepatitis C diagnoses were excluded. We calculated hepatitis C testing rates among newly diagnosed HIV-infected persons within 12 months of the initial HIV diagnosis date (January 1, 2008-December 31, 2016). We used Poisson regression to identify the factors associated with hepatitis C testing. Lastly, we assessed hepatitis C testing trends using the Cochran-Armitage test.

Results

The prevalence of testing for hepatitis C in newly identified persons with HIV (n = 46 277) was 50% within 12 months of the index HIV diagnosis. From 2008 to 2017, the testing rate increased by 13%. Significant predictors of hepatitis C testing were age, sex, and urbanicity. Women with HIV were less likely to have been tested compared with men (relative risk, 0.79; 95% CI, 0.77-0.81). Only 40% of patients between 50 and 59 years of age were tested for hepatitis C within 12 months of the index HIV diagnosis, while 56% of persons with HIV aged 20-29 years were tested for hepatitis C.

Conclusions

Overall, 50% of newly diagnosed HIV patients were tested for hepatitis C within 12 months of HIV diagnosis. Although there were increases in hepatitis C testing rates over the study period, there were missed opportunities to detect HCV infection among people newly diagnosed with HIV.

Impact of the Centers for Disease Control and Prevention Recommendation and State Law on Birth Cohort Hepatitis C Screening of New York City Medicaid Recipients

INTRODUCTION

The Centers for Disease Control and Prevention estimated that, during 1999-2008, people born in 1945-1965 (the baby boomer generation) represented approximately 75% of people infected with hepatitis C virus and 73% of hepatitis C virus-associated deaths and are at greatest risk for hepatocellular carcinoma and liver disease. In 2012, the Centers for Disease Control and Prevention recommended one-time hepatitis C virus screening for people born during 1945-1965. In addition, New York State enacted a Hepatitis C Virus Testing Law in 2014. This analysis assesses the impacts of the 2012 recommendation and 2014 New York State Testing Law on hepatitis C virus screening rates among New York City Medicaid-enrolled recipients born during 1945-1965.

METHODS

The eligible population was determined quarterly as the number of Medicaid recipients continuously enrolled for 12 months with neither a prior hepatitis C virus diagnosis nor antibody test since 2005. Quarterly screening rates during 2010-2017 were examined using interrupted time series analysis. Data were analyzed in 2018-2019.

RESULTS

In 2010-2017, the highest screening rate occurred in the quarter immediately after the law (33.64 per 1,000 Medicaid recipients). There was no change in screening rates after the Centers for Disease Control and Prevention recommendation and a significant increase after the New York State Law, which was not sustained.

CONCLUSIONS

Hepatitis C virus screening rates increased in the quarter after the 2014 New York State Hepatitis C Virus Testing Law became effective. Additional efforts are needed to screen baby boomers and people who were recently infected with hepatitis C virus related to opioid use.

Hepatitis C Screening Rates and Care Cascade in a Large US Insured Population, 2010-2016: Gaps to Elimination

Understanding the health care system's ability to move patients through the hepatitis C virus (HCV) care cascade from screening to treatment is essential for HCV elimination. This retrospective study describes real-world HCV screening rates and care cascade steps to identify gaps in care for patients with HCV in the United States. Eligible patients were aged ≥18 years as of the measurement year (calendar year between January 1, 2010-December 31, 2016) and were commercial and Medicare Advantage with Part D members in the Optum Research database with continuous health plan enrollment 5 years prior to and during the measurement year. Incident and prevalent screening rates were calculated for each measurement year. Care cascade steps were analyzed via Kaplan-Meier analysis and logistic regression among patients with a positive HCV ribonucleic acid test. Cohorts were selected based on birth year (pre-1945 birth cohort, 1945-1965 birth cohort, post-1965 birth cohort). Among the 1945-1965 birth cohort, incident and prevalent screening rates increased from 1.6% to 4.7% and 10% to 18%, respectively, from 2010 to 2016. The proportion of patients attaining each independent cascade step within 1 year of screening increased significantly over time for genotype testing (P = 0.0283) and receipt of treatment (P < 0.0001). Median time from screening to treatment decreased from 1627 days (95% CI 1335-1871) in 2010 to 282 days (95% CI 223-498) in 2015. HCV screening and completion of the care cascade has improved for certain patient populations; however, gaps remain, highlighting the urgent need to address barriers to meeting HCV elimination goals.

