Esser Melanie, Lack Nicholas, Riedel Christina, Mansmann Ulrich, von Kries Ruediger
1 Bavarian Institute for Quality Assurance of Medical Care in Hospitals, Munich, Germany
1 Bavarian Institute for Quality Assurance of Medical Care in Hospitals, Munich, Germany.
Eur J Public Health. 2014 Oct;24(5):739-44. doi: 10.1093/eurpub/ckt176. Epub 2013 Nov 28.
Current attempts at centralization of neonatal care in Germany focus on a minimum volume of 30 very-low-birth-weight (VLBW, weighing <1250 g) neonate admissions per year. However, the evidence for a selective referral strategy based on hospital volume is unclear.
A total of 5575 neonates weighing <1250 g treated in 31 hospitals in Bavaria between 2000 and 2011 were analysed using population-based data. The relevance of different hospital characteristics (i.e. hospital volume, bed capacity and teaching status) for explaining individual in-hospital mortality as well as interhospital variation in mortality rates was analysed using multilevel logistic regression analysis.
In a risk-adjusted model, only dichotomized hospital volume (<30 admissions) was significantly associated with higher mortality in VLBW neonates (odds ratio: 1.74; 95% confidence interval: 1.02-2.99). However, the higher mortality risk only applied to neonates with higher Clinical Risk Index for Babies (CRIB) scores. There was considerable heterogeneity in mortality rates between Bavarian hospitals. The median odds ratio for mortality between two neonates treated in a randomly chosen low-performing versus high-performing hospital was 1.62 in the null model (without explanatory variables). Hospital volume only explained 15.1% of interhospital variation in mortality rates after adjustment for case-mix. Other hospital characteristics were of minor relevance. A funnel plot of the standardized mortality ratio against the number of admissions showed that 41% of small-volume hospitals performed better than expected.
A selective referral strategy based solely on hospital volume will fall short of the task of optimal allocation of neonatal care by means of centralization.
德国目前在新生儿护理集中化方面的尝试,重点是每年至少接收30例极低出生体重(VLBW,体重<1250克)新生儿入院。然而,基于医院规模的选择性转诊策略的证据尚不清楚。
利用基于人群的数据,对2000年至2011年间在巴伐利亚州31家医院接受治疗的5575例体重<1250克的新生儿进行了分析。使用多水平逻辑回归分析,分析了不同医院特征(即医院规模、床位容量和教学状况)对解释个体住院死亡率以及医院间死亡率差异的相关性。
在风险调整模型中,只有二分法的医院规模(<30例入院)与极低出生体重新生儿的较高死亡率显著相关(优势比:1.74;95%置信区间:1.02-2.99)。然而,较高的死亡风险仅适用于婴儿临床风险指数(CRIB)评分较高的新生儿。巴伐利亚州各医院之间的死亡率存在相当大的异质性。在零模型(无解释变量)中,随机选择的低绩效医院与高绩效医院治疗的两名新生儿之间的死亡率中位数优势比为1.62。在对病例组合进行调整后,医院规模仅解释了医院间死亡率差异的15.1%。其他医院特征的相关性较小。标准化死亡率比与入院人数的漏斗图显示,41%的小容量医院表现优于预期。
仅基于医院规模的选择性转诊策略,无法通过集中化实现新生儿护理的最佳分配任务。