Using clinical patient characteristics to predict treatment outcome of cognitive behavior therapies for individuals with medically unexplained symptoms: A systematic review and meta-analysis

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Autoren
  • Lena Sarter
  • Jens Heider
  • Michael Witthoft
  • Winfried Rief
  • Maria Kleinstauber
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000806230800002&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1016/j.genhosppsych.2022.03.001
eISSN
1873-7714
Externe Identifier
  • Clarivate Analytics Document Solution ID: 1V6XT
  • PubMed Identifier: 35390568
ISSN
0163-8343
Zeitschrift
GENERAL HOSPITAL PSYCHIATRY
Schlüsselwörter
  • Cognitive behavior therapy
  • Somatic symptom disorder
  • Medically unexplained symptoms
  • Functional somatic syndromes
  • Predictor
  • Outcome
Paginierung
11 - 20
Datum der Veröffentlichung
2022
Status
Published
Titel
Using clinical patient characteristics to predict treatment outcome of cognitive behavior therapies for individuals with medically unexplained symptoms: A systematic review and meta-analysis
Sub types
  • Review
Ausgabe der Zeitschrift
77

Datenquelle: Web of Science (Lite)

Andere Metadatenquellen:
Autoren
  • Lena Sarter
  • Jens Heider
  • Michael Witthöft
  • Winfried Rief
  • Maria Kleinstäuber
DOI
10.1016/j.genhosppsych.2022.03.001
ISSN
0163-8343
Zeitschrift
General Hospital Psychiatry
Sprache
en
Paginierung
11 - 20
Datum der Veröffentlichung
2022
Status
Published
Herausgeber
Elsevier BV
Herausgeber URL
http://dx.doi.org/10.1016/j.genhosppsych.2022.03.001
Datum der Datenerfassung
2024
Titel
Using clinical patient characteristics to predict treatment outcome of cognitive behavior therapies for individuals with medically unexplained symptoms: A systematic review and meta-analysis
Ausgabe der Zeitschrift
77

Datenquelle: Crossref

Abstract
<h4>Objective</h4>For individuals with medically unexplained symptoms (MUS), cognitive behavioral therapy (CBT) is the best-evaluated treatment. This systematic review and meta-analyses identify clinical patient characteristics associated with the treatment outcome of CBT for MUS.<h4>Methods</h4>A systematic literature search (PubMed, PsycInfo, Web of Science) resulted in 53 eligible studies; of these 32 studies could be included in meta-analyses. Pooled correlation coefficients between predictors and treatment outcome were calculated with a random-effects model. Moderator analyses were conducted to examine differences between subgroups of MUS and different levels of methodological study quality.<h4>Results</h4>Meta-analyses demonstrated that individuals with higher symptom intensity (r = 0.38; p < 0.001), lower physical functioning (r = -0.29; p < 0.001), lower emotional and social functioning (r = -0.37; p < 0.001), more potential symptom-related incentives (r = -0.15; p = 0.001), or longer symptom duration (r = 0.10; p = 0.033) at the beginning of treatment reported less change of symptom severity until the end of therapy or higher end-of-treatment symptom severity. The pooled effect sizes did not differ between certain subgroups of MUS or between different levels of methodological quality.<h4>Conclusion</h4>Our findings indicated that clinical characteristics of MUS patients are associated with treatment outcome of CBT. We discuss how the results can be used to optimize and personalize future treatments for MUS.
Addresses
  • Philipps-University Marburg, Department of Clinical Psychology and Psychotherapy, Gutenbergstraße 18, 35037 Marburg, Germany. Electronic address: lena.sarter@staff.uni-marburg.de.
Autoren
  • Lena Sarter
  • Jens Heider
  • Michael Witthöft
  • Winfried Rief
  • Maria Kleinstäuber
DOI
10.1016/j.genhosppsych.2022.03.001
eISSN
1873-7714
Externe Identifier
  • PubMed Identifier: 35390568
Funding acknowledgements
  • Deutsche Forschungsgemeinschaft: KL3132/2-4
Open access
false
ISSN
0163-8343
Zeitschrift
General hospital psychiatry
Schlüsselwörter
  • Humans
  • Treatment Outcome
  • Emotions
  • Somatoform Disorders
  • Medically Unexplained Symptoms
  • Cognitive Behavioral Therapy
Sprache
eng
Medium
Print-Electronic
Online publication date
2022
Paginierung
11 - 20
Datum der Veröffentlichung
2022
Status
Published
Datum der Datenerfassung
2022
Titel
Using clinical patient characteristics to predict treatment outcome of cognitive behavior therapies for individuals with medically unexplained symptoms: A systematic review and meta-analysis.
Sub types
  • Meta-Analysis
  • Systematic Review
  • Review
  • Journal Article
Ausgabe der Zeitschrift
77

Datenquelle: Europe PubMed Central

Abstract
OBJECTIVE: For individuals with medically unexplained symptoms (MUS), cognitive behavioral therapy (CBT) is the best-evaluated treatment. This systematic review and meta-analyses identify clinical patient characteristics associated with the treatment outcome of CBT for MUS. METHODS: A systematic literature search (PubMed, PsycInfo, Web of Science) resulted in 53 eligible studies; of these 32 studies could be included in meta-analyses. Pooled correlation coefficients between predictors and treatment outcome were calculated with a random-effects model. Moderator analyses were conducted to examine differences between subgroups of MUS and different levels of methodological study quality. RESULTS: Meta-analyses demonstrated that individuals with higher symptom intensity (r = 0.38; p < 0.001), lower physical functioning (r = -0.29; p < 0.001), lower emotional and social functioning (r = -0.37; p < 0.001), more potential symptom-related incentives (r = -0.15; p = 0.001), or longer symptom duration (r = 0.10; p = 0.033) at the beginning of treatment reported less change of symptom severity until the end of therapy or higher end-of-treatment symptom severity. The pooled effect sizes did not differ between certain subgroups of MUS or between different levels of methodological quality. CONCLUSION: Our findings indicated that clinical characteristics of MUS patients are associated with treatment outcome of CBT. We discuss how the results can be used to optimize and personalize future treatments for MUS.
Date of acceptance
2022
Autoren
  • Lena Sarter
  • Jens Heider
  • Michael Witthöft
  • Winfried Rief
  • Maria Kleinstäuber
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/35390568
DOI
10.1016/j.genhosppsych.2022.03.001
eISSN
1873-7714
Zeitschrift
Gen Hosp Psychiatry
Schlüsselwörter
  • Cognitive behavior therapy
  • Functional somatic syndromes
  • Medically unexplained symptoms
  • Outcome
  • Predictor
  • Somatic symptom disorder
  • Cognitive Behavioral Therapy
  • Emotions
  • Humans
  • Medically Unexplained Symptoms
  • Somatoform Disorders
  • Treatment Outcome
Sprache
eng
Country
United States
Paginierung
11 - 20
PII
S0163-8343(22)00025-1
Datum der Veröffentlichung
2022
Status
Published
Datum, an dem der Datensatz öffentlich gemacht wurde
2022
Titel
Using clinical patient characteristics to predict treatment outcome of cognitive behavior therapies for individuals with medically unexplained symptoms: A systematic review and meta-analysis.
Sub types
  • Journal Article
  • Meta-Analysis
  • Review
  • Systematic Review
Ausgabe der Zeitschrift
77

Datenquelle: PubMed

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