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• W2931086150 abstract "Potential conflict of interest: Dr. Chhatwal consults and received grants from Gilead. He advises and received grants from Merck. He consults for Complete HEOR Solutions. Dr. Ninburg received grants from AbbVie, Gilead, and Merck. Dr. Spaulding consults, advises, and received grants from Gilead. She advises AbbVie. Dr. Trooskin received grants from Gilead. To the Editor: Hofmeister identified populations with heightened hepatitis C virus (HCV) prevalence, including 2.1 million individuals incarcerated as of December 31, 2016,1 estimating this population’s HCV prevalence at 9.5× that of householders surveyed by the National Health and Nutrition Epidemiology Survey (NHANES). Yearly, the United States incarcerates 10 million people; subtracting 2.1 million incarcerated persons leaves 7.9 million in the NHANES frame who were recently released from prison/jail prior to the 1‐day count (3% of all U.S. adults). National surveys face challenges—declining response rates, response bias, low participation by highly mobile/disadvantaged populations2—that suggest the paper underestimated the true HCV prevalence among needy groups. The NHANES sampling frame includes housed formerly incarcerated persons. By oversampling minority men and the poor, both overrepresented among releasees, its sample should include this group. However, NHANES lacks flags identifying releasees and cannot test assumptions about equivalent HCV prevalence and nonresponse rates. NHANES could undersurvey the formerly incarcerated because of the following: (1) Mobility: Releasees’ “legal” addresses can change daily,3 lowering likelihood of inclusion in NHANES‐selected households; (2) Nonresponse: 60% contend with addiction, psychiatric illness, or both,3 and many have challenges in transportation to NHANES examination centers3; and (3) Trust: If under supervision or involved in illegal activity, releasees may distrust government representatives, despite assurances of confidentiality. Although NHANES sample weights account for various sources of nonresponse, estimates would be biased if respondents differ from nonrespondents in HCV prevalence, and the weights do not account for these subgroup differences. Hypothetically, if half of releasees did not respond and had HCV prevalence midway between the incarcerated and general population, Hofmeister’s estimate would be several hundred thousand below the true prevalence. We also question methods determining correctional HCV prevalence. Authors report using PubMed‐listed publications reflecting 2013‐2016 NHANES cycles; Varan 2014 contains data from the same era as Cocoros 2014 (study 2, Table 3) but was excluded.4 North Carolina data from study 6 were included; its South Carolina jail data were omitted without explanation. Authors said studies “sampling higher‐risk subpopulations selectively were excluded.” Yet Akiyama (study 1) targeted higher‐risk subpopulations; it should have been excluded. Although national surveys demonstrate heterogeneous HCV distribution geographically, authors assumed homogeneity across prison systems.4 Because of this heterogeneity, sampled prisons should be weighted by their representation among all incarcerated persons.4 Attributing viremia likelihood in studies 1, 3, and 4 based on the partially treated free‐world population (57.5%) rather than correctional studies 2 and 5‐7 underestimates cases. Overall, the paper paints a picture of progress toward eliminating HCV, not aligning with realities of prison HCV management.5 As America faces the opioid epidemic, fueling more HCV transmission, it behooves us to better characterize the treatment of justice‐involved persons." @default.
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• W2931086150 date "2019-08-01" @default.
• W2931086150 modified "2023-10-07" @default.
• W2931086150 title "Letter to the Editor: Hepatitis C Virus Prevalence Estimates Among Incarcerated Persons" @default.
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• W2931086150 doi "https://doi.org/10.1002/hep.30636" @default.
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