Recidivism after orthopaedic trauma has diminished over time.

PURPOSE: The purpose was to analyze our trauma population during two periods to assess for predictors of recidivism. METHODS: Prior (2007-2011, n = 879) and recent (2014-2019, n = 954) orthopaedic trauma patients were reviewed. Recidivists were those returning with an unrelated injury. Recidivism rates were compared, and factors associated with recidivism were identified. RESULTS: Recidivism decreased: 18.7% to 14.3% (p = 0.01). Mean age and sex of the two cohorts were not different. Recent recidivists were more likely to sustain gunshot wound (GSW) injuries (22.1% vs 18.9%, p = 0.09), and mental illness was more common (56.6% vs 28.1%, p < 0.0001). The recent recidivist population was less often married (12.9% vs 23.8%, p = 0.03), and both recidivist groups were often underinsured (Medicaid or uninsured: (60.6% vs 67.0%)). CONCLUSION: Recidivism diminished, although more GSW and mental illness were seen. Recidivists are likely to be underinsured. The changing profile of recidivists may be attributed to socioeconomic trends and new programs to improve outcomes after trauma.

Trauma recidivism is pervasive and is associated with mental and social health opportunities.

INTRODUCTION: Recidivism after orthopedic trauma results in greater morbidity and costs. Prior studies explored the effects of social and medical factors affecting the frequency of return to the hospital with new, unrelated injury. Identification of mental, social and other risk factors for trauma recidivism may provide opportunities for mitigation. The purposes of this study are to determine the rates of subsequent, unrelated injury noted among orthopedic trauma patients at a large urban trauma center and to evaluate what patient and injury features are associated with greater rates of trauma recidivism. We hypothesize higher rates of new injuries will be related to ballistic trauma and other forms of assault, alcohol and recreational drug use, unemployment, and unmarried status among our trauma patients. METHODS: A series of 954 skeletally mature patients at a level 1 trauma center over a 5 year period were included in the study. All were treated operatively for thoracolumbar, pelvic ring, acetabulum, and/or proximal or shaft femoral fractures from a high energy mechanism. Retrospective review of demographic, injury, medical, and social factors, and subsequent care was performed. Trauma recidivism was defined as returning to the emergency department for treatment of any new injury. A backward stepwise logistic regression statistical analysis was used to identify independent predictors of recidivism. RESULTS: Mean age of all patients was 41.2 years, and 73.2% were male. 136 patients (14.3%) returned with a new injury within a mean of 21 months. These trauma recidivists were more likely to sustain a GSW (22.1% vs 11.4%, p = 0.001). They had higher rates of substance use, including tobacco (57.4% vs 41.8%, p = 0.001) and recreational drugs (50.7% vs 34.4%, p = 0.001), and were less likely to be married (10% vs 25.9%, p<0.001). Mental illness was pervasive, noted in 56.6% of patients with new injury (vs 32.8%, p<0.001). Medicaid insurance was most common in the trauma recidivist population (58.1% vs 35.0%, p = 0.001), and 12.5% were uninsured. Completing high school or more education was protective (93% non-recidivist (vs 79%, p = 0.001). Sixty-nine patients (50.7%) were repeat trauma recidivists within the study period. Independent predictors of new injury included recreational drug use (OR 1.64, p = 0.05) and history of assault due to GSW or other means (OR 1.67, p = 0.05). History of pre-existing mental illness represented the greatest risk factor for trauma recidivism (OR 2.55, p<0.001). DISCUSSION: New injuries resulting in emergency department presentation after prior orthopedic trauma occurred in 14.3% and were associated with history of assault, lower education, Medicaid insurance, tobacco smoking and recreational drug use. Mental illness was the greatest risk factor. Over half of patients with these additional injuries were repeat trauma recidivists, returning for another new injury within less than 2 years. Awareness of risk factors may promote focused education and other interventions to mitigate this burden. LEVEL OF EVIDENCE: Level 3 retrospective, prognostic.

Fit for Health? Levels of Physical Activity Among Preclinical and Clinical Medical Students.

Physical, mental, and emotional wellness are just some avenues to maintain a person's overall well-being. These components of wellness influence each other; mental wellness is known to be affected by physical wellness. Physical wellness in the form of regular exercise stands as a method to mitigate the high rates of depression and burnout among medical students. This study examines the levels of physical activity among preclinical and clinical medical students. This is an observational, non-randomized study with data collection over one month. Fifty-nine percent of students surveyed met the CDC recommendation for exercise. The major reason to exercise was to improve mental health, with 37% of respondents citing this as a motivator. For those who did not meet the physical activity recommendation, lack of time was cited in 75% of respondents. Greater knowledge of prevention methods, risk factors, and outcomes of chronic health conditions may contribute to higher physical activity levels among medical students compared to the general population. Emphasizing exercise and physical wellness campaigns may be a solution for medical schools to improve the overall wellness of their students.

Factors influencing participation in psychosocial programming among orthopaedic trauma patients with PTSD.

INTRODUCTION: Post Traumatic Stress Disorder (PTSD) commonly occurs following acute trauma. Post-injury outcomes are negatively impacted by PTSD. Trauma Recovery Services (TRS) programming was developed at our institution in 2013 to provide psychosocial programming that increases patient satisfaction with care and ability to return to work and decreases PTSD symptoms. We sought to identify factors that influence patients' decision to participate in programming. METHODS: Over a 3-year period at a single, urban level 1 trauma center, 172 patients over the age of 18 screened positive for PTSD on the validated PTSD checklist for DSM-5 (PCL-5) screening tool. Demographic, socioeconomic, injury, and medical comorbidity information was collected. Variables were initially compared in a univariate manner via Chi-squared, Fisher exact, t-test, or Mann-Whitney U, as appropriate. Variables that had a p-value <0.2 on univariate analysis were entered into a backward stepwise logistic regression model to identify independent predictors of participation in TRS programming. RESULTS: Mean age was 37.8 years. 70.1% of patients were male. The most common mechanisms of injury were gunshot wound (33.7%), motor vehicle crash (19.0%), and burn. 33.5% of patients participated in TRS programming. Nine predictors had p<.2 on univariate analysis and were entered into the stepwise regression model. Four predictors remained in the final model. Patients with private insurance (RR=2.2, p=.038), high school diploma or greater (RR=1.53, p=.002; Table 1), and PCL-5 score greater than 50 were more likely to participate in TRS programming (RR=1.42, p=.046). Patients who live 20 or more minutes away by car from TRS were less likely to participate in programming (RR=0.47, p=.065). DISCUSSION: Patients with more severe PTSD, higher levels of education, and private insurance were more likely to participate in TRS programming. Participation in TRS and similar psychosocial programs may be improved by minimizing the participant's potential commute to the program location.