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Healthcare planning across healthcare sectors in Baden-Wuerttemberg, Germany: a stakeholder online survey to identify indicators

BACKGROUND: Stakeholders in the German state of Baden-Wuerttemberg agreed upon the central aims for healthcare planning. These include a focus on geographical districts; a comprehensive, cross-sectoral perspective on healthcare needs and services; and use of regional data for healthcare planning. Th...

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Autores principales: Wronski, Pamela, Koetsenruijter, Jan, Ose, Dominik, Paulus, Jan, Szecsenyi, Joachim, Wensing, Michel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157415/
https://www.ncbi.nlm.nih.gov/pubmed/34039315
http://dx.doi.org/10.1186/s12913-021-06514-0
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author Wronski, Pamela
Koetsenruijter, Jan
Ose, Dominik
Paulus, Jan
Szecsenyi, Joachim
Wensing, Michel
author_facet Wronski, Pamela
Koetsenruijter, Jan
Ose, Dominik
Paulus, Jan
Szecsenyi, Joachim
Wensing, Michel
author_sort Wronski, Pamela
collection PubMed
description BACKGROUND: Stakeholders in the German state of Baden-Wuerttemberg agreed upon the central aims for healthcare planning. These include a focus on geographical districts; a comprehensive, cross-sectoral perspective on healthcare needs and services; and use of regional data for healthcare planning. Therefore, healthcare data at district level is needed. Nevertheless, decision makers face the challenge to make a selection from numerous indicators and frameworks, which all have limitations or do not well apply to the targeted setting. The aim of this study was to identify district level indicators to be used in Baden-Wuerttemberg for the purpose of cross-sectoral and needs-based healthcare planning involving stakeholders of the health system. METHODS: A conceptual framework for indicators was developed. A structured search for indicators identified 374 potential indicators in indicator sets of German and international institutions and agencies (n = 211), clinical practice guidelines (n = 50), data bases (n = 35), indicator databases (n = 25), published literature (n = 35), and other sources (n = 18). These indicators were categorised according to the developed framework dimensions. In an online survey, institutions of various stakeholders were invited to assess the relevance of these indicators from December 2016 until January 2017. Indicators were selected in terms of a median value of the assessed relevance. RESULTS: 22 institutions selected 212 indicators for the five dimensions non-medical determinants of health (20 indicators), health status (25), utilisation of the health system (34), health system performance (87), and healthcare provision (46). CONCLUSIONS: Stakeholders assessed a large number of indicators as relevant for use in healthcare planning on district level. TRIAL REGISTRATION: Not applicable. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06514-0.
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spelling pubmed-81574152021-05-28 Healthcare planning across healthcare sectors in Baden-Wuerttemberg, Germany: a stakeholder online survey to identify indicators Wronski, Pamela Koetsenruijter, Jan Ose, Dominik Paulus, Jan Szecsenyi, Joachim Wensing, Michel BMC Health Serv Res Research Article BACKGROUND: Stakeholders in the German state of Baden-Wuerttemberg agreed upon the central aims for healthcare planning. These include a focus on geographical districts; a comprehensive, cross-sectoral perspective on healthcare needs and services; and use of regional data for healthcare planning. Therefore, healthcare data at district level is needed. Nevertheless, decision makers face the challenge to make a selection from numerous indicators and frameworks, which all have limitations or do not well apply to the targeted setting. The aim of this study was to identify district level indicators to be used in Baden-Wuerttemberg for the purpose of cross-sectoral and needs-based healthcare planning involving stakeholders of the health system. METHODS: A conceptual framework for indicators was developed. A structured search for indicators identified 374 potential indicators in indicator sets of German and international institutions and agencies (n = 211), clinical practice guidelines (n = 50), data bases (n = 35), indicator databases (n = 25), published literature (n = 35), and other sources (n = 18). These indicators were categorised according to the developed framework dimensions. In an online survey, institutions of various stakeholders were invited to assess the relevance of these indicators from December 2016 until January 2017. Indicators were selected in terms of a median value of the assessed relevance. RESULTS: 22 institutions selected 212 indicators for the five dimensions non-medical determinants of health (20 indicators), health status (25), utilisation of the health system (34), health system performance (87), and healthcare provision (46). CONCLUSIONS: Stakeholders assessed a large number of indicators as relevant for use in healthcare planning on district level. TRIAL REGISTRATION: Not applicable. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06514-0. BioMed Central 2021-05-27 /pmc/articles/PMC8157415/ /pubmed/34039315 http://dx.doi.org/10.1186/s12913-021-06514-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Wronski, Pamela
Koetsenruijter, Jan
Ose, Dominik
Paulus, Jan
Szecsenyi, Joachim
Wensing, Michel
Healthcare planning across healthcare sectors in Baden-Wuerttemberg, Germany: a stakeholder online survey to identify indicators
title Healthcare planning across healthcare sectors in Baden-Wuerttemberg, Germany: a stakeholder online survey to identify indicators
title_full Healthcare planning across healthcare sectors in Baden-Wuerttemberg, Germany: a stakeholder online survey to identify indicators
title_fullStr Healthcare planning across healthcare sectors in Baden-Wuerttemberg, Germany: a stakeholder online survey to identify indicators
title_full_unstemmed Healthcare planning across healthcare sectors in Baden-Wuerttemberg, Germany: a stakeholder online survey to identify indicators
title_short Healthcare planning across healthcare sectors in Baden-Wuerttemberg, Germany: a stakeholder online survey to identify indicators
title_sort healthcare planning across healthcare sectors in baden-wuerttemberg, germany: a stakeholder online survey to identify indicators
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157415/
https://www.ncbi.nlm.nih.gov/pubmed/34039315
http://dx.doi.org/10.1186/s12913-021-06514-0
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