Correlates of Hepatitis C Virus Infection in the Targeted Testing Program of the New York City Jail System: Epidemiologic Patterns and Priorities for Action
Objective: The objective of this study was to understand predictors of hepatitis C virus (HCV) antibody positivity in a large urban jail system in New York City. Methods: We examined demographic characteristics, risk behaviors, and HCV antibody prevalence among 10 790 jail inmates aged 16 to 86 who...
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creator | Akiyama, Matthew J. Kaba, Fatos Rosner, Zachary Alper, Howard Kopolow, Aimee Litwin, Alain H. Venters, Homer MacDonald, Ross |
description | Objective:
The objective of this study was to understand predictors of hepatitis C virus (HCV) antibody positivity in a large urban jail system in New York City.
Methods:
We examined demographic characteristics, risk behaviors, and HCV antibody prevalence among 10 790 jail inmates aged 16 to 86 who were screened from June 13, 2013, to June 13, 2014, based on birth cohort or conventional high-risk criteria. We used logistic regression analysis to determine predictors of HCV antibody positivity.
Results:
Of the 10 790 inmates screened, 2221 (20.6%) were HCV antibody positive. In the multivariate analysis, HCV antibody positivity was associated most strongly with injection drug use (IDU; adjusted odds ratio [aOR] = 35.0; 95% confidence interval [CI], 28.5-43.0). Women were more likely than men to be infected with HCV (aOR = 1.3; 95% CI, 1.1-1.5). Compared with non-Hispanic black people, Hispanic (aOR = 2.1; 95% CI, 1.8-2.4) and non-Hispanic white (aOR = 1.7; 95% CI, 1.5-2.1) people were more likely to be infected with HCV. Non-IDU, recidivism, HIV infection, homelessness, mental illness, and lower education level were all significantly associated with HCV infection. The prevalence rate of HCV infection among a subset of inmates born after 1965 who denied IDU and were not infected with HIV was 5.6% (198 of 3529). Predictors of HCV infection among this group included non-IDU as well as being non-Hispanic white, Hispanic, recidivist, and homeless.
Conclusion:
These data reveal differences in HCV infection by sex, race/ethnicity, and socioeconomics in a large jail population, suggesting that a focused public health intervention is required and that universal screening may be warranted. Further sensitivity and cost-benefit analyses are needed to make this determination. |
doi_str_mv | 10.1177/0033354916679367 |
format | Article |
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The objective of this study was to understand predictors of hepatitis C virus (HCV) antibody positivity in a large urban jail system in New York City.
Methods:
We examined demographic characteristics, risk behaviors, and HCV antibody prevalence among 10 790 jail inmates aged 16 to 86 who were screened from June 13, 2013, to June 13, 2014, based on birth cohort or conventional high-risk criteria. We used logistic regression analysis to determine predictors of HCV antibody positivity.
Results:
Of the 10 790 inmates screened, 2221 (20.6%) were HCV antibody positive. In the multivariate analysis, HCV antibody positivity was associated most strongly with injection drug use (IDU; adjusted odds ratio [aOR] = 35.0; 95% confidence interval [CI], 28.5-43.0). Women were more likely than men to be infected with HCV (aOR = 1.3; 95% CI, 1.1-1.5). Compared with non-Hispanic black people, Hispanic (aOR = 2.1; 95% CI, 1.8-2.4) and non-Hispanic white (aOR = 1.7; 95% CI, 1.5-2.1) people were more likely to be infected with HCV. Non-IDU, recidivism, HIV infection, homelessness, mental illness, and lower education level were all significantly associated with HCV infection. The prevalence rate of HCV infection among a subset of inmates born after 1965 who denied IDU and were not infected with HIV was 5.6% (198 of 3529). Predictors of HCV infection among this group included non-IDU as well as being non-Hispanic white, Hispanic, recidivist, and homeless.
