Publication

Article

The American Journal of Managed Care

December 2019
Volume25
Issue 12

Cost Burden of Hepatitis C Virus Treatment in Commercially Insured Patients

Rates of hepatitis C virus (HCV) treatment in a commercially insured population doubled after availability of new direct-acting antivirals. Member out-of-pocket spending was kept low while the health plan bore 99% of spending on HCV medications.

ABSTRACT

Objectives: New direct-acting antivirals (DAAs), introduced in late 2013, are effective for treating chronic hepatitis C virus (HCV) infection but may pose substantial financial burden on patients and health insurers. We examined HCV medication use and costs in a commercially insured population.

Study Design: Retrospective cohort study.

Methods: We used claims data for 3091 individuals with HCV infection (2012-2015). Outcomes included HCV medication use, inflation-adjusted out-of-pocket (OOP) and health plan spending, and predictors of receiving new DAAs.

Results: Cumulatively, 9% of members with a diagnosis of HCV were treated with HCV medications in 2012 and this increased to 32% in 2015. Of 3091, 589 received new DAAs and 80% (n = 465) completed a 12-week treatment regimen. After new DAAs became available, average annual health plan spending on HCV medications increased from $2869 to $16,504 per HCV-diagnosed member (relative change, 475%; 95% CI, 352%-598%), and OOP spending increased from $41 to $94 (relative change, 131%; 95% CI, 15%-247%). Age (being aged 50-64 years [adjusted odds ratio (aOR), 2.13; 95% CI, 1.29-3.53] and being ≥65 years [aOR, 2.01; 95% CI, 1.14-3.55] compared with being <30 years) and having liver cirrhosis (aOR, 3.34; 95% CI, 2.64-4.21) were positively associated with receiving new DAAs, and a diagnosis of alcohol abuse (aOR, 0.70; 95% CI, 0.53-0.92) was negatively associated with receiving new DAAs.

Conclusions: The proportion of a commercially insured population with HCV infection who were treated with HCV medications doubled within 2 years following availability of new DAAs. Member OOP spending was kept low while the health plan bore 99% of the cost of HCV medications. During our 2-year follow-up, we did not observe financial benefits to the health plan of the cure of HCV infection by new DAAs.

Am J Manag Care. 2019;25(12):e379-e387Takeaway Points

  • New direct-acting antivirals (DAAs) are effective for treating chronic hepatitis C virus (HCV) infection but may pose substantial economic burden on patients and health insurers.
  • The proportion of a commercially insured population with HCV infection who were treated with HCV medications doubled within 2 years following availability of new DAAs.
  • In this health plan, member out-of-pocket spending was kept low while the health plan bore 99% of the cost of HCV medications. In our 2-year follow-up period, we did not observe financial benefits to the health plan of the cure of HCV infection by new DAAs.

The arrival of direct-acting antivirals (DAAs) started a new era of treatment for patients with chronic hepatitis C virus (HCV) infection.1-3 An estimated 80 million to 150 million individuals worldwide, including about 3 million to 4 million in the United States, have chronic HCV infection.4,5 If left untreated, chronic HCV infection can lead to cirrhosis, liver failure, and hepatocellular carcinoma6,7; it is the leading cause of liver transplantation and death from liver disease.2,8

Sofosbuvir (Sovaldi), approved by the FDA in late 2013, was the first DAA indicated for treatment of HCV as part of an interferon-free regimen. In clinical trials, 12 weeks of treatment with sofosbuvir-based regimens achieved a sustained virologic response (“cure” or undetectable HCV RNA 12-24 weeks after therapy) rate of approximately 90% in patients with HCV. These regimens show much-improved tolerability and safety compared with poorly tolerated interferon-based therapy regimens that resulted in virologic response in only 20% to 30% of patients.9-11 Recurrent viremia (detectable HCV RNA at follow-up week 24 after achieving sustained virologic response) is extremely rare with sofosbuvir and ledipasvir/sofosbuvir (Harvoni) (12/3004 [0.4%] patients across 11 phase 3 trials12). Furthermore, adherence rates for DAAs are substantially higher than for interferon-based therapy (99.8% vs 36%-60%).13,14 Studies indicate that new DAAs are cost-effective in patients with HCV genotypes 1 through 5 at a threshold of $100,000 per quality-adjusted life-year.15,16 Since 2013, 8 other DAAs for HCV have been approved17 (eAppendix Figure 1 [eAppendix available at ajmc.com]).

The availability of DAAs helped to fuel the discourse about ever-rising spending on pharmaceuticals, driven by spending on specialty medications like DAAs.18,19 The published wholesale acquisition cost of sofosbuvir was $1000 per day in 2014 (or $84,000 for a 12-week course), with additional spending for required concomitant treatments. A single tablet of ledipasvir/sofosbuvir was available at a published price of $1125 ($63,000, $94,500, and $189,000 for an 8-, 12-, and 24-week course, respectively).20 Although the high prices of specialty drugs are widely recognized, there were enormous concerns that demand for expensive DAAs for treatment of a prevalent condition might “bust” the health system budget.21,22 Concerns about budgetary impact and the need to contain pharmaceutical spending growth led payers to restrict initial access to DAAs to patients with higher liver fibrosis scores. However, even restricted subsidized access to DAAs could translate into substantial pharmaceutical spending for healthcare payers and/or out-of-pocket (OOP) spending for patients. In a commercially insured population with HCV infection, we examined the utilization of HCV medications, and health plan and member spending on them, both before and after the first availability of DAAs.

