Objectives: Screening for hepatitis C virus (HCV) infection in jail provides an opportunity to educate and offer care to a high-risk population. We aimed to (1) estimate the prevalence of HCV infection in jail; (2) describe the demographic characteristics, risk factors, and pre-incarceration health insurance status associated with HCV infection; and (3) examine the implementation of HCV screening in jail. Methods: We conducted a retrospective analysis of an opt-out HCV screening program with HCV RNA confirmation and patient education at the Dallas County Jail from April 1 through November 2, 2017. We extracted data on test results, demographic characteristics, and release destination from electronic medical records. A nurse navigator recorded data on patient self-reported risk factors and pre-incarceration health insurance status. Results: Of 4089 incarcerated persons screened, 708 (17.3%) had a positive HCV antibody result. Of these, 641 (90.5%) had an HCV RNA test ordered; 576 (89.9%) had RNA tests completed, of whom 413 (71.7%) had a positive HCV RNA result. Of these 413, 352 (85.2%) received patient education. Half of HCV RNA-positive incarcerated persons (n = 207, 50.1%) were born outside the birth cohort (1945-1965). Among those with HCV infection, commonly reported risk factors were injection drug use (168 of 352; 47.8%) and tattoos (82 of 352; 23.4%). Most incarcerated persons with HCV infection (284 of 350; 81.1%) did not have health insurance. HCV antibody prevalence was higher among incarcerated persons released to prison (232 of 961; 24.1%) than to outside agencies (38 of 403; 9.4%) or the community (178 of 1026; 17.4%). Conclusions: Screening for HCV with RNA confirmation in jail provides an opportunity for disease education, transmission prevention, and navigation to HCV treatment. Future efforts should examine post-incarceration linkage to care.
Background The Supplemental Nutrition Assistance Program (SNAP) expanded significantly after the Great Recession of 2008–2009, but no studies have characterized this new group of recipients. Few data sets provide details on whether an individual is a new or established recipient of SNAP. Objective We sought to identify new and existing SNAP recipients, and to examine differences in sociodemographic characteristics, health, nutritional status, and food purchasing behavior between new and existing recipients of SNAP after the recession. Methods We created a probabilistic algorithm to identify new and existing SNAP recipients using the 1999–2013 waves of the Panel Study of Income Dynamics. We applied this algorithm to the National Household Food Acquisition and Purchase Survey (FoodAPS), fielded during 2012–2013, to predict which individuals were likely to be new SNAP recipients. We then compared health and nutrition characteristics between new, existing, and never recipients of SNAP in FoodAPS. Results New adult SNAP recipients had higher socioeconomic status, better self-reported health, and greater food security relative to existing recipients, and were more likely to smoke relative to never recipients. New child SNAP recipients were less likely to eat all meals and had lower BMI relative to existing recipients. New SNAP households exhibited differences in food access and expenditures, although dietary quality was similar to that of existing SNAP households. Conclusion We developed a novel algorithm for predicting new and existing SNAP recipiency that can be applied to other data sets, and subsequently demonstrated differences in health characteristics between new and existing recipients. The expansion of SNAP since the Great Recession enrolled a population that differed from the existing SNAP population and that may benefit from different types of nutritional and health services than those traditionally offered.
The substantial social and economic burden attributable to smoking is well-known, with heavy smokers at higher risk of chronic disease and premature mortality than light smokers and nonsmokers. In aging societies with high rates of male smoking such as in East Asia, smoking is a leading preventable risk factor for extending lives (including work-lives) and healthy aging. However, little is known about whether smoking interventions targeted at heavy smokers relative to light smokers lead to disproportionately larger improvements in life expectancy and prevalence of chronic diseases and how the effects vary across populations. Using a microsimulation model, we examined the health effects of smoking reduction by simulating an elimination of smoking among subgroups of smokers in South Korea, Singapore, and the United States. We found that life expectancy would increase by 0.2 to 1.5 years among light smokers and 2.5 to 3.7 years among heavy smokers. Whereas both interventions led to an increased life expectancy and decreased the prevalence of chronic diseases in all three countries, the life-extension benefits were greatest for those who would otherwise have been heavy smokers. Our findings illustrate how smoking interventions may have significant economic and social benefits, especially for life extension, that vary across countries.
Asia is home to the most rapidly aging populations in the world. This study focuses on two countries in Asia that are advanced in terms of their demographic transition: the Republic of Korea and Singapore. We developed a demographic and economic state-transition microsimulation model based on the Korean Longitudinal Study of Aging and the Singapore Chinese Health Study. The model was employed to compare projections of functional status and disability among future cohorts of older adults, including disparities in disability prevalence by educational attainment. The model also projects increasing disparities in the prevalence of activities-of-daily-living disability and other chronic diseases between those with low and high educational attainment. Despite overall increases in educational attainment, all elderly, including those with a college degree, experience an increased burden of functional disability and chronic diseases because of survival to older ages. These increases have significant economic and social implications, including increased medical and long-term care expenditures, and an increased caregiver burden.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.