Non-linear relationship between an index of social deprivation, psychiatric admission prevalence and the incidence of psychosis

Citation
Tj. Croudace et al., Non-linear relationship between an index of social deprivation, psychiatric admission prevalence and the incidence of psychosis, PSYCHOL MED, 30(1), 2000, pp. 177-185
Citations number
39
Categorie Soggetti
Psychiatry,"Clinical Psycology & Psychiatry","Neurosciences & Behavoir
Journal title
PSYCHOLOGICAL MEDICINE
ISSN journal
00332917 → ACNP
Volume
30
Issue
1
Year of publication
2000
Pages
177 - 185
Database
ISI
SICI code
0033-2917(200001)30:1<177:NRBAIO>2.0.ZU;2-8
Abstract
Background. Indicators of population socio-economic disadvantage expressed as weighted deprivation indices show strong relationships with mental healt h and underpin national funding of psychiatric services. A new index of soc ial deprivation, the Mental Illness Needs Index, has been devised specifica lly to predict need for psychiatric services. Its validity has not been est ablished outside the area in which it was developed. Methods. We explored the relationship between the Mental Illness Needs Inde x and two alternative indicators of need for mental health services: the pr evalence: of psychiatric admission for electoral wards in Nottingham (calcu lated from Hospital Episode Statistics for the years 1992 and 1993) and war d-based incidence rates for psychosis (ICD-10 F1X-F33). Relationships were explored graphically using local regression models, and estimated using Gen eralized Linear and Additive Models, and Poisson regression. Results. Social deprivation was strongly related to admission prevalence an d psychosis incidence (Spearman's rho 0.63 and 0.44 respectively). Neither admission prevalence, nor the incidence of psychosis were linearly related to social deprivation. Areas with above average social deprivation had both more new cases of psychoses and a higher proportion of the population admi tted than expected from a linear function. Conclusions. Application of a linear function to funding gradients may unde rfund high and low need areas and overfund median need areas. Improving the precision of estimates of the relationship between social deprivation and need for services is crucial to more equitable resource allocation.