Conclusion:
These data reveal differences in HCV infection by sex, race/ethnicity, and socioeconomics in a large jail population, suggesting that a focused public health intervention is required and that universal screening may be warranted. Further sensitivity and cost-benefit analyses are needed to make this determination.</description><identifier>ISSN: 0033-3549</identifier><identifier>EISSN: 1468-2877</identifier><identifier>DOI: 10.1177/0033354916679367</identifier><identifier>PMID: 28005477</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE</publisher><subject>Black people ; Confidence intervals ; Cost benefit analysis ; Criteria ; Demographics ; Disease transmission ; Economic factors ; Epidemiology ; Ethnicity ; Females ; Health care policy ; Health promotion ; Hepatitis ; Hepatitis C ; HIV ; Homeless people ; Homelessness ; Human immunodeficiency virus ; Illnesses ; Intervention ; Mental disorders ; Mental health ; Minority & ethnic groups ; Multivariate analysis ; Prisoners ; Prisons ; Public health ; Race ; Recidivism ; Regression analysis ; Risk ; Risk groups ; Risk taking ; Sensitivity analysis ; Sexually transmitted diseases ; Social factors ; Statistical analysis ; STD ; Trust ; Viral infections ; Viruses</subject><ispartof>Public health reports (1974), 2017-01, Vol.132 (1), p.41-47</ispartof><rights>2016, Association of Schools and Programs of Public Health</rights><rights>Copyright SAGE PUBLICATIONS, INC. Jan/Feb 2017</rights><rights>2016, Association of Schools and Programs of Public Health 2016 US Surgeon General’s Office</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c339t-abafc6cbef1a4157e20d40bc0a059aea61a50b99034aaf6ad94f6384801a77933</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26374046$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26374046$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,723,776,780,799,881,21799,27845,27903,27904,43600,43601,53769,53771,57995,58228</link.rule.ids></links><search><creatorcontrib>Akiyama, Matthew J.</creatorcontrib><creatorcontrib>Kaba, Fatos</creatorcontrib><creatorcontrib>Rosner, Zachary</creatorcontrib><creatorcontrib>Alper, Howard</creatorcontrib><creatorcontrib>Kopolow, Aimee</creatorcontrib><creatorcontrib>Litwin, Alain H.</creatorcontrib><creatorcontrib>Venters, Homer</creatorcontrib><creatorcontrib>MacDonald, Ross</creatorcontrib><title>Correlates of Hepatitis C Virus Infection in the Targeted Testing Program of the New York City Jail System: Epidemiologic Patterns and Priorities for Action</title><title>Public health reports (1974)</title><description>Objective:
The objective of this study was to understand predictors of hepatitis C virus (HCV) antibody positivity in a large urban jail system in New York City.
Methods:
We examined demographic characteristics, risk behaviors, and HCV antibody prevalence among 10 790 jail inmates aged 16 to 86 who were screened from June 13, 2013, to June 13, 2014, based on birth cohort or conventional high-risk criteria. We used logistic regression analysis to determine predictors of HCV antibody positivity.
Results:
Of the 10 790 inmates screened, 2221 (20.6%) were HCV antibody positive. In the multivariate analysis, HCV antibody positivity was associated most strongly with injection drug use (IDU; adjusted odds ratio [aOR] = 35.0; 95% confidence interval [CI], 28.5-43.0). Women were more likely than men to be infected with HCV (aOR = 1.3; 95% CI, 1.1-1.5). Compared with non-Hispanic black people, Hispanic (aOR = 2.1; 95% CI, 1.8-2.4) and non-Hispanic white (aOR = 1.7; 95% CI, 1.5-2.1) people were more likely to be infected with HCV. Non-IDU, recidivism, HIV infection, homelessness, mental illness, and lower education level were all significantly associated with HCV infection. The prevalence rate of HCV infection among a subset of inmates born after 1965 who denied IDU and were not infected with HIV was 5.6% (198 of 3529). Predictors of HCV infection among this group included non-IDU as well as being non-Hispanic white, Hispanic, recidivist, and homeless.
