Biberthaler P, Seifert J, Post M, Smektala R, Ottmann K, Braun A, Siebert H, Stengel D
Klinik und Poliklinik für Unfallchirurgie, Klinikum rechts der Isar, Technische Universität München, Ismaningerstraße 23, 81675 München.
Unfallchirurg. 2011 Sep;114(9):768-75. doi: 10.1007/s00113-011-2028-4.
In Germany, orthopedic and trauma surgery rank first in the number of alleged malpractice claims amongst all medical disciplines. Thus, the German Association of Trauma and Orthopedic Surgery, together with the Bavarian Chamber of Physicians, set out to identify potential predictors of approved malpractice claims to improve process quality. In a case-control study, 164 cases of approved malpractice claims were matched according to age and gender to 336 controls of rejected claims, based on the 2004 to 2006 dataset of the Bavarian Chamber of Physicians. Potential predictors of acceptance of an alleged incident were modeled by uni- and multivariate logistic regression analysis. The final model explained 71% of the probability of acceptance of an asserted claim. It contained three medical consequences (i.e. delayed healing, reoperation, and loss of motion), one specific entity (i.e. fracture) and one socio-demographic variable (i.e. professional driver) as independent predictors of acceptance. Insufficient or lacking explanation of the planned procedure to patients or relatives and / or lacking informed consent (odds ratio [OR] 2.33, 95% confidence interval [CI]1.23-4.43), as well as inappropriate, low-quality, or erroneously interpreted imaging (OR 1.90, 95% CI 1.06-3.41) independently contributed to the likelihood of acceptance of a legal claim. Strict adherence to the principles of surgical quality assurance in terms of transparent patient information and joint informed consent procedures, as well as intransigent radiological imaging are mandatory to foster surgeon-patients-relationships and to avoid later legal claims.
在德国,骨科和创伤外科在所有医学学科中,医疗事故索赔指控数量位居榜首。因此,德国创伤与骨外科协会与巴伐利亚医师协会着手确定已批准医疗事故索赔的潜在预测因素,以提高医疗流程质量。在一项病例对照研究中,根据巴伐利亚医师协会2004年至2006年的数据集,将164例已批准医疗事故索赔病例按照年龄和性别与336例被驳回索赔的对照进行匹配。通过单因素和多因素逻辑回归分析对所指控事件被接受的潜在预测因素进行建模。最终模型解释了所主张索赔被接受概率的71%。它包含三个医疗后果(即愈合延迟、再次手术和活动受限)、一个特定实体(即骨折)和一个社会人口统计学变量(即职业司机)作为被接受的独立预测因素。对患者或亲属缺乏或未充分解释计划的手术过程和/或缺乏知情同意(优势比[OR]2.33,95%置信区间[CI]1.23 - 4.43),以及不恰当、低质量或错误解读的影像学检查(OR 1.90,95% CI 1.06 - 3.41)独立地增加了法律索赔被接受的可能性。在透明的患者信息和联合知情同意程序方面,以及严格的放射影像学检查方面,严格遵守手术质量保证原则对于促进医患关系和避免后续法律索赔是必不可少的。