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A discrete choice experiment to identify the most efficient quality indicators for the supervision of psychiatric hospitals

BACKGROUND: In the Netherlands, health care is regulated by the Health and Youth Care Inspectorate. Forty-six indicators are used to prioritize supervision of psychiatric hospitals. The objective of this study is to define a smaller set of weighted indicators which reflects a consensus among inspect...

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Autores principales: van Dijk, Pieter, Schellings, Ron, Essers, Brigitte A. B., Kessels, Alfons G., Leistikow, Ian, Zeegers, Maurice P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7069034/
https://www.ncbi.nlm.nih.gov/pubmed/32164709
http://dx.doi.org/10.1186/s12913-020-4993-1
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author van Dijk, Pieter
Schellings, Ron
Essers, Brigitte A. B.
Kessels, Alfons G.
Leistikow, Ian
Zeegers, Maurice P.
author_facet van Dijk, Pieter
Schellings, Ron
Essers, Brigitte A. B.
Kessels, Alfons G.
Leistikow, Ian
Zeegers, Maurice P.
author_sort van Dijk, Pieter
collection PubMed
description BACKGROUND: In the Netherlands, health care is regulated by the Health and Youth Care Inspectorate. Forty-six indicators are used to prioritize supervision of psychiatric hospitals. The objective of this study is to define a smaller set of weighted indicators which reflects a consensus among inspectors about which aspects are most important for risk assessment. METHODS: The set of 46 indicators, complemented with missing information, was reduced to six indicators by means of interviews, group discussions and ranking among the inspectors. These indicators were used as attributes in a discrete choice experiment (DCE) to define their weights. RESULTS: Twenty-six inspectors defined the top four indicators suitable for the risk assessment of psychiatric hospitals. These are: the policy on prevention of compulsory treatment; the policy on dysfunctional professionals; the quality of internal research after a serious incident; and the implementation of multidisciplinary guidelines on suicidal behaviour. These indicators share the same importance with regard to risk assessment. The screening of somatic symptoms and the policy on integrated care are important indicators too, but less relevant. CONCLUSION: Through a DCE, we reduced the amount of information for risk assessment of psychiatric hospitals to six weighted indicators. Inspectors can use these indicators to prioritize their inspections.
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spelling pubmed-70690342020-03-18 A discrete choice experiment to identify the most efficient quality indicators for the supervision of psychiatric hospitals van Dijk, Pieter Schellings, Ron Essers, Brigitte A. B. Kessels, Alfons G. Leistikow, Ian Zeegers, Maurice P. BMC Health Serv Res Research Article BACKGROUND: In the Netherlands, health care is regulated by the Health and Youth Care Inspectorate. Forty-six indicators are used to prioritize supervision of psychiatric hospitals. The objective of this study is to define a smaller set of weighted indicators which reflects a consensus among inspectors about which aspects are most important for risk assessment. METHODS: The set of 46 indicators, complemented with missing information, was reduced to six indicators by means of interviews, group discussions and ranking among the inspectors. These indicators were used as attributes in a discrete choice experiment (DCE) to define their weights. RESULTS: Twenty-six inspectors defined the top four indicators suitable for the risk assessment of psychiatric hospitals. These are: the policy on prevention of compulsory treatment; the policy on dysfunctional professionals; the quality of internal research after a serious incident; and the implementation of multidisciplinary guidelines on suicidal behaviour. These indicators share the same importance with regard to risk assessment. The screening of somatic symptoms and the policy on integrated care are important indicators too, but less relevant. CONCLUSION: Through a DCE, we reduced the amount of information for risk assessment of psychiatric hospitals to six weighted indicators. Inspectors can use these indicators to prioritize their inspections. BioMed Central 2020-03-12 /pmc/articles/PMC7069034/ /pubmed/32164709 http://dx.doi.org/10.1186/s12913-020-4993-1 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
van Dijk, Pieter
Schellings, Ron
Essers, Brigitte A. B.
Kessels, Alfons G.
Leistikow, Ian
Zeegers, Maurice P.
A discrete choice experiment to identify the most efficient quality indicators for the supervision of psychiatric hospitals
title A discrete choice experiment to identify the most efficient quality indicators for the supervision of psychiatric hospitals
title_full A discrete choice experiment to identify the most efficient quality indicators for the supervision of psychiatric hospitals
title_fullStr A discrete choice experiment to identify the most efficient quality indicators for the supervision of psychiatric hospitals
title_full_unstemmed A discrete choice experiment to identify the most efficient quality indicators for the supervision of psychiatric hospitals
title_short A discrete choice experiment to identify the most efficient quality indicators for the supervision of psychiatric hospitals
title_sort discrete choice experiment to identify the most efficient quality indicators for the supervision of psychiatric hospitals
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7069034/
https://www.ncbi.nlm.nih.gov/pubmed/32164709
http://dx.doi.org/10.1186/s12913-020-4993-1
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