Spooner Kiara K, Salemi Jason L, Salihu Hamisu M, Zoorob Roger J
Department of Family and Community Medicine, Baylor College of Medicine, Houston, TX.
Department of Family and Community Medicine, Baylor College of Medicine, Houston, TX.
Mayo Clin Proc. 2017 Apr;92(4):525-535. doi: 10.1016/j.mayocp.2016.12.022. Epub 2017 Mar 11.
To describe the national frequency, prevalence, and trends of discharge against medical advice (DAMA) among inpatient hospitalizations in the United States and identify differences across patient- and hospital-level characteristics, overall and in clinically distinct diagnostic subgroups.
We conducted a retrospective, cross-sectional analysis of inpatient hospitalizations (≥18 years), discharged between January 1, 2002, and December 31, 2011, using the Nationwide Inpatient Sample. Descriptive statistics, multivariable logistic, and joinpoint regression were used for statistical analyses.
Between January 1, 2002, and December 31, 2011, more than 338,000 inpatient hospitalizations were discharged against medical advice each year, with a 1.9% average annual increase in prevalence over the decade (95% CI, 0.8%-3.0%). Temporal trends in DAMA varied by principal diagnosis. Among patients hospitalized for mental health- or substance abuse-related disorders, there was a -2.3% (95% CI, -3.8% to -0.8%) average annual decrease in the rate of DAMA. A statistically significant temporal rate change was not observed among hospitalizations for pregnancy-related disorders. Multivariable regression revealed several patient and hospital characteristics as predictors of DAMA, including lack of health insurance (odds ratio [OR], 3.78; 95% CI, 3.62-3.94), male sex (OR, 2.40; 95% CI, 2.36-2.45), and northeast region (OR, 1.91; 95% CI, 1.72-2.11). Other predictors included age, race/ethnicity, income, primary diagnosis, severity of illness, and hospital location/type and size.
Rates for DAMA have increased in the United States, and key differences exist across patient and hospital characteristics. Early identification of vulnerable patients and preventive measures such as improved patient-provider communication may reduce DAMA.
描述美国住院患者自动出院(DAMA)的全国性频率、患病率及趋势,并确定患者和医院层面特征在总体上以及不同临床诊断亚组中的差异。
我们使用全国住院样本对2002年1月1日至2011年12月31日期间出院的住院患者(≥18岁)进行了一项回顾性横断面分析。采用描述性统计、多变量逻辑回归和连接点回归进行统计分析。
在2002年1月1日至2011年12月31日期间,每年有超过33.8万例住院患者自动出院,这十年间患病率平均每年上升1.9%(95%置信区间,0.8%-3.0%)。DAMA的时间趋势因主要诊断而异。在因精神健康或药物滥用相关障碍住院的患者中,DAMA率平均每年下降2.3%(95%置信区间,-3.8%至-0.8%)。在因妊娠相关障碍住院的患者中未观察到统计学上显著的时间率变化。多变量回归显示了几个作为DAMA预测因素的患者和医院特征,包括缺乏医疗保险(优势比[OR],3.78;95%置信区间,3.62-3.94)、男性(OR,2.40;95%置信区间,2.36-2.45)和东北地区(OR,1.91;95%置信区间,1.72-2.11)。其他预测因素包括年龄、种族/民族、收入、主要诊断、疾病严重程度以及医院位置/类型和规模。
美国的DAMA率有所上升,患者和医院特征之间存在关键差异。早期识别脆弱患者以及采取诸如改善医患沟通等预防措施可能会减少DAMA。