title: Community mental health care for former hospital in-patients. Predicting costs from needs and diagnoses.
abstract: BACKGROUND
  In the UK the replacement of long-term in-patient care with community-based support has been part of central government health policy for many years. One of the challenges of implementing such a policy is the prediction of support and service needs in the community and the associated costs.
  
  
  METHODS
  Using research data from north London analyses were undertaken to examine the associations between service use and costs in the community and the characteristics of hospital in-patients.
  
  
  RESULTS
  Although clinical diagnosis was not a useful predictor of either service utilisation or costs, more than a third of the variation in community care costs could be explained by symptoms, behaviour and personal characteristics at least one year earlier.
authors.affiliation: Personal Social Services Research Unit, University of Kent at Canterbury.
authors.forename: M
authors.initials: M
authors.lastname: Knapp
authors.forename: J
authors.initials: J
authors.lastname: Beecham
authors.forename: A
authors.initials: A
authors.lastname: Fenyo
authors.forename: A
authors.initials: A
authors.lastname: Hallam
mesh_terms: D000328:Adult; D000368:Aged; D003156:Community Mental Health Services / Q000191:economics* / Q000706:statistics & numerical data; D017046:Cost Savings; D003688:Deinstitutionalization / Q000191:economics*; D004739:England; D005260:Female; D006291:Health Policy / Q000191:economics; D006301:Health Services Needs and Demand / Q000191:economics*; D006801:Humans; D008134:Long-Term Care / Q000191:economics; D008297:Male; D001523:Mental Disorders / Q000175:diagnosis / Q000191:economics* / Q000534:rehabilitation; D008875:Middle Aged; D011569:Psychiatric Status Rating Scales; D013222:State Medicine / Q000191:economics; D014600:Utilization Review