Research Unit for Chronic Conditions, Department of Clinical Epidemiology, Bispebjerg and Frederiksberg University Hospital, Copenhagen, Denmark.
Unit for Social Epidemiology, Faculty of Medicine, Lund University, Malmö, Sweden.
PLoS One. 2017 Dec 6;12(12):e0189050. doi: 10.1371/journal.pone.0189050. eCollection 2017.
To evaluate the general contextual effect (GCE) of the hospital department on one-year mortality in Swedish and Danish patients with heart failure (HF) by applying a multilevel analysis of individual heterogeneity.
Using the Swedish patient register, we obtained data on 36,943 patients who were 45-80 years old and admitted for HF to the hospital between 2007 and 2009. From the Danish Heart Failure Database (DHFD), we obtained data on 12,001 patients with incident HF who were 18 years or older and treated at hospitals between June 2010 and June2013. For each year, we applied two-step single and multilevel logistic regression models. We evaluated the general effects of the department by quantifying the intra-class correlation coefficient (ICC) and the increment in the area under the receiver operating characteristic curve (AUC) obtained by adding the random effects of the department in a multilevel logistic regression analysis.
One-year mortality for Danish incident HF patients was low in the three audit years (around 11.1% -13.1%) and departments performed homogeneously (ICC ≈1.5% - 3.5%). The discriminatory accuracy of a model including age and gender was rather high (AUC≈ 0.71-0.73) but the increment in AUC after adding the department random effects into these models was only about 0.011-0.022 units in the three years. One-year mortality in Swedish patients with first hospitalization for heart failure, was relatively higher for 2007-2009 (≈21.3% - 22%) and departments performed homogeneously (ICC ≈ 1.5% - 3%). The discriminatory accuracy of a model including age, gender and patient risk score was rather high (AUC≈ 0.726-0.728) but the increment in AUC after adding the department random effects was only about 0.010-0.017 units in the three years.
Using the DHFD standard benchmark for one-year mortality, Danish departments had a good, homogeneous performance. In reference to literature, Swedish departments had a homogeneous performance and the mortality rates for patients with first hospitalization for heart failure were similar to those reported since 2000. Considering this, if health authorities decide to further reduce mortality rates, a comprehensive quality strategy should focus on all Swedish hospitals. Yet, a complementary assessment for the period after the study period is required to confirm whether department performance is still homogeneous or not to determine the most appropriate action.
通过应用个体异质性的多层次分析,评估瑞典和丹麦心力衰竭(HF)患者住院期间科室对一年死亡率的总体环境效应(GCE)。
利用瑞典患者登记处,我们获得了 2007 年至 2009 年间年龄在 45-80 岁之间因 HF 住院的 36943 名患者的数据。从丹麦心力衰竭数据库(DHFD)中,我们获得了 2010 年 6 月至 2013 年 6 月期间在医院接受治疗的年龄在 18 岁及以上的 12001 名新发 HF 患者的数据。对于每一年,我们应用两步单和多层次逻辑回归模型。我们通过量化部门的组内相关系数(ICC)和在多层次逻辑回归分析中添加部门随机效应后获得的接收者操作特征曲线(AUC)下面积的增量,来评估科室的总体效果。
丹麦新发 HF 患者的一年死亡率在三个审计年度均较低(约为 11.1%-13.1%),科室表现较为一致(ICC≈1.5%-3.5%)。包含年龄和性别因素的模型具有较高的区分准确性(AUC≈0.71-0.73),但在三年中,在这些模型中添加科室随机效应后的 AUC 增量仅约为 0.011-0.022 个单位。瑞典首次因心力衰竭住院的患者的一年死亡率在 2007-2009 年期间相对较高(约为 21.3%-22%),科室表现较为一致(ICC≈1.5%-3%)。包含年龄、性别和患者风险评分的模型具有较高的区分准确性(AUC≈0.726-0.728),但在三年中,在这些模型中添加科室随机效应后的 AUC 增量仅约为 0.010-0.017 个单位。
使用 DHFD 标准的一年死亡率基准,丹麦科室表现良好且较为一致。与文献相比,瑞典科室表现一致,且首次因心力衰竭住院的患者死亡率与 2000 年以来报道的死亡率相似。考虑到这一点,如果卫生当局决定进一步降低死亡率,全面的质量策略应侧重于所有瑞典医院。然而,需要对研究期后进行补充评估,以确认科室的表现是否仍然一致,以确定最合适的行动。