Time Costs and Out-of-Pocket Costs in Patients With Chronic Hepatitis C in a Publicly Funded Health System.

OBJECTIVES: Chronic hepatitis C (CHC) infection affects more than 70 million people worldwide and imposes considerable health and economic burdens on patients and society. This study estimated 2 understudied components of the economic burden, patient out-of-pocket (OOP) costs and time costs, in patients with CHC in a tertiary hospital clinic setting and a community clinic setting. METHODS: This was a multicenter, cross-sectional study with hospital-based (n = 174) and community-based (n = 101) cohorts. We used a standardized instrument to collect healthcare resource use, time, and OOP costs. OOP costs included patient-borne costs for medical services, nonprescription drugs, and nonmedical expenses related to healthcare visits. Patient and caregiver time costs were estimated using an hourly wage value derived from patient-reported employment income and, where missing, derived from the Canadian census. Sensitivity analysis explored alternative methods of valuing time. Costs were reported in 2020 Canadian dollars. RESULTS: The mean 3-month OOP cost was $55 (95% confidence interval [CI] $21-$89) and $299 (95% CI $170-$427) for the community and hospital cohorts, respectively. The mean 3-month patient time cost was $743 (95% CI $485-$1002) (community) and $465 (95% CI $248-$682) (hospital). The mean 3-month caregiver time cost was $31 (95% CI $0-$63) (community) and $277 (95% CI $174-$380) (hospital). Patients with decompensated cirrhosis bore the highest costs. CONCLUSIONS: OOP costs and patient and caregiver time costs represent a considerable economic burden to patient with CHC, equivalent to 14% and 21% of the reported total 3-month income for the hospital-based and community-based cohorts, respectively.

Cost-effectiveness and system-wide impact of using Hepatitis C-viremic donors for heart transplant.

BACKGROUND: The advent of direct-acting antiviral therapy for Hepatitis C (HCV) has made using HCV-viremic donors a viable strategy to address the donor shortage in heart transplantation. We employed a large-scale simulation to evaluate the impact and cost-effectiveness of using HCV-viremic donors for heart transplant. METHODS: We simulated detailed histories from time of listing until death for the real-world cohort of all adults listed for heart transplant in the United States from July 2014 to June 2019 (n = 19,346). This population was imputed using historical data and captures "real-world" heterogeneity in geographic and clinical characteristics. We estimated the impact of an intervention in which all candidates accept HCV+ potential donors (n = 472) on transplant volume, waitlist outcomes, and lifetime costs and quality-adjusted life years (QALYs). RESULTS: The intervention produced 232 more transplants, 132 fewer delistings due to deterioration, and 50 fewer waitlist deaths within this 5-year cohort and reduced wait times by 3% to 11% (varying by priority status). The intervention was cost-effective, adding an average of 0.08 QALYs per patient at a cost of $124 million ($81,892 per QALY). DAA therapy and HCV care combined account for 11% this cost, with the remainder due to higher costs of transplant procedures and routine post-transplant care. The impact on transplant volume varied by blood type and region and was correlated with donor-to-candidate ratio (ρ = 0.71). CONCLUSIONS: Transplanting HCV+ donor hearts is likely to be cost-effective and improve waitlist outcomes, particularly in regions and subgroups experiencing high donor scarcity.

Health care costs associated with hepatitis C virus infection in First Nations populations in Ontario: a retrospective matched cohort study.

