The derivation of life tables for local areas.
Life tables are seldom derived at the local level, despite a shift toward health service planning to that level. We calculated life tables by sex for the 42 public health units in Ontario, using 1988 1992 mortality files. Traditional methods of life table construction were compared and validated. Data quality, particularly geographical coding of death certificates, poses the greatest difficulty in deriving accurate life tables for comparison between areas. Migration will affect estimates, but it is best considered during the interpretation of results. Except for the final age interval, methods of modelling life tables have little impact on final life expectancy estimates. It is feasible to calculate local level life tables with data and tools that are readily available. The results highlight the importance of examining such life tables, as variations within a province in life expectancy at birth may be as important as the differences between provinces.
Manuel
D G
DG
Community Medicine Residency Program, University of Toronto, Ontario, K1A 0L2, Canada.
Goel
V
V
Williams
J I
JI
D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D015982:Bias; D002391:Catchment Area, Health; D002648:Child; D002675:Child, Preschool; D018672:Community Health Planning / Q000379:methods*; D003627:Data Interpretation, Statistical; D003644:Death Certificates; D004641:Emigration and Immigration; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008017:Life Expectancy / Q000639:trends*; D015993:Life Tables; D008297:Male; D008875:Middle Aged; D009026:Mortality / Q000639:trends*; D009864:Ontario / Q000453:epidemiology; D011635:Public Health Administration; D015203:Reproducibility of Results; D017678:Sex Distribution; D017062:Small-Area Analysis