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经合组织成员国老年人基于指标的公共卫生监测:范围综述。

Indicator-based public health monitoring in old age in OECD member countries: a scoping review.

机构信息

Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.

Institute for Evidence in Medicine, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany.

出版信息

BMC Public Health. 2019 Aug 7;19(1):1068. doi: 10.1186/s12889-019-7287-y.

DOI:10.1186/s12889-019-7287-y
PMID:31391012
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6686554/
Abstract

BACKGROUND

The scoping review was conducted as part of the project "Improving Health Monitoring in Old Age" (IMOA) which aims at developing a conceptual framework with key indicators for a public health monitoring of the population aged 65 years and older in Germany. We systematically identified indicator-based monitoring systems that focus on health and wellbeing of older populations in member countries of the Organisation for Economic Co-operation and Development (OECD) and analysed them with regard to structure, development and content.

METHODS

A systematic search strategy included searching the websites of national public health institutes, an additional internet search and a MEDLINE search via PubMed. Indicator systems were included if they presented data on a national level, if they were published or updated after 01/01/2007, if they relied on more than one data source and if they were available in English or German. Data on the structure and development of the indicator sets were extracted using a standardized documentation form, and a content analysis of the indicators was conducted using a pre-defined conceptual framework with three health areas and 11 health domains that is based on the Worlds Health Organization's "World Report on Ageing and Health" and on the International Classification of Functioning, Disability and Health (ICF).

RESULTS

Ten indicator-based monitoring systems met our inclusion criteria. Of these, six systems focused exclusively on older populations, and four offer a specific subset of indicators for older age. The number of indicators varied between 22 and 53 (median 32.5). Four systems were directly related to national public health or healthy ageing strategies, and two systems had been developed in consensus processes involving multiple stakeholders. The highest numbers of indicators could be assigned to the domains "health care", "nursing and community care", "wealth and poverty" and "physical health". Overall, 47 different concepts could be identified in the monitoring systems.

CONCLUSION

Among indicator-based monitoring systems of health in older age identified in member countries of the OECD, there is considerable variation with regard to structure, development and content. The results will inspire the development of a public health monitoring of the older population in Germany.

摘要

背景

本综述作为“改善老年健康监测”(IMOA)项目的一部分进行,该项目旨在为德国 65 岁及以上人口的公共卫生监测制定一个包含关键指标的概念框架。我们系统地确定了以经合组织成员国老年人口健康和幸福为重点的基于指标的监测系统,并对其结构、发展和内容进行了分析。

方法

系统的搜索策略包括在国家公共卫生机构的网站上搜索、额外的互联网搜索以及通过 PubMed 在 MEDLINE 上搜索。如果监测系统提供了国家级数据,如果它们是在 2007 年 1 月 1 日之后发布或更新的,如果它们依赖于多个数据源,并且如果它们可以用英语或德语获得,则将其纳入研究。使用标准化的文档表格提取指标集的结构和发展数据,并使用基于世界卫生组织“世界老龄化与健康报告”和国际功能、残疾和健康分类(ICF)的三个健康领域和 11 个健康领域的预定义概念框架对指标进行内容分析。

结果

符合纳入标准的 10 个基于指标的监测系统。其中,有 6 个系统专门针对老年人群,4 个系统提供了特定的老年年龄指标子集。指标数量在 22 到 53 之间(中位数为 32.5)。四个系统直接与国家公共卫生或健康老龄化战略相关,两个系统是在涉及多个利益相关者的共识过程中制定的。最多的指标可以分配到“医疗保健”、“护理和社区护理”、“财富和贫困”以及“身体健康”等领域。总体而言,监测系统中可以识别出 47 个不同的概念。

结论

在经合组织成员国确定的老年健康指标监测系统中,在结构、发展和内容方面存在相当大的差异。研究结果将为德国老年人口的公共卫生监测提供启发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab14/6686554/64f44750c79c/12889_2019_7287_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab14/6686554/627698eadd5d/12889_2019_7287_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab14/6686554/e8f509bbba6c/12889_2019_7287_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab14/6686554/64f44750c79c/12889_2019_7287_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab14/6686554/627698eadd5d/12889_2019_7287_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab14/6686554/e8f509bbba6c/12889_2019_7287_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab14/6686554/64f44750c79c/12889_2019_7287_Fig3_HTML.jpg

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