METHODS

Setting and Data Source

Harvard Pilgrim Health Care (HPHC) is a commercial health plan serving approximately 1.25 million members23 in Connecticut, Maine, Massachusetts, and New Hampshire; of these, about 700,000 members are fully insured with pharmacy data accessible to HPHC. Through prior authorization policies, HPHC, like many other health plans, initially restricted access to new DAAs to members with more advanced disease. Criteria for approval in 2014 and 2015 included age at least 18 years; a diagnosis of genotype 1/1b, 2, 3, 4, 5, or 6; liver disease staging within the past 3 years; evidence of stage 2 or greater hepatic fibrosis; being in the care of a gastroenterologist, infectious disease specialist, or hepatologist; and provider attestation that the patient was not currently participating in illicit substance abuse or alcohol abuse, or that the patient was receiving substance or alcohol abuse counseling services as an adjunct to HCV treatment (eAppendix Table 1). Once ledipasvir/sofosbuvir entered the market in 2014, it was the preferred medication in this health plan over other DAAs unless appropriate clinical justification was provided.

The study population consisted of fully insured HPHC members. We identified a rolling cohort of individuals who had at least 1 claim with an HCV diagnosis code (International Classification of Diseases, Ninth Revision [ICD-9] code 070.44, chronic hepatitis C with hepatic coma; or 070.54,24 chronic hepatitis C without hepatic coma)25 between January 1, 2012, and September 30, 2015 (end of the ICD-9 coding era), and had evidence of pharmacy utilization (to ensure membership in a plan that included pharmacy coverage). We then grouped individuals by calendar year according to their periods of enrollment. Individuals were included in calendar year totals if they had at least 1 day of enrollment in that year; individuals could thus contribute to multiple years during their enrollment. We analyzed medical and pharmacy claims from January 1, 2012, through December 31, 2015.

Outcome Measures

We first calculated numbers of patients receiving at least 1 dispensing of old and/or new medications for HCV by calendar year and the total number of days supplied for each medication. Old HCV medications were boceprevir (Victrelis), telaprevir (Incivek), interferon and peginterferon, and ribavirin. New HCV medications included in our analysis were interferon-free regimens: daclatasvir dihydrochloride (Daklinza), ledipasvir/sofosbuvir (Harvoni), simeprevir sodium (Olysio), sofosbuvir (Sovaldi), ombitasvir/paritaprevir/ritonavir (Technivie), and ombitasvir/paritaprevir/ritonavir/dasabuvir sodium (Viekira Pak). Our analysis did not include elbasvir/grazoprevir (Zepatier), sofosbuvir/velpatasvir (Epclusa), sofosbuvir/velpatasvir/voxilaprevir (Vosevi), and glecaprevir/pibrentasvir (Mavyret) because they were approved by the FDA after the end of our study period.

We assessed the percentage market share (ie, percentage of pharmaceutical spending) for HCV medications overall and for individual products. Among the cohort of HCV-diagnosed individuals, we calculated OOP and health plan spending for medical and pharmacy (HCV and non-HCV medications) services per member per month and per year. OOP spending included co-payments, coinsurance, and deductible amounts. We also calculated OOP spending among users of both old and new HCV medications.

Covariates

Demographic characteristics, derived from enrollment files, included age at time of first HCV diagnosis in the study period, gender, and health plan type (Medicare or commercial). Geographic measures of race/ethnicity, median household income, and education were derived from the 2015 American Community Survey 5-year estimates (2011-2015)26 based on an individual’s zip code. We classified members as residing in white, black, Hispanic, or other neighborhoods based on living in neighborhoods with 66% or more persons of the given race/ethnicity. We classified members from areas that did not fall into one of the race/ethnicity categories as residing in mixed race/ethnicity neighborhoods. We categorized median neighborhood household incomes in our study cohort in quartiles from lower to higher incomes. We classified members as residing in areas of high, middle, or low education level (ie, <15%, 15%-24.9%, or >25% of residents in the neighborhood areas with below-high-school education levels, respectively). Clinical characteristics (advanced liver disease, mental illness, and physical illness other than liver disease; see eAppendix Table 2 for codes) were derived from claims data using the same diagnosis code—based definitions as previous research.24,27

