Literature DB >> 24382088

Service use, drop-out rate and clinical outcomes: a comparison between high and low intensity treatments in an IAPT service.

Stella W Y Chan1, Malcolm Adams2.   

Abstract

BACKGROUND: The IAPT services provide high and low intensity psychological treatments for adults suffering from depression and anxiety disorders using a stepped care model. The latest national evaluation study reported an average recovery rate of 42%. However, this figure varied widely between services, with better outcomes associated with higher "step-up" rates between low and high intensity treatments. AIMS: This study aimed to compare the two intensity groups in an IAPT service in Suffolk.
METHOD: This study adopted a between groups design. A sample of 100 service users was randomly selected from the data collected from an IAPT service in Suffolk between May 2008 and February 2011. The treatment outcomes, drop-out rate, and other characteristics were compared between those who received high and low intensity treatments.
RESULTS: The high intensity group received, on average, more sessions and contact time. They received more CBT sessions and less guided self-help. There were no group differences in terms of the drop-out and appointment cancellation rates. Analyses on clinical outcomes suggested no group difference but demonstrated an overall recovery rate of 52.6% and significant reduction in both depression and anxiety symptoms.
CONCLUSIONS: Despite methodological limitations, this study concludes that the service as a whole achieved above-average clinical outcomes. Further research building upon the current study in unpacking the relative strengths and weaknesses for the high and low intensity treatments would be beneficial for service delivery.

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Mesh:

Year:  2014        PMID: 24382088     DOI: 10.1017/S1352465813000544

Source DB:  PubMed          Journal:  Behav Cogn Psychother        ISSN: 1352-4658


  5 in total

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Journal:  Ont Health Technol Assess Ser       Date:  2019-02-19

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Journal:  PLoS One       Date:  2019-04-09       Impact factor: 3.240

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5.  Predicting patient engagement in IAPT services: a statistical analysis of electronic health records.

Authors:  Alice Davis; Theresa Smith; Jenny Talbot; Chris Eldridge; David Betts
Journal:  Evid Based Ment Health       Date:  2020-02
  5 in total

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