Hepatitis C in pregnant American Indian and Alaska native women; 2003-2015

Recent reports have found a rise in Hepatitis C virus (HCV) infection in reproductive age women in the USA. Surveillance data suggests one group that is at increased risk of HCV infection is the American Indian and Alaska Native population (AI/AN). Using the National Center for Health Statistics (NCHS) birth certificate and the Indian Health Services, Tribal, and Urban Indian (IHS) databases, we evaluated reported cases of HCV infection in pregnant women between 2003 and 2015. In the NCHS database, 38 regions consistently reported HCV infection. The percentage of mothers who were known to have HCV infection increased between 2011 and 2015 in both the AI/AN population (0.57% to 1.19%, p < 0.001) and the non-AI/AN population (0.21% to 0.36%, p < 0.001). The IHS database confirmed these results. Individuals with hepatitis B infection or intravenous drug use (IDU) had significantly higher odds of HCV infection (OR 16.4 and 17.6, respectively). In total, 62% of HCV-positive women did not have IDU recorded. This study demonstrates a significant increase in the proportion of pregnant women infected with HCV between 2003 and 2015. This increase was greater in AI/AN women than non-AI/AN women. This highlights the need for HCV screening and prevention in pregnant AI/AN women.

Short-Term Effects and Long-Term Cost-Effectiveness of Universal Hepatitis C Testing in Prenatal Care

OBJECTIVE

To estimate the clinical effects and cost-effectiveness of universal prenatal hepatitis C screening, and to calculate potential life expectancy, quality of life, and health care costs associated with universal prenatal hepatitis C screening and linkage to treatment.

METHODS

Using a stochastic individual-level microsimulation model, we simulated the lifetimes of 250 million pregnant women matched at baseline with the U.S. childbearing population on age, injection drug use behaviors, and hepatitis C virus (HCV) infection status. Modeled outcomes included hepatitis C diagnosis, treatment and cure, lifetime health care costs, quality-adjusted life years (QALY) and incremental cost-effectiveness ratios comparing universal prenatal hepatitis C screening to current practice. We modeled whether neonates exposed to maternal HCV at birth were identified as such.

RESULTS

Pregnant women with hepatitis C infection lived 1.21 years longer and had 16% lower HCV-attributable mortality with universal prenatal hepatitis C screening, which had an incremental cost-effectiveness ratio of $41,000 per QALY gained compared with current practice. Incremental cost-effectiveness ratios remained below $100,000 per QALY gained in most sensitivity analyses; notable exceptions included incremental cost-effectiveness ratios above $100,000 when assuming mean time to cirrhosis of 70 years, a cost greater than $500,000 per false positive diagnosis, or population HCV infection prevalence below 0.16%. Universal prenatal hepatitis C screening increased identification of neonates exposed to HCV at birth from 44% to 92%.

CONCLUSIONS

In our model, universal prenatal hepatitis C screening improves health outcomes in women with HCV infection, improves identification of HCV exposure in neonates born at risk, and is cost-effective.

Population-level Outcomes and Cost-Effectiveness of Expanding the Recommendation for Age-based Hepatitis C Testing in the United States

Background

The US Centers for Disease Control and Prevention and the U.S. Preventive Services Task Force recommend one-time hepatitis C virus (HCV) testing for persons born 1945-1965 and targeted testing for high-risk persons. This strategy targets HCV testing to a prevalent population at high risk for HCV morbidity and mortality, but does not include younger populations with high incidence. To address this gap and improve access to HCV testing, age-based strategies should be considered.

