Literature DB >> 10721346

Accessibility to general practitioners in rural South Australia. A case study using geographic information system technology.

E J Bamford1, L Dunne, D S Taylor, B G Symon, G J Hugo, D Wilkinson.   

Abstract

OBJECTIVE: To demonstrate the potential of GIS (geographic information system) technology and ARIA (Accessibility/Remoteness Index for Australia) as tools for medical workforce and health service planning in Australia.
DESIGN: ARIA is an index of remoteness derived by measuring road distance between populated localities and service centres. A continuous variable of remoteness from 0 to 12 is generated for any location in Australia. We created a GIS, with data on location of general practitioner services in non-metropolitan South Australia derived from the database of RUMPS (Rural Undergraduate Medical Placement System), and estimated, for the 1170 populated localities in South Australia, the accessibility/inaccessibility of the 109 identified GP services. MAIN OUTCOME MEASURES: Distance from populated locality to GP services.
RESULTS: Distance from populated locality to GP service ranged from 0 to 677 km (mean, 58 km). In all, 513 localities (43%) had a GP service within 20 km (for the majority this meant located within the town). However, for 173 populated localities (15%), the nearest GP service was more than 80 km away. There was a strong correlation between distance to GP service and ARIA value for each locality (0.69; P < 0.05).
CONCLUSIONS: GP services are relatively inaccessible to many rural South Australian communities. There is potential for GIS and for ARIA to contribute to rational medical workforce and health service planning. Adding measures of health need and more detailed data on types and extent of GP services provided will allow more sophisticated planning.

Entities:  

Mesh:

Year:  1999        PMID: 10721346

Source DB:  PubMed          Journal:  Med J Aust        ISSN: 0025-729X            Impact factor:   7.738


  8 in total

1.  Assessing the cost-effectiveness of drug and lifestyle intervention following opportunistic screening for pre-diabetes in primary care.

Authors:  M Y Bertram; S S Lim; J J Barendregt; T Vos
Journal:  Diabetologia       Date:  2010-02-05       Impact factor: 10.122

2.  Geographic approaches to quantifying the risk environment: drug-related law enforcement and access to syringe exchange programmes.

Authors:  Hannah L F Cooper; Brian Bossak; Barbara Tempalski; Don C Des Jarlais; Samuel R Friedman
Journal:  Int J Drug Policy       Date:  2008-10-28

3.  Quantitative measurements of inequality in geographic accessibility to pediatric care in Oita Prefecture, Japan: standardization with complete spatial randomness.

Authors:  Susumu Tanimura; Masayuki Shima
Journal:  BMC Health Serv Res       Date:  2011-07-07       Impact factor: 2.655

4.  Cost-effectiveness of pharmacotherapy to reduce obesity.

Authors:  J Lennert Veerman; Jan J Barendregt; Megan Forster; Theo Vos
Journal:  PLoS One       Date:  2011-10-27       Impact factor: 3.240

5.  The effect of the development of an emergency transfer system on the travel time to tertiary care centres in Japan.

Authors:  Makiko Miwa; Hiroyuki Kawaguchi; Hideaki Arima; Kazuo Kawahara
Journal:  Int J Health Geogr       Date:  2006-06-04       Impact factor: 3.918

6.  Assessment of the spatial accessibility to health professionals at French census block level.

Authors:  Fei Gao; Wahida Kihal; Nolwenn Le Meur; Marc Souris; Séverine Deguen
Journal:  Int J Equity Health       Date:  2016-08-02

7.  Does the edge effect impact on the measure of spatial accessibility to healthcare providers?

Authors:  Fei Gao; Wahida Kihal; Nolwenn Le Meur; Marc Souris; Séverine Deguen
Journal:  Int J Health Geogr       Date:  2017-12-11       Impact factor: 3.918

8.  Comparing alternative approaches to measuring the geographical accessibility of urban health services: Distance types and aggregation-error issues.

Authors:  Philippe Apparicio; Mohamed Abdelmajid; Mylène Riva; Richard Shearmur
Journal:  Int J Health Geogr       Date:  2008-02-18       Impact factor: 3.918

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.