Small area variations of cancer mortality in Hong Kong--the roles of health care and socio-economic status.
Variations of cancer incidence and cancer mortality across small areas in Hong Kong were explored and attempt made to link them to socio-economic differences. The entire Hong Kong population during the period 1984-88 was divided into 65 small areas. The geographic distributions of incidence and mortality for ten most frequent sites of cancers (6 male and 4 female) were analyzed by separating the systematic variance from the random variance. A Poisson regression model was fitted for each cancer using the standardized incidence ratio (SIR) as a covariate for mortality. The geographic variations in SIR for the individual cancers were, in turn, analyzed similarly using a socio-economic score as the covariate. We found a statistically significant systematic variance in mortality for all six male cancers and three of the four female cancers studied. More than 50% of the systematic variance of mortality for nine cancers could be explained by the geographic variations in incidence, suggesting that other factors, like the provision and/or outcomes of health care services, played a minor role. There were statistically significant systematic variances in SIR for all male and female cancers. The socio-economic score accounted for over 50% of the systematic variance for three cancer sites. This study illustrated an approach to explore underlying explanations for the geographic variations of disease incidence and mortality. As more aggregate exposure data become available at the small area level, this type of ecological analysis would help in delineating the contributions of various factors and guide investigators in their search for the etiology background of diseases.
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Department of Community & Family Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China. iyu@cuhk.edu.hk
Wong
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Wong
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D005260:Female; D006297:Health Services Accessibility; D006723:Hong Kong; D006801:Humans; D015994:Incidence; D008297:Male; D015233:Models, Statistical; D009369:Neoplasms / Q000453:epidemiology* / Q000401:mortality*; D016012:Poisson Distribution; D012044:Regression Analysis; D012737:Sex Factors; D012923:Social Class; D016896:Treatment Outcome