Increasingly inequitable distribution of general practitioners in Australia, 1986-96

Aust N Z J Public Health. 2001;25(1):66-70. doi: 10.1111/j.1467-842x.2001.tb00553.x.

Abstract

Objective: To document trends in the distribution of general practitioners (GPs) in Australia between 1986 and 1996, adjusted for community need.

Methods: Data on the location of GPs, population size and crude mortality in statistical divisions (SD) were obtained from the Australian Bureau of Statistics Census of Population and Housing in 1986 and 1996. From these data, we calculated measures of distribution equality (number of people sharing each GP in each SD) and distribution equity (number of people sharing each GP divided by the crude mortality rate; the Robin Hood Index), and analysed temporal changes in the distribution of GPs.

Results: Nationally, the number of people sharing each GP fell 11% from 1,038 in 1986 to 921 in 1996. However, in 41 of 57 SDs (72%, p=0.01) the number of people sharing a GP actually increased over this time, and the average Robin Hood Index across SDs fell from 0.943 to 0.783 (p=0.004), indicating increasingly inequitable distribution. Comparing the Robin Hood Index values of all SDs ranked in pairs, the value fell in 53 of 57 (93%, p<0.001) paired SDs over the decade. These patterns demonstrate increasing inequity over the decade. The number of people sharing each GP was consistently and substantially lower in the capital city SDs and the Robin Hood Index values were consistently and substantially higher (overserved) compared with country SDs.

Conclusions: Despite there being more GPs per capita in Australia, their distribution became increasingly unequal and inequitable between 1986 and 1996, such that rural and remote areas became increasingly poorly served.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Australia / epidemiology
  • Catchment Area, Health / statistics & numerical data*
  • Censuses
  • Chi-Square Distribution
  • Geography
  • Health Services Needs and Demand / classification*
  • Health Workforce / trends
  • Humans
  • Medically Underserved Area
  • Mortality
  • Physicians, Family / supply & distribution*
  • Population
  • Professional Practice Location / statistics & numerical data*
  • Rural Health Services
  • Socioeconomic Factors