Perceived Socioeconomic Status: A Strong Predictor of Long-Term Outcomes After Injury.

BACKGROUND: Socioeconomic status (SES) is defined as a total measure of an individual's economic or social position in relation to others. Income and educational level are often used as quantifiable objective measures of SES but are inherently limited. Perceived SES (p-SES), refers to an individual's perception of their own SES. Herein, we assess the correlation between objective SES (o-SES) as defined by income and educational level and p-SES after injury and compare their associations with long-term outcomes after injury. METHODS: Moderate-to-severely injured patients admitted to a Level 1 trauma center were asked to complete a phone-based survey assessing functional and mental health outcomes, social dysfunction, chronic pain, and return to work/school 6-12 mo postinjury. o-SES was determined by income and educational level (low educational level: high school or lower; low income: live in zip code with median income/household lower than the national median). p-SES was determined by asking patients to categorize their SES. The correlation coefficient between o-SES and p-SES was calculated. Multivariate logistic regression models were built to determine the associations between o-SES and p-SES and long-term outcomes. RESULTS: A total of 729 patients were included in this study. Patients who reported a low p-SES were younger, more likely to suffer penetrating injuries, and to have a weak social support network. Twenty-one percent of patients with high income and high educational level classified their p-SES as low or mid-low, and conversely, 46% of patients with low education and low income classified their p-SES as high or mid-high. The correlation coefficient between p-SES and o-SES was 0.2513. After adjusting for confounders, p-SES was a stronger predictor of long-term outcomes, including functional limitations, social dysfunction, mental health outcomes, return to work/school, and chronic pain than was o-SES. CONCLUSIONS: Patient-reported p-SES correlates poorly with o-SES indicating that the commonly used calculation of income and education may not accurately capture an individuals' SES. Furthermore, we found p-SES to be more strongly correlated with long-term outcome measures than o-SES. As we strive to improve long-term outcomes after injury, p-SES may be an important variable in the early identification of individuals who are likely to suffer from worse long-term outcomes after injury.

Mental Health Burden After Injury: It's About More than Just Posttraumatic Stress Disorder.

OBJECTIVE: Assess the prevalence of anxiety, depression, and posttraumatic stress disorder (PTSD) after injury and their association with long-term functional outcomes. BACKGROUND: Mental health disorders (MHD) after injury have been associated with worse long-term outcomes. However, prior studies almost exclusively focused on PTSD. METHODS: Trauma patients with an injury severity score ≥9 treated at 3 Level-I trauma centers were contacted 6-12 months post-injury to screen for anxiety (generalized anxiety disorder-7), depression (patient health questionnaire-8), PTSD (8Q-PCL-5), pain, and functional outcomes (trauma quality of life instrument, and short-form health survey)). Associations between mental and physical outcomes were established using adjusted multivariable logistic regression models. RESULTS: Of the 531 patients followed, 108 (20%) screened positive for any MHD: of those who screened positive for PTSD (7.9%, N = 42), all had co-morbid depression and/or anxiety. In contrast, 66 patients (12.4%) screened negative for PTSD but positive for depression and/or anxiety. Compared to patients with no MHD, patients who screened positive for PTSD were more likely to have chronic pain {odds ratio (OR): 8.79 [95% confidence interval (CI): 3.21, 24.08]}, functional limitations [OR: 7.99 (95% CI: 3.50, 18.25)] and reduced physical health [ß: -9.3 (95% CI: -13.2, -5.3)]. Similarly, patients who screened positive for depression/anxiety (without PTSD) were more likely to have chronic pain [OR: 5.06 (95% CI: 2.49, 10.46)], functional limitations [OR: 2.20 (95% CI: 1.12, 4.32)] and reduced physical health [ß: -5.1 (95% CI: -8.2, -2.0)] compared to those with no MHD. CONCLUSIONS: The mental health burden after injury is significant and not limited to PTSD. Distinguishing among MHD and identifying symptom-clusters that overlap among these diagnoses, may help stratify risk of poor outcomes, and provide opportunities for more focused screening and treatment interventions.

Association of Medicaid Expansion Policy with Outcomes in Homeless Patients Requiring Emergency General Surgery.

BACKGROUND: Medicaid expansion has reduced obstacles faced in receiving care. Emergency general surgery (EGS) is a clinical event where delays in appropriate care impact outcomes. Therefore, we assessed the association between non-Medicaid expansion policy and multiple outcomes in homeless patients requiring EGS. METHODS: We used 2014 State Inpatient Database to identify homeless individuals admitted with a primary EGS diagnosis who underwent an EGS procedure. States were divided into those that did and did not implement Medicaid expansion. Multivariable quantile regression was used to examine associations between non-Medicaid expansion states and (1) length of stay and (2) total index hospital charges within the homeless population. Multivariable logistic regression was used to assess the associations between non-Medicaid expansion and (1) mortality, (2) surgical complications, (3) discharge against medical advice, and (4) home healthcare. RESULTS: A total of 6930 homeless patients were identified. Of these, 435 (6.2%) were in non-expansion states. Non-Medicaid expansion was associated with higher charges (coef: $46,264, 95% CI 40,388-52,139). There were non-significant differences in mortality (OR 1.4, 95% CI 0.79-2.62; p = 0.2) or surgical complications (OR 1.16, 95% CI 0.7-1.8; p = 0.4). However, homeless individuals living in non-expansion states did have higher odds of being discharged against medical advice (OR 2.1, 95% CI 1.08-4.05; p = 0.02), and lower odds of receiving home healthcare (OR 0.6, 95% CI 0.4-0.8; p = 0.01). CONCLUSION: Homeless patients living in Medicaid expansion states had lower odds of being discharged against medical advice, higher likelihood of receiving home healthcare and overall lower total index hospital charges.