Ageing of the baby boomer generation: how demographic change will impact on city and rural GP and nursing workforce.
BACKGROUND



OBJECTIVE
To compare the impact of ageing on the GP and nursing rural and city workforce.


METHODS
Cohort analysis of Australian Bureau of Statistics census data. The data was used to examine the age distribution of the city and rural GP and nursing workforce; patterns of attrition for those 50 years and over; and the impact of changes in working hours.


RESULTS
The rural GP and nursing workforce is significantly older than their city counterparts (p<0.001) with the 'baby boomer' generation making up 52% of city GPs but 59% of rural GPs in 2001. While a large proportion of city and rural GPs continued to work past the age of 65 years, rural GPs left the workforce at a significantly younger age than city doctors (p<0.001). Rural nurses are older than their city peers (p<0.001) but retire at an older age than city nurses (p<0.001). In 1986, a significantly higher proportion of rural GPs in all age cohorts worked more than 41 hours per week compared with their city counterparts (p<0.001). By 2001, rural 'generation X' GPs were no more likely to work long hours than those in the city (p<0.001). However, significantly more rural than city 'baby boomers' continued to work long hours.


CONCLUSIONS
Rural GPs are retiring faster than city GPs and strategies to attract rural GPs and nurses will be critical to ensure adequate rural health care and that current rural workforce shortage do not worsen.
Schofield
D J
DJ
Faculty of Medicine, School of Public Health, Australian Rural Health Research Collaboration Northern Rivers University Department of Rural Health, Lismore NSW, Australia. dschofield@med.usyd.edu.au
Page
S L
SL
Lyle
D M
DM
Walker
T J
TJ
D000328:Adult; D017677:Age Distribution; D000368:Aged; D001315:Australia; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009726:Nurses / Q000706:statistics & numerical data*; D010821:Physicians, Family / Q000706:statistics & numerical data*; D011157:Population Dynamics; D012179:Retirement; D019035:Rural Health Services / Q000706:statistics & numerical data* / Q000639:trends; D019037:Urban Health Services / Q000706:statistics & numerical data* / Q000639:trends