Q3137569 (Q3137569): Difference between revisions
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(Created claim: summary (P836): Objectives: 1.Build the multimorbidity network, quantify parameters attributes of nodes and analyse subnets focused on health problems. 2. Compare subnets by group (sex, age, territories and periods). 3. Identify high connectivity and vulnerable nodes. 4. Build networks of simultaneous use of medication and 5. Bipartite/multilayer disease networks -> medicines, and identify determinants of polymedication and relevant associations. Methods: Retro...) |
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Objectives: 1.Build the multimorbidity network, quantify parameters attributes of nodes and analyse subnets focused on health problems. 2. Compare subnets by group (sex, age, territories and periods). 3. Identify high connectivity and vulnerable nodes. 4. Build networks of simultaneous use of medication and 5. Bipartite/multilayer disease networks -> medicines, and identify determinants of polymedication and relevant associations. Methods: Retrospective longitudinal population study based on the clinical history of the Information System for the Development of Primary Care Research (SIDIAP), which includes 5.8 million citizens of Catalonia. Subjects: age 18 or older, with 2 or more chronic health problems. Variables: age, sex, chronic problems (ICPC-2 code), start and end date, chronic medication (ATC group), start and end date, territory, rurality, quadrennial period: 2005-16. Network analysis: Non-directional except bipartite/multilayer. Network parameters, node attributes, and connectivity motif patterns will be obtained with free R, Cytoscape and Gephi programs. A web portal will be developed for collaborative work of researchers and dissemination of results to citizens with interactive visualisation of networks with Shiny software. (English) | |||||||||||||||
| Property / summary: Objectives: 1.Build the multimorbidity network, quantify parameters attributes of nodes and analyse subnets focused on health problems. 2. Compare subnets by group (sex, age, territories and periods). 3. Identify high connectivity and vulnerable nodes. 4. Build networks of simultaneous use of medication and 5. Bipartite/multilayer disease networks -> medicines, and identify determinants of polymedication and relevant associations. Methods: Retrospective longitudinal population study based on the clinical history of the Information System for the Development of Primary Care Research (SIDIAP), which includes 5.8 million citizens of Catalonia. Subjects: age 18 or older, with 2 or more chronic health problems. Variables: age, sex, chronic problems (ICPC-2 code), start and end date, chronic medication (ATC group), start and end date, territory, rurality, quadrennial period: 2005-16. Network analysis: Non-directional except bipartite/multilayer. Network parameters, node attributes, and connectivity motif patterns will be obtained with free R, Cytoscape and Gephi programs. A web portal will be developed for collaborative work of researchers and dissemination of results to citizens with interactive visualisation of networks with Shiny software. (English) / rank | |||||||||||||||
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| Property / summary: Objectives: 1.Build the multimorbidity network, quantify parameters attributes of nodes and analyse subnets focused on health problems. 2. Compare subnets by group (sex, age, territories and periods). 3. Identify high connectivity and vulnerable nodes. 4. Build networks of simultaneous use of medication and 5. Bipartite/multilayer disease networks -> medicines, and identify determinants of polymedication and relevant associations. Methods: Retrospective longitudinal population study based on the clinical history of the Information System for the Development of Primary Care Research (SIDIAP), which includes 5.8 million citizens of Catalonia. Subjects: age 18 or older, with 2 or more chronic health problems. Variables: age, sex, chronic problems (ICPC-2 code), start and end date, chronic medication (ATC group), start and end date, territory, rurality, quadrennial period: 2005-16. Network analysis: Non-directional except bipartite/multilayer. Network parameters, node attributes, and connectivity motif patterns will be obtained with free R, Cytoscape and Gephi programs. A web portal will be developed for collaborative work of researchers and dissemination of results to citizens with interactive visualisation of networks with Shiny software. (English) / qualifier | |||||||||||||||
point in time: 12 October 2021
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Revision as of 12:35, 12 October 2021
Project Q3137569 in Spain
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | No label defined |
Project Q3137569 in Spain |
Statements
9,500.0 Euro
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19,000.0 Euro
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50.0 percent
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1 January 2018
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31 March 2021
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CONSORCI SANITARI INTEGRAL
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41°21'35.50"N, 2°5'59.24"E
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08101
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Objetivos: 1.Construir la red de multimorbilidad, cuantificar parámetros atributos de los nodos y analizar subredes centradas en problemas de salud. 2. Comparar subredes por grupos (sexo, edad, territorios y períodos). 3. Identificar nodos de alta conectividad y vulnerables. 4. Construir redes de uso simultáneo de medicación y 5. Redes bipartidas/multicapa enfermedades -> medicamentos, e identificar determinantes de polimedicación y asociaciones relevantes. Métodos: Estudio poblacional longitudinal retrospectivo a partir del registro de la historia clínica del Sistema de Información para el Desarrollo de la Investigación en Atención Primaria (SIDIAP) que incluye 5,8 millones de ciudadanos de Cataluña. Sujetos: de 18 años ó más, con 2 ó más problemas crónicos de salud. Variables: edad, sexo, problemas crónicos (código ICPC-2), fecha inicio y fin, medicación crónica (grupo ATC), fecha inicio y fin, territorio, ruralidad, cuadrienio Período: 2005-16. Análisis de redes: No direccionales excepto bipartidas/multicapa. Se obtendrán parámetros de redes, atributos de nodos y patrones de motivos de conectividad con los programas libres R, Cytoscape y Gephi. Se elaborará un portal web para trabajo colaborativo de los investigadores y para la difusión de resultados a los ciudadanos con visualización interactiva de las redes con el software Shiny. (Spanish)
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Objectives: 1.Build the multimorbidity network, quantify parameters attributes of nodes and analyse subnets focused on health problems. 2. Compare subnets by group (sex, age, territories and periods). 3. Identify high connectivity and vulnerable nodes. 4. Build networks of simultaneous use of medication and 5. Bipartite/multilayer disease networks -> medicines, and identify determinants of polymedication and relevant associations. Methods: Retrospective longitudinal population study based on the clinical history of the Information System for the Development of Primary Care Research (SIDIAP), which includes 5.8 million citizens of Catalonia. Subjects: age 18 or older, with 2 or more chronic health problems. Variables: age, sex, chronic problems (ICPC-2 code), start and end date, chronic medication (ATC group), start and end date, territory, rurality, quadrennial period: 2005-16. Network analysis: Non-directional except bipartite/multilayer. Network parameters, node attributes, and connectivity motif patterns will be obtained with free R, Cytoscape and Gephi programs. A web portal will be developed for collaborative work of researchers and dissemination of results to citizens with interactive visualisation of networks with Shiny software. (English)
12 October 2021
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Hospitalet de Llobregat, L'
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Identifiers
PI17_01182
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