Literature DB >> 27409972

Routine use of patient reported outcome measures (PROMs) for improving treatment of common mental health disorders in adults.

Tony Kendrick1, Magdy El-Gohary, Beth Stuart, Simon Gilbody, Rachel Churchill, Laura Aiken, Abhishek Bhattacharya, Amy Gimson, Anna L Brütt, Kim de Jong, Michael Moore.   

Abstract

BACKGROUND: Routine outcome monitoring of common mental health disorders (CMHDs), using patient reported outcome measures (PROMs), has been promoted across primary care, psychological therapy and multidisciplinary mental health care settings, but is likely to be costly, given the high prevalence of CMHDs. There has been no systematic review of the use of PROMs in routine outcome monitoring of CMHDs across these three settings.
OBJECTIVES: To assess the effects of routine measurement and feedback of the results of PROMs during the management of CMHDs in 1) improving the outcome of CMHDs; and 2) in changing the management of CMHDs. SEARCH
METHODS: We searched the Cochrane Depression Anxiety and Neurosis group specialised controlled trials register (CCDANCTR-Studies and CCDANCTR-References), the Oxford University PROMS Bibliography (2002-5), Ovid PsycINFO, Web of Science, The Cochrane Library, and International trial registries, initially to 30 May 2014, and updated to 18 May 2015. SELECTION CRITERIA: We selected cluster and individually randomised controlled trials (RCTs) including participants with CMHDs aged 18 years and over, in which the results of PROMs were fed back to treating clinicians, or both clinicians and patients. We excluded RCTs in child and adolescent treatment settings, and those in which more than 10% of participants had diagnoses of eating disorders, psychoses, substance use disorders, learning disorders or dementia. DATA COLLECTION AND ANALYSIS: At least two authors independently identified eligible trials, assessed trial quality, and extracted data. We conducted meta-analysis across studies, pooling outcome measures which were sufficiently similar to each other to justify pooling. MAIN
RESULTS: We included 17 studies involving 8787 participants: nine in multidisciplinary mental health care, six in psychological therapy settings, and two in primary care. Pooling of outcome data to provide a summary estimate of effect across studies was possible only for those studies using the compound Outcome Questionnaire (OQ-45) or Outcome Rating System (ORS) PROMs, which were all conducted in multidisciplinary mental health care or psychological therapy settings, because both primary care studies identified used single symptom outcome measures, which were not directly comparable to the OQ-45 or ORS.Meta-analysis of 12 studies including 3696 participants using these PROMs found no evidence of a difference in outcome in terms of symptoms, between feedback and no-feedback groups (standardised mean difference (SMD) -0.07, 95% confidence interval (CI) -0.16 to 0.01; P value = 0.10). The evidence for this comparison was graded as low quality however, as all included studies were considered at high risk of bias, in most cases due to inadequate blinding of assessors and significant attrition at follow-up.Quality of life was reported in only two studies, social functioning in one, and costs in none. Information on adverse events (thoughts of self-harm or suicide) was collected in one study, but differences between arms were not reported.It was not possible to pool data on changes in drug treatment or referrals as only two studies reported these. Meta-analysis of seven studies including 2608 participants found no evidence of a difference in management of CMHDs between feedback and no-feedback groups, in terms of the number of treatment sessions received (mean difference (MD) -0.02 sessions, 95% CI -0.42 to 0.39; P value = 0.93). However, the evidence for this comparison was also graded as low quality. AUTHORS'
CONCLUSIONS: We found insufficient evidence to support the use of routine outcome monitoring using PROMs in the treatment of CMHDs, in terms of improving patient outcomes or in improving management. The findings are subject to considerable uncertainty however, due to the high risk of bias in the large majority of trials meeting the inclusion criteria, which means further research is very likely to have an important impact on the estimate of effect and is likely to change the estimate. More research of better quality is therefore required, particularly in primary care where most CMHDs are treated.Future research should address issues of blinding of assessors and attrition, and measure a range of relevant symptom outcomes, as well as possible harmful effects of monitoring, health-related quality of life, social functioning, and costs. Studies should include people treated with drugs as well as psychological therapies, and should follow them up for longer than six months.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27409972      PMCID: PMC6472430          DOI: 10.1002/14651858.CD011119.pub2

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  91 in total

1.  An inventory for measuring depression.

Authors:  A T BECK; C H WARD; M MENDELSON; J MOCK; J ERBAUGH
Journal:  Arch Gen Psychiatry       Date:  1961-06

2.  Screening and case-finding instruments for depression: a meta-analysis.

Authors:  Simon Gilbody; Trevor Sheldon; Allan House
Journal:  CMAJ       Date:  2008-04-08       Impact factor: 8.262

3.  Depression decision support in primary care: a cluster randomized trial.

Authors:  Steven K Dobscha; Kathryn Corson; David H Hickam; Nancy A Perrin; Dale F Kraemer; Martha S Gerrity
Journal:  Ann Intern Med       Date:  2006-10-03       Impact factor: 25.391

4.  National Institute of Mental Health Diagnostic Interview Schedule. Its history, characteristics, and validity.

Authors:  L N Robins; J E Helzer; J Croughan; K S Ratcliff
Journal:  Arch Gen Psychiatry       Date:  1981-04

5.  The acceptability and effectiveness of patient-reported assessments and feedback in a managed behavioral healthcare setting.

