Using administrative data to analyze the prevalence and distribution of schizophrenic disorders.
OBJECTIVE
In order to effectively plan and implement psychiatric services, a clear estimate of the prevalence and distribution of the population in need is required. The authors examined the use of administrative data as a means of estimating the prevalence and distribution of schizophrenic disorders.


METHODS
Administrative health services data for residents of the Canadian province of British Columbia in the age range 15 to 65 years (total population in 1997-1998 of 2,703,588) were examined over a three-year period. Potential cases of schizophrenic disorder were identified on the basis of the presence of a diagnostic code of 295 in one or more of three databases. One-year prevalence rates were estimated for each of the province's geographic regions, and associations with low income and unemployment were examined.


RESULTS
One-year prevalence rate estimates were.45 cases per 100 population in 1996-1997 and 1997-1998 and.42 cases per 100 in 1998-1999. The prevalence estimates of all 88 local health areas in the province were consistent across the three-year period; Pearson correlations were determined to be approximately.9. One-year contact prevalence rates for schizophrenic disorders were significantly correlated in all three years to the percentage of persons with low income in the individual geographic regions but were not correlated with unemployment rates.


CONCLUSIONS
In areas with well-developed health services, analyses of administrative data appear to provide cost-effective means of examining the prevalence and distribution of schizophrenic disorders.
Goldner
Elliot M
EM
Mental Health Evaluation and Community Consultation Unit, Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada. goldnee@interchange.ubc.ca
Jones
Wayne
W
Waraich
Paul
P
D000293:Adolescent; D000328:Adult; D000368:Aged; D001955:British Columbia / Q000453:epidemiology; D003695:Delivery of Health Care / Q000191:economics / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D008297:Male; D008605:Mental Health Services / Q000191:economics* / Q000706:statistics & numerical data*; D008875:Middle Aged; D015995:Prevalence; D012559:Schizophrenia / Q000191:economics / Q000453:epidemiology* / Q000628:therapy