Erin Keast

Mortality Among Persons in Care With Hepatitis C Virus Infection: The Chronic Hepatitis Cohort Study (CHeCS), 2006–2010

BACKGROUND The number of deaths in hepatitis C virus (HCV)-infected persons recorded on US death certificates has been increasing, but actual rates and causes of death in these individuals have not been well elucidated. METHODS Disease-specific, liver-related, and non-liver-related mortality data for HCV-infected patients in an observational cohort study, the Chronic Hepatitis Cohort Study (CHeCS) at 4 US healthcare systems, were compared with multiple cause of death (MCOD) data in 12 million death certificates in 2006-2010. Premortem diagnoses, liver biopsies, and FIB-4 scores (a noninvasive measure of liver damage) were examined. RESULTS Of 2 143 369 adult patients seen at CHeCS sites in 2006-2010, 11 703 (0.5%) had diagnosed chronic HCV infection, and 1590 (14%) died. The majority of CHeCS decedents were born from 1945 to 1965 (75%), white (50%), and male (68%); mean age of death was 59 years, 15 years younger than MCOD deaths. The age-adjusted mortality rate for liver disease in CHeCS was 12 times higher than the MCOD rate. Before death, 63% of decedents had medical record evidence of chronic liver disease, 76% had elevated FIB-4 scores, and, among those biopsied, 70% had moderate or worse liver fibrosis. However, only 19% of all CHeCS decedents and only 30% of those with recorded liver disease had HCV listed on their death certificates. CONCLUSIONS HCV infection is greatly underdocumented on death certificates. The 16 622 persons with HCV listed in 2010 may represent only one-fifth of about 80 000 HCV-infected persons dying that year, at least two-thirds of whom (53 000 patients) would have had premortem indications of chronic liver disease.

Trends in HCV RNA Testing Among HCV Antibody–Positive Persons in Care, 2003–2010

BACKGROUND A test for hepatitis C virus (HCV) RNA is essential to identify persons with active, or current, HCV infection. We assessed trends in HCV RNA testing following a positive HCV antibody result among persons in 4 large healthcare organizations. METHODS Data collected from adults with ≥2 clinical encounters during 2003-2010 were analyzed to determine the frequency of, interval between, and factors associated with having an RNA test after a first positive HCV antibody test. RESULTS From 2003-2010, 5860 persons had a positive antibody test, of whom 3570 (60.9%) had a follow-up RNA test. During this period, the annual frequency of persons with an eventual RNA test did not change significantly; however, the fraction of persons who had the follow-up RNA test within 6 months improved significantly, from 45% in 2003 to 57% in 2010 (P < .001, for trend). Persons born during 1945-1965, men, and those with annual income <

A Standardized Relative Resource Cost Model for Medical Care: Application to Cancer Control Programs

30 000 (by census geocode) were less likely to have had a follow-up RNA test done within 6 months of a positive antibody test. CONCLUSIONS Less than two-thirds of persons with a positive HCV antibody test had a follow-up RNA test. Rapid ascertainment of HCV infection status with reflex testing to RNA is critical to identify persons eligible for treatment.

Participant uptake of the fecal immunochemical test decreases with the two-sample regimen compared with one-sample FIT

Medicare data represent 75% of aged and permanently disabled Medicare beneficiaries enrolled in the fee-for-service (FFS) indemnity option, but the data omit 25% of beneficiaries enrolled in Medicare Advantage health maintenance organizations (HMOs). Little research has examined how longitudinal patterns of utilization differ between HMOs and FFS. The Burden of Cancer Study developed and implemented an algorithm to assign standardized relative costs to HMO and Medicare FFS data consistently across time and place. Medicare uses 15 payment systems to reimburse FFS providers for covered services. The standardized relative resource cost algorithm (SRRCA) adapts these various payment systems to utilization data. We describe the rationale for modifications to the Medicare payment systems and discuss the implications of these modifications. We applied the SRRCA to data from four HMO sites and the linked Surveillance, Epidemiology, and End Results-Medicare data. Some modifications to Medicare payment systems were required, because data elements needed to categorize utilization were missing from both data sources. For example, data were not available to create episodes for home health services received, so we assigned costs per visit based on visit type (nurse, therapist, and aide). For inpatient utilization, we modified Medicares payment algorithm by changing it from a flat payment per diagnosis-related group to daily rates for diagnosis-related groups to differentiate shorter versus longer stays. The SRRCA can be used in multiple managed care plans and across multiple FFS delivery systems within the United States to create consistent relative cost data for economic analyses. Prior to international use of the SRRCA, data need to be standardized.

