27 research outputs found
Age-Related Disparities in Trauma Center Access for Severe Head Injuries Following the Release of the Updated Field Triage Guidelines
Objective: In 2006, the American College of Surgeonsâ Committee on Trauma and the Center for Disease Control released field triage guidelines with special consideration for older adults. Additional considerations for direct transport to a Level I or II trauma center (TC) were added in 2011, reflecting perceived undertriage to TCs for older adults. We examined whether age-based disparities in TC care for severe head injury decreased following introduction of the 2011 revisions.
Methods: A pre-post design analyzing the 2009 and 2012 Healthcare Cost and Utilization Project State Emergency Department Databases (SEDD) and State Inpatient Databases (SID) with multivariable logistic regressions considered changes in (1) the trauma designation of the emergency department where treatment was initiated and (2) transfer to a TC following initial treatment at a non-TC.
Results: Compared with adults aged 18â44 years, after multivariable adjustment, in both years TC care was less likely for adults aged 45â64 years (OR: 0.76 in 2009 and 0.74 in 2012), aged 65â84 years (OR: 0.61 and 0.59), and aged 85+ years (OR: 0.53 and 0.56). Between 2009 and 2012, the likelihood of TC care increased for all age groups, with the largest increase among those aged 85+ years (OR = 1.18), which was statistically different (p = .02) from the increase among adults aged 18â44 years (OR = 1.12). The analysis of transfers yielded similar results.
Conclusions: Although patterns of increased TC treatment for all groups with severe head trauma indicate improvements, age-based disparities persisted
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Impact of Race/Ethnicity and Socioeconomic Status on Risk-Adjusted Readmission Rates: Implications for the Hospital Readmissions Reduction Program
Under the Hospital Readmissions Reduction Program (HRRP) of the Centers for Medicare & Medicaid Services (CMS), hospitals with excess readmissions for select conditions and procedures are penalized. However, readmission rates are not risk adjusted for socioeconomic status (SES) or race/ethnicity. We examined how adding SES and race/ethnicity to the CMS risk-adjustment algorithm would affect hospitalsâ excess readmission ratios and potential penalties under the HRRP. For each HRRP measure, we compared excess readmission ratios with and without SES and race/ethnicity included in the CMS standard risk-adjustment algorithm and estimated the resulting effects on overall penalties across a number of hospital characteristics. For the 5 HRRP measures (heart failure, acute myocardial infarction, chronic obstructive pulmonary disease, pneumonia, and total hip or knee arthroplasty), we used data from the Healthcare Cost and Utilization Projectâs State Inpatient Databases for 2011-2012 to calculate the excess readmission ratio with and without SES and race/ethnicity included in the model. With these ratios, we estimated the impact on HRRP penalties and found that risk adjusting for SES and race/ethnicity would affect Medicare payments for 83.8% of hospitals. The effect on the size of HRRP penalties ranged from â14.4% to 25.6%, but the impact on overall Medicare base payments was smallâranging from â0.09% to 0.06%. Including SES and race/ethnicity in the calculation had a disproportionately favorable effect on safety-net and rural hospitals. Any financial effects on hospitals and on the Medicare program of adding SES and race/ethnicity to the HRRP risk-adjustment calculation likely would be small
Trait emotional intelligence and attentional bias for positive emotion: An eye tracking study
Emotional intelligence (EI) may promote wellbeing through facilitation of adaptive attentional processing patterns. In the current study, a total of 54 adults (43 females, mean ageâŻ=âŻ25âŻyears, SDâŻ=âŻ10âŻyears) completed a Trait Emotional Intelligence (TEI) scale and took part in three eye-tracking tasks, where they viewed (1) faces with different emotions (happy, angry, fearful, neutral), (2) 16-face crowds with varying ratios of happy to angry faces, and (3) 4 visual scenes (physical threat, social threat, positive social, neutral). Findings showed that higher TEI was associated with more attention to positive emotional stimuli (happy faces, positive social scenes), relative to negative and neutral stimuli. An attentional preference for positive rather than negative emotional stimuli may be one way that TEI affords protection from stressors to promote mental health
Analysis of shared common genetic risk between amyotrophic lateral sclerosis and epilepsy
Because hyper-excitability has been shown to be a shared pathophysiological mechanism, we used the latest and largest genome-wide studies in amyotrophic lateral sclerosis (n = 36,052) and epilepsy (n = 38,349) to determine genetic overlap between these conditions. First, we showed no significant genetic correlation, also when binned on minor allele frequency. Second, we confirmed the absence of polygenic overlap using genomic risk score analysis. Finally, we did not identify pleiotropic variants in meta-analyses of the 2 diseases. Our findings indicate that amyotrophic lateral sclerosis and epilepsy do not share common genetic risk, showing that hyper-excitability in both disorders has distinct origins
Age-Related Disparities in Trauma Center Access for Severe Head Injuries Following the Release of the Updated Field Triage Guidelines
Objective: In 2006, the American College of Surgeonsâ Committee on Trauma and the Center for Disease Control released field triage guidelines with special consideration for older adults. Additional considerations for direct transport to a Level I or II trauma center (TC) were added in 2011, reflecting perceived undertriage to TCs for older adults. We examined whether age-based disparities in TC care for severe head injury decreased following introduction of the 2011 revisions.
Methods: A pre-post design analyzing the 2009 and 2012 Healthcare Cost and Utilization Project State Emergency Department Databases (SEDD) and State Inpatient Databases (SID) with multivariable logistic regressions considered changes in (1) the trauma designation of the emergency department where treatment was initiated and (2) transfer to a TC following initial treatment at a non-TC.
Results: Compared with adults aged 18â44 years, after multivariable adjustment, in both years TC care was less likely for adults aged 45â64 years (OR: 0.76 in 2009 and 0.74 in 2012), aged 65â84 years (OR: 0.61 and 0.59), and aged 85+ years (OR: 0.53 and 0.56). Between 2009 and 2012, the likelihood of TC care increased for all age groups, with the largest increase among those aged 85+ years (OR = 1.18), which was statistically different (p = .02) from the increase among adults aged 18â44 years (OR = 1.12). The analysis of transfers yielded similar results.
Conclusions: Although patterns of increased TC treatment for all groups with severe head trauma indicate improvements, age-based disparities persisted
Patients in public general hospitals : who pays, how sick?.
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