评估基于人口的行政数据的链接质量,用于卫生服务研究
Ji-Woo Kim1, Hyojung Choi2, Hyun Jeung Lim3
1Big Data Linkage Division, Health Insurance Review & Assessment Service, Wonju, Korea.
Journal of Korean medical science
|April 16, 2024
概括
这项研究评估了国家卫生数据的数据链接方法,发现使用名称和出生日期等部分标识符可以创建可靠的链接数据集. 质量验证对于准确的健康研究和多中心研究至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
- 生物统计学 生物统计学
背景情况:
- 单一机构的数据限制需要强大的数据链接方法.
- 数据链接引入了影响偏见和有效性的错误,需要质量验证和个人信息保护.
- 评估连接质量对于可靠的健康和医疗数据分析至关重要.
研究的目的:
- 用确定性链接方法评估链接的健康数据的链接质量.
- 分析健康主张数据中的链接错误导致的潜在偏差.
- 为国家一级的健康数据链接建立质量验证框架.
主要方法:
- 来自健康保险审查和评估服务 (HIRA数据) 的索赔数据分析.
- 评估两种决定性链接方法:唯一识别号码与部分标识符 (姓名,性别,出生日期).
- 使用诸如链接率,错误匹配率,错过匹配率和科恩对偏差分析的d等指标评估链接质量.
主要成果:
- 使用姓名,性别和出生日期的联系方法实现了83.5%的真匹配率和16.5%的错误匹配率.
- 虽然观察到一些基线特征偏差,但大多数绝对标准化差异 (ASD) 低于0.1,表明最小的实质差异.
- 该研究表明,通过链接构建国家一级健康数据的可行性.
结论:
- 证实了使用HIRA的大数据构建国家级健康和医疗数据的可能性.
- 强调分析链接质量对于理解错误和确保可靠的分析结果至关重要.
- 提供参考数据,以提高多中心数据链接研究的可靠性,并指导研究人员了解链接错误信息.
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