Financial Hardship After Traumatic Injury: Risk Factors and Drivers of Out-of-Pocket Health Expenses.

BACKGROUND: Trauma-related disorders rank among the top five most costly medical conditions to the health care system. However, the impact of out-of-pocket (OOP) health expenses for traumatic conditions is not known. In this cross-sectional study, we use nationally representative data to investigate whether patients with a traumatic injury experienced financial hardship from OOP health expenses. METHODS: Using data from the Medical Expenditure Panel Survey from 2010 to 2015, we analyzed the financial burden associated with a traumatic injury. Primary outcomes were excess financial burden (OOP>20% of annual income) and catastrophic medical expenses (OOP>40% of annual income). A multivariable logistic regression analysis evaluated whether these outcomes were associated with traumatic injury, adjusting for demographic, socioeconomic, and health care factors. We then completed a descriptive analysis to elucidate drivers of total OOP expenses. RESULTS: Of the 90,964 families in the cohort, 6434 families had a traumatic injury requiring a visit to the emergency room and 668 families had a traumatic injury requiring hospitalization. Overall 1 in 8 households with an injured family member requiring hospitalization experienced financial hardship. These families were more likely to experience excess financial burden (OR: 2.04, 95% CI: 1.13-3.64) and catastrophic medical expenses (OR: 3.08, 95% CI: 1.37-6.9). The largest burden of OOP expenses was due to prescription drug costs, with inpatient costs as a major driver of OOP expenses for those requiring hospitalization. CONCLUSIONS: Households with an injured family member requiring hospitalization are significantly more vulnerable to financial hardship from OOP health expenses than the noninjured population. Prescription drug and inpatient costs were the most significant drivers of OOP health expenses.

Association of Subjective and Objective Sleep Duration as well as Sleep Quality with Non-Invasive Markers of Sub-Clinical Cardiovascular Disease (CVD): A Systematic Review.

AIM: Abnormal daily sleep duration and quality have been linked to hypertension, diabetes, stroke, and overall cardiovascular disease (CVD) morbidity& mortality. However, the relationship between daily sleep duration and quality with subclinical measures of CVD remains less well studied. This systematic review evaluated how daily sleep duration and quality affect burden of subclinical CVD in subjects free of symptomatic CVD. METHODS: Literature search was done via MEDLINE, EMBASE, Web of Science until June 2016 and 32 studies met the inclusion criteria. Sleep duration and quality were measured either via subjective methods, as self-reported questionnaires or Pittsburg Sleep Quality Index (PSQI) or via objective methods, as actigraphy or polysomnography or by both. Among subclinical CVD measures, coronary artery calcium (CAC) was measured by electron beam computed tomography, Carotid intima-media thickness (CIMT) measured by high-resolution B-mode ultrasound on carotid arteries, endothelial/microvascular function measured by flow mediated dilation (FMD) or peripheral arterial tone (PAT) or iontophoresis or nailfold capillaroscopy, and arterial stiffness measured by pulse wave velocity (PWV) or ankle brachial index (ABI). RESULTS: Subjective short sleep duration was associated with CAC and CIMT, but variably associated with endothelial dysfunction (ED) and arterial stiffness; however, subjective long sleep duration was associated with CAC, CIMT and arterial stiffness, but variably associated with ED. Objective short sleep duration was positively associated with CIMT and variably with CAC but not associated with ED. Objective long sleep duration was variably associated with CAC and CIMT but not associated with ED. Poor subjective sleep quality was significantly associated with ED and arterial stiffness but variably associated with CAC and CIMT. Poor objective sleep quality was significantly associated with CIMT, and ED but variably associated with CAC. CONCLUSIONS: Overall, our review provided mixed results, which is generally in line with published literature, with most of the studies showing a significant relationship with subclinical CVD, but only some studies failed to demonstrate such an association. Although such mechanistic relationship needs further evaluation in order to determine appropriate screening strategies in vulnerable populations, this review strongly suggested the existence of a relationship between abnormal sleep duration and quality with increased subclinical CVD burden.