Literature DB >> 29937396

Feedback-informed treatment versus usual psychological treatment for depression and anxiety: a multisite, open-label, cluster randomised controlled trial.

Jaime Delgadillo1, Kim de Jong2, Mike Lucock3, Wolfgang Lutz4, Julian Rubel4, Simon Gilbody5, Shehzad Ali5, Elisa Aguirre6, Mark Appleton7, Jacqueline Nevin8, Harry O'Hayon9, Ushma Patel10, Andrew Sainty11, Peter Spencer12, Dean McMillan5.   

Abstract

BACKGROUND: Previous research suggests that the use of outcome feedback technology can enable psychological therapists to identify and resolve obstacles to clinical improvement. We aimed to assess the effectiveness of an outcome feedback quality assurance system applied in stepped care psychological services.
METHODS: This multisite, open-label, cluster randomised controlled trial was done at eight National Health Service (NHS) Trusts in England, involving therapists who were qualified to deliver evidence-based low-intensity or high-intensity psychological interventions. Adult patients (18 years or older) who accessed individual therapy with participating therapists were eligible for inclusion, except patients who accessed group therapies and those who attended less than two individual therapy sessions. Therapists were randomly assigned (1:1) to an outcome feedback intervention group or a treatment-as-usual control group by use of a computer-generated randomisation algorithm. The allocation of patients to therapists was quasi-random, whereby patients on waiting lists were allocated sequentially on the basis of therapist availability. All patients received low-intensity (less than eight sessions) or high-intensity (up to 20 sessions) psychological therapies for the duration of the 1-year study period. An automated computer algorithm alerted therapists in the outcome feedback group to patients who were not on track, and primed them to review these patients in clinical supervision. The primary outcome was symptom severity on validated depression (Patient Health Questionnaire-9 [PHQ-9]) and anxiety (Generalised Anxiety Disorder-7 [GAD-7]) measures after treatment of varying durations, which were compared between groups with multilevel modelling, controlling for cluster (therapist) effects. We used an intention-to-treat approach. This trial was prospectively registered with ISRCTN, number ISRCTN12459454.
FINDINGS: In total, 79 therapists were recruited to the study between Jan 8, 2016, and July 15, 2016, but two did not participate. Of these participants, 39 (51%) were randomly assigned to the outcome feedback group and 38 (49%) to the control group. Overall, 2233 patients were included in the trial (1176 [53%] were treated by therapists in the outcome feedback group, and 1057 [47%] by therapists in the control group). Patients classified as not on track had less severe symptoms after treatment if they were allocated to the outcome feedback group than those in the control group (PHQ-9 d=0·23, B=-1·03 [95% CI -1·84 to -0·23], p=0·012; GAD-7 d=0·19, B=-0·85 [-1·56 to -0·14], p=0·019).
INTERPRETATION: Supplementing psychological therapy with low-cost feedback technology can reduce symptom severity in patients at risk of poor response to treatment. This evidence supports the implementation of outcome feedback in stepped care psychological services. FUNDING: English NHS and Department of Health Sciences, University of York, York, UK.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Mesh:

Year:  2018        PMID: 29937396     DOI: 10.1016/S2215-0366(18)30162-7

Source DB:  PubMed          Journal:  Lancet Psychiatry        ISSN: 2215-0366            Impact factor:   27.083


  23 in total

1.  Personalized prognostic prediction of treatment outcome for depressed patients in a naturalistic psychiatric hospital setting: A comparison of machine learning approaches.

Authors:  Christian A Webb; Zachary D Cohen; Courtney Beard; Marie Forgeard; Andrew D Peckham; Thröstur Björgvinsson
Journal:  J Consult Clin Psychol       Date:  2020-01

2.  Measurement-based care as a practice improvement tool: Clinical and organizational applications in youth mental health.

Authors:  Amanda Jensen-Doss; Susan Douglas; Dominique A Phillips; Ozgur Gencdur; Amber Zalman; Noelle Elena Gomez
Journal:  Evid Based Pract Child Adolesc Ment Health       Date:  2020-08-18

3.  Therapist Behavior During Exposure Tasks Predicts Habituation and Clinical Outcome in Three Randomized Controlled Trials for Pediatric OCD.

Authors:  Kristen G Benito; Jason Machan; Jennifer B Freeman; Abbe M Garcia; Michael Walther; Hannah Frank; Brianna Wellen; Elyse Stewart; Julie Edmunds; Jeffrey Sapyta; Martin E Franklin
Journal:  Behav Ther       Date:  2020-07-21

4.  A novel patient-reported outcome monitoring with clinical feedback system in bariatric surgery care: study protocol, design and plan for evaluation.

Authors:  Pål André Hegland; Anny Aasprang; Ronette L Kolotkin; Christian Moltu; Grethe S Tell; John Roger Andersen
Journal:  BMJ Open       Date:  2020-06-22       Impact factor: 2.692

5.  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

6.  Making way for a clinical feedback system in the narrow space between sessions: navigating competing demands in complex healthcare settings.

Authors:  Runar Tengel Hovland; Christian Moltu
Journal:  Int J Ment Health Syst       Date:  2019-11-02

7.  Acceptance and commitment therapy for young brain tumour survivors: study protocol for an acceptability and feasibility trial.

Authors:  Sam Malins; Ray Owen; Ingram Wright; Heather Borrill; Jenny Limond; Faith Gibson; Richard G Grundy; Simon Bailey; Steven C Clifford; Stephen Lowis; James Lemon; Louise Hayes; Sophie Thomas
Journal:  BMJ Open       Date:  2021-06-01       Impact factor: 2.692

Review 8.  Effectiveness of web-based feedback interventions for people with overweight and obesity: systematic review and network meta-analysis of randomized controlled trials.

Authors:  Carmen Varela; Camila Oda-Montecinos; Ana Andrés; Carmina Saldaña
Journal:  J Eat Disord       Date:  2021-06-26

Review 9.  How Are Information and Communication Technologies Supporting Routine Outcome Monitoring and Measurement-Based Care in Psychotherapy? A Systematic Review.

Authors:  Patricia Gual-Montolio; Verónica Martínez-Borba; Juana María Bretón-López; Jorge Osma; Carlos Suso-Ribera
Journal:  Int J Environ Res Public Health       Date:  2020-05-02       Impact factor: 3.390

10.  Exploring the Relationship Between Usage and Outcomes of an Internet-Based Intervention for Individuals With Depressive Symptoms: Secondary Analysis of Data From a Randomized Controlled Trial.

Authors:  Angel Enrique; Jorge E Palacios; Holly Ryan; Derek Richards
Journal:  J Med Internet Res       Date:  2019-08-01       Impact factor: 5.428

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