Literature DB >> 25847057

Comparing Methods to Denote Treatment Outcome in Clinical Research and Benchmarking Mental Health Care.

Edwin de Beurs1, Marko Barendregt1, Arco de Heer2, Erik van Duijn3, Bob Goeree4, Margot Kloos5, Kees Kooiman6, Helen Lionarons7, Andre Merks8.   

Abstract

Approaches based on continuous indicators (the size of the pre-to-post-test change; effect size or ΔT) and on categorical indicators (Percentage Improvement and the Jacobson-Truax approach to Clinical Significance) are evaluated to determine which has the best methodological and statistical characteristics, and optimal performance, in comparing outcomes of treatment providers. Performance is compared in two datasets from providers using the Brief Symptom Inventory or the Outcome Questionnaire. Concordance of methods and their suitability to rank providers is assessed. Outcome indicators tend to converge and lead to a similar ranking of institutes within each dataset. Statistically and conceptually, continuous outcome indicators are superior to categorical outcomes as change scores have more statistical power and allow for a ranking of providers at first glance. However, the Jacobson-Truax approach can complement the change score approach as it presents outcome information in a clinically meaningful manner.
Copyright © 2015 John Wiley & Sons, Ltd. KEY PRACTITIONERS MESSAGES: When comparing various indicators or treatment outcome, statistical considerations designate continuous outcomes, such as the effect size of the pre-post change (effect size or ΔT) as the optimal choice. Expressing outcome in proportions of recovered, changed, unchanged or deteriorated patients has supplementary value, as it is more easily interpreted and appreciated by clinicians, managerial staff and, last but not the least, by patients. If categorical outcomes are used with small datasets, true differences in institutional performance may get obscured due to diminished power to detect differences. With sufficient data, outcome according to continuous and categorical indicators converge and lead to similar rankings of institutes' performance. Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Benchmarking; Effect Size; Percentage Inprovement (PI); Reliable Change Index (RCI); Treatment outcome

Mesh:

Year:  2015        PMID: 25847057     DOI: 10.1002/cpp.1954

Source DB:  PubMed          Journal:  Clin Psychol Psychother        ISSN: 1063-3995


  9 in total

1.  Treatment Outcome, Duration, and Costs: A Comparison of Performance Indicators Using Data from Eight Mental Health Care Providers in The Netherlands.

Authors:  E de Beurs; E H Warmerdam; S C C Oudejans; M Spits; P Dingemanse; S D D de Graaf; I W de Groot; H Houben; W G E Kuyck; E O Noorthoorn; M A Nugter; S C C Robbers; G E van Son
Journal:  Adm Policy Ment Health       Date:  2018-03

2.  Standardization of health outcomes assessment for depression and anxiety: recommendations from the ICHOM Depression and Anxiety Working Group.

Authors:  Alexander Obbarius; Lisa van Maasakkers; Lee Baer; David M Clark; Anne G Crocker; Edwin de Beurs; Paul M G Emmelkamp; Toshi A Furukawa; Erik Hedman-Lagerlöf; Maria Kangas; Lucie Langford; Alain Lesage; Doris M Mwesigire; Sandra Nolte; Vikram Patel; Paul A Pilkonis; Harold A Pincus; Roberta A Reis; Graciela Rojas; Cathy Sherbourne; Dave Smithson; Caleb Stowell; Kelly Woolaway-Bickel; Matthias Rose
Journal:  Qual Life Res       Date:  2017-08-07       Impact factor: 4.147

3.  Trajectories of patients with severe mental illness in two-year contact with Flexible Assertive Community Treatment teams using Routine Outcome Monitoring data: An observational study.

Authors:  Hans Kortrijk; Barbara Schaefer; Jaap van Weeghel; Cornelis L Mulder; Astrid Kamperman
Journal:  PLoS One       Date:  2019-01-09       Impact factor: 3.240

4.  Bias through selective inclusion and attrition: Representativeness when comparing provider performance with routine outcome monitoring data.

Authors:  Edwin de Beurs; Lisanne Warmerdam; Jos Twisk
Journal:  Clin Psychol Psychother       Date:  2019-04-23

5.  Patients' and Psychologists' Preferences for Feedback Reports on Expected Mental Health Treatment Outcomes: A Discrete-Choice Experiment.

Authors:  Loes Hilhorst; Jip van der Stappen; Joran Lokkerbol; Mickaël Hiligsmann; Anna H Risseeuw; Bea G Tiemens
Journal:  Adm Policy Ment Health       Date:  2022-04-15

6.  Impact of COVID-19 social distancing measures on routine mental health care provision and treatment outcome for common mental disorders in the Netherlands.

Authors:  Edwin de Beurs; Matthijs Blankers; Jaap Peen; Clara Rademacher; Alicja Podgorski; Jack Dekker
Journal:  Clin Psychol Psychother       Date:  2022-02-02

7.  The Brief Symptom Inventory and the Outcome Questionnaire-45 in the Assessment of the Outcome Quality of Mental Health Interventions.

Authors:  Aureliano Crameri; Christopher Schuetz; Andreas Andreae; Margit Koemeda; Peter Schulthess; Volker Tschuschke; Agnes von Wyl
Journal:  Psychiatry J       Date:  2016-09-08

8.  A Cost-Effectiveness Analysis to Evaluate a System Change in Mental Healthcare in the Netherlands for Patients with Depression or Anxiety.

Authors:  Kasper van Mens; Joran Lokkerbol; Richard Janssen; Mirjam L van Orden; Margot Kloos; Bea Tiemens
Journal:  Adm Policy Ment Health       Date:  2018-07

9.  Treatment results for severe psychiatric illness: which method is best suited to denote the outcome of mental health care?

Authors:  Edwin de Beurs; Matthijs Blankers; Philippe Delespaul; Erik van Duijn; Niels Mulder; Annet Nugter; Wilma Swildens; Bea G Tiemens; Jan Theunissen; Arno F A van Voorst; Jaap van Weeghel
Journal:  BMC Psychiatry       Date:  2018-07-13       Impact factor: 3.630

  9 in total

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