Understanding Factors Associated with Paid Malpractice Claims in Plastic Surgery.

BACKGROUND: Few studies have investigated malpractice broadly in the field of plastic surgery. The purpose of this analysis was to characterize plastic surgery malpractice cases and examine factors influencing malpractice case outcomes, thereby identifying areas of patient safety concern. METHODS: The Candello database, which catalogs approximately 30% of all paid and unpaid malpractice claims in the United States, was used to obtain cases involving plastic surgery closed between 2009 and 2018. A total of 2674 cases were identified. A multivariable regression model was developed to analyze factors associated with a malpractice case closing with indemnity payment. RESULTS: A total of 716 claims (26.8%) resulted in an indemnity payment. The clinical severity was determined to be high in 229 cases (8.6%). Emotional trauma [ n = 558 (20.9%)] was the most frequently cited injury category. Major differences between procedure groups were not observed, with consistent severity of injury across categories. Poor surgical technique, problems with communication among providers, inadequate informed consent, and deficient documentation were significant factors predictive of malpractice cases closing with payment. Issues with technical performance resulting in a known complication and patient factors were protective against paid claims. CONCLUSIONS: The financial and clinical severity of malpractice claims in plastic surgery were relatively low overall. Multiple factors were found to be associated with a case closing with an indemnity payment. These data highlight the importance of the informed consent process and managing expectations in the clinical care of surgical patients.

Improving anthropometric measurements in hospitalized children: A quality-improvement project.

BACKGROUND: The objective of this quality-improvement project was to increase documentation rates of anthropometrics (measured weight, length/height, and body mass index [BMI], which are critical to identify patients at malnutrition (undernutrition) risk) from <50% to 80% within 24 hours of hospital admission for pediatric patients. METHODS: Multidisciplinary champion teams on surgical, cardiac, and intensive care (ICU) pilot units were established to identify and iteratively test interventions addressing barriers to documentation from May 2016 to June 2018. Percentage of patients with documented anthropometrics <24 h of admission was assessed monthly by statistical process control methodology. Percentage of patients at malnutrition (undernutrition) risk by anthropometrics was compared by χ2 for 4 months before and after intervention. RESULTS: Anthropometric documentation rates significantly increased (P < 0.001 for all): BMI, from 11% to 89% (surgical), 33% to 57% (cardiac), and 16% to 51% (ICU); measured weight, from 24% to 88% (surgical), 69% to 83% (cardiac), and 51% to 67% (ICU); and length/height, from 12% to 89% (surgical), 38% to 57% (cardiac), and 26% to 63% (ICU). Improvement hospital-wide was observed (BMI, 42% to 70%, P < 0.001) with formal dissemination tactics. For pilot units, moderate/severe malnutrition (undernutrition) rates tripled (1.2% [24 of 2081] to 3.4% [81 of 2374], P < 0.001). CONCLUSION: Documentation of anthropometrics on admission substantially improved after establishing multidisciplinary champion teams. Goal rate (80%) was achieved within 26 months for all anthropometrics in the surgical unit and for weight in the cardiac unit. Improved documentation rates led to significant increase in identification of patients at malnutrition (undernutrition) risk.