Schilling Marla Presa Raulino, Portela Margareth Crisóstomo, Martins Mônica
Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.
Cad Saude Publica. 2024 Feb 26;40(2):e00080723. doi: 10.1590/0102-311XPT080723. eCollection 2024.
Comparative analyses based on clinical performance indicators to monitor the quality of hospital care have been carried out for decades in several countries, most notably the hospital standardized mortality ratio (HSMR). In Brazil, studies and the adoption of methodological tools that allow regular analysis of the performance of institutions are still scarce. This study aimed to assess the use of HSMR to compare the performance of hospitals funded by the Brazilian Unified National Health System (SUS). The Hospital Information System was the source of data on adult hospitalizations in Brazil from 2017 to 2019. The methodological approach to estimate HSMR was adapted to the available data and included the causes of hospitalization (main diagnosis) responsible for 80% of deaths. The number of expected deaths was estimated using a logistic regression model that included predictor variables widely described in the literature. The analysis was conducted in two stages: (i) hospitalization level and (ii) hospital level. The final risk adjustment model showed a C-statistic of 0.774, which is considered adequate. The variation in HSMR was wide, especially among the worst-performing hospitals (1.54 to 6.77). Private hospitals performed better than public hospitals. Although the limits of the available data and the challenges still face its more refined use, HSMR is applicable and has the potential to become an important tool for assessing hospital performance in the SUS.
几十年来,一些国家一直在开展基于临床绩效指标的比较分析,以监测医院护理质量,其中最著名的是医院标准化死亡率(HSMR)。在巴西,仍缺乏能够定期分析机构绩效的研究及方法工具的应用。本研究旨在评估使用HSMR来比较由巴西统一国家卫生系统(SUS)资助的医院的绩效。医院信息系统是2017年至2019年巴西成人住院数据的来源。估计HSMR的方法根据可用数据进行了调整,包括导致80%死亡的住院原因(主要诊断)。预期死亡人数使用包含文献中广泛描述的预测变量的逻辑回归模型进行估计。分析分两个阶段进行:(i)住院水平和(ii)医院水平。最终的风险调整模型显示C统计量为0.774,这被认为是足够的。HSMR的差异很大,尤其是在表现最差的医院之间(1.54至6.77)。私立医院的表现优于公立医院。尽管现有数据存在局限性,且在更精细地使用它方面仍面临挑战,但HSMR是适用的,并且有可能成为评估SUS中医院绩效的重要工具。