巴西孕期和先天性梅毒信息的完整性指标
Guilherme Lopes de Oliveira1,2, Andrêa Jf Ferreira1,3, José Guilherme Santana1,3
1Fundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para Saúde, Salvador, BA, Brasil.
Revista de saude publica
|August 9, 2023
概括
巴西孕期梅毒 (GS) 和先天性梅毒 (CS) 的数据完整性正在改善,特别是在与护理相关的变量中. 权重平均方法有效地监测这些梅毒记录.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 传染性疾病 传染性疾病
背景情况:
- 孕期梅毒 (GS) 和先天性梅毒 (CS) 构成了重大的公共卫生挑战.
- 准确的数据收集对于有效的疾病监测和梅毒控制至关重要.
- 巴西的可通报疾病信息系统 (SINAN) 是梅毒数据的关键来源.
研究的目的:
- 评估巴西SINAN数据库中关于妊娠梅毒 (GS) 和先天梅毒 (CS) 的信息的完整性.
- 从2007年到2018年,编制和验证GS和CS的完整性指标.
- 评估加权平均方法对数据完整性监测的适用性.
主要方法:
- 编制完整性评分 (总体,护理,社会经济) 使用专家为选定的变量分配的权重.
- 分析了按地区,居住区,孕妇的种族/肤色和通知年份的得分.
- 使用Pearson的加权平均和主要组件分析 (PCA) 之间的相关性来验证得分.
主要成果:
- 大多数变量显示完整性好/很好,除了临床分类,教育,伴侣治疗和孩子的种族/颜色 (贫穷/非常贫穷).
- 总体和社会经济完整性是规律的 (约. 89%),而护理的完整性是好的 (约. 90%) 和随着时间的推移而改善.
- 在区域,居住区和种族-种族群体之间观察到完整度得分的显著差异.
结论:
- GS和CS通知的完整性正在改善,护理变量显示出比社会经济变量更好的表现.
- 权重平均法是一种可行且易于操作的工具,用于例行监测梅毒数据的完整性.
- 解决地区和人口差异对于提高梅毒监测数据的质量至关重要.
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