Literature DB >> 11824491

Predicting the costs of community care for individuals with severe mental illness in South London.

P McCrone1, S Johnson, G Thornicroft.   

Abstract

The objective of this study is to identify factors that predict the costs of community mental health services. A random sample of individuals, selected from all identified cases of psychosis in two geographically defined catchment areas, were interviewed before the establishment of community mental health teams and then after these teams had been operating for approximately 2.5 years. One of the sectors developed an intensive community service, with a more standard service in the other sector. Significant predictors of higher costs were older age and higher levels of disability. Predictors of lower costs were longer duration of illness and more years of education. A reduced model revealed that being male and having more symptoms were also predictors of higher costs. After controlling for background characteristics, it was revealed that services provided to clients from the intensive sector were $1,894 more expensive over 6 months than those provided to standard sector clients.

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Year:  2001        PMID: 11824491     DOI: 10.1093/oxfordjournals.schbul.a006904

Source DB:  PubMed          Journal:  Schizophr Bull        ISSN: 0586-7614            Impact factor:   9.306


  3 in total

1.  Service use and costs of supporting the most socially disabled patients in a hospital reprovision programme. A two-hospital comparison.

Authors:  Paul McCrone; Angela Hallam; Martin Knapp; Francis Swaray; Ana Nazir; Julian Leff; Andrew Szmidla
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2006-05-29       Impact factor: 4.328

2.  Clinical outcomes and costs for people with complex psychosis; a naturalistic prospective cohort study of mental health rehabilitation service users in England.

Authors:  Helen Killaspy; Louise Marston; Nicholas Green; Isobel Harrison; Melanie Lean; Frank Holloway; Tom Craig; Gerard Leavey; Maurice Arbuthnott; Leonardo Koeser; Paul McCrone; Rumana Z Omar; Michael King
Journal:  BMC Psychiatry       Date:  2016-04-07       Impact factor: 3.630

3.  Predicting psychiatric inpatient costs.

Authors:  Ramon Sabes-Figuera; Paul McCrone; Emese Csipke; Tom K J Craig; Diana Rose; Bina Sharma; Til Wykes
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2015-12-18       Impact factor: 4.328

  3 in total

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