Liver transplantation (LT) is the final step in a complex care cascade. Little is known about how race, gender, rural versus urban residence, or neighborhood socioeconomic indicators impact a patient's likelihood of LT waitlisting or risk of death during LT evaluation. We performed a retrospective cohort study of adults referred for LT to the Indiana University Academic Medical Center from 2011 to 2018. Neighborhood socioeconomic status indicators were obtained by linking patients' addresses to their census tract defined in the 2017 American Community Survey. Descriptive statistics were used to describe completion of steps in the LT evaluation cascade. Multivariable analyses were performed to assess the factors associated with waitlisting and death during LT evaluation. There were 3454 patients referred for LT during the study period; 25.3% of those referred were waitlisted for LT. There was no difference seen in the proportion of patients from vulnerable populations who progressed to the steps of financial approval or evaluation start. There were differences in waitlisting by insurance type (22.6% of Medicaid vs. 34.3% of those who were privately insured; p < 0.01) and neighborhood poverty (quartile 1 29.6% vs. quartile 4 20.4%; p < 0.01). On multivariable analysis, neighborhood poverty was independently associated with waitlisting (odds ratio 0.56, 95% confidence interval [CI] 0.38–0.82) and death during LT evaluation (hazard ratio 1.49, 95% CI 1.09–2.09). Patients from high‐poverty neighborhoods are at risk of failing to be waitlisted and death during LT evaluation.
Despite the release of a growing number of direct-acting antivirals and evolving policy landscape, many of those diagnosed with hepatitis C virus (HCV) have not received treatment. Those from vulnerable populations are at particular risk of being unable to access treatment, threatening World Health Organization (WHO) HCV elimination goals. The aim of this study was to understand the association between direct-acting antivirals approvals, HCV-related policy changes and access to HCV virus treatment in Indiana, and to explore access to treatment by race, birth cohort and insurance type. We performed a retrospective cohort study of adults with HCV from 05/2011-03/2021, using statewide electronic health data. Nine policy and treatment changes were defined a priori. A Lowess curve evaluated treatment trends over time. Monthly screening and treatment rates were examined. Multivariable logistic regression explored predictors of treatment. The population (N = 10,336) was 13.4% Black, 51.8% was born after 1965 and 44.7% was Medicaid recipients. Inflections in the Lowess curve defined four periods: (1) Interferon + DAA, (2) early direct-acting antivirals, (3) Medicaid expansion/ optimization and (4) Medicaid restrictions (fibrosis/prescriber) removed. The largest increase in monthly treatment rates was during period 4, when Medicaid prescriber and fibrosis restrictions were removed (2.4 persons per month [PPM] in period 1 to 72.3 PPM in period 4, p < 0.001; 78.0% change in slope). Multivariable logistic regression analysis showed being born after 1965 (vs. before 1945; OR 0.69; 95% 0.49-0.98) and having Medicaid (vs. private insurance; OR 0.47; 95% CI 0.42-0.53), but not race was associated with lower odds of being treated. In conclusion, DAAs had limited impact on HCV treatment rates until Medicaid restrictions were removed. Additional policies may be needed to address HCV treatment-related age and insurance disparities.
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