Analysis

We used time series plots to display trends in market share of individual new HCV medications and per-member per-month OOP and health plan spending. Spending was adjusted to 2015 US dollars using the Consumer Price Index.28 We tested for trend in yearly rates using time series regression with a significance level of P <.05. We used pre—post analysis to examine changes in spending per HCV-diagnosed member before (2012-2013) and after (2014-2015) the availability of new DAAs. In our generalized estimating equations model,29,30 we used marginal effects methods to calculate mean adjusted baseline and follow-up spending as well as absolute and relative changes. Our models adjusted for annual changes in member-level covariates (age, sex, median household income, race/ethnicity [black/white], any advanced liver disease, HIV, any substance abuse, any mental illness, and any physical illness) and for enrollment length using offset in the negative binomial distribution. Finally, we used univariate and multivariate logistic regression models to identify demographic and clinical predictors of receiving new HCV medications. We fit a parsimonious multivariate model including variables that were statistically significant at P <.05 in univariate analyses and retaining key demographic and clinical variables regardless of statistical significance (sex, income, education, race/ethnicity, any mental illness, any physical illness). All analyses were carried out using SAS software version 9.3 (SAS Institute; Cary, North Carolina) and STATA 14 (StataCorp; College Station, Texas). The study was approved by the HPHC Institutional Review Board.

RESULTS

Table 1 [part A and part B] describes study cohort characteristics, and eAppendix Figure 2 presents a cascading flowchart for construction of the cohorts. A total of 3091 HPHC members had at least 1 claim with an HCV diagnosis between January 1, 2012, and September 30, 2015, and evidence of pharmacy utilization during the study. The average age of the cohort was 52 years, and 66% were male. Almost one-fourth of the cohort lived in neighborhoods with median incomes below $51,835, and 78% lived in predominantly white and 78% in high-education neighborhoods.

Between 2012 and 2015, 1501 prior authorization applications for new HCV medications were submitted to the health plan. A total of 690 (46%) were approved. Lack of clinical supporting information or not meeting the fibrosis score criterion were the most common reasons for denial. A total of 164 appeals were received; of these, 53 applications (32%) were subsequently approved.

Table 2 summarizes prevalent use of both old and new HCV medications by year and medication. The proportion of members with treatment for chronic HCV infection increased from 9% in 2012 to 20% in 2015. Overall, 32% of the cohort received HCV medications during the study. A total of 589 members received new HCV medications. Of these, 79% (n = 465) members had sufficient supply to complete 12 weeks of new DAA therapy (another 41 individuals had medication availability that exceeded their enrollment period, but we were unable to determine duration of treatment).

eAppendix Figure 3 shows the market share of individual DAAs based on spending on HCV medications. Sofosbuvir (accounting for 68%) and ledipasvir/sofosbuvir (86%) were the most commonly used medications in 2014 and 2015, respectively. There was little use or no use of ombitasvir/paritaprevir/ritonavir, daclatasvir, ombitasvir/paritaprevir/ritonavir/dasabuvir, and simeprevir in this population. eAppendix Figure 4 shows the market share of individual DAAs based on numbers of patients treated.

eAppendix Table 3 and eAppendix Table 4 present average and median (with interquartile range) annual spending per HCV-diagnosed member, respectively. Following availability of new DAAs, average annual health plan spending on HCV medications increased from $2869 to $16,504 per HCV-diagnosed member (Table 3). In adjusted pre—post analyses, the absolute change was $13,635 per member per year (95% CI, $11,708-$15,562) and the relative change was 475% (95% CI, 352%-598%). Medical spending for HCV-diagnosed members by the health plan remained stable over time. Overall, the health plan contributed more than 99% of the spending on HCV medications both before and after the availability of new DAAs. The Figure [A] illustrates monthly trajectories of health plan spending per HCV-diagnosed member.

In this health plan, old HCV medications were generally on a lower tier of the pharmacy formulary (with an average co-payment of $27 per 30-day dispensing) whereas new DAAs were in a higher tier (with an average co-payment of $36 per 30-day dispensing). Some DAAs were “preferred” agents (eg, ledipasvir/sofosbuvir), thus coinsurance was not applied to these medications, keeping these medications more affordable than other specialty medications. Following availability of new DAAs, average yearly OOP spending on HCV medications increased from $41 to $94 per HCV-diagnosed member in the study population, with about 32% of members receiving HCV medications. In adjusted pre—post analyses, the absolute change was $53 (95% CI, $9-$97) per member per year and the relative change was 131% (95% CI, 15%-247%). Medical OOP spending did not change significantly following availability of new DAAs. The Figure [B] illustrates trends in monthly OOP spending trajectories per HCV-diagnosed member.

When we restricted analysis to only those receiving HCV medications, average annual OOP spending on HCV medications fell from $636 to $570 per user following availability of new DAAs, but this was not statistically significant (Table 3). In adjusted pre—post analyses, the absolute change was –$66 (95% CI, –$147 to $16) per user per year and the relative change was –10% (95% CI, –22% to 1.5%).

Table 4 presents multivariate regression results on predictors of receiving new DAAs. We found that age (being aged 50-64 years [adjusted odds ratio (aOR), 2.13; 95% CI, 1.29-3.53] and being ≥65 years [aOR, 2.01; 95% CI, 1.14-3.55] compared with being <30 years) and having liver cirrhosis (aOR, 3.34; 95% CI, 2.64-4.21) were positively associated with receiving new HCV medications. A diagnosis of alcohol abuse was negatively associated with receipt of new DAAs (aOR, 0.70; 95% CI, 0.53-0.92).