BACKGROUND: Colonization and marginalization have affected the risk for and experience of hepatitis C virus (HCV) infection for First Nations people in Canada. In partnership with the Ontario First Nations HIV/AIDS Education Circle, we estimated the publicly borne health care costs associated with HCV infection among Status First Nations people in Ontario. METHODS: In this retrospective matched cohort study, we used linked health administrative databases to identify Status First Nations people in Ontario who tested positive for HCV antibodies or RNA between 2004 and 2014, and Status First Nations people who had no HCV testing records or only a negative test result (control group, matched 2:1 to case participants). We estimated total and net costs (difference between case and control participants) for 4 phases of care: prediagnosis (6 mo before HCV infection diagnosis), initial (after diagnosis), late (liver disease) and terminal (6 mo before death), until death or Dec. 31, 2017, whichever occurred first. We stratified costs by sex and residence within or outside of First Nations communities. All costs were measured in 2018 Canadian dollars. RESULTS: From 2004 to 2014, 2197 people were diagnosed with HCV infection. The mean net total costs per 30 days of HCV infection were $348 (95% confidence interval [CI] $277 to $427) for the prediagnosis phase, $377 (95% CI $288 to $470) for the initial phase, $1768 (95% CI $1153 to $2427) for the late phase and $893 (95% CI -$1114 to $3149) for the terminal phase. After diagnosis of HCV infection, net costs varied considerably among those who resided within compared to outside of First Nations communities. Net costs were higher for females than for males except in the terminal phase. INTERPRETATION: The costs per 30 days of HCV infection among Status First Nations people in Ontario increased substantially with progression to advanced liver disease and finally to death. These estimates will allow for planning and evaluation of provincial and territorial population-specific hepatitis C control efforts.

Health care costs associated with chronic hepatitis C virus infection in Ontario, Canada: a retrospective cohort study.

BACKGROUND: High-quality estimates of health care costs are required to understand the burden of illness and to inform economic models. We estimated the costs associated with hepatitis C virus (HCV) infection from the public payer perspective in Ontario, Canada. METHODS: In this population-based retrospective cohort study, we identified patients aged 18-105 years diagnosed with chronic HCV infection in Ontario from 2003 to 2014 using linked administrative data. We allocated the time from diagnosis until death or the end of follow-up (Dec. 31, 2016) to 9 mutually exclusive health states using validated algorithms: no cirrhosis, no cirrhosis (RNA negative) (i.e., cured HCV infection), compensated cirrhosis, decompensated cirrhosis, hepatocellular carcinoma, both decompensated cirrhosis and hepatocellular carcinoma, liver transplantation, terminal (liver-related) and terminal (non-liver-related). We estimated direct medical costs (in 2018 Canadian dollars) per 30 days per health state and used regression models to identify predictors of the costs. RESULTS: We identified 48 239 patients with chronic hepatitis C, of whom 30 763 (63.8%) were men and 35 891 (74.4%) were aged 30-59 years at diagnosis. The mean 30-day costs were $798 (95% confidence interval [CI] $780-$816) (n = 43 568) for no cirrhosis, $661 (95% CI $630-$692) (n = 6422) for no cirrhosis (RNA negative), $1487 (95% CI $1375-$1599) (n = 4970) for compensated cirrhosis, $3659 (95% CI $3279-$4039) (n = 3151) for decompensated cirrhosis, $4238 (95% CI $3480-$4996) (n = 550) for hepatocellular carcinoma, $8753 (95% CI $7130-$10 377) (n = 485) for both decompensated cirrhosis and hepatocellular carcinoma, $4539 (95% CI $3746-$5333) (n = 372) for liver transplantation, $11 202 (95% CI $10 645-$11 760) (n = 3201) for terminal (liver-related) and $8801 (95% CI $8331-$9271) (n = 5278) for terminal (non-liver-related) health states. Comorbidity was the most significant predictor of total costs for all health states. INTERPRETATION: Our findings suggest that the financial burden of HCV infection is substantially higher than previously estimated in Canada. Our comprehensive, up-to-date cost estimates for clinically defined health states of HCV infection should be useful for future economic evaluations related to this disorder.

The challenges of administering a new treatment: the case of direct-acting antivirals for hepatitis C virus.

OBJECTIVES: We develop a patient prioritization scheme for treating patients infected with hepatitis C virus (HCV) and study under which scenarios it outperforms the current practices in Spain and Chile. STUDY DESIGN: We use simulation to evaluate the performance of prioritization rules under two HCV patient cohorts, constructed using secondary data of public records from Chile and Spain, during 2015-2016. METHODS: We use the results of a mathematical model, which determines individual optimal HCV treatment policies as an input for constructing a patient prioritization rule, when limited resources are present. The prioritization is based on marginal analysis on cost increases and health-outcome gains. We construct the Chilean and Spanish case studies and used Monte Carlo simulation to evaluate the performance of our methodology in these two scenarios. RESULTS: The resulting prioritizations for the Chilean and Spanish patients are similar, despite the significant differences of both countries, in terms of epidemiological profiles and cost structures. Furthermore, when resources are scarce compared with the number of patients in need of the new drug, our prioritization significantly outperforms current practices of treating sicker patients first, both in terms of cost and healthcare indicators: for the Chilean case, we have an increase in the quality-adjusted life years (QALYs) of 0.83 with a cost reduction of 8176 euros per patient, with a budget covering 2.5% of the patients in the cohort. This difference slowly decreases when increasing the available resources, converging to the performance indicators obtained when all patients are treated immediately: for the Spanish case, we have a decrease in the QALYs of 0.17 with a cost reduction of 1134 euros per patient, with a budget covering 20% of the patients in the cohort. CONCLUSION: Decision science can provide useful analytical tools for designing efficient public policies that can excel in terms of quantitative health performance indicators.

