1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Patient characteristics and neighborhood attributes associated with hepatitis C screening and positivity in Philadelphia

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Among patients of an urban primary care network in Philadelphia with a universal hepatitis C virus (HCV) screening policy for patients born during 1945–1965, we examined whether being unscreened and HCV positivity were associated with attributes of the census tracts where patients resided, which we considered as proxies for social health determinants. For patients with at least one clinic visit between 2014 and mid-2017, we linked demographic and HCV screening information from electronic health records with metrics that described the census tracts where patients resided. We used generalized estimating equations to estimate adjusted relative risk ratios (aRRs) for being unscreened and HCV positive. Overall, 28% of 6,906 patients were unscreened. Black race, male gender, and residence in census tracts with relatively high levels of violent crime, low levels of educational attainment and household incomes, and evidence of residential segregation by Hispanic ethnicity were associated with lower aRRs for being unscreened. Among screened patients, 9% were HCV positive. Factors associated with lower risks of being unscreened were, in general, associated with higher HCV positivity. Attributes of census tracts where patients reside are probably less apparent to clinicians than patients’ gender or race but might reflect unmeasured patient characteristics that affected screening practices, along with preconceptions regarding the likelihood of HCV infection based on prior screening observations or implicit biases. Approaching complete detection of HCV-infected people would be hastened by focusing on residents of census tracts with attributes associated with higher infection levels or, if known, higher infection levels directly.

          Related collections

          Most cited references25

          • Record: found
          • Abstract: found
          • Article: not found

          Neighborhoods and health.

          Features of neighborhoods or residential environments may affect health and contribute to social and race/ethnic inequalities in health. The study of neighborhood health effects has grown exponentially over the past 15 years. This chapter summarizes key work in this area with a particular focus on chronic disease outcomes (specifically obesity and related risk factors) and mental health (specifically depression and depressive symptoms). Empirical work is classified into two main eras: studies that use census proxies and studies that directly measure neighborhood attributes using a variety of approaches. Key conceptual and methodological challenges in studying neighborhood health effects are reviewed. Existing gaps in knowledge and promising new directions in the field are highlighted.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The prevalence of hepatitis C virus infection in the United States, 1999 through 2002.

            Defining the primary characteristics of persons infected with hepatitis C virus (HCV) enables physicians to more easily identify persons who are most likely to benefit from testing for the disease. To describe the HCV-infected population in the United States. Nationally representative household survey. U.S. civilian, noninstitutionalized population. 15,079 participants in the National Health and Nutrition Examination Survey between 1999 and 2002. All participants provided medical histories, and those who were 20 to 59 years of age provided histories of drug use and sexual practices. Participants were tested for antibodies to HCV (anti-HCV) and HCV RNA, and their serum alanine aminotransferase (ALT) levels were measured. The prevalence of anti-HCV in the United States was 1.6% (95% CI, 1.3% to 1.9%), equating to an estimated 4.1 million (CI, 3.4 million to 4.9 million) anti-HCV-positive persons nationwide; 1.3% or 3.2 million (CI, 2.7 million to 3.9 million) persons had chronic HCV infection. Peak prevalence of anti-HCV (4.3%) was observed among persons 40 to 49 years of age. A total of 48.4% of anti-HCV-positive persons between 20 and 59 years of age reported a history of injection drug use, the strongest risk factor for HCV infection. Of all persons reporting such a history, 83.3% had not used injection drugs for at least 1 year before the survey. Other significant risk factors included 20 or more lifetime sex partners and blood transfusion before 1992. Abnormal serum ALT levels were found in 58.7% of HCV RNA-positive persons. Three characteristics (abnormal serum ALT level, any history of injection drug use, and history of blood transfusion before 1992) identified 85.1% of HCV RNA-positive participants between 20 and 59 years of age. Incarcerated and homeless persons were not included in the survey. Many Americans are infected with HCV. Most were born between 1945 and 1964 and can be identified with current screening criteria. History of injection drug use is the strongest risk factor for infection.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Implicit Racial/Ethnic Bias Among Health Care Professionals and Its Influence on Health Care Outcomes: A Systematic Review.

              In the United States, people of color face disparities in access to health care, the quality of care received, and health outcomes. The attitudes and behaviors of health care providers have been identified as one of many factors that contribute to health disparities. Implicit attitudes are thoughts and feelings that often exist outside of conscious awareness, and thus are difficult to consciously acknowledge and control. These attitudes are often automatically activated and can influence human behavior without conscious volition.
                Bookmark

                Author and article information

                Contributors
                Journal
                Prev Med Rep
                Preventive Medicine Reports
                2211-3355
                03 October 2022
                December 2022
                03 October 2022
                : 30
                : 102011
                Affiliations
                [a ]Drexel University College of Medicine and Drexel University Physicians Practice Plan, Philadelphia, PA, United States
                [b ]Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
                [c ]Department of Health Management and Policy, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
                Author notes
                [* ]Corresponding author at: 3215 Market Street, 3 rd Floor, Philadelphia, PA 19104, United States. jwb87@ 123456drexel.edu
                [1]

                Current affiliation: Division of Infectious Diseases, University of California San Francisco, San Francisco, CA, United States.

                [2]

                Current affiliation: Department of Medicine, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, United States.

                Article
                S2211-3355(22)00318-7 102011
                10.1016/j.pmedr.2022.102011
                9562417
                36245804
                ff80e6f0-687c-4100-8dd6-0a0878d0f9d4
                © 2022 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 15 February 2022
                : 27 September 2022
                : 1 October 2022
                Categories
                Regular Article

                hepatitis c screening,preventive health care services,social determinants of health,record linkages,geographic analysis,census tracts,primary care,hcv, hepatitis c virus,arr, adjusted relative risk,ehr, electronic health record,cdc, centers for disease control and prevention,gee, generalized estimating equation,ci, confidence interval

                Comments

                Comment on this article