30天再次入院的预测因素:出院药物数量与医院评分和LACE指数的直接比较

Robert Robinson, Mukul Bhattarai, Tamer Hudali, Carrie Vogler
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引用次数: 0

摘要

摘要存在有效的医院再入院风险预测工具,但没有确定可以修改以降低再入院风险的可操作项目。多药治疗作为一种潜在的可改变的再入院风险因素引起了人们的关注,在一项回顾性研究中显示出了希望。多药治疗是一个非常复杂的问题,反映了合并症和医疗资源利用模式。这项调查将多药治疗的预测能力与经验证的医院评分和LACE指数再入院风险评估工具进行了比较,这些工具适用于美国中西部一所中等规模大学附属医院在2年内接受学术住院服务的所有成年人。这些结果表明,单凭出院药物的数量并不是识别出院后30天内再次入院高危患者的有用工具。需要进一步的研究来探索多药治疗作为再次入院风险预测因素的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictors of 30-day hospital readmission: The direct comparison of number of discharge medications to the HOSPITAL score and LACE index.

Effective hospital readmission risk prediction tools exist, but do not identify actionable items that could be modified to reduce the risk of readmission. Polypharmacy has attracted attention as a potentially modifiable risk factor for readmission, showing promise in a retrospective study. Polypharmacy is a very complex issue, reflecting comorbidities and healthcare resource utilisation patterns. This investigation compares the predictive ability of polypharmacy alone to the validated HOSPITAL score and LACE index readmission risk assessment tools for all adult admissions to an academic hospitalist service at a moderate sized university-affiliated hospital in the American Midwest over a 2-year period. These results indicate that the number of discharge medications alone is not a useful tool in identifying patients at high risk of hospital readmission within 30 days of discharge. Further research is needed to explore the impact of polypharmacy as a risk predictor for hospital readmission.

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