Demographic profile of the elderly population in Dublin accident and emergency hospital catchment areas

Ir Med J. 2004 Mar;97(3):84-6.

Abstract

The Dublin metropolitan area is now divided into a number of clearly defined accident and emergency (A & E) catchment areas since the closing of the smaller inner city hospitals and the opening of newer hospitals on the periphery of the city. We examined the demographic profile of the elderly population in Dublin city and county served by each of the new catchment areas. Whilst the elderly population make up 9.9% (105,188) of the Dublin population (1996 census) they make up over 20% of the A & E attendances and up to over 40% of the A & E admissions in major Dublin hospitals. There is a wide variation in the percentage elderly population in each hospital catchment area with inner more settled city areas having a much higher percentage elderly population over those hospital catchment areas that serve newer housing areas. We also looked at the level of deprivation. Combining the two most deprived levels St James's Hospital had the largest absolute number and the highest percentage of deprived elderly 12,736 (51.1%) followed by the Mater 6,919 (32.9%), Beaumont 5371 (31.5%), James Connolly 2,983 (38.1%), Tallaght 2012 (22.3%) and St Vincent's Hospital 1987 (7.7%). Hospitals with high numbers of elderly and serving deprived catchment areas face particular resource problems in meeting the needs of the population that they serve. A significant increase in the provision of publicly funded community facilities and long stay accommodation is required to meet the needs of the large number of deprived elderly in the inner city area. Failure to respond to these demographic challenges will have a profound effect on the ability of hospital emergency services to meet the increasing pressures posed by the high volume of acutely sick economically deprived elderly presenting to hospital accident and emergency departments.

MeSH terms

  • Aged
  • Catchment Area, Health / statistics & numerical data*
  • Emergency Service, Hospital / statistics & numerical data*
  • Hospitals, Urban / statistics & numerical data
  • Humans
  • Ireland
  • Patient Admission / statistics & numerical data
  • Population Surveillance*