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糖尿病住院患者再入院的风险因素:系统评价。

Risk factors for readmission of inpatients with diabetes: A systematic review.

机构信息

Institute of Digital Healthcare, WMG, University of Warwick, Coventry CV4 7AL, United Kingdom; Warwickshire Institute for the Study of Diabetes, Endocrinology & Metabolism, University Hospitals Coventry & Warwickshire NHS Trust, Clifford Bridge Road, Coventry CV2 2DX, United Kingdom.

Institute of Digital Healthcare, WMG, University of Warwick, Coventry CV4 7AL, United Kingdom.

出版信息

J Diabetes Complications. 2019 May;33(5):398-405. doi: 10.1016/j.jdiacomp.2019.01.004. Epub 2019 Jan 30.

Abstract

AIM

We have limited understanding of which risk factors contribute to increased readmission rates amongst people discharged from hospital with diabetes. We aim to complete the first review of its kind, to identify, in a systematic way, known risk factors for hospital readmission amongst people with diabetes, in order to better understand this costly complication.

METHOD

The review was prospectively registered in the PROSPERO database. Risk factors were identified through systematic review of literature in PubMed, EMBASE & SCOPUS databases, performed independently by two authors prior to data extraction, with quality assessment and semi-quantitative synthesis according to PRISMA guidelines.

RESULTS

Eighty-three studies were selected for inclusion, predominantly from the United States, and utilising retrospective analysis of local or regional data sets. 76 distinct statistically significant risk factors were identified across 48 studies. The most commonly identified risk factors were; co-morbidity burden, age, race and insurance type. Few studies conducted power calculations; unstandardized effect sizes were calculated for the majority of statistically significant risk factors.

CONCLUSION

This review is important in assessing the current state of the literature and in supporting development of interventions to reduce readmission risk. Furthermore, it provides an important foundation for development of rigorous, pre-specified risk prediction models.

摘要

目的

我们对导致糖尿病出院患者住院率升高的风险因素知之甚少。我们旨在完成此类研究中的首次综述,以系统地确定糖尿病患者住院再入院的已知风险因素,从而更好地了解这一代价高昂的并发症。

方法

该综述在 PROSPERO 数据库中进行了前瞻性注册。通过对 PubMed、EMBASE 和 SCOPUS 数据库中的文献进行系统回顾,由两名作者独立进行,在进行数据提取之前,根据 PRISMA 指南进行质量评估和半定量综合分析。

结果

选择了 83 项研究纳入,主要来自美国,并利用当地或区域数据集的回顾性分析。在 48 项研究中确定了 76 个具有统计学意义的不同风险因素。最常见的风险因素包括合并症负担、年龄、种族和保险类型。很少有研究进行功效计算;大多数具有统计学意义的风险因素都计算了未标准化的效应大小。

结论

这项综述对于评估当前文献状况和支持开发降低再入院风险的干预措施非常重要。此外,它为开发严格的、预先指定的风险预测模型提供了重要基础。

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