Premium
A Model for Mental Health Needs and Resourcing in Small Geographic Areas: A Multivariate Spatial Perspective
Author(s) -
Congdon Peter
Publication year - 2002
Publication title -
geographical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 65
eISSN - 1538-4632
pISSN - 0016-7363
DOI - 10.1111/j.1538-4632.2002.tb01083.x
Subject(s) - referral , mental health , multivariate statistics , perspective (graphical) , multivariate analysis , set (abstract data type) , psychology , medicine , psychiatry , nursing , computer science , machine learning , artificial intelligence , programming language
This paper considers how small area variations in a set of psychiatric referral outcomes in a London health authority of 750,000 people may inform health need assessment and health resourcing for mental illness based on true need. As well as adopting a multivariate perspective, the spatial interdependence of the outcomes is included in the modelling approach outlined. By contrast, existing studies on mental health need tend to focus on single outcomes, and may not include spatial dependence. The analysis relates to three hospital referral outcomes for psychiatric conditions, and to total community mental health referrals across sixty‐seven electoral wards in East London.