Thoma Ioanna, Rogers Simon, Ireland Jillian, Porteous Rachel, Borland Katie, Vallejos Catalina A, Aslett Louis J M, Liley James
Alan Turing Institute, London, United Kingdom.
MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, United Kingdom.
PLOS Digit Health. 2024 Dec 17;3(12):e0000675. doi: 10.1371/journal.pdig.0000675. eCollection 2024 Dec.
The Scottish Patients at Risk of Re-Admission and Admission (SPARRA) score predicts individual risk of emergency hospital admission for approximately 80% of the Scottish population. It was developed using routinely collected electronic health records, and is used by primary care practitioners to inform anticipatory care, particularly for individuals with high healthcare needs. We comprehensively assess the SPARRA score across population subgroups defined by age, sex, ethnicity, socioeconomic deprivation, and geographic location. For these subgroups, we consider differences in overall performance, score distribution, and false positive and negative rates, using causal methods to identify effects mediated through age, sex, and deprivation. We show that the score is well-calibrated across subgroups, but that rates of false positives and negatives vary widely, mediated by various causes including variability in demographic characteristics, admission reasons, and potentially differential data availability. Our work assists practitioners in the application and interpretation of the SPARRA score in population subgroups.
苏格兰再入院和入院风险(SPARRA)评分可预测约80%苏格兰人口的急诊入院个体风险。它是利用常规收集的电子健康记录开发的,初级保健从业者用其为预期护理提供信息,特别是针对医疗需求高的个体。我们全面评估了按年龄、性别、种族、社会经济剥夺程度和地理位置定义的人群亚组的SPARRA评分。对于这些亚组,我们考虑总体表现、评分分布以及假阳性和假阴性率的差异,使用因果方法来识别通过年龄、性别和剥夺程度介导的影响。我们表明,该评分在各亚组中校准良好,但假阳性和假阴性率差异很大,由多种原因介导,包括人口特征、入院原因的变异性以及潜在的不同数据可用性。我们的工作有助于从业者在人群亚组中应用和解释SPARRA评分。