巴西的药物使用研究 (DUS) 的关系数据库:对门诊数据的分析和整合
Roberto Eduardo Schneiders1,2, Andréia Turmina Fontanella2, Ivan Ricardo Zimmermann3
1Coordenação-Geral do Componente Especializado da Assistência Farmacêutica, Departamento de Assistência Farmacêutica, Ministério da Saúde. Esplanada dos Ministérios, Bloco G, sobreloja. 70058-900 Brasília DF Brasil. roberto.eduardo@saude.gov.br.
Ciencia & saude coletiva
|January 30, 2026
概括
一个新的数据库,BEM-SUS,整合了巴西国家卫生系统 (SUS) 的数据,以分析药物使用在制药援助 (CEAF) 的专业组件. 这种统一的方法改善了药物利用研究 (DUS).
科学领域:
- 医疗信息学 医疗信息学
- 制药科学 制药科学
- 公共卫生 公共卫生
背景情况:
- 在国家卫生系统 (SUS) 内的巴西药物援助专业组件 (CEAF) 中分析药物使用是复杂的,因为数据碎片化.
- 现有的数据源,如SUS门诊信息系统 (PA和APAC-M),包含数百万条记录,但需要集成进行全面分析.
研究的目的:
- 开发一个统一的关系数据库,BEM-SUS,用于分析CEAF药物发行数据从2013-2022.
- 将不同的SUS数据源,特别是门诊生产 (PA) 和亚太药物 (APAC-M) 数据整合到一个统一的数据集中.
- 通过解决数据质量和链接挑战,促进准确的药物利用研究 (DUS).
主要方法:
- 通过整合来自SUS门诊信息系统的5991个公共数据文件,构建BEM-SUS数据库.
- 使用确定性链接在PA (239,125,819条记录) 和APAC-M (180,692,466条记录) 数据集之间匹配记录.
- 实现了99.96%的记录链接率,产生了239,027,991个记录的统一数据集,代表了6,431,208个唯一用户.
主要成果:
- BEM-SUS数据库成功地整合了大量来自PA和APAC-M来源的数据.
- 确定性链接有效匹配了几乎所有记录,创建了一个全面的数据集用于分析.
- 综合数据库包含超过2.39亿条记录,为药物使用研究提供了坚实的基础.
结论:
- 预先处理数据和有效的数据库链接对于药物使用研究的准确解释至关重要.
- BEM-SUS数据库在分析巴西国家卫生系统内的药物援助计划方面取得了重大进展.
- 这种统一的方法提高了监测和理解巴西药物使用模式的能力.
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