Nathan Jasperse1, Areg Grigorian2, Patrick Delaplain2, Zeljka Jutric2, Sebastian D Schubl2, Catherine M Kuza3, Jeffry Nahmias2. 1. University of California, Irvine, Department of Surgery, Division of Trauma, Burns and Surgical Critical Care, Orange, CA, USA. Electronic address: njaspers@uci.edu. 2. University of California, Irvine, Department of Surgery, Division of Trauma, Burns and Surgical Critical Care, Orange, CA, USA. 3. University of Southern California, Department of Anesthesiology, Los Angeles, CA, USA.
Abstract
BACKGROUND: Patients who leave against medical advice (AMA) have higher readmission rates and mortality. However, little is known about the characteristics of trauma patients that leave AMA. The purpose of this study was to identify predictors for leaving AMA in adult trauma patients. METHODS: The Trauma Quality Improvement Program database was queried between 2010 and 2016 for patients ≥18 years of age presenting after trauma. Two groups were compared: those who left AMA and those that did not. Bivariate analysis using Chi-squared and Mann-Whitney U tests was performed. A multivariable logistic regression analysis was performed to identify predictors for leaving AMA. RESULTS: Of 1,403,466 trauma patients identified, 10,659 (0.76%) left AMA. Patients that left AMA were younger (median age, 48 vs. 53 years-old, p < 0.001), more often male (82.1% vs. 62.8%, p < 0.001), more likely to be black (23.6% vs. 14.9%, p < 0.001), and more likely to be uninsured (27.0% vs. 12.3%, p < 0.001). Patients leaving AMA were more likely to test positive for alcohol (36.1% vs. 17.4%, p < 0.001) or drug use (36.0% vs. 17.2%, p < 0.001) at time of admission. On multivariable logistic regression, the strongest predictors for leaving AMA were: no insurance (OR 2.00, CI 1.88-2.14, p < 0.001), alcohol use (OR 1.85, CI 1.74-1.96, p < 0.001) or drug use (OR 1.83, CI 1.72-1.94, p < 0.001), male gender (OR 1.83, CI 1.71-1.97, p < 0.001), and stab mechanism of injury (OR 1.58, CI 1.43-1.73, p < 0.001). CONCLUSION: In adult trauma patients, male gender, stab mechanism of injury, being uninsured, and alcohol/drug use were strong predictors of leaving AMA. The risk factors identified may help in developing strategies aimed at preventing trauma patients from leaving AMA.
BACKGROUND:Patients who leave against medical advice (AMA) have higher readmission rates and mortality. However, little is known about the characteristics of traumapatients that leave AMA. The purpose of this study was to identify predictors for leaving AMA in adult traumapatients. METHODS: The Trauma Quality Improvement Program database was queried between 2010 and 2016 for patients ≥18 years of age presenting after trauma. Two groups were compared: those who left AMA and those that did not. Bivariate analysis using Chi-squared and Mann-Whitney U tests was performed. A multivariable logistic regression analysis was performed to identify predictors for leaving AMA. RESULTS: Of 1,403,466 traumapatients identified, 10,659 (0.76%) left AMA. Patients that left AMA were younger (median age, 48 vs. 53 years-old, p < 0.001), more often male (82.1% vs. 62.8%, p < 0.001), more likely to be black (23.6% vs. 14.9%, p < 0.001), and more likely to be uninsured (27.0% vs. 12.3%, p < 0.001). Patients leaving AMA were more likely to test positive for alcohol (36.1% vs. 17.4%, p < 0.001) or drug use (36.0% vs. 17.2%, p < 0.001) at time of admission. On multivariable logistic regression, the strongest predictors for leaving AMA were: no insurance (OR 2.00, CI 1.88-2.14, p < 0.001), alcohol use (OR 1.85, CI 1.74-1.96, p < 0.001) or drug use (OR 1.83, CI 1.72-1.94, p < 0.001), male gender (OR 1.83, CI 1.71-1.97, p < 0.001), and stab mechanism of injury (OR 1.58, CI 1.43-1.73, p < 0.001). CONCLUSION: In adult traumapatients, male gender, stab mechanism of injury, being uninsured, and alcohol/drug use were strong predictors of leaving AMA. The risk factors identified may help in developing strategies aimed at preventing traumapatients from leaving AMA.