title: [Identification of risk factors for subsequent legal claims in orthopedic and trauma surgery].
abstract: 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.
authors: Klinik und Poliklinik für Unfallchirurgie, Klinikum rechts der Isar, Technische Universität München, Ismaningerstraße 23, 81675 München. Peter.Biberthaler@MRI.TUM.de
authors: P
authors: P
authors: Biberthaler
authors: J
authors: J
authors: Seifert
authors: M
authors: M
authors: Post
authors: R
authors: R
authors: Smektala
authors: K
authors: K
authors: Ottmann
authors: A
authors: A
authors: Braun
authors: H
authors: H
authors: Siebert
authors: D
authors: D
authors: Stengel
mesh_terms: D000328:Adult; D000368:Aged; D016022:Case-Control Studies; D003430:Cross-Sectional Studies; D005104:Expert Testimony / Q000331:legislation & jurisprudence; D005260:Female; D005858:Germany; D006801:Humans; D008297:Male; D008318:Malpractice / Q000331:legislation & jurisprudence* / Q000706:statistics & numerical data; D019300:Medical Errors / Q000331:legislation & jurisprudence* / Q000517:prevention & control; D008875:Middle Aged; D015999:Multivariate Analysis; D009985:Orthopedics / Q000331:legislation & jurisprudence* / Q000706:statistics & numerical data; D011183:Postoperative Complications / Q000453:epidemiology / Q000209:etiology; D011336:Probability; D018570:Risk Assessment / Q000706:statistics & numerical data; D012308:Risk Management / Q000331:legislation & jurisprudence* / Q000706:statistics & numerical data; D014194:Traumatology / Q000331:legislation & jurisprudence* / Q000706:statistics & numerical data