Blondell Richard D, Amadasu Aimiamia, Servoss Timothy J, Smith Susan J
Department of Family Medicine, Family Medicine Research Institute, The State University of New York, University at Buffalo, 462 Grider St, CC-175, Buffalo, NY 14215, USA.
J Addict Dis. 2006;25(1):95-104. doi: 10.1300/J069v25n01_12.
Some individuals hospitalized for alcohol or drug detoxification leave against medical advice (AMA). We hypothesized that certain characteristics would be associated with AMA discharges. A case-control study of 1,426 hospital admissions for detoxification (representing 1,080 individuals) was conducted to compare patients leaving the hospital AMA (n=231) with a random sample of those completing detoxification (n=286). Latino ethnicity, detoxification from drugs, Friday or Saturday discharge, Medicaid or no health insurance, and not being treated by one specific attending physician were characteristics associated with an AMA discharge in a backward logistic regression model. Although 85% of the patients with all these characteristics left AMA, only one patient, without any of these five characteristics, did so. We conclude that clinicians can use certain clinical features to predict AMA discharge. Additional research could evaluate if treatment strategies that consider these ethnic and socioeconomic disparities may reduce rates of AMA discharge.
一些因酒精或药物戒断而住院的患者擅自离院(AMA)。我们假设某些特征会与擅自离院相关。我们进行了一项病例对照研究,涉及1426例戒毒住院病例(代表1080名个体),以比较擅自离院的患者(n = 231)与完成戒毒的随机样本患者(n = 286)。在向后逻辑回归模型中,拉丁裔种族、药物戒毒、周五或周六出院、医疗补助或无医疗保险,以及未由一名特定主治医生治疗,这些特征与擅自离院相关。尽管具有所有这些特征的患者中有85%擅自离院,但只有一名没有这五个特征中的任何一个的患者也擅自离院了。我们得出结论,临床医生可以利用某些临床特征来预测擅自离院情况。进一步的研究可以评估考虑这些种族和社会经济差异的治疗策略是否可能降低擅自离院率。