Balancing Adherence and Expense: The Cost-Effectiveness of Two-Sample vs One-Sample Fecal Immunochemical Test

Background Fecal immunochemical tests (FITs) are recommended to screen average-risk adults for colorectal cancer (CRC). Little research has examined whether a two-sample FIT affects participant uptake, compared with a one-sample FIT. Examining participant uptake is important, as evidence suggests that a two-sample FIT may increase the sensitivity to detect CRC. Objective This study had two objectives: (i) to evaluate FIT completion in a population that received either a one-sample FIT kit (1-FIT) or a two-sample FIT kit (2-FIT) and (ii) to understand whether uptake varies by age, sex, or receipt of prior CRC screening. Methods We conducted a randomized controlled trial in which 3081 participants who were aged between 50 and 75 years and were at an average risk for CRC, and who had requested FITs, randomly received 1-FIT (n=1540) or 2-FIT (n=1541) kits. FIT completion was defined as the completion and return of a one-sample test by the patients in the 1-FIT group or of both sample tests by those in the 2-FIT group. Cox proportional hazard regression models were used to determine the independent effect of group type (2-FIT vs. 1-FIT) on the completion of the FIT, adjusting for age, sex, and receipt of prior CRC screening. Results The 2-FIT group had lower test completion rates (hazard ratio=0.87; 95% confidence interval=0.78–0.97; P=0.01) after adjusting for age, sex, and receipt of prior CRC screening. Participant uptake did not vary by age, sex, or receipt of prior CRC screening. Conclusion This unique, rigorous randomized controlled trial found that the 2-FIT regimen decreases completion of FIT. Further research is needed to understand whether decreases in participant uptake are offset by increased gains in test sensitivity.

Effectiveness of a Mailed Colorectal Cancer Screening Outreach Program in Community Health Clinics: The STOP CRC Cluster Randomized Clinical Trial

Colorectal cancer (CRC) causes more than 50,000 deaths each year in the United States but early detection through screening yields survival gains; those diagnosed with early stage disease have a 5-year survival greater than 90%, compared to 12% for those diagnosed with late stage disease. Using data from a large integrated health system, this study evaluates the cost-effectiveness of fecal immunochemical testing (FIT), a common CRC screening tool. A probabilistic decision-analytic model was used to examine the costs and outcomes of positive test results from a 1-FIT regimen compared with a 2-FIT regimen. The authors compared 5 diagnostic cutoffs of hemoglobin concentration for each test (for a total of 10 screening options). The principal outcome from the analysis was the cost per additional advanced neoplasia (AN) detected. The authors also estimated the number of cancers detected and life-years gained from detecting AN. The following costs were included: program management of the screening program, patient identification, FIT kits and their processing, and diagnostic colonoscopy following a positive FIT. Per-person costs ranged from

Positive predictive values of fecal immunochemical tests used in the STOP CRC pragmatic trial

33 (1-FIT at 150ng/ml) to

Predictors of Colorectal Cancer Screening Prior to Implementation of a Large Pragmatic Trial in Federally Qualified Health Centers

92 (2-FIT at 50ng/ml) across screening options. Depending on willingness to pay, the 1-FIT 50 ng/ml and the 2-FIT 50 ng/ml are the dominant strategies with cost-effectiveness of

Serum Biomarkers Indicate Long-term Reduction in Liver Fibrosis in Patients With Sustained Virological Response to Treatment for HCV Infection

11,198 and

The validation of electronic health records in accurately identifying patients eligible for colorectal cancer screening in safety net clinics

28,389, respectively, for an additional AN detected. The estimates of cancers avoided per 1000 screens ranged from 1.46 to 4.86, depending on the strategy and the assumptions of AN to cancer progression.