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

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 out...

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Veröffentlicht in:BMC research notes Jg. 17; H. 1; S. 157 - 5
Hauptverfasser: Groenewegen, Peter, Spreeuwenberg, Peter, Timans, Rob, Groene, Oliver, Suñol, Rosa, Valderas, Jose Maria, Rijken, Mieke
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London BioMed Central 06.06.2024
BioMed Central Ltd
Springer Nature B.V
BMC
Schlagworte:
Biomedical and Life Sciences
Biomedicine
Care and treatment
Chronic Disease - therapy
Chronic diseases
Chronic illnesses
Clinical outcomes
Comparative analysis
Data Analysis
Data collection
Diagnosis
Family medicine
Gender
Health services research
Humans
International aspects
International comparison
Life Sciences
Management
Medicine/Public Health
Multilevel Analysis
Organisation for Economic Co-Operation and Development
Patient outcomes
Patient Reported Outcome Measures
Patients
Population
Primary care
Primary health care
Primary Health Care - statistics & numerical data
Questionnaires
Research Note
Sociodemographics
Surveys
Surveys and Questionnaires
Variables
Europe
France
Multilevel analysis
Primary care
International comparison
Health services research
ISSN:1756-0500, 1756-0500
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Zusammenfassung: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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ISSN:1756-0500
1756-0500
DOI:10.1186/s13104-024-06815-7