Treatment of Chronic Hepatitis C in Young Children Reduces Adverse Outcomes and Is Cost-Effective Compared with Deferring Treatment to Adulthood.

OBJECTIVE: To evaluate the cost-effectiveness of treating young children with chronic hepatitis C virus (HCV) with new direct-acting antivirals. STUDY DESIGN: A state-transition model of chronic HCV was developed to conduct a cost-effectiveness analysis comparing treatment at age 6 years vs delaying treatment until age 18 years. Model inputs were derived from recently conducted systematic reviews, published literature, and government statistics. Medical care costs were obtained from linked population level laboratory and administrative data (Ontario, Canada). Outcomes are expressed in expected quality-adjusted life-years and costs (CAD$). Analysis included a base-case to estimate the expected value and one-way and probabilistic sensitivity analyses to evaluate the impact of uncertainty of the model inputs. RESULTS: After 20 years, treating 10 000 children early would prevent 330 cases of cirrhosis, 18 cases of hepatocellular carcinoma, and 48 liver-related deaths. The incremental cost-effectiveness ratio of early treatment compared to delayed treatment was approximately $12 690/quality-adjusted life-years gained and considered cost-effective. Model results were robust to variation in fibrosis progression rates, disease state-based costs, treatment costs, and utilities. CONCLUSIONS: Delaying treatment until age 18 years results in an increased lifetime risk of late-stage liver complications. Early treatment in children is cost effective. Our work supports clinical and health policies that broaden HCV treatment access to young children.

Cost-Utility of All-Oral Direct-Acting Antiviral Regimens for the Treatment of Genotype 1 Chronic Hepatitis C Virus-Infected Patients in Hong Kong.

BACKGROUND: Direct-acting antivirals (DAAs) are entering the hepatitis C virus (HCV) treatment landscape in Hong Kong, prompting the need for cost-effectiveness evaluations of these interventions to enable optimal use of healthcare resources. AIMS: This study aimed to compare the cost-effectiveness of DAAs to standard-of-care pegylated interferon plus ribavirin (RBV) in treatment-naïve patients without significant liver fibrosis and to compare different DAAs in patients who are treatment-experienced and/or have advanced liver disease. METHODS: A Markov model was constructed to evaluate cost-effectiveness over a lifetime time horizon from the payer perspective. The target population was treatment-naïve and treatment-experienced HCV genotype 1 patients, stratified by degree of liver fibrosis. The model consists of 16 health states encompassing METAVIR fibrosis score (F0-F4), treatment success or failure, decompensated cirrhosis, hepatocellular carcinoma, liver transplant, and liver-related death. The proportions of patients achieving sustained virologic response were obtained from clinical trials. Other inputs were obtained from published and local data. The primary outcome was incremental cost-utility ratio for each DAA versus pegylated interferon + ribavirin and among different DAAs. RESULTS: In treatment-naïve F0-2 HCV patients, all DAAs were cost-effective in genotype 1a and daclatasvir + asunaprevir, elbasvir/grazoprevir, ledipasvir/sofosbuvir, and glecaprevir/pibrentasvir were cost-effective compared to pegylated interferon + ribavirin in genotype 1b. In genotypes 1a and 1b, treatment-experienced patients, and F3-4 patients, elbasvir/grazoprevir was the least costly DAA and economically dominant over most other DAAs. CONCLUSIONS: DAAs can be a cost-effective option for the treatment of genotype 1 HCV patients in Hong Kong, and elbasvir/grazoprevir is cost-effective.

Cost-effectiveness of sofosbuvir in hepatitis C genotype 1 infection in Germany: A reanalysis of published results.

OBJECTIVES: Recently, the results of two economic evaluations were published both of which seemingly demonstrate the cost-effectiveness of sofosbuvir-based regimens for the treatment of chronic hepatitis C genotype 1 infection in Germany. Both analyses were sponsored by the manufacturer of sofosbuvir and use a different methodology: Whereas one evaluation is based on a conventional cost-utility analysis, the other rests upon the efficiency-frontier method used by the German Institute for Quality and Efficiency in Health Care (IQWiG). The purpose of this study is to reanalysis the results of both economic evaluations in combination. DESIGN: Reanalysis of published decision modelling results. SETTING: Primary care in Germany. PARTICIPANTS: Patients with chronic hepatitis C genotype 1 infection (treatment-naïve and -experienced, cirrhotic and non-cirrhotic). INTERVENTIONS: Sofosbuvir, other anti-hepatitis C virus drugs, and no treatment. PRIMARY AND SECONDARY OUTCOME MEASURES: Cost per unit of health benefit and cost per quality-adjusted life year. RESULTS: Reanalysis of the results of both economic evaluations in combination reveals an unclear rationale for choosing the selected cost-effectiveness methods as well as a potential publication bias, favoring the product of the manufacturer. Based on the reanalysis, sofosbuvir is not cost-effective in treatment-experienced non-cirrhotic patients, potentially lacks cost-effectiveness in treatment-experienced cirrhotic patients, and is only partially cost-effective in treatment-naïve non-cirrhotic patients. Taken together, these results indicate a lack of cost-effectiveness in three quarters of the German patient population. CONCLUSIONS: Two economic evaluations on sofosbuvir suggest, in combination, that sofosbuvir cannot be considered a cost-effective treatment in three quarters of the German patient population.

Cost-Utility Analysis of Direct-Acting Antivirals for Treatment of Chronic Hepatitis C Genotype 1 and 6 in Vietnam.

OBJECTIVE: Very few cost-utility analyses have either evaluated direct-acting antivirals (DAAs) on hepatitis C virus (HCV) genotype 6 patients or undertaken societal perspective. Recently, DAAs have been introduced into the Vietnamese health insurance drug list for chronic hepatitis C (CHC) treatment without empirical cost-effectiveness evidence. This study was conducted to generate these data on DAAs among CHC patients with genotypes 1 and 6 in Vietnam. METHODS: A hybrid decision-tree and Markov model was employed to compare costs and quality-adjusted life-years (QALYs) of available DAAs, including (1) sofosbuvir/ledipasvir, (2) sofosbuvir/velpatasvir, and (3) sofosbuvir plus daclatasvir, with pegylated-interferon plus ribavirin (PR). Primary data collection was conducted in Vietnam to identify costs and utility values. Incremental cost-effectiveness ratios were estimated from societal and payer perspectives. Uncertainty and scenario analyses and value of information analyses were performed. RESULTS: All DAAs were cost-saving as compared with PR in CHC patients with genotypes 1 and 6 in Vietnam, and sofosbuvir/velpatasvir was the most cost-saving regimen, from both societal and payer perspectives. From the societal perspective, DAAs were associated with the increment of quality-adjusted life-years by 1.33 to 1.35 and decrement of costs by $6519 to $7246. Uncertainty and scenario analyses confirmed the robustness of base-case results, whereas the value of information analyses suggested the need for further research on relative treatment efficacies among DAA regimens. CONCLUSIONS: Allocating resources for DAA treatment for HCV genotype 1 and 6 is surely a rewarding public health investment in Vietnam. It is recommended that the government rapidly scale up treatment and enable financial accessibility for HCV patients.

Cost-effectiveness of Universal and Targeted Hepatitis C Virus Screening in the United States.

