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      Geographic Information System-based Screening for TB, HIV, and Syphilis (GIS-THIS): A Cross-Sectional Study

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          Abstract

          Objective

          To determine the feasibility and case detection rate of a geographic information systems (GIS)-based integrated community screening strategy for tuberculosis, syphilis, and human immunodeficiency virus (HIV).

          Design

          Prospective cross-sectional study of all participants presenting to geographic hot spot screenings in Wake County, North Carolina.

          Methods

          The residences of tuberculosis, HIV, and syphilis cases incident between 1/1/05–12/31/07 were mapped. Areas with high densities of all 3 diseases were designated “hot spots.” Combined screening for tuberculosis, HIV, and syphilis were conducted at the hot spots; participants with positive tests were referred to the health department.

          Results and Conclusions

          Participants (N = 247) reported high-risk characteristics: 67% previously incarcerated, 40% had lived in a homeless shelter, and 29% had a history of crack cocaine use. However, 34% reported never having been tested for HIV, and 41% did not recall prior tuberculin skin testing. Screening identified 3% (8/240) of participants with HIV infection, 1% (3/239) with untreated syphilis, and 15% (36/234) with latent tuberculosis infection. Of the eight persons with HIV, one was newly diagnosed and co-infected with latent tuberculosis; he was treated for latent TB and linked to an HIV provider. Two other HIV-positive persons had fallen out of care, and as a result of the study were linked back into HIV clinics. Of 27 persons with latent tuberculosis offered therapy, nine initiated and three completed treatment. GIS-based screening can effectively penetrate populations with high disease burden and poor healthcare access. Linkage to care remains challenging and will require creative interventions to impact morbidity.

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          Most cited references27

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          Cost-effectiveness of screening for HIV in the era of highly active antiretroviral therapy.

          The costs, benefits, and cost-effectiveness of screening for human immunodeficiency virus (HIV) in health care settings during the era of highly active antiretroviral therapy (HAART) have not been determined. We developed a Markov model of costs, quality of life, and survival associated with an HIV-screening program as compared with current practice. In both strategies, symptomatic patients were identified through symptom-based case finding. Identified patients started treatment when their CD4 count dropped to 350 cells per cubic millimeter. Disease progression was defined on the basis of CD4 levels and viral load. The likelihood of sexual transmission was based on viral load, knowledge of HIV status, and efficacy of counseling. Given a 1 percent prevalence of unidentified HIV infection, screening increased life expectancy by 5.48 days, or 4.70 quality-adjusted days, at an estimated cost of 194 dollars per screened patient, for a cost-effectiveness ratio of 15,078 dollars per quality-adjusted life-year. Screening cost less than 50,000 dollars per quality-adjusted life-year if the prevalence of unidentified HIV infection exceeded 0.05 percent. Excluding HIV transmission, the cost-effectiveness of screening was 41,736 dollars per quality-adjusted life-year. Screening every five years, as compared with a one-time screening program, cost 57,138 dollars per quality-adjusted life-year, but was more attractive in settings with a high incidence of infection. Our results were sensitive to the efficacy of behavior modification, the benefit of early identification and therapy, and the prevalence and incidence of HIV infection. The cost-effectiveness of routine HIV screening in health care settings, even in relatively low-prevalence populations, is similar to that of commonly accepted interventions, and such programs should be expanded. Copyright 2005 Massachusetts Medical Society.
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            Vulnerability and unmet health care needs. The influence of multiple risk factors.

            Previous studies have demonstrated a strong association between minority race, low socioeconomic status (SES), and lack of potential access to care (e.g., no insurance coverage and no regular source of care) and poor receipt of health care services. Most studies have examined the independent effects of these risk factors for poor access, but more practical models are needed to account for the clustering of multiple risks. To present a profile of risk factors for poor access based on income, insurance coverage, and having a regular source of care, and examine the association of the profiles with unmet health care needs due to cost. Relationships are examined by race/ethnicity. Analysis of 32,374 adults from the 2000 National Health Interview Survey. Reported unmet needs due to cost: missing/delaying needed medical care, and delaying obtaining prescriptions, mental health care, or dental care. Controlling for personal demographic and community factors, individuals who were low income, uninsured, and had no regular source of care were more likely to miss or delay needed health care services due to cost. After controlling for these risk factors, whites were more likely than other racial/ethnic groups to report unmet needs. When presented as a risk profile, a clear gradient existed in the likelihood of having an unmet need according to the number of risk factors, regardless of racial/ethnic group. Unmet health care needs due to cost increased with higher risk profiles for each racial and ethnic group. Without attention to these co-occurring risk factors for poor access, it is unlikely that substantial reductions in disparities will be made in assuring access to needed health care services among vulnerable populations.
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              Tuberculosis transmission patterns in a high-incidence area: a spatial analysis.

              In the Cape Town suburbs of Ravensmead and Uitsig, tuberculosis has reached epidemic levels, with notifications of 1340/100,000 in 1996. These suburbs are characterised by overcrowding, high unemployment and poverty. It is traditionally believed that tuberculosis transmission takes place mainly in households after close contact with an infectious person. Studies have recently linked tuberculosis transmission to locations outside the household, and have associated these places with a particular high-risk lifestyle. Anthropological studies in some suburbs of Cape Town, in which a very high number of local drinking places (shebeens) were identified (17 per km2), have suggested that social drinking is part of such a lifestyle. To investigate various risk factors and places of transmission of tuberculosis using a geographical information system (GIS). The 1128 bacteriologically-proven cases of tuberculosis studied over the period 1993-1998 were investigated using spatial epidemiological techniques of exploratory disease mapping. Point pattern analysis and spatial statistics indicated clustering of cases in the areas of high incidence. Significant associations of tuberculosis notifications were found with unemployment, overcrowding and number of shebeens per enumerator sub-district. High tuberculosis notifications with unemployment and its associated poverty emerged as the strongest association.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                2 October 2012
                : 7
                : 10
                : e46029
                Affiliations
                [1 ]Department of Medicine, Duke University Medical Center, Durham, North Carolina, United States of America
                [2 ]Wake County Human Services, Raleigh, North Carolina, United States of America
                [3 ]Wake County Community Services, Raleigh, North Carolina, United States of America
                McGill University, Canada
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: NDG JES. Performed the experiments: MAA CP CV EJH GMC DPH SN AM YT SS BLN DT PHP. Analyzed the data: NDG JES. Contributed reagents/materials/analysis tools: CV. Wrote the paper: NDG. Contributed major manuscript revisions: JES CV EJH DPH SN BLN.

                Article
                PONE-D-12-14146
                10.1371/journal.pone.0046029
                3462803
                23056227
                8f028ed1-86ef-4fb2-854f-94cd6d757284
                Copyright @ 2012

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 16 May 2012
                : 27 August 2012
                Page count
                Pages: 8
                Funding
                This work was supported by the National Institutes of Health T32 AIDS Training Grant to N.D.G. (5T32-AI007392-22) and a developmental grant to J.E.S. from the Duke Center for AIDS Research (CFAR), an National Institutes of Health funded program (P30A164518). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine
                Clinical Research Design
                Cross-Sectional Studies
                Infectious Diseases
                Bacterial Diseases
                Tuberculosis
                Sexually Transmitted Diseases
                AIDS
                Syphilis
                Public Health
                Disease Ecology
                Environmental Health
                Health Screening
                Socioeconomic Aspects of Health

                Uncategorized
                Uncategorized

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