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Capturing the complexity of healthcare for people with Down syndrome in quality indicators - a Delphi study involving healthcare professionals and patient organisations
BACKGROUND: Insight into quality of healthcare for people with Down Syndrome (DS) is limited. Quality indicators (QIs) can provide this insight. This study aims to find consensus among participants regarding QIs for healthcare for people with DS. METHODS: We conducted a four-round Delphi study, in w...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385945/ https://www.ncbi.nlm.nih.gov/pubmed/32718322 http://dx.doi.org/10.1186/s12913-020-05492-z |
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author | van den Driessen Mareeuw, Francine A. Coppus, Antonia M. W. Delnoij, Diana M. J. de Vries, Esther |
author_facet | van den Driessen Mareeuw, Francine A. Coppus, Antonia M. W. Delnoij, Diana M. J. de Vries, Esther |
author_sort | van den Driessen Mareeuw, Francine A. |
collection | PubMed |
description | BACKGROUND: Insight into quality of healthcare for people with Down Syndrome (DS) is limited. Quality indicators (QIs) can provide this insight. This study aims to find consensus among participants regarding QIs for healthcare for people with DS. METHODS: We conducted a four-round Delphi study, in which 33 healthcare professionals involved in healthcare for people with DS and two patient organisations’ representatives in the Netherlands participated. Median and 75-percentiles were used to determine consensus among the answers on 5-point Likert-scales. In each round, participants received an overview of participants’ answers from the previous round. RESULTS: Participants agreed (consensus was achieved) that a QI-set should provide insight into available healthcare, enable healthcare improvements, and cover a large diversity of quality domains and healthcare disciplines. However, the number of QIs in the set should be limited in order to prevent registration burden. Participants were concerned that QIs would make quality information about individual healthcare professionals publicly available, which would induce judgement of healthcare professionals and harm quality, instead of improving it. CONCLUSIONS: We unravelled the complexity of capturing healthcare for people with DS in a QI-set. Patients’ rights to relevant information have to be carefully balanced against providers’ entitlement to a safe environment in which they can learn and improve. A QI-set should be tailored to different healthcare disciplines and information systems, and measurement instruments should be suitable for collecting information from people with DS. Results from this study and two preceding studies, will form the basis for the further development of a QI-set. |
format | Online Article Text |
id | pubmed-7385945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73859452020-07-30 Capturing the complexity of healthcare for people with Down syndrome in quality indicators - a Delphi study involving healthcare professionals and patient organisations van den Driessen Mareeuw, Francine A. Coppus, Antonia M. W. Delnoij, Diana M. J. de Vries, Esther BMC Health Serv Res Research Article BACKGROUND: Insight into quality of healthcare for people with Down Syndrome (DS) is limited. Quality indicators (QIs) can provide this insight. This study aims to find consensus among participants regarding QIs for healthcare for people with DS. METHODS: We conducted a four-round Delphi study, in which 33 healthcare professionals involved in healthcare for people with DS and two patient organisations’ representatives in the Netherlands participated. Median and 75-percentiles were used to determine consensus among the answers on 5-point Likert-scales. In each round, participants received an overview of participants’ answers from the previous round. RESULTS: Participants agreed (consensus was achieved) that a QI-set should provide insight into available healthcare, enable healthcare improvements, and cover a large diversity of quality domains and healthcare disciplines. However, the number of QIs in the set should be limited in order to prevent registration burden. Participants were concerned that QIs would make quality information about individual healthcare professionals publicly available, which would induce judgement of healthcare professionals and harm quality, instead of improving it. CONCLUSIONS: We unravelled the complexity of capturing healthcare for people with DS in a QI-set. Patients’ rights to relevant information have to be carefully balanced against providers’ entitlement to a safe environment in which they can learn and improve. A QI-set should be tailored to different healthcare disciplines and information systems, and measurement instruments should be suitable for collecting information from people with DS. Results from this study and two preceding studies, will form the basis for the further development of a QI-set. BioMed Central 2020-07-27 /pmc/articles/PMC7385945/ /pubmed/32718322 http://dx.doi.org/10.1186/s12913-020-05492-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article van den Driessen Mareeuw, Francine A. Coppus, Antonia M. W. Delnoij, Diana M. J. de Vries, Esther Capturing the complexity of healthcare for people with Down syndrome in quality indicators - a Delphi study involving healthcare professionals and patient organisations |
title | Capturing the complexity of healthcare for people with Down syndrome in quality indicators - a Delphi study involving healthcare professionals and patient organisations |
title_full | Capturing the complexity of healthcare for people with Down syndrome in quality indicators - a Delphi study involving healthcare professionals and patient organisations |
title_fullStr | Capturing the complexity of healthcare for people with Down syndrome in quality indicators - a Delphi study involving healthcare professionals and patient organisations |
title_full_unstemmed | Capturing the complexity of healthcare for people with Down syndrome in quality indicators - a Delphi study involving healthcare professionals and patient organisations |
title_short | Capturing the complexity of healthcare for people with Down syndrome in quality indicators - a Delphi study involving healthcare professionals and patient organisations |
title_sort | capturing the complexity of healthcare for people with down syndrome in quality indicators - a delphi study involving healthcare professionals and patient organisations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385945/ https://www.ncbi.nlm.nih.gov/pubmed/32718322 http://dx.doi.org/10.1186/s12913-020-05492-z |
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