The derivation of life tables for local areas. Export

@article{manuel_et_al_1998, abstract = {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.}, author = {Manuel, D. G. and Goel, V. and Williams, J. I.}, citeulike-article-id = {3404148}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/9664025}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=9664025}, comment = {Argues that because of a shift in health planning to the local level, there is a necessity to calculate life tables for the local area. Looks at migration, arguing that it is best considered at the discussion stage. ``The importance of calculating life expectancy at the local level is illustrated by the fact that, while the difference in life expectancy at birth between provinces is presently approximately 1 1/2 years,8 the differences are much larger among regions within British Columbia, Alberta, Ontario and Quebec.'' (p.52) - but what about random variation?}, issn = {0228-8699}, journal = {Chronic diseases in Canada}, keywords = {canada, disease-mapping, health-need, health-services, life-expectancy, life-table, mortality, nursing-homes, planning, small-area}, number = {2}, pages = {52--56}, posted-at = {2008-10-14 12:52:08}, priority = {0}, title = {The derivation of life tables for local areas.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/9664025}, volume = {19}, year = {1998} }

TY - JOUR ID - manuel_et_al_1998 L3 - citeulike-article-id:3404148 N2 - 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. IS - 2 JF - Chronic diseases in Canada SN - 0228-8699 EP - 56 TI - The derivation of life tables for local areas. VL - 19 SP - 52 KW - canada KW - disease-mapping KW - health-need KW - health-services KW - life-expectancy KW - life-table KW - mortality KW - nursing-homes KW - planning KW - small-area N1 - Argues that because of a shift in health planning to the local level, there is a necessity to calculate life tables for the local area. Looks at migration, arguing that it is best considered at the discussion stage. ``The importance of calculating life expectancy at the local level is illustrated by the fact that, while the difference in life expectancy at birth between provinces is presently approximately 1 1/2 years,8 the differences are much larger among regions within British Columbia, Alberta, Ontario and Quebec.'' (p.52) - but what about random variation? AU - Manuel, DG AU - Goel, V AU - Williams, JI PY - 1998/// UR - http://view.ncbi.nlm.nih.gov/pubmed/9664025 ER -