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Understanding cancer networks better to implement them more effectively: a mixed methods multi-case study

BACKGROUND: Managed cancer networks are widely promoted in national cancer control programs as an organizational form that enables integrated care as well as enhanced patient outcomes. While national programs are set by policy-makers, the detailed implementation of networks is delegated at the servi...

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Autores principales: Tremblay, Dominique, Touati, Nassera, Roberge, Danièle, Breton, Mylaine, Roch, Geneviève, Denis, Jean-Louis, Candas, Bernard, Francoeur, Danièle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802906/
https://www.ncbi.nlm.nih.gov/pubmed/27000152
http://dx.doi.org/10.1186/s13012-016-0404-8
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author Tremblay, Dominique
Touati, Nassera
Roberge, Danièle
Breton, Mylaine
Roch, Geneviève
Denis, Jean-Louis
Candas, Bernard
Francoeur, Danièle
author_facet Tremblay, Dominique
Touati, Nassera
Roberge, Danièle
Breton, Mylaine
Roch, Geneviève
Denis, Jean-Louis
Candas, Bernard
Francoeur, Danièle
author_sort Tremblay, Dominique
collection PubMed
description BACKGROUND: Managed cancer networks are widely promoted in national cancer control programs as an organizational form that enables integrated care as well as enhanced patient outcomes. While national programs are set by policy-makers, the detailed implementation of networks is delegated at the service delivery and institutional levels. It is likely that the capacity to ensure more integrated cancer services requires multi-level governance processes responsive to the strengths and limitations of the contexts and capable of supporting network-based working. Based on an empirical case, this study aims to analyze the implementation of a mandated cancer network, focusing on governance and health services integration as core concepts in the study. METHODS/DESIGN: This nested multi-case study uses mixed methods to explore the implementation of a mandated cancer network in Quebec, a province of Canada. The case is the National Cancer Network (NCN) subdivided into three micro-cases, each defined by the geographic territory of a health and social services region. For each region, two local health services centers (LHSCs) are selected based on their differences with respect to determining characteristics. Qualitative data will be collected from various sources using three strategies: review of documents, focus groups, and semi-directed interviews with stakeholders. The qualitative data will be supplemented with a survey that will measure the degree of integration as a proxy for implementation of the NCN. A score will be constructed, and then triangulated with the qualitative data, which will have been subjected to content analysis. Qualitative, quantitative, and mixed methods data will be interpreted within and across cases in order to identify governance patterns similarities and differences and degree of integration in contexts. DISCUSSION: This study is designed to inform decision-making to develop more effective network implementation strategies by thoroughly describing multi-level governance processes of a sample of settings that provide cancer services. Although the study focuses on the implementation of a cancer network in Quebec, the rich descriptions of multiple nested cases will generate data with a degree of generalizability for health-care systems in developed countries. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13012-016-0404-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-48029062016-03-23 Understanding cancer networks better to implement them more effectively: a mixed methods multi-case study Tremblay, Dominique Touati, Nassera Roberge, Danièle Breton, Mylaine Roch, Geneviève Denis, Jean-Louis Candas, Bernard Francoeur, Danièle Implement Sci Study Protocol BACKGROUND: Managed cancer networks are widely promoted in national cancer control programs as an organizational form that enables integrated care as well as enhanced patient outcomes. While national programs are set by policy-makers, the detailed implementation of networks is delegated at the service delivery and institutional levels. It is likely that the capacity to ensure more integrated cancer services requires multi-level governance processes responsive to the strengths and limitations of the contexts and capable of supporting network-based working. Based on an empirical case, this study aims to analyze the implementation of a mandated cancer network, focusing on governance and health services integration as core concepts in the study. METHODS/DESIGN: This nested multi-case study uses mixed methods to explore the implementation of a mandated cancer network in Quebec, a province of Canada. The case is the National Cancer Network (NCN) subdivided into three micro-cases, each defined by the geographic territory of a health and social services region. For each region, two local health services centers (LHSCs) are selected based on their differences with respect to determining characteristics. Qualitative data will be collected from various sources using three strategies: review of documents, focus groups, and semi-directed interviews with stakeholders. The qualitative data will be supplemented with a survey that will measure the degree of integration as a proxy for implementation of the NCN. A score will be constructed, and then triangulated with the qualitative data, which will have been subjected to content analysis. Qualitative, quantitative, and mixed methods data will be interpreted within and across cases in order to identify governance patterns similarities and differences and degree of integration in contexts. DISCUSSION: This study is designed to inform decision-making to develop more effective network implementation strategies by thoroughly describing multi-level governance processes of a sample of settings that provide cancer services. Although the study focuses on the implementation of a cancer network in Quebec, the rich descriptions of multiple nested cases will generate data with a degree of generalizability for health-care systems in developed countries. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13012-016-0404-8) contains supplementary material, which is available to authorized users. BioMed Central 2016-03-21 /pmc/articles/PMC4802906/ /pubmed/27000152 http://dx.doi.org/10.1186/s13012-016-0404-8 Text en © Tremblay et al. 2016 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 Study Protocol
Tremblay, Dominique
Touati, Nassera
Roberge, Danièle
Breton, Mylaine
Roch, Geneviève
Denis, Jean-Louis
Candas, Bernard
Francoeur, Danièle
Understanding cancer networks better to implement them more effectively: a mixed methods multi-case study
title Understanding cancer networks better to implement them more effectively: a mixed methods multi-case study
title_full Understanding cancer networks better to implement them more effectively: a mixed methods multi-case study
title_fullStr Understanding cancer networks better to implement them more effectively: a mixed methods multi-case study
title_full_unstemmed Understanding cancer networks better to implement them more effectively: a mixed methods multi-case study
title_short Understanding cancer networks better to implement them more effectively: a mixed methods multi-case study
title_sort understanding cancer networks better to implement them more effectively: a mixed methods multi-case study
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802906/
https://www.ncbi.nlm.nih.gov/pubmed/27000152
http://dx.doi.org/10.1186/s13012-016-0404-8
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