ABSTRACT
We analysed hand and wrist injury and disorder related liability claims in the Netherlands to identify causes and to contribute to the prevention of such claims. Data was collected from 743 hand and wrist claims filed between 1993 and 2007. Consultants were involved in 417 claims (56.1%). Treatment in the emergency department (ED) accounted for 64.9% of these 287 claims involved residents (59.5%). The majority of accepted claims in the ED included treatment by general surgeons (89.2%). The percentage of accepted claims was highest in the general surgery group (26.4%). Of accepted claims in the ED which involved a resident, 93.2% involved a general surgery resident. Better training and supervision is indicated. This paper supports hand injury treatment by adequately trained surgeons and preferably, where possible, by a trained hand surgeon.
Subject(s)
Hand Injuries/diagnosis , Hand Injuries/therapy , Liability, Legal , Malpractice/statistics & numerical data , Wrist Injuries/diagnosis , Wrist Injuries/therapy , Adult , Compensation and Redress , Diagnostic Errors , Emergency Service, Hospital , Female , General Surgery , Humans , Internship and Residency , Male , Netherlands , Peripheral Nerve Injuries , Tendon Injuries/diagnosis , Tendon Injuries/therapyABSTRACT
Our objective was to determine the interobserver variability of breast density assessment according to the Breast Imaging Reporting and Data System (BI-RADS) and to examine potential associations between breast density and risk factors for breast cancer. Four experienced breast radiologists received instructions regarding the use of BI-RADS and they assessed 57 mammograms into BI-RADS density categories of 1-4. The weighted kappa values for breast density between pairs of observers were 0.84 (A, B) (almost perfect agreement); 0.75 (A, C), 0.74 (A, D), 0.71 (B, C), 0.77 (B, D), 0.65 (C, D) (substantial agreement). The weighted overall kappa, measured by the intraclass correlation coefficient (ICC), was 0.77 (95% CI: 0.69-0.85). Body mass index was inversely associated with high breast density. In conclusion, overall interobserver agreement in mammographic interpretation of breast density is substantial and therefore, the BI-RADS classification for breast density is useful for standardization in a multicentre study.