Methods

We used a simulation of HCV to estimate the effectiveness and cost-effectiveness of HCV testing strategies: 1) standard of care (SOC) - recommendation for one-time testing for all persons born 1945-1965, 2) recommendation for one-time testing for adults ≥40 years (≥40 strategy), 3) ≥30 years (≥30 strategy), and 4) ≥18 years (≥18 strategy). All strategies assumed targeted testing of high-risk persons. Inputs were derived from national databases, observational cohorts and clinical trials. Outcomes included quality-adjusted life expectancy, costs, and cost-effectiveness.

Results

Expanded age-based testing strategies increased US population lifetime case identification and cure rates. Greatest increases were observed in the ≥18 strategy. Compared to the SOC, this strategy resulted in an estimated 256,000 additional infected persons identified and 280,000 additional cures at the lowest cost per QALY gained (ICER = $28,000/QALY).

Conclusions

In addition to risk-based testing, one-time HCV testing of persons 18 and older appears to be cost-effective, leads to improved clinical outcomes and identifies more persons with HCV than the current birth cohort recommendations. These findings could be considered for future recommendation revisions.

Contact tracing for hepatitis C: The case for novel screening strategies as we strive for viral elimination

Contact tracing has been a key element of the public health response to infectious diseases for decades. These practices have been powerful in slowing the spread of tuberculosis, HIV, and other sexually transmitted infections. Despite success in other contexts, contact tracing for hepatitis C virus (HCV) has historically been considered infeasible because of a long asymptomatic period, which often makes it difficult to pinpoint the time of acquisition. Additionally, individuals may be reluctant to identify injecting partners because of stigma or fear of criminal repercussions. However, multiple factors - including the improved curability of HCV with advances in direct acting antiviral agents (DAAs), the implementation of age-based screening, and the current opioid epidemic -- have led to rapid changes in the landscape of HCV. HCV is increasingly concentrated among young people who inject drugs (PWID), many of whom are inadequately being reached by current screening practices. With the shift in the population most at risk for HCV and the fundamental changes in how we manage this disease, it's time to also rethink the public health response in identifying and informing those who may have been exposed. Contact tracing programs for HCV can augment existing screening strategies to provide curative treatment for patients and their partners, prevent reciprocal transmission of HCV between risk partners and within networks, and ultimately reach individuals who aren't yet engaged in healthcare and harm reduction. While there remain limitations to contact tracing for HCV, it has the potential to be a powerful tool in slowing the spread of the virus as we attempt to achieve viral elimination.

Evaluation of a Multifaceted Intervention to Reduce Health Disparities in Hepatitis C Screening: A Pre-Post Analysis

Hepatitis C virus (HCV) testing in persons born from 1945 to 1965 has had limited adoption despite guidelines, particularly among racial/ethnic minorities and socioeconomically disadvantaged patients, who have a higher prevalence of disease burden. We examined the effectiveness of a multifaceted intervention to improve HCV screening in a large safety-net health system. We performed a multifaceted intervention that included provider and patient education, an electronic medical record-enabled best practice alert, and increased HCV treatment capacity. We characterized HCV screening completion before and after the intervention. To identify correlates of HCV screening, we performed logistic regression for the preintervention and postintervention groups and used a generalized linear mixed model for patients observed in both preintervention and postintervention time frames. Before the intervention, 10.1% of 48,755 eligible baby boomer patients were screened. After the intervention, 34.6% of the 34,093 eligible baby boomers were screened (P < 0.0001). Prior to the intervention, HCV screening was lower among older baby boomers and providers with large patient panels and higher in high-risk subgroups including those with signs of liver disease (e.g., elevated transaminases, thrombocytopenia), human immunodeficiency virus-positive patients, and homeless patients. Postintervention, we observed increased screening uptake in older baby boomers, providers with larger patient panel size, and patients with more than one prior primary care appointment. Conclusion: Our multifaceted intervention significantly increased HCV screening, particularly among older patients, those engaged in primary care, and providers with large patient panels.