Importance: Between 2 and 3.5 million people live with chronic hepatitis C virus (HCV) infection in the US, most of whom (approximately 75%) are not aware of their disease. Despite the availability of effective HCV treatment in the early stages of infection, HCV will result in thousands of deaths in the next decade in the US. Objective: To investigate the cost-effectiveness of universal screening for all US adults aged 18 years or older for HCV in the US and of targeted screening of people who inject drugs. Design, Setting, and Participants: This simulated economic evaluation used cohort analyses in a Markov model to perform a 10 000-participant Monte Carlo microsimulation trail to evaluate the cost-effectiveness of HCV screening programs, and compared screening programs targeting people who inject drugs with universal screening of US adults age 18 years or older. Data were analyzed in December 2019. Exposures: Cost per quality-adjusted life-year (QALY). Main Outcomes and Measures: Cost per QALY gained. Results: In a 10 000 Monte Carlo microsimulation trail that compared a baseline of individuals aged 40 years (men and women) and people who inject drugs in the US, screening and treatment for HCV were estimated to increase total costs by $10 457 per person and increase QALYs by 0.23 (approximately 3 months), providing an incremental cost-effectiveness ratio of $45 465 per QALY. Also, universal screening and treatment for HCV are estimated to increase total costs by $2845 per person and increase QALYs by 0.01, providing an incremental cost-effectiveness ratio of $291 277 per QALY. Conclusions and Relevance: The findings of this study suggest that HCV screening for people who inject drugs may be a cost-effective intervention to combat HCV infection in the US, which could potentially decrease the risk of untreated HCV infection and liver-related mortality.

Cost-effectiveness analysis of chronic hepatitis C treatment in the prison population in Spain.

OBJECTIVES: To evaluate the cost-effectiveness of direct-acting antiviral (DAAs) treatment versus non-treatment in prisoners awaiting treatment for chronic hepatitis C (CHC) and to analyse the clinical and economic impact of the treatment on liver complications and mortality. MATERIAL AND METHOD: A lifetime Markov model was developed to simulate treatment and disease progression from an estimated cohort of 4,408 CHC prisoners treated with DAAs over 2 years (50% of patient each year) versus no treatment. In the treated cohort, a sustained viral response of 95% was associated. Patient characteristics, transition probabilities, utilities and costs (pharmacological and healthcare states) were obtained from published literature. The model estimated healthcare costs and benefits, incremental cost-utility ratio (ICUR) based on total costs and the quality-adjusted life year (QALY) and avoided clinical events. A National Healthcare System perspective was adopted with a 3% annual discount rate for both costs and health outcomes. Sensitivity analyses were performed to assess uncertainty. RESULTS: In the DDA treated cohort, the model estimated a decrease of 92% of decompensated cirrhosis and 83% of hepatocellular carcinoma, 88% liver-related mortality cases were reduced, 132 liver transplants were avoided. The treatment achieved an additional 5.0/QALYs (21.2 vs. 16.2) with an incremental cost of €3,473 (€24,088 vs. €20,615) per patient with an ICUR of €690 per QALY gained. DISCUSSION: Considering the willingness-to-pay threshold used in Spain (€22,000-30,000/QALY), DAAs treatment for prisoners with CHC is a highly cost-effective strategy, reduces infection transmission, increases survival and reduces complications due to liver disease, as well as the cost associated with its management.

Cost and Effectiveness of the Treatment of Chronic Hepatitis C in Brazil: Real-World Data.

OBJECTIVES: To introduce and discuss the cost and effectiveness of using sofosbuvir, daclatasvir, and simeprevir antivirals, in combination or not with peginterferon alfa and ribavirin, for the treatment of hepatitis C, as based on real-world data. METHODS: We analyzed the treatment and outcomes of 253 patients from a retrospective cohort held in a specialized assistance service in the municipality of Porto Alegre, Brazil. Regarding costs, we considered only the direct costs of the antiviral medications per unit (pills), according to the financial receipts of the public procurements. We calculated the total cost of treatment per individual and the cost per cure expressed in sustained virologic response (SVR). RESULTS: Most patients (66.8%) were carriers of the genotype 1 of hepatitis, and 92.9% reached the SVR. The average cost of the treatment for genotype-1 patients was $5,862.31 USD per patient and $6,310.34 for the cure; for genotype-3 patients, on the other hand, the cost was $5,144.27 per patient and $5,974.76 for the cure. The drugs purchasing cost was around 40% less than was estimated for the process of incorporating them into the public health system. CONCLUSION: The results indicated that good rates of effectiveness were achieved with different combinations of the medicines. The costs of the medicines were still deemed too high for the Brazilian reality, however. Therefore the results contribute to support the formulation and review of public policies based on strong evidence and on real-world data for the treatment of hepatitis C.

