Literature DB >> 21481509

Does geographic access to primary healthcare influence the detection of hepatitis C?

Thomas Astell-Burt1, Robin Flowerdew, Paul J Boyle, John F Dillon.   

Abstract

Recent work in France has suggested that poor geographic access to primary healthcare may have a negative influence upon detection rates of the hepatitis C virus. Topography and poor infrastructure can exacerbate geographic remoteness, while the stigma surrounding hepatitis C and intravenous drug use may also discourage healthcare-seeking behaviour in rural communities with limited choice of general practitioner. No similar study has been conducted in the UK, where detection rates of hepatitis C are also low. Moreover, the previous French findings did not adjust for the uneven spatial distribution of HCV prevalence and associated risk factors, which raises the possibility that the reported travel-time associations were a reflection of greater hepatitis C prevalence in urban areas (where the travel-times to primary healthcare are short) and not an effect of geographic access to primary healthcare. Using geographic information systems, Poisson regression and a dataset from Tayside (Scotland), we explored whether lower rates of hepatitis C detection were associated with higher travel-times to primary healthcare. We tested whether any travel-time effects remained once the models were adjusted for deprivation, by controlling for the spatial variation of some of the known risk factors of hepatitis C infection. Separate models were calculated according to patient history of opiate substitution therapy to take account of people likely to have been infected through intravenous drug use. Rates of detected hepatitis C were highest among males aged between 25 and 39 years. A statistically significant travel-time-decay effect was observed, though with notable attenuation for all patients after adjusting for deprivation. Further modelling identified a travel-time effect only for those who had received opiate substitution therapy. The absence of a similar effect in the non-opiate substitution therapy group indicates that selection effects, not causation, are the most likely explanation for the initial travel-time-decay effects. Thus, future studies of hepatitis C detection and geographic access to primary healthcare will need to consider ways of controlling for the uneven spatial distribution of HCV prevalence and associated risk factors beyond ecological measures of socioeconomic deprivation.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21481509     DOI: 10.1016/j.socscimed.2011.02.015

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  12 in total

1.  Results from a Geographically Focused, Community-Based HCV Screening, Linkage-to-Care and Patient Navigation Program.

Authors:  Stacey B Trooskin; Joanna Poceta; Caitlin M Towey; Annajane Yolken; Jennifer S Rose; Najia L Luqman; Ta-Wanda L Preston; Philip A Chan; Curt Beckwith; Sophie C Feller; Hwajin Lee; Amy S Nunn
Journal:  J Gen Intern Med       Date:  2015-02-14       Impact factor: 5.128

2.  Healthcare contact and treatment uptake following hepatitis C virus screening and counseling among rural Appalachian people who use drugs.

Authors:  Dustin B Stephens; April M Young; Jennifer R Havens
Journal:  Int J Drug Policy       Date:  2017-06-23

Review 3.  Hepatitis C treatment access and uptake for people who inject drugs: a review mapping the role of social factors.

Authors:  Magdalena Harris; Tim Rhodes
Journal:  Harm Reduct J       Date:  2013-05-07

4.  Do low-income neighbourhoods have the least green space? A cross-sectional study of Australia's most populous cities.

Authors:  Thomas Astell-Burt; Xiaoqi Feng; Suzanne Mavoa; Hannah M Badland; Billie Giles-Corti
Journal:  BMC Public Health       Date:  2014-03-31       Impact factor: 3.295

5.  The distribution and socioeconomic burden of Hepatitis C virus in South Australia: a cross-sectional study 2010-2016.

Authors:  Bernard Luke Edmunds; Emma Ruth Miller; George Tsourtos
Journal:  BMC Public Health       Date:  2019-05-08       Impact factor: 3.295

6.  The Relationship Between Hepatitis C Virus Rates and Office-Based Buprenorphine Access in Ohio.

Authors:  Daniel L Brook; Angela T Hetrick; Shibani R Chettri; Christine A Schalkoff; Adams L Sibley; Kathryn E Lancaster; Vivian F Go; William C Miller; David M Kline
Journal:  Open Forum Infect Dis       Date:  2021-05-17       Impact factor: 3.835

7.  Exploring the relationship between population density and maternal health coverage.

Authors:  Michael Hanlon; Roy Burstein; Samuel H Masters; Raymond Zhang
Journal:  BMC Health Serv Res       Date:  2012-11-21       Impact factor: 2.655

8.  Comparing GIS-based measures in access to mammography and their validity in predicting neighborhood risk of late-stage breast cancer.

Authors:  Min Lian; James Struthers; Mario Schootman
Journal:  PLoS One       Date:  2012-08-28       Impact factor: 3.240

9.  Inequalities in the incidence of infectious disease in the North East of England: a population-based study.

Authors:  G J Hughes; R Gorton
Journal:  Epidemiol Infect       Date:  2014-03-18       Impact factor: 4.434

10.  People with multiple unhealthy lifestyles are less likely to consult primary healthcare.

Authors:  Xiaoqi Feng; Federico Girosi; Ian S McRae
Journal:  BMC Fam Pract       Date:  2014-06-26       Impact factor: 2.497

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