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Optimising Integrated Stroke Care in Regional Networks: A Nationwide Self-Assessment Study in 2012, 2015 and 2019

BACKGROUND: To help enhance the quality of integrated stroke care delivery, regional stroke services networks in the Netherlands participated in a self-assessment study in 2012, 2015 and 2019. METHODS: Coordinators of the regional stroke services networks filled out an online self-assessment questio...

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Autores principales: Voogdt-Pruis, Helene R., Zonneveld, Nick, Bergsma, Monique, van Wijk, Elize, Kerkhoff, Henk, van der Dussen, Luikje, Kuijpens, Maartje, Vrijhoef, Hubertus J. M., Minkman, Mirella M. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8462476/
https://www.ncbi.nlm.nih.gov/pubmed/34621148
http://dx.doi.org/10.5334/ijic.5611
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author Voogdt-Pruis, Helene R.
Zonneveld, Nick
Bergsma, Monique
van Wijk, Elize
Kerkhoff, Henk
van der Dussen, Luikje
Kuijpens, Maartje
Vrijhoef, Hubertus J. M.
Minkman, Mirella M. N.
author_facet Voogdt-Pruis, Helene R.
Zonneveld, Nick
Bergsma, Monique
van Wijk, Elize
Kerkhoff, Henk
van der Dussen, Luikje
Kuijpens, Maartje
Vrijhoef, Hubertus J. M.
Minkman, Mirella M. N.
author_sort Voogdt-Pruis, Helene R.
collection PubMed
description BACKGROUND: To help enhance the quality of integrated stroke care delivery, regional stroke services networks in the Netherlands participated in a self-assessment study in 2012, 2015 and 2019. METHODS: Coordinators of the regional stroke services networks filled out an online self-assessment questionnaire in 2012, 2015 and 2019. The questionnaire, which was based on the Development Model for Integrated Care, consisted of 97 questions in nine clusters (themes). Cluster scores were calculated as proportions of the activities implemented. Associations between clusters and features of stroke services were assessed by regression analysis. RESULTS: The response rate varied from 93.1% (2012) to 85.5% (2019). Over the years, the regional stroke services networks increased in ‘size’: the median number of organisations involved and the volume of patients per network increased (7 and 499 in 2019, compared to 5 and 364 in 2012). At the same time, fewer coordinators were appointed for more than 1 day a week in 2019 (35.1%) compared to 2012 (45.9%). Between 2012 and 2019, there were statistically significantly more elements implemented in four out of nine clusters: ‘Transparent entrepreneurship’ (MD = 18.0% F(1) = 10.693, p = 0.001), ‘Roles and tasks’ (MD = 14.0% F(1) = 9.255, p = 0.003), ‘Patient-centeredness’ (MD = 12.9% F(1) = 9.255, p = 0.003), and ‘Commitment’ (MD = 11.2%, F(1) = 4.982, p = 0.028). A statistically significant positive correlation was found for all clusters between implementation of activities and age of the network. In addition, the number of involved organisations is associated with better execution of implemented activities for ‘Transparent entrepreneurship’, ‘Result-focused learning’ and ‘Quality of care’. Conversely, there are small but negative associations between the volume of patients and implementation rates for ‘Interprofessional teamwork’ and ‘Patient-centredness’. CONCLUSION: This long-term analyses of stroke service development in the Netherlands, showed that between 2012 and 2019, integrated care activities within the regional stroke networks increased. Experience in collaboration between organisations within a network benefits the uptake of integrated care activities.
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spelling pubmed-84624762021-10-06 Optimising Integrated Stroke Care in Regional Networks: A Nationwide Self-Assessment Study in 2012, 2015 and 2019 Voogdt-Pruis, Helene R. Zonneveld, Nick Bergsma, Monique van Wijk, Elize Kerkhoff, Henk van der Dussen, Luikje Kuijpens, Maartje Vrijhoef, Hubertus J. M. Minkman, Mirella M. N. Int J Integr Care Research and Theory BACKGROUND: To help enhance the quality of integrated stroke care delivery, regional stroke services networks in the Netherlands participated in a self-assessment study in 2012, 2015 and 2019. METHODS: Coordinators of the regional stroke services networks filled out an online self-assessment questionnaire in 2012, 2015 and 2019. The questionnaire, which was based on the Development Model for Integrated Care, consisted of 97 questions in nine clusters (themes). Cluster scores were calculated as proportions of the activities implemented. Associations between clusters and features of stroke services were assessed by regression analysis. RESULTS: The response rate varied from 93.1% (2012) to 85.5% (2019). Over the years, the regional stroke services networks increased in ‘size’: the median number of organisations involved and the volume of patients per network increased (7 and 499 in 2019, compared to 5 and 364 in 2012). At the same time, fewer coordinators were appointed for more than 1 day a week in 2019 (35.1%) compared to 2012 (45.9%). Between 2012 and 2019, there were statistically significantly more elements implemented in four out of nine clusters: ‘Transparent entrepreneurship’ (MD = 18.0% F(1) = 10.693, p = 0.001), ‘Roles and tasks’ (MD = 14.0% F(1) = 9.255, p = 0.003), ‘Patient-centeredness’ (MD = 12.9% F(1) = 9.255, p = 0.003), and ‘Commitment’ (MD = 11.2%, F(1) = 4.982, p = 0.028). A statistically significant positive correlation was found for all clusters between implementation of activities and age of the network. In addition, the number of involved organisations is associated with better execution of implemented activities for ‘Transparent entrepreneurship’, ‘Result-focused learning’ and ‘Quality of care’. Conversely, there are small but negative associations between the volume of patients and implementation rates for ‘Interprofessional teamwork’ and ‘Patient-centredness’. CONCLUSION: This long-term analyses of stroke service development in the Netherlands, showed that between 2012 and 2019, integrated care activities within the regional stroke networks increased. Experience in collaboration between organisations within a network benefits the uptake of integrated care activities. Ubiquity Press 2021-09-20 /pmc/articles/PMC8462476/ /pubmed/34621148 http://dx.doi.org/10.5334/ijic.5611 Text en Copyright: © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research and Theory
Voogdt-Pruis, Helene R.
Zonneveld, Nick
Bergsma, Monique
van Wijk, Elize
Kerkhoff, Henk
van der Dussen, Luikje
Kuijpens, Maartje
Vrijhoef, Hubertus J. M.
Minkman, Mirella M. N.
Optimising Integrated Stroke Care in Regional Networks: A Nationwide Self-Assessment Study in 2012, 2015 and 2019
title Optimising Integrated Stroke Care in Regional Networks: A Nationwide Self-Assessment Study in 2012, 2015 and 2019
title_full Optimising Integrated Stroke Care in Regional Networks: A Nationwide Self-Assessment Study in 2012, 2015 and 2019
title_fullStr Optimising Integrated Stroke Care in Regional Networks: A Nationwide Self-Assessment Study in 2012, 2015 and 2019
title_full_unstemmed Optimising Integrated Stroke Care in Regional Networks: A Nationwide Self-Assessment Study in 2012, 2015 and 2019
title_short Optimising Integrated Stroke Care in Regional Networks: A Nationwide Self-Assessment Study in 2012, 2015 and 2019
title_sort optimising integrated stroke care in regional networks: a nationwide self-assessment study in 2012, 2015 and 2019
topic Research and Theory
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8462476/
https://www.ncbi.nlm.nih.gov/pubmed/34621148
http://dx.doi.org/10.5334/ijic.5611
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