DISCUSSION

Our longitudinal study examined treatment of HCV infection in a commercially insured population before and after the initial availability of new and highly effective, but costly, DAAs. HCV medication uptake increased substantially following availability of new DAAs, which is not surprising given their high sustained virologic response rates and improved tolerability and safety compared with old HCV medications. In our study, almost 80% of individuals who initiated new DAAs may have completed a 12-week treatment regimen recommended for sustained virologic response, which is associated with lower risk of liver cancer and reductions in longer-term liver-related deaths or liver transplants.31-33 In our analysis, the identified predictors of receiving new DAAs largely reflected provider prescribing practice and insurance coverage policies for new DAAs at that time.

About half of the prior authorization applications were initially denied; failing to meet the fibrosis score requirement and missing clinical supporting information were the 2 main reasons for denial during the study period. When new DAAs first became available, severity of liver disease was a commonly used eligibility criterion for coverage with the intent to provide access to these expensive DAAs to the subgroup of patients with the highest immediate clinical need while managing resources.34,35 Following DAA treatment of the highest-risk patients, health plans modified reimbursement restrictions to enable broader access.36,37 The requirement of a high fibrosis score was later lifted by many payers,38 including the health plan in our study in 2016. In addition, the study health plan now allows prescribing of DAAs by nonspecialist physicians in consultation with a gastroenterologist, infectious disease specialist, or hepatologist to enhance patient access.39

However, the study health plan still requires providers to attest that the patient is not participating in illicit substance abuse or alcohol abuse, or is receiving substance or alcohol abuse counseling services as an adjunct to HCV treatment (this requirement is to be lifted in 2020). We found that having a diagnosis of substance abuse (specifically, alcohol abuse) was negatively associated with receiving new DAAs, which is not surprising given the reimbursement requirements. Alcohol consumption has been associated with more rapid fibrosis progression.40,41 Moreover, the risk of reinfection among HCV-infected individuals who inject drugs could lower the efficient use of finite resources.42 This provider attestation requirement aims to ensure that patients are committed to limiting further liver damage and injectable drug use in an effort to prevent reinfection. Nevertheless, clinical guidelines43 suggest that recent or active injectable drug use is not a contraindication to DAAs, as adherence and efficacy rates are comparable between patients who do and do not use injectable drugs. The difference between prescribing restrictions and guideline recommendations possibly reflects, in part, the wedge between cost-effectiveness and affordability considerations.44 The availability of more DAAs has facilitated expanded access because of increased market competition, allowing commercial payers like HPHC45 to negotiate rebates.20 Interbrand competition46 seems to have decreased published prices,47 which is unusual before patent expiration (sofosbuvir’s patent will be the first to expire in 2028). The budgetary impact of expanded access should be considered in light of potential future cost savings related to treating patients early (eg, costs avoided for treating cirrhosis, liver failure, carcinoma, and liver transplantation).

Among this population of commercially insured patients with HCV, the advent of highly priced DAAs had a relatively small absolute impact on member OOP spending on HCV medications. Following availability of new DAAs, average annual OOP spending on HCV medications across members with this condition increased by about $53 per member; OOP spending on HCV medications did not change significantly among the subset of patients receiving HCV medications. However, average annual health plan spending on HCV medications per member with HCV increased by 475%, or $13,635, after the advent of new DAAs. The health plan contributed more than 99% of spending on HCV medications both before and after the availability of new DAAs. Given that the average membership duration is about 2 to 3 years in most commercial health plans,48,49 financial benefits following cure of HCV infection by new DAAs (eg, costs avoided for hospitalizations due to progressed disease or liver transplants) might not be realized during the enrollment span of most members receiving treatment. Indeed, we did not detect changes in medical spending by the health plan for the study population during the median 2.7-year follow-up.

DAAs for HCV are only one class of high-priced specialty medications that pose increasing financial burden on patients, providers, payers, employers (because private payers are in many cases simply administering insurance services as decided by employers that self-insure), and society. In 2017, specialty medications accounted for 31% of spending on prescription medications under Medicare, 42% in state Medicaid programs, and 49% among commercial health plans.50 Specialty medications come to market at increasingly high prices, often costing more than $2000 per month per patient.51-53 Increased access to specialty medications will likely lead to higher premiums and/or deductibles, higher member cost sharing, or both, thus threatening affordability and equity in access to healthcare in general and potentially harming health.54 These are major concerns for the American public,55 and there is “a moral obligation to improve access [to DAAs and other highly effective, highly priced medications] by reforming approaches to drug pricing.”56 Payers and employers need to find ways to negotiate prices and streamline access for patients who can benefit most from effective innovations. Alternative payment approaches are being explored in the United States and worldwide. For example, the Louisiana Department of Health has approved a “subscription” or “Netflix” model to pay for HCV treatment for the state’s residents. This model involves a cross-payer coalition in the state: In exchange for subscription fees over a fixed number of years, the drug companies would provide access to HCV therapies and commit to patient and provider outreach efforts to enhance treatment rates.57 Australia’s model58 involves approximately AUD$1 billion (US$766 million) over 5 years in exchange for an unlimited volume of DAAs for HCV from drug companies. Early evidence suggests that such a model may result in lower per-patient prices, broader (or even universal) access to new drugs with certainty about the cost, and increases in market access for pharmaceutical companies with guaranteed revenue over the years of the agreement.58

