Estimating population prevalence of psychiatric conditions by small area with applications to analysing outcome and referral variations.
This paper considers the development of estimates of mental illness prevalence for small areas and applications in explaining psychiatric outcomes and in assessing service provision. Estimates of prevalence are based on a logistic regression analysis of two national studies that provides model based estimates of relative morbidity risk by demographic, socio-economic and ethnic group for major psychiatric conditions; household/marital and area status also figure in the regression. Relative risk estimates are used, along with suitably disaggregated census populations, to make prevalence estimates for 354 English local authorities (LAs). Two applications are considered: the first involves analysis of variations in schizophrenia referrals and suicide mortality over English LAs that takes account of prevalence differences, and the second involves assessing hospital referral and bed use in relation to prevalence (for ages 16-74) for a case study area, Waltham Forest in NE London.
Department of Geography, QMUL, Mile End Rd, London E1 4NS, UK. p.congdon@qmul.ac.uk
Peter
P
Congdon
D000293:Adolescent; D000328:Adult; D000368:Aged; D003156:Community Mental Health Services; D005260:Female; D019538:Health Care Surveys; D006801:Humans; D008131:London / Q000453:epidemiology; D008297:Male; D001523:Mental Disorders / Q000453:epidemiology*; D008875:Middle Aged; D012017:Referral and Consultation; D018570:Risk Assessment