Ibrahim Said A, Kwoh C Kent, Krishnan Eswar
Center for Health Equity Research and Promotion, Veterans Administration Pittsburgh Healthcare System, Pittsburgh, Pa 15240, USA.
Am J Public Health. 2007 Dec;97(12):2204-8. doi: 10.2105/AJPH.2006.100164. Epub 2007 Oct 30.
We examined hospital- and patient-related factors associated with discharge against medical advice (termed self-discharge) after emergency admission to acute-care hospitals.
We analyzed data from the Nationwide Inpatient Sample of the Healthcare Cost and Utilization Project using logistic regression models to assess the relationship between self-discharge and a set of patient and hospital characteristics.
Of 3,039,050 discharges in the sample, 43 678 were against medical advice (1.44%). In multivariable modeling, predictors of self-discharge included having Medicaid insurance (adjusted odds ratio [AOR]=3.32; 95% confidence interval [CI]=3.22, 3.42), having Medicare insurance (AOR=1.64; 95% CI=1.59, 1.70), urban location (AOR=1.66; 95% CI=1.61, 1.72), medium (AOR=1.25; 95% CI=1.20, 1.29) or large (AOR=1.08, 95% CI=1.05, 1.12) hospital (defined by the number of beds), shorter hospital stay (OR=0.84; 95% CI=0.84, 0.85), and African American race (AOR=1.10; 95% CI=1.07, 1.14). Teaching hospitals had fewer self-discharges (AOR=0.90; 95% CI=0.88, 0.92). Other predictors of discharge against medical advice included age, gender, and income.
Approximately 1 in 70 hospital discharges in the United States are against medical advice. Both hospital and patient characteristics were associated with these decisions.
我们研究了急性护理医院急诊入院后与违反医嘱出院(称为自动出院)相关的医院和患者因素。
我们使用逻辑回归模型分析了医疗成本和利用项目全国住院患者样本的数据,以评估自动出院与一组患者和医院特征之间的关系。
样本中的3039050例出院病例中,有43678例违反医嘱出院(1.44%)。在多变量建模中,自动出院的预测因素包括拥有医疗补助保险(调整优势比[AOR]=3.32;95%置信区间[CI]=3.22, 3.42)、拥有医疗保险(AOR=1.64;95% CI=1.59, 1.70)、城市地区(AOR=1.66;95% CI=1.61, 1.72)、中型(AOR=1.25;95% CI=1.20, 1.29)或大型(AOR=1.08, 95% CI=1.05, 1.12)医院(根据床位数定义)、住院时间较短(OR=0.84;95% CI=0.84, 0.85)以及非裔美国人种族(AOR=1.10;95% CI=1.07, 1.14)。教学医院的自动出院病例较少(AOR=0.90;95% CI=0.88, 0.92)。其他违反医嘱出院的预测因素包括年龄、性别和收入。
在美国,约每70例医院出院病例中有1例违反医嘱出院。医院和患者特征均与这些决定有关。