scholarly journals Health Department Efforts to Increase Hepatitis C RNA Testing Among People Appearing Out of Care: Comparison of Outreach Approaches, New York City, 2017

2020 ◽  
Vol 135 (6) ◽  
pp. 823-830
Author(s):  
Rachel Webster ◽  
Miranda S. Moore ◽  
Angelica Bocour ◽  
Nirah Johnson ◽  
Ann Winters
Keyword(s):  
New York ◽  
New York City ◽  
Hepatitis C ◽  
York City ◽  
Hcv Infection ◽  
Surveillance Data ◽  
Telephone Call ◽  
Control Group ◽  
First Report ◽  
Subsequent Test

Objectives Hepatitis C virus (HCV) infection is a serious health problem in New York City. Although curative treatments are available, many people are out of care. The New York City Department of Health and Mental Hygiene (DOHMH) used surveillance data and various outreach methods to attempt to link to care people diagnosed with HCV infection from 2010 through 2015. Methods We randomly assigned people out of care (ie, no HCV test >6 months after first report) to 4 outreach groups: no outreach (control group); letter only; letter and telephone call; and letter, text message, and telephone call. Three months after outreach ended, we analyzed surveillance data to identify people with a subsequent HCV RNA or genotype test suggesting linkage to care. Results Of 2626 selected people, 199 (7.6%) had a subsequent HCV test. People in all 3 outreach groups had higher odds of a subsequent test than people in the control group (letter only: adjusted odds ratio [aOR] = 1.81 [95% CI, 1.18-2.91]; letter and telephone: aOR = 3.11 [95% CI, 1.67-5.79]; letter, text, and telephone: aOR = 3.17 [95% CI, 1.48-6.51]). People in the letter and telephone group had higher odds of a subsequent test than people in the letter-only group (aOR = 1.72; 95% CI, 1.04-2.74). Most people in the letter and telephone (136/200, 68.0%) and the letter, text, and telephone (71/99, 71.7%) groups could not be reached, primarily because telephone numbers were incorrect or out of service. Conclusion Reaching out to people soon after first report or prioritizing groups in which more recent contact information can be found might improve outcomes of future outreach.

scholarly journals Estimating the prevalence of hepatitis C infection in New York City using surveillance data

2013 ◽  
Vol 142 (2) ◽  
pp. 262-269 ◽  
Author(s):  
S. BALTER ◽  
J. H. STARK ◽  
J. KENNEDY ◽  
K. BORNSCHLEGEL ◽  
K. KONTY
Keyword(s):  
New York ◽  
New York City ◽  
Hepatitis C ◽  
York City ◽  
Surveillance Data ◽  
Hepatitis C Infection ◽  
Local Public Health ◽  
Prevalence Estimates ◽  
The Usa ◽  
Public Health Officials

SUMMARYHepatitis C virus is the most common chronic blood-borne infection in the USA. Based on results of a serosurvey, national prevalence is estimated to be 1·3% or 3·2 million people. Sub-national estimates are not available for most jurisdictions. Hepatitis C surveillance data was adjusted for death, out-migration, under-diagnosis, and undetectable blood RNA, to estimate prevalence in New York City (NYC). The prevalence of hepatitis C infection in adults aged ⩾20 years in NYC is 2·37% (range 1·53–4·90%) or 146 500 cases of hepatitis C. This analysis presents a mechanism for generating prevalence estimates using local surveillance data accounting for biases and difficulty in accessing hard to reach populations. As the cohort of patients with hepatitis C age and require additional medical care, local public health officials will need a method to generate prevalence estimates to allocate resources. This approach can serve as a guideline for generating local estimates using surveillance data that is less resource prohibitive.

Detection of Recurrent Hepatitis C Viremia Using Surveillance Data, New York City

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Kevin Guerra ◽  
Angelica Bocour ◽  
Miranda S. Moore ◽  
Ann Winters
Keyword(s):  
New York ◽  
New York City ◽  
Hepatitis C ◽  
York City ◽  
Surveillance Data ◽  
Recurrent Hepatitis ◽  
Recurrent Hepatitis C

scholarly journals Correlates of Hepatitis C Virus Infection in the Targeted Testing Program of the New York City Jail System

2016 ◽  
Vol 132 (1) ◽  
pp. 41-47 ◽  
Author(s):  
Matthew J. Akiyama ◽  
Fatos Kaba ◽  
Zachary Rosner ◽  
Howard Alper ◽  
Aimee Kopolow ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
York City ◽  
Public Health Intervention ◽  
Hcv Infection ◽  
Antibody Positivity ◽  
Hcv Antibody ◽  
Hispanic White

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.

scholarly journals Prevalence and mapping of hepatitis C infections among men who have sex with men in New York City

PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0200269 ◽  
Author(s):  
Hong-Van Tieu ◽  
Oliver Laeyendecker ◽  
Vijay Nandi ◽  
Rebecca Rose ◽  
Reinaldo Fernandez ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Hepatitis C ◽  
York City ◽  
Sex With Men

Mo1444 CHARACTERIZATION OF PATIENTS WITH CHRONIC HEPATITIS C (C-HCV) ATTENDED AT A HEPATOLOGY CLINIC OF A COMMUNITY HOSPITAL IN NORTH BROOKLYN IN NEW YORK CITY (NYC).

2020 ◽  
Vol 158 (6) ◽  
pp. S-879
Author(s):  
Roshan Patel ◽  
Ahmed Shady ◽  
Tarek H. Alansari ◽  
Albina Aylyarova ◽  
Vivian Istafanos ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Chronic Hepatitis ◽  
Hepatitis C ◽  
Chronic Hepatitis C ◽  
York City ◽  
Community Hospital

Monitoring Outcomes for Newly Diagnosed and Prevalent HIV Cases Using a Care Continuum Created With New York City Surveillance Data

2015 ◽  
Vol 68 (2) ◽  
pp. 217-226 ◽  
Author(s):  
Ellen W. Wiewel ◽  
Sarah L. Braunstein ◽  
Qiang Xia ◽  
Colin W. Shepard ◽  
Lucia V. Torian
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Surveillance Data ◽  
Newly Diagnosed ◽  
Care Continuum

scholarly journals Surveillance data confirm multiyear predictions of rotavirus dynamics in New York City

2020 ◽  
Vol 6 (9) ◽  
pp. eaax0586
Author(s):  
Donald R. Olson ◽  
Benjamin A. Lopman ◽  
Kevin J. Konty ◽  
Robert W. Mathes ◽  
Vikki Papadouka ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Mechanistic Model ◽  
Emergency Department Visits ◽  
Surveillance Data ◽  
Older Children ◽  
Epidemic Dynamics ◽  
Out Of Sample ◽  
Diarrheal Incidence

Prediction skill is a key test of models for epidemic dynamics. However, future validation of models against out-of-sample data is rare, partly because of a lack of timely surveillance data. We address this gap by analyzing the response of rotavirus dynamics to infant vaccination. Syndromic surveillance of emergency department visits for diarrhea in New York City reveals a marked decline in diarrheal incidence among infants and young children, in line with data on rotavirus-coded hospitalizations and laboratory-confirmed cases, and a shift from annual to biennial epidemics increasingly affecting older children and adults. A published mechanistic model qualitatively predicted these patterns more than 2 years in advance. Future efforts to increase vaccination coverage may disrupt these patterns and lead to further declines in the incidence of rotavirus-attributable gastroenteritis.

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