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Erschienen in: Community Mental Health Journal 5/2019

08.03.2019 | Original Paper

The Cost-Effectiveness of the Improving Access to Psychological Therapies (IAPT) Programme in Severe Mental Illness: A Decision Analytical Model Using Routine Data

verfasst von: Darshan Zala, Alison Brabban, Alex Stirzaker, Muralikrishnan Radhakrishnan Kartha, Paul McCrone

Erschienen in: Community Mental Health Journal | Ausgabe 5/2019

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Abstract

This is the first site level economic evaluation of the Improving Access to Psychological Therapies programme for severe mental illness (IAPT-SMI) that is funded by NHS England. It also aims to illustrate the challenges involved in evaluations based on routine data with low internal validity. Six IAPT-SMI pilot sites treated 1 of 2 clinical groups: (i) psychosis or bipolar disorder; (ii) personality disorder. A decision analytical model nested in a before-after framework- the same patients 12 months after treatment versus 12 months before treatment—was used to compare the cost-effectiveness of IAPT-SMI with treatment as usual (TAU). IAPT-SMI appears to be more costly overall but save non-psychological treatment costs. There is evidence it may improve function and lower incidence of harmful behaviour. However, there is a need for evaluations with a more conventional study design that measure a more comprehensive array of resource use and clinical outcomes.
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Metadaten
Titel
The Cost-Effectiveness of the Improving Access to Psychological Therapies (IAPT) Programme in Severe Mental Illness: A Decision Analytical Model Using Routine Data
verfasst von
Darshan Zala
Alison Brabban
Alex Stirzaker
Muralikrishnan Radhakrishnan Kartha
Paul McCrone
Publikationsdatum
08.03.2019
Verlag
Springer US
Erschienen in
Community Mental Health Journal / Ausgabe 5/2019
Print ISSN: 0010-3853
Elektronische ISSN: 1573-2789
DOI
https://doi.org/10.1007/s10597-019-00390-z

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