在2023年全球疾病负担研究中,绘制病率数据并确定欧盟国家的数据差距
Rok Hrzic1,2, Grant M A Wyper3,4, Enkeleint A Mechili5
1Department of International Health, Care and Public Health Research Institute-CAPHRI, Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.
Journal of public health (Oxford, England)
|February 26, 2026
概括
对欧盟 (欧盟) 国家的"2023年全球疾病负担 (GBD) "研究中的数据缺口,特别是对于肌肉骨和精神疾病,可能会影响公共政策和卫生系统的比较. 改善数据收集是至关重要的.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 流行病学 流行病学
背景情况:
- 健康数据对于有效的公共政策至关重要,特别是在复杂,快速变化的环境中.
- 全球疾病负担 (GBD) 研究为欧盟 (EU) 提供了疾病负担的基本估计.
- 这项研究确定了27个欧盟国家的2023年GBD研究中的数据缺口.
研究的目的:
- 分析27个欧盟国家的2023年GBD研究中的发病率估计数据覆盖范围.
- 识别特定的疾病群体和具有重大数据缺口的国家.
- 了解数据变化对政策和卫生系统基准分析的影响.
主要方法:
- 利用GBD2023来源工具来识别疾病发病率数据来源.
- 分析数据覆盖范围,按国家,年龄,年龄和疾病划分.
- 定义数据覆盖范围为所有数据组合至少有一个来源的存在.
主要成果:
- 欧盟各国的数据覆盖率差异很大,瑞典,奥地利和德国的数据覆盖率最高,匈牙利,罗马尼亚和保加利亚的数据覆盖率最低.
- 虽然传染病的覆盖率很高,但肌肉骨系统疾病 (15.9%),精神疾病 (32.9%) 和无意伤害 (28.1%) 存在很大的差距.
- 数据覆盖率在21世纪是最高的.
结论:
- 欧盟GBD2023发病率数据覆盖范围的变化表明估计可靠性的潜在差异.
- 国家卫生信息系统和数据共享的挑战可能会导致这些差异.
- 加强数据收集和利用对于提高健康估计的准确性和欧洲卫生系统的基准测试至关重要.
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