Literature DB >> 10937405

Differential effects on socioeconomic groups of modelling the location of mammography screening clinics using Geographic Information Systems.

J C Hyndman1, C D Holman.   

Abstract

OBJECTIVE: To evaluate spatial access to mammography clinics and to investigate whether relocating clinics can improve global access. To determine whether any change in access is distributed equitably between different social groups.
METHODS: The study was undertaken in Perth, Western Australia in 1996. It was an analysis of travel distances to mammography clinics, comparing distances to the pattern of existing clinics and modelled relocated clinics. The study population was the 151,162 women aged 40-64 years resident in Perth in 1991.
RESULTS: Overall travel distances to the existing clinics was reduced by 14% when a GIS system was used to relocate them so as to minimise the travel distance for all women. The travel distance of the most disadvantaged groups fell by 2% and by 24% for the least disadvantaged group.
CONCLUSIONS: GIS modelling can be used to advantage to evaluate potential locations for screening clinics that improve the access for the target population, however global analysis should be supplemented by analysis of special groups to ensure that no group is disadvantaged by the proposal. IMPLICATIONS: If new technology is not used to evaluate the placement of health services, population travel distances may be greater than necessary, with possible impacts on attendance rates.

Entities:  

Mesh:

Year:  2000        PMID: 10937405     DOI: 10.1111/j.1467-842x.2000.tb01569.x

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


  5 in total

1.  Is neighborhood access to health care provision associated with individual-level utilization and satisfaction?

Authors:  Rosemary Hiscock; Jamie Pearce; Tony Blakely; Karen Witten
Journal:  Health Serv Res       Date:  2008-07-29       Impact factor: 3.402

2.  Access to Mammography Facilities and Detection of Breast Cancer by Screening Mammography: A GIS Approach.

Authors:  Selina Rahman; James H Price; Mark Dignan; Saleh Rahman; Peter S Lindquist; Timothy R Jordan
Journal:  Int J Canc Prev       Date:  2009

Review 3.  Understanding the effects of socioeconomic status along the breast cancer continuum in Australian women: a systematic review of evidence.

Authors:  Greg Lyle; Gilly A Hendrie; Delia Hendrie
Journal:  Int J Equity Health       Date:  2017-10-16

4.  A cancer geography paradox? Poorer cancer outcomes with longer travelling times to healthcare facilities despite prompter diagnosis and treatment: a data-linkage study.

Authors:  Melanie Turner; Shona Fielding; Yuhan Ong; Chris Dibben; Zhiqianq Feng; David H Brewster; Corri Black; Amanda Lee; Peter Murchie
Journal:  Br J Cancer       Date:  2017-06-22       Impact factor: 7.640

5.  Individual and neighborhood socioeconomic status and healthcare resources in relation to black-white breast cancer survival disparities.

Authors:  Tomi F Akinyemiju; Amr S Soliman; Norman J Johnson; Sean F Altekruse; Kathy Welch; Mousumi Banerjee; Kendra Schwartz; Sofia Merajver
Journal:  J Cancer Epidemiol       Date:  2013-02-20
  5 in total

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