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Predictors of 30-day unplanned hospital readmission among adult patients with diabetes mellitus: a systematic review with meta-analysis

机译:成人患有糖尿病患者30天未预期医院入院的预测因素:与META分析进行系统审查

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摘要

Adult patients with diabetes mellitus (DM) represent one-fifth of all 30-day unplanned hospital readmissions but some may be preventable through continuity of care with better DM self-management. We aim to synthesize evidence concerning the association between 30-day unplanned hospital readmission and patient-related factors, insurance status, treatment and comorbidities in adult patients with DM. We searched full-text English language articles in three electronic databases (MEDLINE, Embase and CINAHL) without confining to a particular publication period or geographical area. Prospective and retrospective cohort and case–control studies which identified significant risk factors of 30-day unplanned hospital readmission were included, while interventional studies were excluded. The study participants were aged ≥18 years with either type 1 or 2 DM. The random effects model was used to quantify the overall effect of each factor. Twenty-three studies published between 1998 and 2018 met the selection criteria and 18 provided information for the meta-analysis. The data were collected within a period ranging from 1 to 15 years. Although patient-related factors such as age, gender and race were identified, comorbidities such as heart failure (OR=1.81, 95% CI 1.67 to 1.96) and renal disease (OR=1.69, 95% CI 1.34 to 2.12), as well as insulin therapy (OR=1.45, 95% CI 1.24 to 1.71) and insurance status (OR=1.41, 95% CI 1.22 to 1.63) were stronger predictors of 30-day unplanned hospital readmission. The findings may be used to target DM self-management education at vulnerable groups based on comorbidities, insurance type, and insulin therapy.
机译:成年患有糖尿病(DM)的患者代表全部30天的无计划医院入伍的五分之一,但有些人可能会通过具有更好的DM自我管理的护理连续性来预防。我们的目标是综合有关DM的成人患者的30日未约会医院入院和患者相关因素,保险状态,治疗和合并症之间的关联的证据。我们在三个电子数据库(Medline,Embase和Cinahl)中搜索了全文英语语言文章,而不限制特定的出版期或地理区域。介绍和回顾性队列和案例对照研究,鉴定了30天未约会医院入院的重大风险因素,而介入研究被排除在外。该研究参与者≥18岁,型号为1或2 DM。随机效果模型用于量化每个因素的整体效果。 1998年至2018年间发布的二十三项研究符合选定标准和18项规定的META分析信息。数据在1至15年的时间内收集。虽然病人相关的因素,如年龄,性别和种族进行了鉴定,合并症如心脏衰竭(OR = 1.81,95%CI 1.67至1.96)和肾脏疾病(OR = 1.69,95%CI为1.34〜2.12),以及作为胰岛素治疗(或= 1.45,95%CI 1.24至1.71)和保险状况(或= 1.41,95%CI 1.22至1.63),预测因素是30天的未预期医院入院的预测因子。该研究结果可用于根据合并,保险型和胰岛素治疗对弱势群体的DM自我管理教育。

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