422
Views
11
CrossRef citations to date
0
Altmetric
Research Article

A 10-year service evaluation of an assertive community treatment team: trends in hospital bed use

&
Pages 323-327 | Received 21 Mar 2014, Accepted 28 Jul 2014, Published online: 15 Sep 2014
 

Abstract

Background: Studies of assertive community treatment (ACT) have shown various benefits, including reduced hospital bed use. In the UK, this finding was not replicated by randomised controlled trials (RCTs), which lacked fidelity to the model. Conversely, observational studies, while limited by their inherent weakness in implying causality, have shown lower bed use. Against this background many ACT teams are being disestablished in the UK.

Aims: To observe the long-term effect of ACT on bed use, incorporating methods of analysis which mitigate against some weaknesses of observational design.

Methods: Bed use was compared for equal periods of time either side of starting support from an ACT team.

Results: Ninety-three people were followed for up to 10.5 years after starting ACT. Hospital bed use was compared for each person, showing a reduction from a mean of 72 d per year prior to ACT to 44 d per year during ACT (p = 0.0018).

Conclusions: The results demonstrate that ACT is associated with reduced bed use in the UK and that it is possible to use an observational design with enhanced analysis techniques to increase evidence for causality. These techniques may have value in other service evaluations.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 989.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.