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Data analysis plan of the OECD PaRIS survey: leveraging a multi-level approach to analyse data collected from people living with chronic conditions and their primary care practices in 20 countries.
Groenewegen, Peter; Spreeuwenberg, Peter; Timans, Rob; Groene, Oliver; Suñol, Rosa; Valderas, Jose Maria; Rijken, Mieke.
Afiliación
  • Groenewegen P; Nivel, Netherlands Institute for Health Services Research, PO Box 1568, Utrecht, 3500BN, Netherlands. p.groenewegen@nivel.nl.
  • Spreeuwenberg P; Nivel, Netherlands Institute for Health Services Research, PO Box 1568, Utrecht, 3500BN, Netherlands.
  • Timans R; Nivel, Netherlands Institute for Health Services Research, PO Box 1568, Utrecht, 3500BN, Netherlands.
  • Groene O; Vice Chair of the Board, OptiMedis AG, Hamburg, Germany.
  • Suñol R; Department of Management and Entrepreneurship, Faculty of Business, Economics and Society, University of Witten/Herdecke, Witten, Germany.
  • Valderas JM; Avedis Donabedian Research Institute, Barcelona, Spain.
  • Rijken M; Red de investigación en servicios de salud en enfermedades crónicas (REDISSEC), Barcelona, Spain.
BMC Res Notes ; 17(1): 157, 2024 Jun 06.
Article en En | MEDLINE | ID: mdl-38845064
ABSTRACT

OBJECTIVE:

In view of the increasing number of people with (multiple) chronic conditions, the Organisation for Economic Co-operation and Development (OECD) initiated the International Survey of People Living with Chronic Conditions (PaRIS survey), which aims to provide insight in patient-reported outcomes and experiences of chronic care provided by primary care practices to support policy development. The objective of this research note is to describe the structure of the data, collected in the PaRIS survey and how the data will be analysed in a multilevel approach for cross-country comparison. ANALYSIS PLAN The data structure of the PaRIS survey represents three levels countries/health systems, primary care practices and patients. Multilevel analysis is used because of its accuracy in estimating country-level outcomes, its flexibility in modelling relationships, and its opportunities in connecting to relevant policy questions. Country-level outcomes will be estimated to facilitate cross-country comparison and (future) within-country comparison over time. Characteristics of patients that potentially explain variation in patient-reported outcomes and experiences can be linked to primary care practice and country/health system characteristics. This makes it possible to address policy-relevant questions relating, e.g., to the impact of chronic care management on patients with a specific chronic condition.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Atención Primaria de Salud / Organización para la Cooperación y el Desarrollo Económico Límite: Humans Idioma: En Revista: BMC Res Notes Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Atención Primaria de Salud / Organización para la Cooperación y el Desarrollo Económico Límite: Humans Idioma: En Revista: BMC Res Notes Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido