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Development and psychometric evaluation of the Transdiagnostic Decision Tool: matched care for patients with a mental disorder in need of highly specialised care

BACKGROUND: Early identification of patients with mental health problems in need of highly specialised care could enhance the timely provision of appropriate care and improve the clinical and cost-effectiveness of treatment strategies. Recent research on the development and psychometric evaluation o...

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Autores principales: van Krugten, Frédérique C. W., van der Feltz-Cornelis, Christina M., Boeschoten, Manon A., van Broeckhuysen-Kloth, Saskia A. M., van Eck van der Sluijs, Jonna F., van Ee, Elisa, van Es, Saskia M., Schoorl, Maartje, Tak, Lineke M., Brouwer, Werner B. F., Hakkaart-van Roijen, Leona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488321/
http://dx.doi.org/10.1192/bjo.2020.74
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author van Krugten, Frédérique C. W.
van der Feltz-Cornelis, Christina M.
Boeschoten, Manon A.
van Broeckhuysen-Kloth, Saskia A. M.
van Eck van der Sluijs, Jonna F.
van Ee, Elisa
van Es, Saskia M.
Schoorl, Maartje
Tak, Lineke M.
Brouwer, Werner B. F.
Hakkaart-van Roijen, Leona
author_facet van Krugten, Frédérique C. W.
van der Feltz-Cornelis, Christina M.
Boeschoten, Manon A.
van Broeckhuysen-Kloth, Saskia A. M.
van Eck van der Sluijs, Jonna F.
van Ee, Elisa
van Es, Saskia M.
Schoorl, Maartje
Tak, Lineke M.
Brouwer, Werner B. F.
Hakkaart-van Roijen, Leona
author_sort van Krugten, Frédérique C. W.
collection PubMed
description BACKGROUND: Early identification of patients with mental health problems in need of highly specialised care could enhance the timely provision of appropriate care and improve the clinical and cost-effectiveness of treatment strategies. Recent research on the development and psychometric evaluation of diagnosis-specific decision-support algorithms suggested that the treatment allocation of patients to highly specialised mental healthcare settings may be guided by a core set of transdiagnostic patient factors. AIMS: To develop and psychometrically evaluate a transdiagnostic decision tool to facilitate the uniform assessment of highly specialised mental healthcare need in heterogeneous patient groups. METHOD: The Transdiagnostic Decision Tool was developed based on an analysis of transdiagnostic items of earlier developed diagnosis-specific decision tools. The Transdiagnostic Decision Tool was psychometrically evaluated in 505 patients with a somatic symptom disorder or post-traumatic stress disorder. Feasibility, interrater reliability, convergent validity and criterion validity were assessed. In order to evaluate convergent validity, the five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) and the ICEpop CAPability measure for Adults (ICECAP-A) were administered. RESULTS: The six-item clinician-administered Transdiagnostic Decision Tool demonstrated excellent feasibility and acceptable interrater reliability. Spearman's rank correlations between the Transdiagnostic Decision Tool and ICECAP-A (−0.335), EQ-5D-5L index (−0.386) and EQ-5D-visual analogue scale (−0.348) supported convergent validity. The area under the curve was 0.81 and a cut-off value of ≥3 was found to represent the optimal cut-off value. CONCLUSIONS: The Transdiagnostic Decision Tool demonstrated solid psychometric properties and showed promise as a measure for the early detection of patients in need of highly specialised mental healthcare.
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spelling pubmed-74883212020-09-21 Development and psychometric evaluation of the Transdiagnostic Decision Tool: matched care for patients with a mental disorder in need of highly specialised care van Krugten, Frédérique C. W. van der Feltz-Cornelis, Christina M. Boeschoten, Manon A. van Broeckhuysen-Kloth, Saskia A. M. van Eck van der Sluijs, Jonna F. van Ee, Elisa van Es, Saskia M. Schoorl, Maartje Tak, Lineke M. Brouwer, Werner B. F. Hakkaart-van Roijen, Leona BJPsych Open Papers BACKGROUND: Early identification of patients with mental health problems in need of highly specialised care could enhance the timely provision of appropriate care and improve the clinical and cost-effectiveness of treatment strategies. Recent research on the development and psychometric evaluation of diagnosis-specific decision-support algorithms suggested that the treatment allocation of patients to highly specialised mental healthcare settings may be guided by a core set of transdiagnostic patient factors. AIMS: To develop and psychometrically evaluate a transdiagnostic decision tool to facilitate the uniform assessment of highly specialised mental healthcare need in heterogeneous patient groups. METHOD: The Transdiagnostic Decision Tool was developed based on an analysis of transdiagnostic items of earlier developed diagnosis-specific decision tools. The Transdiagnostic Decision Tool was psychometrically evaluated in 505 patients with a somatic symptom disorder or post-traumatic stress disorder. Feasibility, interrater reliability, convergent validity and criterion validity were assessed. In order to evaluate convergent validity, the five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) and the ICEpop CAPability measure for Adults (ICECAP-A) were administered. RESULTS: The six-item clinician-administered Transdiagnostic Decision Tool demonstrated excellent feasibility and acceptable interrater reliability. Spearman's rank correlations between the Transdiagnostic Decision Tool and ICECAP-A (−0.335), EQ-5D-5L index (−0.386) and EQ-5D-visual analogue scale (−0.348) supported convergent validity. The area under the curve was 0.81 and a cut-off value of ≥3 was found to represent the optimal cut-off value. CONCLUSIONS: The Transdiagnostic Decision Tool demonstrated solid psychometric properties and showed promise as a measure for the early detection of patients in need of highly specialised mental healthcare. Cambridge University Press 2020-08-25 /pmc/articles/PMC7488321/ http://dx.doi.org/10.1192/bjo.2020.74 Text en © The Author(s) 2020 http://creativecommons.org/licenses/by-nc-sa/4.0/ http://creativecommons.org/licenses/by-nc-sa/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (http://creativecommons.org/licenses/by-nc-sa/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is included and the original work is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use.
spellingShingle Papers
van Krugten, Frédérique C. W.
van der Feltz-Cornelis, Christina M.
Boeschoten, Manon A.
van Broeckhuysen-Kloth, Saskia A. M.
van Eck van der Sluijs, Jonna F.
van Ee, Elisa
van Es, Saskia M.
Schoorl, Maartje
Tak, Lineke M.
Brouwer, Werner B. F.
Hakkaart-van Roijen, Leona
Development and psychometric evaluation of the Transdiagnostic Decision Tool: matched care for patients with a mental disorder in need of highly specialised care
title Development and psychometric evaluation of the Transdiagnostic Decision Tool: matched care for patients with a mental disorder in need of highly specialised care
title_full Development and psychometric evaluation of the Transdiagnostic Decision Tool: matched care for patients with a mental disorder in need of highly specialised care
title_fullStr Development and psychometric evaluation of the Transdiagnostic Decision Tool: matched care for patients with a mental disorder in need of highly specialised care
title_full_unstemmed Development and psychometric evaluation of the Transdiagnostic Decision Tool: matched care for patients with a mental disorder in need of highly specialised care
title_short Development and psychometric evaluation of the Transdiagnostic Decision Tool: matched care for patients with a mental disorder in need of highly specialised care
title_sort development and psychometric evaluation of the transdiagnostic decision tool: matched care for patients with a mental disorder in need of highly specialised care
topic Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488321/
http://dx.doi.org/10.1192/bjo.2020.74
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