What patient attributes are associated with thoughts of suing a physician?
What patient attributes are associated with thoughts of suing a physician?
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DOI：
10.1016/j.apmr.2007.02.007
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发表时间：
2007-05-01
影响因子：
4.3
通讯作者：
Lewis, John E.
中科院分区：
文献类型：
--
作者：
Fishbain, David A.;Bruns, Daniel;Lewis, John E.
目的：解决一个被忽视的研究领域：与“起诉医生的想法”(S-MD) 相关的康复患者的属性。设计：向 2264 人发放了“我正在考虑起诉我的一位医生”的 S-MD 声明以及健康改善电池 (BHI 2)。确定了 S-MD 的预测项目。设置：急性物理治疗、工作强化计划、慢性疼痛计划、医生办公室和职业康复计划。参与者：参与者包括 777 名康复患者和 1487 名非患者社区居民。干预措施：不适用。主要结果指标：我们使用多变量方差分析来确定 18 个 BHI 2 量表中哪些量表预测了 S-MD 陈述。然后，将量表中具有预测性的项目以及其他变量用于卡方分析，对希望起诉的人和不希望起诉的人进行比较。然后，我们对先前分析中的重要项目进行逐步回归分析，建立了一个预测潜在 S-MD 患者的模型。结果：确认 S-MD 声明的患者中比例最高 (11.5%) 的是那些涉及工伤赔偿和人身伤害诉讼的患者，而社区生活受试者中这一比例仅为 1.9%。 BHI 2 变量的逐步回归产生了一个 13 变量模型，解释了 38.04% 的方差。人口变量（例如教育、种族、好诉讼）的逻辑回归解释了 20% 的方差。结论：愤怒 (P
Objective: To address a neglected research area: the attributes of rehabilitation patients associated with "thoughts of suing a physician" (S-MD).Design: The S-MD statement "I am thinking about suing one of my doctors" was administered to 2264 people, along with the Battery for Health Improvement (BHI 2). Items predictive of S-MD were identified.Setting: Acute physical therapy, work hardening programs, chronic pain programs, physician offices, and vocational rehabilitation programs. Participants: Participants included 777 rehabilitation patients and 1487 nonpatient community-dwellers.Interventions: Not applicable.Main Outcome Measures: We used a multivariate analysis of variance to determine which of the 18 BHI 2 scales predicted the S-MD statement. Items from the scales found to be predictive, plus other variables, were then used in a chi-square analysis that compared people who wished to sue with those who did not. We then used a stepwise regression analysis with significant items from the prior analyses to build a model for predicting a potential S-MD patient.Results: The highest percentage (11.5%) of patients affirming the S-MD statement were those involved in workers' compensation and personal injury litigation, compared with only 1.9% of community-living subjects. Stepwise regression of BHI 2 variables produced a 13-variable model explaining 38.04% of the variance. A logistic regression of demographic variables (eg, education, ethnicity, litigiousness) explained 20% of the variance.Conclusions: Anger (P