The effects of patients' expectations on surgery outcome in total hip and knee arthroplasty: a prognostic factor meta-analysis.


Journal

Health psychology review
ISSN: 1743-7202
Titre abrégé: Health Psychol Rev
Pays: England
ID NLM: 101299723

Informations de publication

Date de publication:
03 2022
Historique:
pubmed: 25 11 2020
medline: 8 4 2022
entrez: 24 11 2020
Statut: ppublish

Résumé

Patients' expectations are among the most frequently studied psychological prognostic factors in total knee and hip arthroplasty (TKA/THA). So far, however, evidence on the effect of patients' preoperative expectations on surgery outcome is inconclusive. Heterogeneity of expectation constructs and the use of psychometrically not evaluated measurement instruments have constituted major obstacles for the integration of the current literature. Using a theory-based model of expectation constructs , this meta-analysis set out to disentangle the conflicting results in the current literature. Systematic literature searches yielded

Identifiants

pubmed: 33228474
doi: 10.1080/17437199.2020.1854051
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

50-66

Auteurs

Johannes A C Laferton (JAC)

Division of Clinical Psychology and Psychotherapy, Psychologische Hochschule Berlin, Berlin, Germany.
Division of Clinical Psychology and Psychotherapy, Department of Psychology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Division of Psychological Medicine, Department of Medicine, Health and Medical University Potsdam, Potsdam, Germany.

Lara Oeltjen (L)

Department of Psychological Methods, Institute of Psychology, Friedrich-Schiller-Universität Jena, Jena, Germany.

Karolin Neubauer (K)

VAMED Gesundheit Holding Deutschland, Damp, Germany.

David D Ebert (DD)

Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.

Thomas Munder (T)

Department of Psychology, University of Zurich, Zurich, Switzerland.

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Classifications MeSH