Literature DB >> 23041911

Defining GP practice areas based on true service utilisation.

Eleni Sofianopoulou1, Stephen Rushton, Greg Rubin, Tanja Pless-Mulloli.   

Abstract

Where patients who are registered with a general practice actually live (the service utilisation area) often differ from what GPs consider their practice boundaries or catchment area to be, as well as from administrative boundaries. A key aim of primary care commissioners is to allocate resources efficiently and to locate services in such a way that access is convenient for patients. To achieve this robust understanding of practice service utilisation areas and the overlap between practices and administrative areas are essential. We used kernel analysis of the postcodes of over 400,000 registered patients to define GP service utilisation areas. We estimated service utilisation for each of 64 practices for a period of five years (2002-2006) exploring the areas in which 99%, 98%, and 95% of registered patients were expected to live. These service utilisation areas were not coterminous with other practices or with administrative boundaries. We present a simple analytical method to define GP catchment areas that captures the true service utilisation area and identifies the extent of overlap. This is a practical tool that can assist health care commissioning. Crown
Copyright © 2012. Published by Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 23041911     DOI: 10.1016/j.healthplace.2012.08.006

Source DB:  PubMed          Journal:  Health Place        ISSN: 1353-8292            Impact factor:   4.078


  6 in total

1.  General practitioner (family physician) workforce in Australia: comparing geographic data from surveys, a mailing list and medicare.

Authors:  Soumya Mazumdar; Paul Konings; Danielle Butler; Ian Stewart McRae
Journal:  BMC Health Serv Res       Date:  2013-09-03       Impact factor: 2.655

2.  A sequential model for the structure of health care utilization.

Authors:  Wolfram J Herrmann; Alexander Haarmann; Anders Bærheim
Journal:  PLoS One       Date:  2017-05-12       Impact factor: 3.240

3.  Modeling Seasonal and Spatiotemporal Variation: The Example of Respiratory Prescribing.

Authors:  Eleni Sofianopoulou; Tanja Pless-Mulloli; Stephen Rushton; Peter J Diggle
Journal:  Am J Epidemiol       Date:  2017-07-01       Impact factor: 4.897

4.  Living environment, social support, and informal caregiving are associated with healthcare seeking behaviour and adherence to medication treatment: A cross-sectional population study.

Authors:  Erik Berglund; Per Lytsy; Ragnar Westerling
Journal:  Health Soc Care Community       Date:  2019-04-23

Review 5.  Catchments of general practice in different countries--a literature review.

Authors:  Donald P Allan
Journal:  Int J Health Geogr       Date:  2014-08-29       Impact factor: 3.918

6.  Use of age-specific hospital catchment populations to investigate geographical variation in inpatient admissions for children and young people in England: retrospective, cross-sectional study.

Authors:  Sandeepa Arora; C Ronny Cheung; Christopher Sherlaw-Johnson; Dougal S Hargreaves
Journal:  BMJ Open       Date:  2018-07-10       Impact factor: 2.692

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.