Hepatitis C Management at Federally Qualified Health Centers during the Opioid Epidemic: A Cost-Effectiveness Study.

BACKGROUND: The opioid epidemic has been associated with an increase in hepatitis C virus (HCV) infections. Federally qualified health centers (FQHCs) have a high burden of hepatitis C disease and could serve as venues to enhance testing and treatment. METHODS: We estimated clinical outcomes and the cost-effectiveness of hepatitis C testing and treatment at US FQHCs using individual-based simulation modeling. We used individual-level data from 57 FQHCs to model 9 strategies, including permutations of HCV antibody testing modality, person initiating testing, and testing approach. Outcomes included life expectancy, quality-adjusted life-years (QALY), hepatitis C cases identified, treated and cured; and incremental cost-effectiveness ratios. RESULTS: Compared with current practice (risk-based with laboratory-based testing), routine rapid point-of-care testing initiated and performed by a counselor identified 68% more cases after (nonreflex) RNA testing in the first month of the intervention and led to a 17% reduction in cirrhosis cases and a 22% reduction in liver deaths among those with cirrhosis over a lifetime. Routine rapid testing initiated by a counselor or a clinician provided better outcomes at either lower total cost or at lower cost per QALY gained, when compared with all other strategies. Findings were most influenced by the proportion of patients informed of their anti-HCV test results. CONCLUSIONS: Routine anti-HCV testing followed by prompt RNA testing for positives is recommended at FQHCs to identify infections. If using dedicated staff or point-of-care testing is not feasible, then measures to improve immediate patient knowledge of antibody status should be considered.

Cost-utility analysis of interferon-free treatments for patients with early-stage genotype 1 hepatitis C virus in Brazil.

INTRODUCTION: We conducted a cost-utility analysis of available interferon-free treatments for patients with early-stage genotype 1 chronic hepatitis C based on a Brazilian public health system perspective. METHODS: A Markov model was derived using a cohort of stage F0-F2 patients treated as recommended by the Brazilian national guidelines. RESULTS: Glecaprevir plus pibrentasvir was superior to all other treatments, followed by sofosbuvir plus velpatasvir. Sofosbuvir plus daclatasvir was identified as the least cost-effective option. CONCLUSIONS: The above findings were confirmed via probabilistic sensitivity analysis and the tested scenarios.

Changes in Cost-Effectiveness for Chronic Hepatitis C Virus Pharmacotherapy: The Case for Continuous Cost-Effectiveness Analyses.

BACKGROUND: Cost-effectiveness evaluations for hepatitis C virus (HCV) treatments have been published frequently, but new products with significant cost and effectiveness differences make these analyses obsolete. How valuable are economic models for a fixed time period in a dynamic market? OBJECTIVE: To estimate the cost-effectiveness of the best available HCV treatment at different points in time, using the same comparator to demonstrate how rapid innovation in a disease area influences economic outcomes. METHODS: A Markov model was used to calculate the cost-effectiveness of treatment in 2010, 2012, 2014, 2016, and 2018 compared with a standard comparator (no treatment) from the payer perspective. Expected drug costs and treatment effectiveness estimates for sustained virologic response (SVR) were calculated using recommended regimens for each of the 6 HCV genotypes at each time point and distribution of genotypes in the United States. Patients entered the model with different stages of fibrosis. Utility estimates for each health state were used to calculate quality-adjusted life-years (QALYs) earned at each cycle. Incremental cost-effectiveness ratios were reported for each year to compare the "treatment versus no treatment" decision at that time. RESULTS: No HCV treatment resulted in a gain of 11.54 QALYs over a 20-year time horizon at a cost of $42,938. Costs for treated groups were $69,075, $123,267, $125,431, $86,782, and $56,470 for the 2010, 2012, 2014, 2016, and 2018 scenarios, respectively. QALYs gained for treated groups were 12.90, 12.97, 13.34, 13.39, and 13.46 for the 2010, 2012, 2014, 2016, and 2018 scenarios, respectively. The incremental cost-effectiveness ratios in each year compared with no treatment were $19,218 per QALY, $56,104 per QALY, $45,829 per QALY, $23,699 per QALY, and $7,048 per QALY. CONCLUSIONS: Treatment effectiveness for HCV has increased steadily, while treatment costs increased substantially from 2010-2014 before decreasing to its lowest point in 2018. Thus, the dynamic nature of innovation creates the need for iterative cost-effectiveness analyses. DISCLOSURES: No outside funding supported this study. Mattingly reports unrelated consulting from the National Health Council, Bristol Myers Squibb, G&W Laboratories, Allergy and Asthma Foundation of American, and the Massachusetts Health Policy Commission. Love reports an unrelated research grant from the American Cancer Society.

