Department of Health Administration and Planning, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, INOVA Fiocruz Post-doctoral Program, Rio de Janeiro, RJ, Brazil.
Department of Health Administration and Planning, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil.
BMC Health Serv Res. 2024 Sep 27;24(1):1125. doi: 10.1186/s12913-024-11496-w.
To evaluate the variation in COVID-19 inpatient care mortality among hospitals reimbursed by the Unified Health System (SUS) in the first two years of the pandemic in São Paulo state and make performance comparisons within periods and over time.
Observational study based on secondary data from the Hospital Information System. The study universe consisted of 289,005 adult hospitalizations whose primary diagnosis was COVID-19 in five periods from 2020 to 2022. A multilevel regression model was applied, and the death predictive variables were sex, age, Charlson Index, obesity, type of admission, Brazilian Deprivation Index (BrazDep), the month of admission, and hospital size. Then, the total observed deaths and total deaths predicted by the model's fixed effect component were aggregated by each hospital, estimating the Standardized Mortality Ratio (SMR) in each period. Funnel plots with limits of two standard deviations were employed to classify hospitals by performance (higher-than-expected, as expected, and lower-than-expected) and determine whether there was a change in category over the periods.
A positive association was observed between hospital mortality and size (number of beds). There was greater variation in the percentage of hospitals with as-expected performance (39.5 to 76.1%) and those with lower-than-expected performance (6.6 to 32.3%). The hospitals with higher-than-expected performance remained at around 30% of the total, except in the fifth period. In the first period, 64 hospitals (18.3%) had lower-than-expected performance, with standardized mortality ratios ranging from 1.2 to 4.4, while in the last period, only 23 (6.6%) hospitals were similarly classified, with ratios ranging from 1.3 to 2.8. A trend of homogenization and adjustment to expected performance was observed over time.
Despite the study's limitations, the results suggest an improvement in the COVID-19 inpatient care performance of hospitals reimbursed by the SUS in São Paulo over the period studied, measured by the standardized mortality ratio for hospitalizations due to COVID-19. Moreover, the methodological approach adapted to the Brazilian context provides an applicable tool to follow-up hospital's performance in caring all or specific-cause hospitalizations, in regular or exceptional emergency situations.
评估在新冠疫情大流行的头两年中,由统一卫生系统(SUS)报销的医院中 COVID-19 住院患者死亡率的变化,并在各时期和随时间进行绩效比较。
这是一项基于二级数据的观察性研究,来自医院信息系统。研究范围包括 2020 年至 2022 年五个时期内 289005 名因 COVID-19 住院的成年患者。应用多水平回归模型,死亡预测变量包括性别、年龄、Charlson 指数、肥胖、入院类型、巴西剥夺指数(BrazDep)、入院月份和医院规模。然后,通过模型的固定效应成分对每个医院的总观察死亡人数和总预测死亡人数进行汇总,在每个时期估算标准化死亡率(SMR)。使用包含两个标准差的漏斗图对医院进行分类,根据表现(高于预期、符合预期和低于预期)确定表现较好的医院,并确定在各时期内是否发生类别变化。
医院死亡率与规模(床位数)呈正相关。表现符合预期的医院比例(39.5%至 76.1%)和表现低于预期的医院比例(6.6%至 32.3%)变化较大。高于预期表现的医院比例一直保持在总数的 30%左右,除了第五时期。在第一时期,有 64 家(18.3%)医院表现低于预期,标准化死亡率比为 1.2 至 4.4,而在最后一时期,只有 23 家(6.6%)医院类似地被归类,死亡率比为 1.3 至 2.8。随着时间的推移,观察到同质化和调整到预期表现的趋势。
尽管存在研究局限性,但研究结果表明,在研究期间,由 SUS 报销的圣保罗 COVID-19 住院患者的治疗效果有所提高,通过 COVID-19 住院患者的标准化死亡率来衡量。此外,适应巴西国情的方法为随访医院对所有或特定病因住院患者的治疗效果提供了一种可行的工具,无论是在常规还是特殊紧急情况下。