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医院大门之外:阐明社会支持、抑郁症状和身体功能与30天再入院之间的交互关联

Beyond the Hospital Gates: Elucidating the Interactive Association of Social Support, Depressive Symptoms, and Physical Function with 30-Day Readmissions.

作者信息

Odonkor Charles A, Hurst Pia V, Kondo Naoki, Makary Martin A, Pronovost Peter J

机构信息

From the The Johns Hopkins University School of Medicine, Baltimore, Maryland (CAO, MAM, PJP); North-Shore Long-Island Jewish Health System, Manhasset, New York (PVH); The University of Tokyo School of Public Health, Tokyo, Japan (NK); and Yale University School of Medicine, New Haven, Connecticut (CAO).

出版信息

Am J Phys Med Rehabil. 2015 Jul;94(7):555-67. doi: 10.1097/PHM.0000000000000213.

Abstract

OBJECTIVE

The aims of this study were to design patient-oriented risk models that elucidate the interactions among depressive symptoms, physical function, and sociodemographic markers and delineate the association of these indicators with 30-day readmissions.

DESIGN

This prospective longitudinal study examined readmissions within 30 days of an index operation among adults (>18 yrs) undergoing outpatient surgery. The primary exposures were measures of physical function, depression, and sociodemographic factors. Multivariable logistic regression and hierarchical generalized linear mixed models with fixed and random effects tested interactions and association of these factors with 30-day readmissions.

RESULTS

Adjusting for covariates and interaction terms, depressive symptoms (adjusted odds ratio, 2.50; 95% confidence interval, 1.45-4.29) and low physical function (adjusted odds ratio, 1.68; 95% confidence interval, 1.15-2.13) increased the odds of 30-day readmissions. Stratified by socioeconomic status (SES), those in the lowest SES group with depressive symptoms had a 73% increase in probability of readmissions (adjusted odds ratio, 2.67; 95% confidence interval, 1.10-4.07). Stratified by depressive symptom severity, being married or having a life partner lowered the readmission odds (adjusted odds ratio, 0.52; 95% confidence interval, 0.31-0.88). Final models had good discrimination and fitness (area under the curve, 0.710; corrected Akaike Information Criterion, 541.1).

CONCLUSIONS

Within 30 days of index surgery, depressive symptom severity moderated the association of sociodemographic, social support and physical function indicators with 30-day readmissions.

摘要

目的

本研究旨在设计以患者为导向的风险模型,以阐明抑郁症状、身体功能和社会人口统计学指标之间的相互作用,并描述这些指标与30天再入院率之间的关联。

设计

这项前瞻性纵向研究调查了接受门诊手术的成年人(>18岁)在首次手术后30天内的再入院情况。主要暴露因素为身体功能、抑郁和社会人口统计学因素的测量指标。多变量逻辑回归以及具有固定和随机效应的分层广义线性混合模型检验了这些因素与30天再入院率之间的相互作用和关联。

结果

在对协变量和交互项进行调整后,抑郁症状(调整后的优势比为2.50;95%置信区间为1.45 - 4.29)和身体功能低下(调整后的优势比为1.68;95%置信区间为1.15 - 2.13)增加了30天再入院的几率。按社会经济地位(SES)分层,SES最低组中有抑郁症状的患者再入院概率增加了73%(调整后的优势比为2.67;95%置信区间为1.10 - 4.07)。按抑郁症状严重程度分层,已婚或有生活伴侣可降低再入院几率(调整后的优势比为0.52;95%置信区间为0.31 - 0.88)。最终模型具有良好的辨别力和拟合度(曲线下面积为0.710;校正后的赤池信息准则为541.1)。

结论

在首次手术后30天内,抑郁症状严重程度调节了社会人口统计学、社会支持和身体功能指标与30天再入院率之间的关联。

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