GP attendance by elderly Australians: evidence for unmet need in elderly men

Med J Aust. 1997 Feb 3;166(3):123-6. doi: 10.5694/j.1326-5377.1997.tb140040.x.

Abstract

Objectives: To examine GP service use by elderly people and, in particular, to compare those who had not consulted a GP in one year with those who were low attenders and those who were high attenders.

Design: Medicare data on GP service use were matched to data collected by interview in 1990-1991 and reinterview in 1994 as part of a community study on health and well-being.

Setting: Canberra and Queanbeyan in the Australian Capital Territory.

Participants: People aged 70 years and over, living in the community.

Main outcome measures: The number of visits made to a GP in 12 months.

Results: Medicare data were available for 624 of the 897 participants interviewed (70%). While the women non-attenders reported similar levels of physical illness and symptoms to the low attenders, men non-attenders reported significantly higher levels of illness (P < 0.01) than the low-attender group. The health of men who were non-attenders was very similar to men who were high attenders of GP services. Men who had not seen a GP in one year reported significantly more pain (P = 0.002) and less social support than both low attenders and high attenders (P = 0.012 and P = 0.049, respectively).

Conclusion: We identified a group of men who had not attended a GP in one year, despite significant levels of morbidity. Such a group may benefit from consultation with a GP and could be targeted in any attempt to improve elderly men's health.

MeSH terms

  • Aged
  • Analysis of Variance
  • Australia / epidemiology
  • Chi-Square Distribution
  • Female
  • Health Services Needs and Demand / statistics & numerical data*
  • Health Services for the Aged / statistics & numerical data*
  • Humans
  • Longitudinal Studies
  • Male
  • Medicine / statistics & numerical data
  • Morbidity*
  • National Health Programs / statistics & numerical data
  • Population Surveillance
  • Primary Health Care / statistics & numerical data*
  • Sex Distribution
  • Social Support
  • Specialization
  • Survival Analysis