Leveraging the electronic health record to eliminate hepatitis C: Screening in a large integrated healthcare system

Highly efficacious and tolerable treatments that cure hepatitis C viral (HCV) infection exist today, increasing the feasibility of disease elimination. However, large healthcare systems may not be fully prepared for supporting recommended actions due to knowledge gaps, inadequate infrastructure and uninformed policy direction. Additionally, the HCV cascade of care is complex, with many embedded barriers, and a significant number of patients do not progress through the cascade and are thus not cured. The aim of this retrospective cohort study was to evaluate a large healthcare system's HCV screening rates, linkage to care efficiency, and provider testing preferences. Patients born during 1945-1965, not previously HCV positive or tested from within the Electronic Health Record (EHR), were identified given that three-quarters of HCV-infected persons in the United States are from this Birth Cohort (BC). In building this HCV testing EHR prompt, non-Birth Cohort patients were excluded as HCV-specific risk factors identifying this population were not usually captured in searchable, structured data fields. Once completed, the BC prompt was released to primary care locations. From July 2015 through December 2016, 11.5% of eligible patients (n = 9,304/80,556) were HCV antibody tested (anti-HCV), 3.8% (353/9,304) anti-HCV positive, 98.1% (n = 311/317) HCV RNA tested, 59.8% (n = 186/311) HCV RNA positive, 86.6% (161/186) referred and 76.4% (n = 123/161) seen by a specialist, and 34.1% (n = 42/123) cured of their HCV. Results from the middle stages of the cascade in this large healthcare system are encouraging; however, entry into the cascade-HCV testing-was performed for only 11% of the birth cohort, and the endpoint-HCV cure-accounted for only 22% of all infected. Action is needed to align current practice with recommendations for HCV testing and treatment given that these are significant barriers toward elimination.

Population-based screening of hepatitis C virus in the United States

PURPOSE OF REVIEW

This review summarized the recent evidence on the performance of population-based hepatitis C virus (HCV) screening, published and indexed to PubMed, in the Unite States during the 2-year window from 1 January 2017 to 31 December 2018.

RECENT FINDINGS

A majority of the selected articles in this review focused on the birth cohort 1945-1965 because of the HCV screening recommendations released after August 2012. However, the articles for the high-risk population applied to all ages because the recommendations for this specific population have remained largely unchanged since 1998. The reported rates of HCV screening varied substantially not only across the three different populations (i.e. general, underserved, and high-risk) but also within each population.

SUMMARY

More vigilant monitoring of HCV screening performance of younger birth cohorts is needed as these individuals have been experiencing a higher incidence of HCV infection than those in the birth cohort 1945-1965. In addition, to meet the goal of eliminating HCV infection as a US public health problem by 2030, significant improvement in more accurately and comprehensively reporting the trends in population-based HCV screening across different populations is warranted in the future.

Limited Coverage of Hepatitis C Virus Testing in the United States, 2013-2017

In the US household population, hepatitis C virus testing coverage marginally increased between 2013 and 2017 among persons born between 1966 and 1994 (13.2% to 16.8%) and persons born between 1945 and 1965 (12.3% to 17.3%). Testing coverage remains limited and sociodemographic disparities were observed in both populations.

Economically Efficient Hepatitis C Virus Treatment Prioritization Improves Health Outcomes

BACKGROUND

The total cost of treating the 3 million Americans chronically infected with hepatitis C virus (HCV) represents a substantial affordability challenge requiring treatment prioritization. This study compares the health and economic outcomes of alternative treatment prioritization schedules.

METHODS

We developed a multiyear HCV treatment budget allocation model to evaluate the tradeoffs of 7 prioritization strategies. We used optimization to identify the priority schedule that maximizes population net monetary benefit (NMB). We compared prioritization schedules in terms of the number of individuals treated, the number of individuals who progress to end-stage liver disease (ESLD), and population total quality-adjusted life years (QALYs). We applied the model to the population of treatment-naive patients with a total annual HCV treatment budget of US$8.6 billion.

