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理解医疗服务与研究中不当行为的严重程度:从对100个案例的历史计量学研究中汲取的经验教训。

Understanding the Severity of Wrongdoing in Health Care Delivery and Research: Lessons Learned From a Historiometric Study of 100 Cases.

作者信息

DuBois James M, Anderson Emily E, Chibnall John T

机构信息

Albert Gnaegi Center for Health Care Ethics, Saint Louis University, 3545 Lafayette Ave, Salus Building, St. Louis, MO 63104.

Loyola University of Chicago.

出版信息

AJOB Prim Res. 2013;4(3):39-48. doi: 10.1080/21507716.2013.807892. Epub 2013 Jul 22.

Abstract

BACKGROUND

Wrongdoing among physicians and researchers causes myriad problems for patients and research participants. While many articles have been published on professional wrongdoing, our literature review found no studies that examined the rich contextual details of large sets of historical cases of wrongdoing.

METHODS

We examined 100 cases of wrongdoing in healthcare delivery and research using historiometric methods, which involve the statistical description and analysis of coded historical narratives. We used maximum variation, criterion-based sampling to identify cases involving 29 kinds of wrongdoing contained in a taxonomy of wrongdoing developed for the project. We coded the presence of a variety of environmental and wrongdoer variables and rated the severity of wrongdoing found in each case. This approach enabled us to (a) produce rich descriptions of variables characterizing cases; (b) identify factors influencing the severity of wrongdoing; and (c) test the hypothesis that professional wrongdoing is a unified, relatively homogenous phenomenon such as "organizational deviance."

RESULTS

Some variables were consistently found across cases (e.g., wrongdoers were male and cases lasted more than 2 years), and some variables were consistently absent across cases (e.g., cases did not involve wrongdoers who were mistreated by institutions or penalized for doing what is right). However, we also found that some variables associated with wrongdoing in research (such as ambiguous legal and ethical norms) differ from those associated with wrongdoing in healthcare delivery (such as wrongdoers with a significant history of professional misbehavior).

CONCLUSIONS

Earlier intervention from colleagues might help prevent the pattern we observed of repeated wrongdoing across multiple years. While some variables characterize the vast majority of highly publicized cases of wrongdoing in healthcare delivery and research-regardless of the kind of wrongdoing-it is important to examine and compare sets of relatively homogenous cases in order to identify factors associated with wrongdoing.

摘要

背景

医生和研究人员的不当行为给患者和研究参与者带来了无数问题。虽然已经发表了许多关于职业不当行为的文章,但我们的文献综述发现,没有研究考察大量历史不当行为案例的丰富背景细节。

方法

我们使用历史计量方法研究了100例医疗服务和研究中的不当行为案例,该方法涉及对编码历史叙述的统计描述和分析。我们采用最大变异、基于标准的抽样方法,以识别涉及为该项目制定的不当行为分类法中包含的29种不当行为的案例。我们对各种环境和不当行为者变量的存在进行编码,并对每个案例中发现的不当行为的严重程度进行评级。这种方法使我们能够:(a)对表征案例的变量进行丰富描述;(b)识别影响不当行为严重程度的因素;(c)检验职业不当行为是一种统一、相对同质的现象(如“组织偏差”)这一假设。

结果

在各案例中一致发现了一些变量(例如,不当行为者为男性,案例持续时间超过2年),而在各案例中也一致未发现一些变量(例如,案例不涉及受到机构虐待或因做正确之事而受到惩罚的不当行为者)。然而,我们还发现,一些与研究中的不当行为相关的变量(如模糊的法律和道德规范)与医疗服务中的不当行为相关的变量(如具有重大职业不当行为历史的不当行为者)有所不同。

结论

同事们更早的干预可能有助于防止我们观察到的多年重复不当行为模式。虽然一些变量表征了医疗服务和研究中绝大多数广为人知的不当行为案例——无论不当行为的类型如何——但为了识别与不当行为相关的因素,研究和比较相对同质的案例集很重要。

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