Progress Toward Hepatitis C Virus Elimination: Therapy and Implementation.

The World Health Organization has called for the elimination of hepatitis C virus (HCV) as a public health threat by 2030. Highly effective direct-acting antiviral agents provide the therapeutic tools required for elimination. In the absence of a vaccine, HCV elimination will require enhanced primary prevention and an increase in the proportions of people diagnosed and treated. Given that globally only 20% of people with chronic HCV are diagnosed, and around 5% have initiated HCV treatment, the task ahead is enormous. But, global public health needs optimism, and countries currently on track for HCV elimination provide a pathway forward.

Cost-Effectiveness Analysis of Baseline Testing for Resistance-Associated Polymorphisms to Optimize Treatment Outcome in Genotype 1 Noncirrhotic Treatment-Naïve Patients With Chronic Hepatitis C Virus.

OBJECTIVES: Direct-acting antivirals containing nonstructural protein 5A (NS5A) inhibitors administered over 8 to 12 weeks are effective in ∼95% of patients with hepatitis C virus. Nevertheless, patients resistant to NS5A inhibitors have lower cure rates over 8 weeks (<85%); for these patients, 12 weeks of treatment produces cure rates greater than 95%. We evaluated the lifetime cost-effectiveness of testing for NS5A resistance at baseline and optimizing treatment duration accordingly in genotype 1 noncirrhotic treatment-naïve patients from the perspective of the UK National Health Service. METHODS: A decision-analytic model compared (1) standard 12-week treatment (no testing), (2) shortened 8-week treatment (no testing), and (3) baseline testing with 12-/8-week treatment for those with/without NS5A polymorphisms. Patients who failed first-line therapy were retreated for 12 weeks. Model inputs were derived from published studies. Costs, quality-adjusted life-years, and the probability of cost-effectiveness were calculated. RESULTS: Baseline testing had an incremental net monetary benefit (INMB) of £11 838 versus standard 12 weeks of therapy (no testing) and low probability (31%) of being the most cost-effective, assuming £30 000 willingness to pay. Shortened 8 weeks of treatment (no testing) had an INMB of £12 294 and the highest probability (69%) of being most cost-effective. Scenario analyses showed baseline testing generally had the highest INMB and probability of being most cost-effective if first- and second-line drug prices were low (<£20k). CONCLUSIONS: Optimizing treatment duration based on NS5A polymorphisms for genotype 1 noncirrhotic treatment-naive patients in the United Kingdom is not cost-effective if the drug costs are high; the strategy is generally most cost-effective when drug prices are low (<£20k).

Cost-effectiveness analysis is a mandatory strategy for health systems: evidence from a study involving therapies for hepatitis C.

Cost-effectiveness analysis is essential in health decision making. Several countries use it as synthesis of evidence to incorporate health technologies. The protease inhibitors (PI) boceprevir (BOC) and telaprevir (TVR) are indicated for chronic hepatitis C treatment and were incorporated in guidelines worldwide. Pre-marketing clinical trials showed higher sustained virological response rates in relation to previous therapies, but the incorporation of PIs generated a significant financial impact. The aim of this study was to discuss the relevance of cost-effectiveness analysis through a study that involved the inclusion of PIs in a clinical protocol. The analysis was part of a real-life study that included patients infected with hepatitis C virus genotype 1 treated in a tertiary university hospital in Brazil. Triple therapies (TT) with ribavirin (RBV), peginterferon α-2a (Peg-INF α-2a) and BOC or TVR were compared to dual therapy with RBV and Peg-INF α-2a. Sensitivity analysis of the cost-effectiveness ratio indicated an 88.2% chance of TTs presenting a higher cost per cure. The incremental cost-effectiveness ratios (ICER) exceeded the Brazilian gross domestic product (GDP) per capita by three times in all proposed scenarios. The sensitivity of ICER showed an 88.4% chance of TT not being cost-effective. The impact of PI incorporation was negative and the conduct about this could have been different if a previous cost-effectiveness analysis had been conducted.

