Since the publication of the last US national burden of skin disease report in 2006, there have been substantial changes in the practice of dermatology and the US health care system. These include the development of new treatment modalities, marked increases in the cost of medications, increasingly complex payer rules and regulations, and an aging of the US population. Recognizing the need for up-to-date data to inform researchers, policy makers, public stakeholders, and health care providers about the impact of skin disease on patients and US society, the American Academy of Dermatology produced a new national burden of skin disease report. Using 2013 claims data from private and governmental insurance providers, this report analyzed the prevalence, cost, and mortality attributable to 24 skin disease categories in the US population. In this first of 3 articles, the presented data demonstrate that nearly 85 million Americans were seen by a physician for at least 1 skin disease in 2013. This led to an estimated direct health care cost of $75 billion and an indirect lost opportunity cost of $11 billion. Further, mortality was noted in half of the 24 skin disease categories.

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Background: Racial/ethnic disparities in health care are well documented, but less is known about whether disparities occur within or between hospitals for specific inpatient processes of care. We assessed racial/ethnic disparities using the Hospital Quality Alliance Inpatient Quality of Care Indicators. Methods: We performed an observational study using patient-level data for acute myocardial infarction (5 care measures), congestive heart failure (2 measures), community-acquired pneumonia (2 measures), and patient counseling (4 measures). Data were obtained from 123 hospitals reporting to the University HealthSystem Consortium from the third quarter of 2002 to the first quarter of 2005. A total of 320 970 patients 18 years or older were eligible for at least 1 of the 13 measures. Results: There were consistent unadjusted differences between minority and nonminority patients in the quality of care across 8 of 13 quality measures (from 4.63 and 4.55 percentage points for angiotensin-converting enzyme inhibitors for acute myocardial infarction and con-gestive heart failure [PϽ.01] to 14.58 percentage points for smoking cessation counseling for pneumonia [P=.02]). Disparities were most pronounced for counseling measures. In multivariate models adjusted for individual patient characteristics and hospital effect, the magnitude of the disparities decreased substantially, yet remained significant for 3 of the 4 counseling measures; acute myocardial infarction (unadjusted, 9.00 [PϽ.001]; adjusted, 3.82 [PϽ.01]), congestive heart failure (unadjusted, 8.45 [P = .02]; adjusted, 3.54 [P = .02]), and community-acquired pneumonia (unadjusted, 14.58 [P =.02]; adjusted, 4.96 [P =.01]). Conclusions: Disparities in clinical process of care measures are largely the result of differences in where minority and nonminority patients seek care. However, disparities in services requiring counseling exist within hospitals after controlling for site of care. Policies to reduce disparities should consider the underlying reasons for the disparities.

In the treatment of lumbar spinal stenosis, epidural injection of glucocorticoids plus lidocaine offered minimal or no short-term benefit as compared with epidural injection of lidocaine alone. (Funded by the Agency for Healthcare Research and Quality; ClinicalTrials.gov number, NCT01238536.).

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OBJECTIVE -The purpose of this study was to longitudinally examine the effect of diabetes on labor market outcomes.RESEARCH DESIGN AND METHODS -Using secondary data from the first two waves (1992 and 1994) of the Health and Retirement Study, we identified 7,055 employed respondents (51-61 years of age), 490 of whom reported having diabetes in wave 1. We estimated the effect of diabetes in wave 1 on the probability of working in wave 2 using probit regression. For those working in wave 2, we modeled the relationships between diabetic status in wave 1 and the change in hours worked and work-loss days using ordinary least-squares regressions and modeled the presence of health-related work limitations using probit regression. All models control for health status and job characteristics and are estimated separately by sex.RESULTS -Among individuals with diabetes, the absolute probability of working was 4.4 percentage points less for women and 7.1 percentage points less for men relative to that of their counterparts without diabetes. Change in weekly hours worked was not statistically significantly associated with diabetes. Women with diabetes had 2 more work-loss days per year compared with women without diabetes. Compared with individuals without diabetes, men and women with diabetes were 5.4 and 6 percentage points (absolute increase), respectively, more likely to have work limitations.CONCLUSIONS -This article provides evidence that diabetes affects patients, employers, and society not only by reducing employment but also by contributing to work loss and healthrelated work limitations for those who remain employed. Diabetes Care 28:2662-2667, 2005T he medical care costs associated with diabetes create a considerable economic burden for patients, families, and society (1,2). Productivity losses from diabetes have been estimated to be almost half ($40 billion) of the medical costs ($92 billion) associated with diabetes in 2002 (1). As the prevalence of diabetes in the U.S. has increased (3), so too have associated economic burdens (4). The increased prevalence (5) among younger individuals suggests that diabetes will become more common in the working-age population. Consequently, employment and work productivity of individuals with diabetes are important issues for patients, families, employers, and policy makers. In this study, we examine the effect of diabetes on labor market outcomes of employed U.S. adults aged 51-61 using longitudinal data from the Health and Retirement Study (HRS).Several studies have found negative associations between diabetes and employment outcomes (6 -10). The magnitude of the effect of diabetes on employment varies from 4 to 22 percentage points. Diabetes can affect employment in a number of ways. First, diabetes complications may prevent working entirely or increase absenteeism for those who work (11). Second, productivity while at work may also be impaired (12). Third, individuals with diabetes may face employment discrimination. In some cases, especially because of the risk of hypogl...

A growing body of evidence has shown that neighborhood characteristics have significant effects on quality metrics that evaluate health plans or health care providers. Using a data set of an urban teaching hospital patient discharges, this study aimed to determine whether a significant effect of neighborhood characteristics, measured by the Area Deprivation Index, could be observed on patients' readmission risk, independent of patient-level clinical and demographic factors. This study found that patients residing in more disadvantaged neighborhoods had significantly higher 30-day readmission risks compared to those living in less disadvantaged neighborhoods, even after accounting for individual-level factors. Those who lived in the most extremely socioeconomically challenged neighborhoods were 70% more likely to be readmitted than their counterparts who lived in less disadvantaged neighborhoods. These findings suggest that neighborhood-level factors should be considered along with individual-level factors in future work on adjustment of quality metrics for social risk factors.

Baseline demographic, hospitalization, and mortality data from CHeCS highlight the substantial US health burden from chronic viral hepatitis, particularly among persons born during 1945-1964.