Limitations

Our study has several limitations. First, claims data do not allow for studying outcomes, and a 4-year time window does not capture long-term clinical or financial impact for members or the payer. We did not have information on rebates to the payer or on manufacturer coupons to patients, so we may have overestimated their spending. For HCV medications, pharmaceutical manufacturer coupons are available to lower a member’s cost to $5 per prescription fill, up to a maximum of 25% of the catalog price of a 12-week regimen.59 However, the health plan’s net medication spending increased from 20% to 25% of total healthcare spending between 2011 and 2016, and ledipasvir/sofosbuvir was the health plan’s third most reimbursed product by value, accounting for $16 million net spending in 2016.60 OOP spending included co-payments, coinsurance, and deductible amounts, but we did not have information on premiums. We also did not have information on individuals who did not apply for prior authorization for DAA treatment nor on those who were denied approval. Given the data available at the time of the analysis, our study provides insights into the early experience of restricted access to DAAs; future research should examine the outcomes of expanded access to DAAs following removal of several reimbursement requirements and the decline of DAA drug prices. Lastly, an important economic component is the operation cost of prior authorization for these medicines, which is beyond the scope of this study. Prior authorization is commonly used to manage specialty medications. Prior authorization can be time-consuming, not only for providers who must complete paperwork but also for the health plan to review applications and adjudicate appeals. Prior authorization has been shown to be costly for all involved,61,62 and research is needed to estimate its costs given that more and more products, especially specialty medications, require prior authorization.

CONCLUSIONS

The proportion of a commercially insured population with HCV infection who were treated with HCV medications doubled within 2 years following availability of new DAAs. These medications can cure a prevalent, potentially fatal, chronic infectious disease, but they have a high price. Based on the experience of a regional commercial health plan, on average, patient OOP spending was kept low while the health plan covered 99% of spending on new HCV medications. In our 2-year follow-up period (similar to the average health plan enrollment spans of commercially insured members), we did not observe financial benefits of the cure of HCV infection by new DAAs.

Acknowledgments

The authors are grateful to Barbara Henry for her feedback on an early version of the manuscript.Author Affiliations: Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute (CYL, DR-D, FZ, RL, CL, AW), Boston, MA; Harvard Pilgrim Health Care (MS), Wellesley, MA.

Source of Funding: This work was supported by a grant from Harvard Pilgrim Health Care Institute.

Author Disclosures: Drs Lu, Ross-Degnan, Zhang, and Wagner; Mr LeCates; and Ms Lupton are employed by the Harvard Pilgrim Health Care Institute, which is affiliated with the health plan described in the study. Dr Sherman is a member of the Real Endpoints board of directors and is employed by Harvard Pilgrim Health Care.

Authorship Information: Concept and design (CYL, DR-D, MS, AW); acquisition of data (CYL); analysis and interpretation of data (CYL, DR-D, FZ, RL, MS, AW); drafting of the manuscript (CYL, RL, CL, AW); critical revision of the manuscript for important intellectual content (CYL, DR-D, FZ, RL, CL, MS, AW); statistical analysis (FZ, AW); provision of patients or study materials (CYL); obtaining funding (CYL, AW); administrative, technical, or logistic support (RL, CL); and supervision (CYL, AW).

Address Correspondence to: Christine Y. Lu, PhD, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Dr, Ste 401 East, Boston, MA 02215. Email: christine_lu@hphci.harvard.edu.REFERENCES

1. Armstrong GL, Wasley A, Simard EP, McQuillan GM, Kuhnert WL, Alter MJ. The prevalence of hepatitis C virus infection in the United States, 1999 through 2002. Ann Intern Med. 2006;144(10):705-714. doi: 10.7326/0003-4819-144-10-200605160-00004.

2. Chak E, Talal AH, Sherman KE, Schiff ER, Saab S. Hepatitis C virus infection in USA: an estimate of true prevalence. Liver Int. 2011;31(8):1090-1101. doi: 10.1111/j.1478-3231.2011.02494.x.

3. Denniston MM, Jiles RB, Drobeniuc J, et al. Chronic hepatitis C virus infection in the United States, National Health and Nutrition Examination Survey 2003 to 2010. Ann Intern Med. 2014;160(5):293-300. doi: 10.7326/M13-1133.