RESULTS

First-come, first-served (FCFS) treats the fewest people with advanced fibrosis, prevents the fewest cases of ESLD, and gains the fewest QALYs. A schedule developed from optimizing population NMB prioritizes treatment in the first year to patients with moderate to severe fibrosis who are younger than 65 years, followed by older individuals with moderate to severe fibrosis. While this strategy yields the greatest population QALYs, prioritization by disease severity alone prevents more cases of ESLD. Sensitivity analysis indicated that the differences between prioritization schedules are greater when the budget is smaller. A 10% annual treatment price reduction enabled treatment 1 year sooner to several patient subgroups, specifically older patients and those with less severe liver fibrosis.

CONCLUSION

In the absence of a sufficient budget to treat all patients, explicit prioritization targeting younger people with more severe disease first provides the greatest health benefits. We provide our spreadsheet model so that decision makers can compare health tradeoffs of different budget levels and various prioritization strategies with inputs tailored to their population.

Impact of electronic reminder systems on hepatitis C screening in primary care

Screening for hepatitis C virus (HCV) was recommended in 2012 by the Centers for Disease Control (CDC) for the population born between 1946 and 1965. Reminder systems are effective at promoting HCV screening, but the yield of positive tests among various population subgroups and the linkage to specialty HCV treatment is not well understood. We sought to determine: (i) the effect of the CDC recommendation alone, and the effect of an electronic medical record (EMR) reminder on the proportion of the population screened; (ii) the yield of positive HCV tests as screening strategies have evolved, and according to a patient's history of serum aminotransferase testing; (iii) the proportion of positive cases followed up for HCV treatment. This retrospective cohort study included 60 000 primary care patients at a northeast US academic medical centre serving an urban and rural population in which an EMR reminder was instituted in 2014. Results demonstrated an increase in proportion tested for HCV from 12% prior to the CDC recommendation to 37% after the reminder system. The yield of positive HCV antibody (HCV Ab) tests decreased from 7% in the "case-finding" era to 1.6% after the EMR reminder prompted screening of a lower risk population (P < .001). Patients with a history of abnormal aminotransferase tests had a fivefold higher rate of positive HCV Ab testing (6.7% vs 1.5%, P < .001). Ninety per cent of patients with confirmed HCV infection were seen in specialty care.

Hepatitis C Testing Increased Among Baby Boomers Following The 2012 Change To CDC Testing Recommendations

In 2012 the Centers for Disease Control and Prevention recommended routine testing for hepatitis C for people born in the period 1945-65. Until now, the recommendation's impact on hepatitis C screening rates in the United States has not been fully understood. We used an interrupted time series with comparison group design to analyze hepatitis C screening rates in the period 2010-14 among 2.8 million commercially insured adults in the MarketScan database. Hepatitis C screening rates increased yearly between 2010 and 2014, from 1.65 to 2.59 per 100 person-years. A 49 percent increase in screening rates among people born during 1945-65 followed the release of the recommendation, but no such increase was observed among adults born after 1965. The effect among the target population was sustained, and by twenty-four months after the recommendation's release, screening rates had increased 106 percent. We conclude that the hepatitis C testing policy change resulted in significantly increased testing among the target population and may have decreased the magnitude of the hepatitis C epidemic.

Hepatitis C Screening in Commercially Insured U.S. Birth-cohort Patients: Factors Associated with Testing and Effect of an EMR-based Screening Alert

BACKGROUND AND OBJECTIVES

Hepatitis C virus (HCV) testing rates among U.S. birth-cohort patients have been studied extensively, limited data exists to differentiate birth-cohort screening from risk- or liver disease-based testing. This study aims to identify factors associated with HCV antibody (HCV-Ab) testing in a group of insured birth cohort patients, to determine true birth cohort testing rates, and to determine whether an electronic medical record (EMR)-driven Best Practice Alert (BPA) would improve birth cohort testing rates.

METHODS

All birth-cohort outpatients between 2010 and 2015 were identified. HCV-Ab test results, clinical, and demographic variables were extracted from the EMR, and factors associated with testing were analyzed by logistic regression. True birth-cohort HCV screening rates were determined by detailed chart review for all outpatient visits during one calendar month. An automated Best Practice Alert was used to identify unscreened patients at the point of care, and to prompt HCV testing. Screening rates before and after system-wide implementation of the BPA were compared.

