Nivel, Netherlands Institute for Health Services Research, PO Box 1568, Utrecht, 3500BN, Netherlands.
Vice Chair of the Board, OptiMedis AG, Hamburg, Germany.
BMC Res Notes. 2024 Jun 6;17(1):157. doi: 10.1186/s13104-024-06815-7.
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.
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.
鉴于（多种）慢性病患者人数不断增加，经济合作与发展组织（经合组织）发起了《国际慢性病患者调查》（PaRIS 调查），旨在深入了解初级保健实践提供的慢性病护理的患者报告结果和体验，以支持政策制定。本研究报告的目的是描述 PaRIS 调查中收集的数据结构，以及如何采用多层次方法进行分析，以进行跨国比较。
PaRIS 调查的数据结构代表三个层次：国家/卫生系统、初级保健实践和患者。之所以使用多层次分析，是因为它能够准确估计国家层面的结果，灵活建模关系，以及有机会将其与相关政策问题联系起来。国家层面的结果将被估计，以促进跨国比较，并随着时间的推移进行（未来）国内比较。可能解释患者报告结果和体验差异的患者特征可以与初级保健实践和国家/卫生系统特征联系起来。这使得能够解决与慢性病管理对特定慢性病患者的影响等相关的政策问题。