4. Gower E, Estes C, Blach S, Razavi-Shearer K, Razavi H. Global epidemiology and genotype distribution of the hepatitis C virus infection. J Hepatol. 2014;61(suppl 1):S45-S57. doi: 10.1016/j.jhep.2014.07.027.

5. Mohd Hanafiah K, Groeger J, Flaxman AD, Wiersma ST. Global epidemiology of hepatitis C virus infection: new estimates of age-specific antibody to HCV seroprevalence. Hepatology. 2013;57(4):1333-1342. doi: 10.1002/hep.26141.

6. Grebely J, Dore GJ. What is killing people with hepatitis C virus infection? Semin Liver Dis. 2011;31(4):331-339. doi: 10.1055/s-0031-1297922.

7. Hajarizadeh B, Grebely J, Dore GJ. Epidemiology and natural history of HCV infection. Nat Rev Gastroenterol Hepatol. 2013;10(9):553-562. doi: 10.1038/nrgastro.2013.107.

8. Martin AB, Hartman M, Benson J, Catlin A; National Health Expenditure Accounts Team. National health spending in 2014: faster growth driven by coverage expansion and prescription drug spending. Health Aff (Millwood). 2016;35(1):150-160. doi: 10.1377/hlthaff.2015.1194.

9. Fried MW, Shiffman ML, Reddy KR, et al. Peginterferon alfa-2a plus ribavirin for chronic hepatitis C virus infection. N Engl J Med. 2002;347(13):975-982. doi: 10.1056/NEJMoa020047.

10. Zeuzem S, Hultcrantz R, Bourliere M, et al. Peginterferon alfa-2b plus ribavirin for treatment of chronic hepatitis C in previously untreated patients infected with HCV genotypes 2 or 3 [erratum in J Hepatol. 2005;42(3):434. doi: 10.1016/j.jhep.2005.01.006]. J Hepatol. 2004;40(6):993-999. doi: 10.1016/j.jhep.2004.02.007.

11. Kramer JR, Kanwal F, Richardson P, Mei M, El-Serag HB. Gaps in the achievement of effectiveness of HCV treatment in national VA practice. J Hepatol. 2012;56(2):320-325. doi: 10.1016/j.jhep.2011.05.032.

12. Sarrazin C, Isakov V, Svarovskaia ES, et al. Late relapse versus hepatitis C virus reinfection in patients with sustained virologic response after sofosbuvir-based therapies. Clin Infect Dis. 2017;64(1):44-52. doi: 10.1093/cid/ciw676.

13. Puenpatom A, Hull M, McPheeters J, Schwebke K. Treatment discontinuation, adherence, and real-world effectiveness among patients treated with ledipasvir/sofosbuvir in the United States. Infect Dis Ther. 2017;6(3):423-433. doi: 10.1007/s40121-017-0163-0.

14. Mitra D, Davis KL, Beam C, Medjedovic J, Rustgi V. Treatment patterns and adherence among patients with chronic hepatitis C virus in a US managed care population. Value Health. 2010;13(4):479-486. doi: 10.1111/j.1524-4733.2009.00691.x.

15. He T, Lopez-Olivo MA, Hur C, Chhatwal J. Systematic review: cost-effectiveness of direct-acting antivirals for treatment of hepatitis C genotypes 2-6. Aliment Pharmacol Ther. 2017;46(8):711-721. doi: 10.1111/apt.14271.

16. Chhatwal J, He T, Hur C, Lopez-Olivo MA. Direct-acting antiviral agents for patients with hepatitis C virus genotype 1 infection are cost-saving. Clin Gastroenterol Hepatol. 2017;15(6):827-837.e8. doi: 10.1016/j.cgh.2016.09.015.

17. Drugs@FDA: FDA approved drug products. FDA website. www.accessdata.fda.gov/scripts/cder/daf. Accessed April 17, 2018.

18. Hirsch BR, Balu S, Schulman KA. The impact of specialty pharmaceuticals as drivers of health care costs. Health Aff (Millwood). 2014;33(10):1714-1720. doi: 10.1377/hlthaff.2014.0558.

19. Lu CY, Zhang F, Golonski N, Lupton C, Jeffrey P, Wagner AK. State Medicaid reimbursement for medications for chronic hepatitis C infection from 2012 through 2015. Value Health. 2018;21(6):692-697. doi: 10.1016/j.jval.2017.09.011.

20. Rosenthal ES, Graham CS. Price and affordability of direct-acting antiviral regimens for hepatitis C virus in the United States. Infect Agent Cancer. 2016;11:24. doi: 10.1186/s13027-016-0071-z.

21. Kleinke JD, McGee N. Breaking the bank: three financing models for addressing the drug innovation cost crisis. Am Health Drug Benefits. 2015;8(3):118-126.

22. Rein DB, Wittenborn JS, Smith BD, Liffmann DK, Ward JW. The cost-effectiveness, health benefits, and financial costs of new antiviral treatments for hepatitis C virus. Clin Infect Dis. 2015;61(2):157-168. doi: 10.1093/cid/civ220.

23. Spach DH. HCV epidemiology in the United States. Hepatitis C Online website. hepatitisc.uw.edu/go/screening-diagnosis/epidemiology-us/core-concept/all. Updated February 26, 2019. Accessed April 27, 2019.

24. Clements KM, Clark RE, Lavitas P, et al. Access to new medications for hepatitis C for Medicaid members: a retrospective cohort study. J Manag Care Spec Pharm. 2016;22(6):714-722b. doi: 10.18553/jmcp.2016.22.6.714.

25. Hepatitis C ICD-9 codes. Support Path website. mysupportpath.com/~/media/Files/mysupportpath_com/ICD-9_Codes.pdf. Published 2014. Accessed October 24, 2018.

26. 2011-2015 ACS 5-year estimates. US Census Bureau website. census.gov/programs-surveys/acs/technical-documentation/table-and-geography-changes/2015/5-year.html. Updated June 7, 2019. Accessed July 17, 2019.

27. Quan H, Sundararajan V, Halfon P, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43(11):1130-1139. doi: 10.1097/01.mlr.0000182534.19832.83.

28. Consumer price index. Bureau of Labor Statistics website. bls.gov/cpi. Accessed November 12, 2019.

29. Diggle PJ, Heagerty P, Liang KY, Zeger SL. Analysis of Longitudinal Data. 2nd ed. Oxford, United Kingdom: Oxford University Press; 2002.

30. Liang KY, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73(1):13-22. doi: 10.1093/biomet/73.1.13.

31. Morgan RL, Baack B, Smith BD, Yartel A, Pitasi M, Falck-Ytter Y. Eradication of hepatitis C virus infection and the development of hepatocellular carcinoma: a meta-analysis of observational studies. Ann Intern Med. 2013;158(5, pt 1):329-337. doi: 10.7326/0003-4819-158-5-201303050-00005.

32. van der Meer AJ, Veldt BJ, Feld JJ, et al. Association between sustained virological response and all-cause mortality among patients with chronic hepatitis C and advanced hepatic fibrosis. JAMA. 2012;308(24):2584-2593. doi: 10.1001/jama.2012.144878.

33. Veldt BJ, Heathcote EJ, Wedemeyer H, et al. Sustained virologic response and clinical outcomes in patients with chronic hepatitis C and advanced fibrosis. Ann Intern Med. 2007;147(10):677-684. doi: 10.7326/0003-4819-147-10-200711200-00003.

34. Trooskin SB, Reynolds H, Kostman JR. Access to costly new hepatitis C drugs: medicine, money, and advocacy. Clin Infect Dis. 2015;61(12):1825-1830. doi: 10.1093/cid/civ677.

35. Millman AJ, Ntiri-Reid B, Irvin R, et al. Barriers to treatment access for chronic hepatitis C virus infection: a case series. Top Antivir Med. 2017;25(3):110-113.

36. Specialty drugs and health care costs. The Pew Charitable Trusts website. pewtrusts.org/~/media/assets/2016/12/specialty_drugs_and_health_care_costs.pdf. Published December 2016. Accessed November 12, 2019.

37. Toich L. Will hepatitis C virus medication costs drop in the years ahead? Pharmacy Times website. pharmacytimes.com/resource-centers/hepatitis/will-hepatitis-c-virus-medicaton-costs-drop-in-the-years-ahead. Published February 8, 2017. Accessed April 18, 2018.

38. Graham J. Medicaid, private insurers begin to lift curbs on pricey hepatitis C drugs. Kaiser Health News website. khn.org/news/medicaid-private-insurers-begin-to-lift-curbs-on-pricey-hepatitis-c-drugs. Published July 5, 2016. Accessed April 30, 2018.

39. 2019 ICD-10-CM. CMS website. cms.gov/medicare/coding/icd10/2019-icd-10-cm.html. Updated June 20, 2019. Accessed July 10, 2019.

40. Poynard T, Bedossa P, Opolon P. Natural history of liver fibrosis progression in patients with chronic hepatitis C: the OBSVIRC, METAVIR, CLINIVIR, and DOSVIRC groups. Lancet. 1997;349(9055):825-832. doi: 10.1016/s0140-6736(96)07642-8.

41. Poynard T, Ratziu V, Charlotte F, Goodman Z, McHutchison J, Albrecht J. Rates and risk factors of liver fibrosis progression in patients with chronic hepatitis C. J Hepatol. 2001;34(5):730-739. doi: 10.1016/s0168-8278(00)00097-0.

42. Aspinall EJ, Corson S, Doyle JS, et al. Treatment of hepatitis C virus infection among people who are actively injecting drugs: a systematic review and meta-analysis. Clin Infect Dis. 2013;57(suppl 2):S80-S89. doi: 10.1093/cid/cit306.

43. Practice guidelines. American Association for the Study of Liver Diseases website. aasld.org/publications/practice-guidelines. Accessed June 10, 2019.

44. Linas BP, Nolen S. A guide to the economics of hepatitis C virus cure in 2017. Infect Dis Clin North Am. 2018;32(2):447-459. doi: 10.1097/MEG.0000000000000773.

