Matching research and practice: Prediction of individual patient progress and dropout risk for basic routine outcome monitoring
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Kaline Muetze
- Michael Witthoeft
- Wolfgang Lutz
- Anne-Kathrin Braescher
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000652814500001&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1080/10503307.2021.1930244
- eISSN
- 1468-4381
- Externe Identifier
- Clarivate Analytics Document Solution ID: ZU9PG
- PubMed Identifier: 34016015
- ISSN
- 1050-3307
- Ausgabe der Veröffentlichung
- 3
- Zeitschrift
- PSYCHOTHERAPY RESEARCH
- Schlüsselwörter
- Cognitive behavior therapy
- outcome research
- process research
- statistical methodology
- Paginierung
- 358 - 371
- Datum der Veröffentlichung
- 2022
- Status
- Published
- Titel
- Matching research and practice: Prediction of individual patient progress and dropout risk for basic routine outcome monitoring
- Sub types
- Article
- Ausgabe der Zeitschrift
- 32
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Autoren
- Kaline Mütze
- Michael Witthöft
- Wolfgang Lutz
- Anne-Kathrin Bräscher
- DOI
- 10.1080/10503307.2021.1930244
- eISSN
- 1468-4381
- ISSN
- 1050-3307
- Ausgabe der Veröffentlichung
- 3
- Zeitschrift
- Psychotherapy Research
- Sprache
- en
- Online publication date
- 2021
- Paginierung
- 358 - 371
- Datum der Veröffentlichung
- 2022
- Status
- Published
- Herausgeber
- Informa UK Limited
- Herausgeber URL
- http://dx.doi.org/10.1080/10503307.2021.1930244
- Datum der Datenerfassung
- 2023
- Titel
- Matching research and practice: Prediction of individual patient progress and dropout risk for basic routine outcome monitoring
- Ausgabe der Zeitschrift
- 32
Datenquelle: Crossref
- Abstract
- <h4>Objective</h4>Despite evidence showing that systematic outcome monitoring can prevent treatment failure, the practical conditions that allow for implementation are seldom met in naturalistic psychological services. In the context of limited time and resources, session-by-session evaluation is rare in most clinical settings. This study aimed to validate innovative prediction methods for individual treatment progress and dropout risk based on basic outcome monitoring.<h4>Methods</h4>Routine data of a naturalistic psychotherapy outpatient sample were analyzed (<i>N</i> = 3902). Patients were treated with cognitive behavioral therapy with up to 95 sessions (<i>M</i> = 39.19, <i>SD</i> = 16.99) and assessment intervals of 5-15 sessions. Treatment progress and dropout risk were predicted in two independent analyses using the nearest neighbor method and least absolute shrinkage and selection operator regression, respectively.<h4>Results</h4>The correlation between observed and predicted patient progress was <i>r</i> = .46. Intrinsic treatment motivation, previous inpatient treatment, university-entrance qualification, baseline impairment, diagnosed personality disorder, and diagnosed eating disorder were identified as significant predictors of dropout, explaining 11% of variance.<h4>Conclusions</h4>Innovative outcome prediction in naturalistic psychotherapy is not limited to elaborated progress monitoring. This study demonstrates a reasonable approach for tracking patient progress as long as session-by-session assessment is not a valid standard.
- Addresses
- Department of Clinical Psychology, Psychotherapy, and Experimental Psychopathology, University of Mainz, Germany.
- Autoren
- Kaline Mütze
- Michael Witthöft
- Wolfgang Lutz
- Anne-Kathrin Bräscher
- DOI
- 10.1080/10503307.2021.1930244
- eISSN
- 1468-4381
- Externe Identifier
- PubMed Identifier: 34016015
- Funding acknowledgements
- Johannes Gutenberg-University Mainz:
- Open access
- false
- ISSN
- 1050-3307
- Ausgabe der Veröffentlichung
- 3
- Zeitschrift
- Psychotherapy research : journal of the Society for Psychotherapy Research
- Schlüsselwörter
- Humans
- Motivation
- Personality Disorders
- Psychotherapy
- Outpatients
- Cognitive Behavioral Therapy
- Sprache
- eng
- Medium
- Print-Electronic
- Online publication date
- 2021
- Paginierung
- 358 - 371
- Datum der Veröffentlichung
- 2022
- Status
- Published
- Datum der Datenerfassung
- 2021
- Titel
- Matching research and practice: Prediction of individual patient progress and dropout risk for basic routine outcome monitoring.
- Sub types
- Research Support, Non-U.S. Gov't
- Journal Article
- Ausgabe der Zeitschrift
- 32
Datenquelle: Europe PubMed Central
- Abstract
- OBJECTIVE: Despite evidence showing that systematic outcome monitoring can prevent treatment failure, the practical conditions that allow for implementation are seldom met in naturalistic psychological services. In the context of limited time and resources, session-by-session evaluation is rare in most clinical settings. This study aimed to validate innovative prediction methods for individual treatment progress and dropout risk based on basic outcome monitoring. METHODS: Routine data of a naturalistic psychotherapy outpatient sample were analyzed (N = 3902). Patients were treated with cognitive behavioral therapy with up to 95 sessions (M = 39.19, SD = 16.99) and assessment intervals of 5-15 sessions. Treatment progress and dropout risk were predicted in two independent analyses using the nearest neighbor method and least absolute shrinkage and selection operator regression, respectively. RESULTS: The correlation between observed and predicted patient progress was r = .46. Intrinsic treatment motivation, previous inpatient treatment, university-entrance qualification, baseline impairment, diagnosed personality disorder, and diagnosed eating disorder were identified as significant predictors of dropout, explaining 11% of variance. CONCLUSIONS: Innovative outcome prediction in naturalistic psychotherapy is not limited to elaborated progress monitoring. This study demonstrates a reasonable approach for tracking patient progress as long as session-by-session assessment is not a valid standard.
- Autoren
- Kaline Mütze
- Michael Witthöft
- Wolfgang Lutz
- Anne-Kathrin Bräscher
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/34016015
- DOI
- 10.1080/10503307.2021.1930244
- eISSN
- 1468-4381
- Ausgabe der Veröffentlichung
- 3
- Zeitschrift
- Psychother Res
- Schlüsselwörter
- Cognitive behavior therapy
- outcome research
- process research
- statistical methodology
- Cognitive Behavioral Therapy
- Humans
- Motivation
- Outpatients
- Personality Disorders
- Psychotherapy
- Sprache
- eng
- Country
- England
- Paginierung
- 358 - 371
- Datum der Veröffentlichung
- 2022
- Status
- Published
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2022
- Titel
- Matching research and practice: Prediction of individual patient progress and dropout risk for basic routine outcome monitoring.
- Sub types
- Journal Article
- Research Support, Non-U.S. Gov't
- Ausgabe der Zeitschrift
- 32
Datenquelle: PubMed
- Beziehungen:
- Eigentum von