title: A tale of two cities: factors affecting place of cancer death in London and New York.
abstract: BACKGROUND
  Most American and English cancer patients prefer to die at home. Factors associated with greater likelihood of dying at home have been contradictory in many studies and no studies have compared the effects of factors in different countries. The objective of this paper is to compare the factors affecting place of cancer death in two major cities, New York and London.
  
  
  METHODS
  We use data on all individuals aged >/=40 dying of cancer in London (59 604) and New York City (51 668) in the years 1995 through 1998. The probability of death at home is examined in each city as a function of gender, age group (40-55, 56-64, 65-74, 75+), year, type of cancer, and area socioeconomic status, using multiple logistic regression.
  
  
  RESULTS
  Although the probability of death at home is the same in the two cities (approximately 1 in 5), being female lowers the odds of death at home by approximately 7% in London, and raises it by approximately 22% in New York. Older age is associated with increased odds of dying at home in New York but decreased odds of dying at home in London. Being in the lowest tercile of socioeconomic status (relative to the highest) lowers the odds of death at home by 22% in London and 39% in New York.
  
  
  CONCLUSIONS
  Site of death varies significantly by patient and area characteristics in both cities, an understanding, which should be taken account of in future planning of end-of-life care.
authors.affiliation: National Center for Health Statistics and National Bureau of Economic Research, MD 20782, USA. SDecker@cdc.gov
authors.forename: Sandra L
authors.initials: SL
authors.lastname: Decker
authors.forename: Irene J
authors.initials: IJ
authors.lastname: Higginson
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001293:Attitude to Death; D005260:Female; D006699:Home Care Services / Q000706:statistics & numerical data*; D006738:Hospices / Q000706:statistics & numerical data*; D006801:Humans; D008131:London / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000145:classification / Q000401:mortality*; D009519:New York City / Q000453:epidemiology; D009735:Nursing Homes / Q000706:statistics & numerical data; D011336:Probability; D012111:Residence Characteristics / Q000706:statistics & numerical data; D012737:Sex Factors; D012959:Socioeconomic Factors; D013727:Terminal Care / Q000639:trends*; D014504:Urban Health