Conclusion:
These data reveal differences in HCV infection by sex, race/ethnicity, and socioeconomics in a large jail population, suggesting that a focused public health intervention is required and that universal screening may be warranted. Further sensitivity and cost-benefit analyses are needed to make this determination.</description><subject>Black people</subject><subject>Confidence intervals</subject><subject>Cost benefit analysis</subject><subject>Criteria</subject><subject>Demographics</subject><subject>Disease transmission</subject><subject>Economic factors</subject><subject>Epidemiology</subject><subject>Ethnicity</subject><subject>Females</subject><subject>Health care policy</subject><subject>Health promotion</subject><subject>Hepatitis</subject><subject>Hepatitis C</subject><subject>HIV</subject><subject>Homeless people</subject><subject>Homelessness</subject><subject>Human immunodeficiency virus</subject><subject>Illnesses</subject><subject>Intervention</subject><subject>Mental disorders</subject><subject>Mental health</subject><subject>Minority & ethnic groups</subject><subject>Multivariate analysis</subject><subject>Prisoners</subject><subject>Prisons</subject><subject>Public health</subject><subject>Race</subject><subject>Recidivism</subject><subject>Regression analysis</subject><subject>Risk</subject><subject>Risk groups</subject><subject>Risk taking</subject><subject>Sensitivity analysis</subject><subject>Sexually transmitted diseases</subject><subject>Social factors</subject><subject>Statistical analysis</subject><subject>STD</subject><subject>Trust</subject><subject>Viral infections</subject><subject>Viruses</subject><issn>0033-3549</issn><issn>1468-2877</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNp1kUtr3DAUhUVpSSZp9t0UBF27layXtQkE0zxKSAOZBrIS155rR9MZayppWubfx2ZCaArVRotzzqd7dQj5wNlnzo35wpgQQknLtTZWaPOGzLjUVVFWxrwls0kuJv2QHKW0ZOMpuTggh2XFmJLGzMiyDjHiCjImGjp6iRvIPvtEa3rv4zbRq6HDNvswUD_Q_Ih0DrHHjAs6x5T90NPbGPoI6yk-6Tf4hz6E-JPWPu_oN_ArerdLGdfvybsOVglPnu9j8uP867y-LK6_X1zVZ9dFK4TNBTTQtbptsOMguTJYsoVkTcuAKQsImoNijbVMSIBOw8LKTotKVoyDGX9BHJPTPXezbda4aHHIEVZuE_0a4s4F8O61MvhH14ffTpW2klaNgE_PgBh-bcct3TJs4zDO7HilhVIVl3x0sb2rjSGliN3LC5y5qR33bztjpNhHEvT4F_T__o97_zLlEF_4pRZGMqnFE12sl9M</recordid><startdate>20170101</startdate><enddate>20170101</enddate><creator>Akiyama, Matthew J.</creator><creator>Kaba, Fatos</creator><creator>Rosner, Zachary</creator><creator>Alper, Howard</creator><creator>Kopolow, Aimee</creator><creator>Litwin, Alain H.</creator><creator>Venters, Homer</creator><creator>MacDonald, Ross</creator><general>SAGE</general><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TQ</scope><scope>ASE</scope><scope>DHY</scope><scope>DON</scope><scope>FPQ</scope><scope>K6X</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>5PM</scope></search><sort><creationdate>20170101</creationdate><title>Correlates of Hepatitis C Virus Infection in the Targeted Testing Program of the New York City Jail System</title><author>Akiyama, Matthew J. ; Kaba, Fatos ; Rosner, Zachary ; Alper, Howard ; Kopolow, Aimee ; Litwin, Alain H. ; Venters, Homer ; MacDonald, Ross</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c339t-abafc6cbef1a4157e20d40bc0a059aea61a50b99034aaf6ad94f6384801a77933</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Black people</topic><topic>Confidence intervals</topic><topic>Cost benefit analysis</topic><topic>Criteria</topic><topic>Demographics</topic><topic>Disease transmission</topic><topic>Economic factors</topic><topic>Epidemiology</topic><topic>Ethnicity</topic><topic>Females</topic><topic>Health care policy</topic><topic>Health promotion</topic><topic>Hepatitis</topic><topic>Hepatitis C</topic><topic>HIV</topic><topic>Homeless people</topic><topic>Homelessness</topic><topic>Human immunodeficiency virus</topic><topic>Illnesses</topic><topic>Intervention</topic><topic>Mental disorders</topic><topic>Mental health</topic><topic>Minority & ethnic groups</topic><topic>Multivariate analysis</topic><topic>Prisoners</topic><topic>Prisons</topic><topic>Public health</topic><topic>Race</topic><topic>Recidivism</topic><topic>Regression analysis</topic><topic>Risk</topic><topic>Risk groups</topic><topic>Risk taking</topic><topic>Sensitivity analysis</topic><topic>Sexually transmitted diseases</topic><topic>Social factors</topic><topic>Statistical analysis</topic><topic>STD</topic><topic>Trust</topic><topic>Viral infections</topic><topic>Viruses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Akiyama, Matthew J.