45. Harvard Pilgrim Health Care recommended medication request guidelines. Harvard Pilgrim Health Care website. harvardpilgrim.org/pls/portal/docs/PAGE/PROVIDERS/PHARMACY/2019PAHRMACYPROGRAM/2019RESTRICTIONS_TABLE/MRFS/HEPATITIS%20C%20GLS%201118.PDF. Published November 1, 2018. Accessed November 12, 2019.

46. Darrow JJ, Kesselheim AS. Promoting competition to address pharmaceutical prices. Health Affairs website. healthaffairs.org/do/10.1377/hpb20180116.967310/full. Published March 15, 2018. Accessed November 12, 2019.

47. Sagonowsky E. AbbVie’s new pan-genotypic hepatitis C drug Mavyret deeply underprices the competition. FiercePharma website. fiercepharma.com/pharma/abbvie-s-new-pan-genotypic-hep-c-drug-mavyret-undercuts-competition. Published August 3, 2017. Accessed April 30, 2018.

48. Site. Sentinel Initiative website. www.sentinelinitiative.org/search/site/member%20enrollment%20duration. Accessed April 30, 2018.

49. Jensen ET, Cook SF, Allen JK, et al. Enrollment factors and bias of disease prevalence estimates in administrative claims data. Ann Epidemiol. 2015;25(7):519-525.e2. doi: 10.1016/j.annepidem.2015.03.008.

50. 2017 Drug Trend Report. Express Scripts website. corporate-site-labs-dev.s3.amazonaws.com/2019-09/Express%20Scripts%202017%20Drug%20Trend%20Report.pdf. Accessed November 12, 2019.

51. Schondelmeyer SW, Purvis L. Trends in retail prices of specialty prescription drugs widely used by older Americans, 2006 to 2015. AARP website. aarp.org/content/dam/aarp/ppi/2017/11/full-report-trends-in-retail-prices-of-specialty-prescription-drugs-widely-used-by-older-americans.pdf. Published September 2017. Accessed November 12, 2019.

52. Kantarjian H, Patel Y. High cancer drug prices 4 years later—progress and prospects. Cancer. 2017;123(8):1292-1297. doi: 10.1002/cncr.30545.

53. Specialty drug costs poised to skyrocket but many employers have yet to take note. The Commonwealth Fund website. commonwealthfund.org/publications/newsletter-article/specialty-drug-costs-poised-skyrocket-many-employers-have-yet-take. Published April 11, 2012. Accessed June 10, 2019.

54. Goldman DP, Joyce GF, Zheng Y. Prescription drug cost sharing: associations with medication and medical utilization and spending and health. JAMA. 2007;298(1):61-69. doi: 10.1001/jama.298.1.61.

55. DiJulio B, Firth J, Brodie M. Kaiser Health Tracking Poll: October 2015. Kaiser Family Foundation website. kff.org/health-costs/poll-finding/kaiser-health-tracking-poll-october-2015. Published October 28, 2015. Accessed April 17, 2018.

56. Walker A, Boyce A, Geller G, Thio CL, Kahn JP. Direct-acting antivirals and hepatitis C: the ethics of price and rationing by genotype. Clin Infect Dis. 2018;67(6):983-984. doi: 10.1093/cid/ciy239.

57. Simmons-Duffin S, Kodjak A. Louisiana’s novel ‘subscription’ model for pricey hepatitis C drugs gains approval. NPR website. npr.org/sections/health-shots/2019/06/26/736312262/louisianas-novel-subscription-model-for-pricey-hepatitis-c-drugs-gains-approval. Published June 26, 2019. Accessed November 26, 2019.

58. Moon S, Erickson E. Universal medicine access through lump-sum remuneration—Australia’s approach to hepatitis C. N Engl J Med. 2019;380(7):607-610. doi: 10.1056/NEJMp1813728.

59. Karmarkar TD, Starner CI, Qiu Y, Tiberg K, Gleason PP. Sofosbuvir initial therapy abandonment and manufacturer coupons in a commercially insured population. Am J Manag Care. 2016;22(6 spec no):SP191-SP197.

60. Sherman M, Curfman GD, Parent J, Wagner AK. Prescription medications account for one in four dollars spent by a commercial health plan. Health Affairs website. healthaffairs.org/do/10.1377/hblog20180821.820628/full. Published August 24, 2018. Accessed November 4, 2018.

61. Casalino LP, Nicholson S, Gans DN, et al. What does it cost physician practices to interact with health insurance plans? Health Aff (Millwood). 2009;28(4):w533-w543. doi: 10.1377/hlthaff.28.4.w533.

62. Morley CP, Badolato DJ, Hickner J, Epling JW. The impact of prior authorization requirements on primary care physicians’ offices: report of two parallel network studies. J Am Board Fam Med. 2013;26(1):93-95. doi: 10.3122/jabfm.2013.01.120062.

Related Videos
Related Content
AJMC Managed Markets Network Logo
CH LogoCenter for Biosimilars Logo