Literature DB >> 33613689

Improvement in IAPT outcomes over time: are they driven by changes in clinical practice?

Rob Saunders1, John Cape1, Judy Leibowitz2, Elisa Aguirre3, Renuka Jena4, Mirko Cirkovic5, Jon Wheatley5, Nicole Main6, Stephen Pilling1,7, Joshua E J Buckman1,2.   

Abstract

Treatment outcomes across Improving Access to Psychological Therapies (IAPT) services in England have improved year-on-year, with the national average proportion of patients in recovery at the end of treatment now exceeding the 50% target. This is despite the number of referrals and numbers of treated patients also increasing year-on-year, suggesting that services have evolved local practices and treatment delivery to meet needs whilst improving performance. This study explores whether there have been changes in clinical practice with regard to: (1) the number of sessions and length of treatments; (2) the number of cancellations and non-attendance; and (3) the recording of problem descriptor information, and the association with treatment outcomes in IAPT. Routinely collected data from seven IAPT services involved in the North and Central East London (NCEL) IAPT Service Improvement and Research Network (SIRN) were brought together to form a dataset of nearly 88,000 patients who completed a course of IAPT treatment. Results showed that there was a slight increase in the average number of sessions, and decreases in the length of time in treatment, as well as decreases in both the number of non-attended appointments and the use of inappropriate problem descriptors. These findings highlight a number of areas where potentially small changes to clinical practice may have had positive effects on patient outcomes. The value of using IAPT data to inform service improvement evaluations is discussed. KEY LEARNING AIMS: (1)How changes to treatment-delivery factors are associated with IAPT patient outcomes.(2)The link between clinical practice and potential service performance.(3)How analysing routinely collected data can be used to inform service improvement. © British Association for Behavioural and Cognitive Psychotherapies 2020.

Entities:  

Keywords:  IAPT; assessment; diagnosis; psychological therapy; treatment outcome

Year:  2020        PMID: 33613689      PMCID: PMC7872157          DOI: 10.1017/S1754470X20000173

Source DB:  PubMed          Journal:  Cogn Behav Therap        ISSN: 1754-470X


  21 in total

1.  A cognitive-behavioral model of anxiety in social phobia.

Authors:  R M Rapee; R G Heimberg
Journal:  Behav Res Ther       Date:  1997-08

2.  Psychometric properties of the Social Phobia Inventory (SPIN). New self-rating scale.

Authors:  K M Connor; J R Davidson; L E Churchill; A Sherwood; E Foa; R H Weisler
Journal:  Br J Psychiatry       Date:  2000-04       Impact factor: 9.319

3.  Realizing the Mass Public Benefit of Evidence-Based Psychological Therapies: The IAPT Program.

Authors:  David M Clark
Journal:  Annu Rev Clin Psychol       Date:  2018-01-19       Impact factor: 18.561

4.  A brief measure for assessing generalized anxiety disorder: the GAD-7.

Authors:  Robert L Spitzer; Kurt Kroenke; Janet B W Williams; Bernd Löwe
Journal:  Arch Intern Med       Date:  2006-05-22

5.  How much psychotherapy is needed to treat depression? A metaregression analysis.

Authors:  Pim Cuijpers; Marcus Huibers; David Daniel Ebert; Sander L Koole; Gerhard Andersson
Journal:  J Affect Disord       Date:  2013-03-22       Impact factor: 4.839

6.  A retrospective observational analysis to identify patient and treatment-related predictors of outcomes in a community mental health programme.

Authors:  Stuart A Green; Emmi Honeybourne; Sylvia R Chalkley; Alan J Poots; Thomas Woodcock; Geraint Price; Derek Bell; John Green
Journal:  BMJ Open       Date:  2015-05-20       Impact factor: 2.692

7.  Transparency about the outcomes of mental health services (IAPT approach): an analysis of public data.

Authors:  David M Clark; Lauren Canvin; John Green; Richard Layard; Stephen Pilling; Magdalena Janecka
Journal:  Lancet       Date:  2017-12-07       Impact factor: 79.321

8.  Trajectories of depression and anxiety symptom change during psychological therapy.

Authors:  Rob Saunders; Joshua E J Buckman; John Cape; Pasco Fearon; Judy Leibowitz; Stephen Pilling
Journal:  J Affect Disord       Date:  2019-02-18       Impact factor: 4.839

9.  Latent variable mixture modelling and individual treatment prediction.

Authors:  Rob Saunders; Joshua E J Buckman; Stephen Pilling
Journal:  Behav Res Ther       Date:  2019-10-28

10.  Enhancing recovery rates: lessons from year one of IAPT.

Authors:  Alex Gyani; Roz Shafran; Richard Layard; David M Clark
Journal:  Behav Res Ther       Date:  2013-07-04
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