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监测 12 个欧洲国家的健康不平等状况:从联合行动“健康公平欧洲”中吸取的教训。

Monitoring Health Inequalities in 12 European Countries: Lessons Learned from the Joint Action Health Equity Europe.

机构信息

Unit for Public Health Reporting and Evaluation, Public Health Agency of Sweden, 17182 Solna, Sweden.

Region Västra Götaland, Regionens Hus, 40544 Göteborg, Sweden.

出版信息

Int J Environ Res Public Health. 2022 Jun 23;19(13):7663. doi: 10.3390/ijerph19137663.

DOI:10.3390/ijerph19137663
PMID:35805322
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9265987/
Abstract

To raise awareness about health inequalities, a well-functioning health inequality monitoring system (HIMS) is crucial. Drawing on work conducted under the Joint Action Health Equity Europe, the aim of this paper is to illustrate the strengths and weaknesses in current health inequality monitoring based on lessons learned from 12 European countries and to discuss what can be done to strengthen their capacities. Fifty-five statements were used to collect information about the status of the capacities at different steps of the monitoring process. The results indicate that the preconditions for monitoring vary greatly between countries. The availability and quality of data are generally regarded as strong, as is the ability to disaggregate data by age and gender. Regarded as poorer is the ability to disaggregate data by socioeconomic factors, such as education and income, or by other measures of social position, such as ethnicity. Few countries have a proper health inequality monitoring strategy in place and, where in place, it is often regarded as poorly up to date with policymakers' needs. These findings suggest that non-data-related issues might be overlooked aspects of health inequality monitoring. Structures for stakeholder involvement and communication that attracts attention from policymakers are examples of aspects that deserve more effort.

摘要

为了提高对健康不平等问题的认识,一个运作良好的健康不平等监测系统(HIMS)至关重要。本文借鉴联合行动“欧洲健康公平”开展的工作,旨在根据 12 个欧洲国家的经验教训,说明当前健康不平等监测的优势和劣势,并讨论如何加强其能力。使用了 55 条陈述来收集有关监测过程不同步骤的能力状况的信息。结果表明,各国之间监测的前提条件差异很大。数据的可用性和质量通常被认为是强大的,按年龄和性别细分数据的能力也是如此。按社会经济因素(如教育和收入)或其他社会地位衡量标准(如族裔)细分数据的能力被认为较差。很少有国家制定适当的健康不平等监测战略,而且在制定战略的国家中,往往也被认为与政策制定者的需求相差甚远。这些发现表明,非数据相关问题可能是健康不平等监测中被忽视的方面。吸引政策制定者关注的利益相关者参与和沟通结构就是值得更多努力的方面的例子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d51/9265987/96c03182152b/ijerph-19-07663-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d51/9265987/8271699ba8f0/ijerph-19-07663-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d51/9265987/d04a63e2aec7/ijerph-19-07663-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d51/9265987/8a1d55a43753/ijerph-19-07663-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d51/9265987/2fd0c4225c3c/ijerph-19-07663-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d51/9265987/db93de61971b/ijerph-19-07663-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d51/9265987/96c03182152b/ijerph-19-07663-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d51/9265987/8271699ba8f0/ijerph-19-07663-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d51/9265987/d04a63e2aec7/ijerph-19-07663-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d51/9265987/8a1d55a43753/ijerph-19-07663-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d51/9265987/2fd0c4225c3c/ijerph-19-07663-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d51/9265987/db93de61971b/ijerph-19-07663-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d51/9265987/96c03182152b/ijerph-19-07663-g006.jpg

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