Pieter D Daniël, Kool R B Tijn, Westert G P Gert
Kiwa Prismant, Utrecht, the Netherlands.
Ned Tijdschr Geneeskd. 2010;154:A2186.
To analyse the variation in the registration of hospital admissions across Dutch hospitals and determine how this variation affects the Hospital Standardised Mortality Rate (HSMR).
Retrospective, descriptive.
We used data from the National Medical Registration (LMR), covering the records of all hospital admissions in 2005 in Dutch hospitals, to analyse the variation between hospitals in 3 variables: the number of secondary diagnoses, the percentage of unplanned admissions, and the percentage of non-specified diagnoses ('other diagnoses'). The impact of this variation on the HSMR was analysed by calculating the correlation between the HSMR and each of the variables. The correlation between the original HSMR and the HSMR without adjustment for these variables was also calculated.
The variation in the percentages of unplanned admissions and admissions with a non-specified diagnosis was low. The variation in these two variables had a small or no effect on the HSMR. There was a considerable variation in the mean number of secondary diagnoses per hospital. This variation had a limited but statistically significant effect on the HSMR. The HSMR calculated without adjustments for secondary diagnoses correlated strongly with the original HSMR.
This analysis does not support the view that the HSMR is strongly affected by variation in the registration of hospital admissions and is therefore not reliable. Therefore, there is no need for restraint with regard to publication of the Dutch HSMR.
分析荷兰各医院住院登记情况的差异,并确定这种差异如何影响医院标准化死亡率(HSMR)。
回顾性、描述性研究。
我们使用了国家医疗登记(LMR)的数据,该数据涵盖了2005年荷兰医院所有住院记录,以分析医院之间在三个变量上的差异:二级诊断数量、非计划住院百分比以及未明确诊断(“其他诊断”)的百分比。通过计算HSMR与每个变量之间的相关性,分析这种差异对HSMR的影响。还计算了原始HSMR与未对这些变量进行调整的HSMR之间的相关性。
非计划住院百分比和未明确诊断的住院百分比差异较小。这两个变量的差异对HSMR的影响较小或无影响。各医院二级诊断的平均数量存在相当大的差异。这种差异对HSMR有有限但具有统计学意义的影响。未对二级诊断进行调整计算出的HSMR与原始HSMR高度相关。
该分析不支持HSMR受住院登记差异强烈影响因而不可靠这一观点。因此,在公布荷兰HSMR方面无需有所顾虑。