Centro de Ciências da Saúde, Universidade Federal do Recôncavo da Bahia. Av. Carlos Amaral, R. do Cajueiro, 1015. 44574-490 Santo Antônio de Jesus BA Brasil.
Programa de Pós-Graduação em Saúde Coletiva, Universidade Estadual de Feira de Santana (UEFS). Novo Horizonte BA Brasil.
Cien Saude Colet. 2024 Mar;29(3):e05092023. doi: 10.1590/1413-81232024293.05092023. Epub 2023 Dec 6.
This ecological study of time trends and multiple groups evaluated incompleteness in the race/colour field of Brazilian health information system records and the related time trend, 2009-2018, for the diseases and disorders most prevalent in the black population. The Romero and Cunha (2006) classification was applied in order to examine incompleteness using secondary data from Brazil's National Notifiable Diseases System, Hospital Information System and Mortality Information System, by administrative regions of Brazil, while percentage underreporting and time trend were calculated using simple linear regression models with Prais-Winsten correction (p-value<0.05). All records scored poorly except those for mortality from external causes (excellent), tuberculosis (good) and infant mortality (fair). An overall downward trend was observed in percentage incompleteness. Analysis by region found highest mean incompleteness in the North (30.5%), Northeast (33.3%) and Midwest (33.0%) regions. The Southeast and Northeast regions showed the strongest downward trends. The findings intended to increase visibility on the implications of the race/color field for health equity.
这项关于时间趋势和多个群体的生态学研究评估了巴西卫生信息系统记录中种族/肤色字段的不完整性及其相关的时间趋势,时间范围为 2009 年至 2018 年,研究对象为黑人群体中最常见的疾病和障碍。该研究采用了罗梅罗和库尼亚(2006 年)的分类方法,通过巴西国家传染病系统、医院信息系统和死亡率信息系统的二级数据,按巴西的行政区域,对不完整性进行了检查,同时使用简单线性回归模型和普赖斯-温斯坦校正(p 值<0.05)计算了报告不足的百分比和时间趋势。除了外部原因导致的死亡率(优秀)、结核病(良好)和婴儿死亡率(公平)外,所有记录的评分都很差。报告不足的百分比呈总体下降趋势。区域分析发现,北部(30.5%)、东北部(33.3%)和中西部(33.0%)地区的平均不完整性最高。东南部和东北部地区的下降趋势最强。这些发现旨在提高人们对种族/肤色字段对健康公平性影响的认识。