Longo Francesco, Siciliani Luigi, Gravelle Hugh, Santos Rita
Department of Economic and Related Studies, University of York, York, UK.
Centre for Health Economics, University of York, York, UK.
Health Econ. 2017 Sep;26 Suppl 2:38-62. doi: 10.1002/hec.3569.
We investigate whether hospitals in the English National Health Service change their quality or efficiency in response to changes in quality or efficiency of neighbouring hospitals. We first provide a theoretical model that predicts that a hospital will not respond to changes in the efficiency of its rivals but may change its quality or efficiency in response to changes in the quality of rivals, though the direction of the response is ambiguous. We use data on eight quality measures (including mortality, emergency readmissions, patient reported outcome, and patient satisfaction) and six efficiency measures (including bed occupancy, cancelled operations, and costs) for public hospitals between 2010/11 and 2013/14 to estimate both spatial cross-sectional and spatial fixed- and random-effects panel data models. We find that although quality and efficiency measures are unconditionally spatially correlated, the spatial regression models suggest that a hospital's quality or efficiency does not respond to its rivals' quality or efficiency, except for a hospital's overall mortality that is positively associated with that of its rivals. The results are robust to allowing for spatially correlated covariates and errors and to instrumenting rivals' quality and efficiency.
我们研究了英国国民医疗服务体系(National Health Service)中的医院是否会因周边医院质量或效率的变化而改变自身的质量或效率。我们首先提供了一个理论模型,该模型预测医院不会对竞争对手的效率变化做出反应,但可能会因竞争对手质量的变化而改变自身的质量或效率,不过反应的方向并不明确。我们使用了2010/11年至2013/14年期间公立医院八项质量指标(包括死亡率、急诊再入院率、患者报告结果和患者满意度)和六项效率指标(包括床位占用率、取消的手术和成本)的数据,来估计空间横截面模型以及空间固定效应和随机效应面板数据模型。我们发现,尽管质量和效率指标在空间上存在无条件的相关性,但空间回归模型表明,医院的质量或效率不会对竞争对手的质量或效率做出反应,不过医院的总体死亡率与竞争对手的总体死亡率呈正相关。这些结果在考虑空间相关协变量和误差以及对竞争对手的质量和效率进行工具变量估计时是稳健的。