Aylin Paul, Best Nicky, Bottle Alex, Marshall Clare
Department of Epidemiology and Public Health, Imperial College London, St Mary's Campus, Norfolk Place, W2 1PF, London, UK.
Lancet. 2003 Aug 9;362(9382):485-91. doi: 10.1016/S0140-6736(03)14077-9.
As part of the investigations into the crimes of Harold Shipman, it has become clear that there is little monitoring of deaths in general practice. By use of data on annual deaths at family physician and practice level for five English health authorities for 1993-99, we investigate whether cumulative sum charts (a type of statistical process control chart) could be used to create a workable monitoring system. On such charts, thresholds for deaths can be set, which, if crossed, may indicate a potential problem. We chose thresholds based on empirical calculations of the probabilities of false and successful detection after allowing for multiple testing over physicians or practices. We also statistically adjusted the charts for extra-Poisson variation due to unmeasured case mix. Of 1009 family physicians, 33 (including Shipman) crossed the alarm threshold designed to detect a 2 SD increase in standardised mortality, with 97% successful detection and a 5% false-alarm rate. Poor data quality, plus factors such as the proportion of patients treated by these physicians in nursing homes or hospices are likely explanations for most of these additional alarms. If used appropriately, such charts represent a useful tool for monitoring deaths in primary care. However, improvement in data quality is essential.
作为对哈罗德·希普曼罪行调查的一部分,很明显,全科医疗中的死亡情况几乎没有受到监测。利用1993 - 1999年五个英国卫生当局家庭医生和诊所层面的年度死亡数据,我们研究累积和控制图(一种统计过程控制图)是否可用于创建一个可行的监测系统。在这类图表上,可以设定死亡阈值,如果超过该阈值,可能表明存在潜在问题。我们根据对医生或诊所多次检验后错误检测和成功检测概率的经验计算来选择阈值。我们还对图表进行了统计调整,以应对因未测量的病例组合导致的超泊松变异。在1009名家庭医生中,有33名(包括希普曼)超过了旨在检测标准化死亡率增加2个标准差的警报阈值,成功检测率为97%,误报率为5%。数据质量差,加上这些医生在养老院或临终关怀机构治疗的患者比例等因素,可能是这些额外警报的主要原因。如果使用得当,这类图表是监测初级医疗中死亡情况的有用工具。然而,数据质量的改善至关重要。