RESULTS

The historic HCV-Ab testing rate was 11.2% (11,976/106,753). Younger age, female gender, and African American, Asian, or Hispanic ethnicity, and medical comorbidities such as chronic hemodialysis, HIV infection, and rheumatologic and psychiatric comorbidities were associated with higher testing rates. However, during the one-month sampling period, true age cohort-based testing was performed in only 69/10,089 patients (0.68%). Following the system-wide implementation of the HCV BPA, testing rates increased from 0.68% to 10.76% (P<0.0001).

CONCLUSIONS

We documented low HCV-Ab testing rates in our baby boomers population. HCV testing was typically performed in the presence of known risk factors or established liver disease. The implementation of an EMR-based HCV BPA resulted in a marked increase in testing rates. Our study highlights current HCV screening gaps, and the utility of the EMR to improve screening rates and population health.

Increasing hepatitis C screening in a large integrated health system: science and policy in concert

OBJECTIVES

To evaluate whether the updated 2013 US Preventive Services Task Force (USPSTF) hepatitis C virus (HCV) screening recommendations, related Affordable Care Act provisions, and the impending availability of efficacious therapies were associated with increased screening in an integrated health system.

STUDY DESIGN

We analyzed 665,339 records of adult patients visiting Kaiser Permanente Mid-Atlantic States clinics from 2003 to 2014.

METHODS

We used Cox proportional hazards to estimate time to HCV screening and confirmation after June 1, 2013, compared with prior.

RESULTS

HCV screening steadily increased over time, but it jumped 29% (P <.01) from 2013 to 2014 versus 4% (P <.01) from 2012 to 2013. The adjusted hazard ratio for HCV screening since June 2013 was 2.40 (95% CI, 2.34-2.47) times higher than it was pre-intervention among the birth cohort (those born 1945-1965) and 2.00 (95% CI, 1.96-2.04) times higher in those born in other years, representing a 1.20-fold (95% CI, 1.17-1.24) greater increase in the screening rate among the birth cohort. We also identified variability in those thought to be at higher risk of HCV infection.

CONCLUSIONS

HCV screening has been increasing in our healthcare system, more so since June 2013 and among the birth cohort. The availability of efficacious therapies and coverage policies coincident with the USPSTF recommendations may have facilitated access to screening and treatment in ways that were absent at the time of the 2012 CDC recommendations. Health systems must also be poised to make resources available to clinicians and patients in order to incentivize screening. Future research should inform a better understanding of incentives and barriers to screening and linkage to care from all stakeholder perspectives.

Monitoring the hepatitis C care cascade using administrative claims data

OBJECTIVES

With the availability of curative therapies, it is important to ensure that individuals infected with hepatitis C virus (HCV) receive recommended testing, care, and treatment. We sought to evaluate insurance claims data as a source for monitoring progression along the HCV care cascade.

STUDY DESIGN

Longitudinal evaluation of disease progression, from diagnosis to treatment, among commercially insured enrollees with chronic HCV.

METHODS

We validated and used algorithms derived from standardized procedure and diagnosis codes to identify enrollees with chronic HCV in large insurance claims databases to describe the HCV care cascade, including the proportion engaged in HCV-specific care (13 possible definitions), the proportion prescribed HCV treatment, and the proportion who received an HCV RNA test 30 or more days after initiating treatment.

RESULTS

Approximately 90% of individuals with an HCV RNA test procedure code followed by either 3 or more chronic HCV diagnosis codes on different service dates or 2 or more chronic HCV diagnosis codes separated by more than 60 days truly had chronic HCV. Using these algorithms, we identified 5791 HCV cases from January 1, 2013, to June 30, 2014. Among enrollees with HCV, 95% were engaged in HCV care, but only 49% initiated treatment and 43% received a follow-up HCV RNA test 30 or more days after initiating treatment.

CONCLUSIONS

With validated case-finding algorithms, insurance claims data can be used to describe and monitor portions of the HCV care cascade. Although nearly all enrollees with HCV were engaged in HCV care, only half received treatment, indicating that even commercially insured enrollees may find it challenging to access treatment.