Discontinuation of new hepatitis C drugs among Medicare patients.

OBJECTIVES: To examine factors associated with discontinuation of new hepatitis C drugs-second-generation direct-acting antivirals (DAAs)-among Medicare beneficiaries with chronic hepatitis C. STUDY DESIGN: A retrospective analysis using 2014-2016 Medicare claims. METHODS: The study population was patients with chronic hepatitis C in fee-for-service Medicare with Part D who initiated a DAA therapy between January 1, 2014, and September 1, 2016. We defined discontinuation of DAA therapy as filling prescriptions for fewer weeks than the expected duration of the DAA identified. We estimated adjusted odds ratios (aORs) of DAA discontinuation by patient characteristics using multivariable logistic regression. We estimated the model separately for patients with a Part D low-income subsidy (LIS) and those without an LIS. RESULTS: Of 82,056 patients who initiated a DAA therapy during the study period, 5171 (6.3%) did not complete the therapy. Discontinuation rates varied across DAAs, ranging from 4.7% (elbasvir/grazoprevir) to 11.8% (ombitasvir/paritaprevir/ritonavir/dasabuvir). Women with an LIS were more likely to discontinue DAA therapy than men with an LIS (aOR, 1.16; 95% CI, 1.08-1.25; P <.01). Non-LIS black and Hispanic patients had higher odds of discontinuation than non-LIS white patients (black: aOR, 1.49; 95% CI, 1.28-1.73; P <.01; Hispanic: aOR, 1.56; 95% CI, 1.01-2.44; P <.05). High comorbidity index score increased the odds of DAA discontinuation among patients with an LIS. CONCLUSIONS: Real-world discontinuation of DAA therapy was low, but it was 3 times more likely than in clinical trials and varied by patient characteristics. Efforts to increase DAA adherence would help lower patients' risk of developing resistance to future treatments and reduce potential waste of resources.

A Systematic Review and Meta-Analysis of Health Utilities in Patients With Chronic Hepatitis C.

BACKGROUND: Chronic hepatitis C (CHC) is among the most burdensome infectious diseases in the world. Health utilities are a valuable tool for quantifying this burden and conducting cost-utility analysis. OBJECTIVE: Our study summarizes the available data on utilities in CHC patients. This will facilitate analyses of CHC treatment and elimination strategies. METHODS: We searched MEDLINE, Embase, and the Cochrane Library for studies measuring utilities in CHC patients. Utilities were pooled by health state and utility instrument using meta-analysis. A further analysis used meta-regression to adjust for the effects of clinical status and methodological variation. RESULTS: Fifty-one clinical studies comprising 15 053 patients were included. Based on the meta-regression, patients' utilities were lower for more severe health states (predicted mean EuroQol-5D-3L utility for mild/moderate CHC: 0.751; compensated cirrhosis: 0.671; hepatocellular carcinoma: 0.662; decompensated cirrhosis: 0.602). Patients receiving interferon-based treatment had lower utilities than those on interferon-free treatment (0.647 vs 0.733). Patients who achieved sustained virologic response (0.786) had higher utilities than those with mild to moderate CHC. Utilities were substantially higher for patients in experimental studies compared to observational studies (coefficient: +0.074, P < .05). The time tradeoff instrument was associated with the highest utilities, and the Health Utilities Index 3 was associated with the lowest utilities. CONCLUSION: Chronic hepatitis C is associated with a significant impairment in global health status, as measured by health utility instruments. Impairment is greater in advanced disease. Experimental study designs yield higher utilities-an effect not previously documented. Curative therapy can alleviate the burden of CHC, although further research is needed in certain areas, such as the long-term impacts of treatment on utilities.