Authors:  Benjamin B Brodey; Brian Cuffel; Joyce McCulloch; Shanna Tani; Mark Maruish; Inger Brodey; Jürgen Unützer
Journal:  Am J Manag Care       Date:  2005-12       Impact factor: 2.229

6.  Depression management in primary care: an observational study of management changes related to PHQ-9 score for depression monitoring.

Authors:  Michael Moore; Saima Ali; Beth Stuart; Gerry M Leydon; Jessica Ovens; Chris Goodall; Tony Kendrick
Journal:  Br J Gen Pract       Date:  2012-06       Impact factor: 5.386

7.  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

8.  Telephone psychotherapy and telephone care management for primary care patients starting antidepressant treatment: a randomized controlled trial.

Authors:  Gregory E Simon; Evette J Ludman; Steve Tutty; Belinda Operskalski; Michael Von Korff
Journal:  JAMA       Date:  2004-08-25       Impact factor: 56.272

Review 9.  Epidemiology of depression in primary care.

Authors:  W Katon; H Schulberg
Journal:  Gen Hosp Psychiatry       Date:  1992-07       Impact factor: 3.238

10.  Feedback on patient progress and clinical support tools for therapists: improved outcome for patients at risk of treatment failure in psychosomatic in-patient therapy under the conditions of routine practice.

Authors:  Thomas Probst; Michael J Lambert; Thomas H Loew; Reiner W Dahlbender; Richard Göllner; Karin Tritt
Journal:  J Psychosom Res       Date:  2013-08-02       Impact factor: 3.006

View more
  43 in total

1.  A Digital Feedback System to Support Implementation of Measurement-Based Care by School-Based Mental Health Clinicians.

Authors:  Aaron R Lyon; Michael D Pullmann; Kelly Whitaker; Kristy Ludwig; Jessica Knaster Wasse; Elizabeth McCauley
Journal:  J Clin Child Adolesc Psychol       Date:  2017-03-02

2.  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

3.  Why measuring quality of mental health care is still an unmet challenge and how to meet it.

Authors:  Mirella Ruggeri
Journal:  World Psychiatry       Date:  2018-02       Impact factor: 49.548

4.  Middle and High School Student Perspectives on Digitally-Delivered Mental Health Assessments and Measurement Feedback Systems.

Authors:  Ashley M Mayworm; Brynn M Kelly; Mylien T Duong; Aaron R Lyon
Journal:  Adm Policy Ment Health       Date:  2020-07

5.  PsyScan e-tool to support diagnosis and management of psychological problems in general practice: a randomised controlled trial.

Authors:  Luc G Gidding; Mark Spigt; Bjorn Winkens; Odette Herijgers; Geert-Jan Dinant
Journal:  Br J Gen Pract       Date:  2017-12-18       Impact factor: 5.386

6.  From obligation to opportunity: future of patient-reported outcome measures at the Veterans Health Administration.

Authors:  Theresa M Coles; Sarah M Wilson; Bo Kim; Jean C Beckham; Warren A Kinghorn
Journal:  Transl Behav Med       Date:  2019-11-25       Impact factor: 3.046

7.  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

8.  Development and analysis of measurement properties of the "maternal perception of childbirth fatigue questionnaire" (MCFQ).

Authors:  Alexandre Delgado; Polyana da Nóbrega Farias de Oliveira; Paulo Sávio Angeiras de Góes; Andrea Lemos
Journal:  Braz J Phys Ther       Date:  2019-01-19       Impact factor: 3.377

9.  Client feedback in psychological therapy for children and adolescents with mental health problems.

Authors:  Hanna Bergman; Hege Kornør; Adriani Nikolakopoulou; Ketil Hanssen-Bauer; Karla Soares-Weiser; Thomas K Tollefsen; Arild Bjørndal
Journal:  Cochrane Database Syst Rev       Date:  2018-08-20

10.  Concordance between clinician-rated and patient reported outcome measures of depressive symptoms in treatment resistant depression.

Authors:  Rachel Hershenberg; William M McDonald; Andrea Crowell; Patricio Riva-Posse; W Edward Craighead; Helen S Mayberg; Boadie W Dunlop
Journal:  J Affect Disord       Date:  2020-01-22       Impact factor: 4.839

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.