Sasaki Noriko, Kunisawa Susumu, Ikai Hiroshi, Imanaka Yuichi
Department of Healthcare Economics and Quality Management, Kyoto University Graduate School of Medicine, Kyoto, Japan.
BMJ Open. 2017 Mar 22;7(3):e013753. doi: 10.1136/bmjopen-2016-013753.
Although current case-mix classifications in prospective payment systems were developed to estimate patient resource usage, whether these classifications reflect clinical outcomes remains unknown. The efficient management of acute heart failure (AHF) with high mortality is becoming more important in many countries as its prevalence and associated costs are rapidly increasing. Here, we investigate the determinants of in-hospital mortality and hospitalisation costs to clarify the impact of severity factors on these outcomes in patients with AHF, and examine the level of agreement between the predicted values of mortality and costs.
Cross-sectional observational study.
A total of 19 926 patients with AHF from 261 acute care hospitals in Japan were analysed using administrative claims data.
Multivariable logistic regression analysis and linear regression analysis were performed to examine the determinants of in-hospital mortality and hospitalisation costs, respectively. The independent variables were grouped into patient condition on admission, postadmission procedures indicating disease severity (eg, intra-aortic balloon pumping) and other high-cost procedures (eg, single-photon emission CT). These groups of independent variables were cumulatively added to the models, and their effects on the models' abilities to predict the respective outcomes were examined. The level of agreement between the quartiles of predicted mortality and predicted costs was analysed using Cohen's κ coefficient.
In-hospital mortality was associated with patient's condition on admission and severity-indicating procedures (C-statistics 0.870), whereas hospitalisation costs were associated with severity-indicating procedures and high-cost procedures (R 0.32). There were substantial differences in determinants between the outcomes. In addition, there was no consistent relationship observed (κ=0.016, p<0.0001) between the quartiles of in-hospital mortality and hospitalisation costs.
The determinants of mortality and costs for hospitalised patients with AHF were generally different. Our results indicate that the same case-mix classifications should not be used to predict both these outcomes.
尽管前瞻性支付系统中当前的病例组合分类是为了估计患者的资源使用情况,但这些分类是否反映临床结果仍不清楚。随着急性心力衰竭(AHF)的患病率和相关成本迅速增加,对这种高死亡率疾病的有效管理在许多国家变得越来越重要。在此,我们调查住院死亡率和住院费用的决定因素,以阐明严重程度因素对AHF患者这些结果的影响,并检验死亡率和费用预测值之间的一致性水平。
横断面观察性研究。
使用行政索赔数据对日本261家急性护理医院的19926例AHF患者进行了分析。
分别进行多变量逻辑回归分析和线性回归分析,以检验住院死亡率和住院费用的决定因素。自变量分为入院时的患者状况、表明疾病严重程度的入院后程序(如主动脉内球囊反搏)和其他高成本程序(如单光子发射计算机断层扫描)。将这些自变量组累计添加到模型中,并检验它们对模型预测各自结果能力的影响。使用科恩κ系数分析预测死亡率四分位数和预测费用之间的一致性水平。
住院死亡率与入院时患者状况和表明严重程度的程序相关(C统计量为0.870),而住院费用与表明严重程度的程序和高成本程序相关(R为0.32)。结果的决定因素存在显著差异。此外,住院死亡率四分位数和住院费用之间未观察到一致的关系(κ = 0.016,p < 0.0001)。
住院AHF患者死亡率和费用的决定因素通常不同。我们的结果表明,不应使用相同的病例组合分类来预测这两个结果。