</creatorcontrib><creatorcontrib>Kaba, Fatos</creatorcontrib><creatorcontrib>Rosner, Zachary</creatorcontrib><creatorcontrib>Alper, Howard</creatorcontrib><creatorcontrib>Kopolow, Aimee</creatorcontrib><creatorcontrib>Litwin, Alain H.</creatorcontrib><creatorcontrib>Venters, Homer</creatorcontrib><creatorcontrib>MacDonald, Ross</creatorcontrib><collection>CrossRef</collection><collection>PAIS Index</collection><collection>British Nursing Index</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Public health reports (1974)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Akiyama, Matthew J.</au><au>Kaba, Fatos</au><au>Rosner, Zachary</au><au>Alper, Howard</au><au>Kopolow, Aimee</au><au>Litwin, Alain H.</au><au>Venters, Homer</au><au>MacDonald, Ross</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlates of Hepatitis C Virus Infection in the Targeted Testing Program of the New York City Jail System: Epidemiologic Patterns and Priorities for Action</atitle><jtitle>Public health reports (1974)</jtitle><date>2017-01-01</date><risdate>2017</risdate><volume>132</volume><issue>1</issue><spage>41</spage><epage>47</epage><pages>41-47</pages><issn>0033-3549</issn><eissn>1468-2877</eissn><abstract>Objective:
The objective of this study was to understand predictors of hepatitis C virus (HCV) antibody positivity in a large urban jail system in New York City.
Methods:
We examined demographic characteristics, risk behaviors, and HCV antibody prevalence among 10 790 jail inmates aged 16 to 86 who were screened from June 13, 2013, to June 13, 2014, based on birth cohort or conventional high-risk criteria. We used logistic regression analysis to determine predictors of HCV antibody positivity.
Results:
Of the 10 790 inmates screened, 2221 (20.6%) were HCV antibody positive. In the multivariate analysis, HCV antibody positivity was associated most strongly with injection drug use (IDU; adjusted odds ratio [aOR] = 35.0; 95% confidence interval [CI], 28.5-43.0). Women were more likely than men to be infected with HCV (aOR = 1.3; 95% CI, 1.1-1.5). Compared with non-Hispanic black people, Hispanic (aOR = 2.1; 95% CI, 1.8-2.4) and non-Hispanic white (aOR = 1.7; 95% CI, 1.5-2.1) people were more likely to be infected with HCV. Non-IDU, recidivism, HIV infection, homelessness, mental illness, and lower education level were all significantly associated with HCV infection. The prevalence rate of HCV infection among a subset of inmates born after 1965 who denied IDU and were not infected with HIV was 5.6% (198 of 3529). Predictors of HCV infection among this group included non-IDU as well as being non-Hispanic white, Hispanic, recidivist, and homeless.
Conclusion:
These data reveal differences in HCV infection by sex, race/ethnicity, and socioeconomics in a large jail population, suggesting that a focused public health intervention is required and that universal screening may be warranted. Further sensitivity and cost-benefit analyses are needed to make this determination.</abstract><cop>Los Angeles, CA</cop><pub>SAGE</pub><pmid>28005477</pmid><doi>10.1177/0033354916679367</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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source | PAIS Index; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; SAGE Complete; Jstor Complete Legacy; PubMed Central; Alma/SFX Local Collection |
subjects | Black people Confidence intervals Cost benefit analysis Criteria Demographics Disease transmission Economic factors Epidemiology Ethnicity Females Health care policy Health promotion Hepatitis Hepatitis C HIV Homeless people Homelessness Human immunodeficiency virus Illnesses Intervention Mental disorders Mental health Minority & ethnic groups Multivariate analysis Prisoners Prisons Public health Race Recidivism Regression analysis Risk Risk groups Risk taking Sensitivity analysis Sexually transmitted diseases Social factors Statistical analysis STD Trust Viral infections Viruses |
title | Correlates of Hepatitis C Virus Infection in the Targeted Testing Program of the New York City Jail System: Epidemiologic Patterns and Priorities for Action |
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