Differential behaviour of a risk score for emergency hospital admission by demographics in Scotland-A retrospective study.

PLOS digital health Pub Date : 2024-12-17 eCollection Date: 2024-12-01 DOI:10.1371/journal.pdig.0000675
Ioanna Thoma, Simon Rogers, Jillian Ireland, Rachel Porteous, Katie Borland, Catalina A Vallejos, Louis J M Aslett, James Liley
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Abstract

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.

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苏格兰人口统计学对急诊住院风险评分的差异行为——回顾性研究
苏格兰患者再次入院和入院风险(SPARRA)评分预测了大约80%的苏格兰人口急诊入院的个人风险。它是利用常规收集的电子健康记录开发的,初级保健从业人员使用它为预期保健提供信息,特别是为有高保健需求的个人提供信息。我们综合评估了按年龄、性别、种族、社会经济剥夺和地理位置定义的人群亚组的SPARRA评分。对于这些亚组,我们考虑了总体表现、得分分布、假阳性和阴性率的差异,并使用因果方法来确定由年龄、性别和剥夺介导的影响。我们的研究表明,亚组间的评分得到了很好的校准,但假阳性和阴性的比率差异很大,这是由各种原因造成的,包括人口统计学特征的变化、入院原因和潜在的数据可用性差异。我们的工作有助于从业者在人口亚组中应用和解释SPARRA评分。
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