Explore the vast range of titles available.

Prior research has suggested that gender differences in physicians' salaries can be accounted for by the tendency of women to enter primary care fields and work fewer hours. However, in examining starting salaries by gender of physicians leaving residency programs in New York State during 1999-2008, we found a significant gender gap that cannot be explained by specialty choice, practice setting, work hours, or other characteristics. The unexplained trend toward diverging salaries appears to be a recent development that is growing over time. In 2008, male physicians newly trained in New York State made on average $16,819 more than newly trained female physicians, compared to a $3,600 difference in 1999. [PUBLICATION ABSTRACT]

The prevalence of diabetes mellitus has increased rapidly in the United States since the mid-1990s. By 2014, an estimated 29.1 million persons, or 9.3% of the total population, had received a diagnosis of diabetes (1). Recent evidence indicates that the prevalence of diagnosed diabetes among non-Hispanic black (black), Hispanic, and poorly educated adults continues to increase but has leveled off among non-Hispanic whites (whites) and persons with higher education (2). During 2004-2010, CDC reported marked racial/ethnic and socioeconomic position disparities in diabetes prevalence and increases in the magnitude of these disparities over time (3). However, the magnitude and extent of temporal change in socioeconomic position disparities in diagnosed diabetes among racial/ethnic populations are unknown. CDC used data from the National Health Interview Survey (NHIS) for the periods 1999-2002 and 2011-2014 to assess the magnitude of and change in socioeconomic position disparities in the age-standardized prevalence of diagnosed diabetes in the overall population and among blacks, whites, and Hispanics. During each period, significant socioeconomic position disparities existed in the overall population and among the assessed racial/ethnic populations. Disparities in prevalence increased with increasing socioeconomic disadvantage and widened over time among Hispanics and whites but not among blacks. The persistent widening of the socioeconomic position gap in prevalence suggests that interventions to reduce the risk for diabetes might have a different impact according to socioeconomic position.

Objectives. We examined the relationship between socioeconomic position (SEP) and sensory impairment. Methods. We used data from the 2007 to 2010 National Health Interview Surveys (n = 69 845 adults). Multivariable logistic regressions estimated odds ratios (ORs) for associations of educational attainment, occupational class, and poverty–income ratio with impaired vision or hearing. Results. Nearly 20% of respondents reported sensory impairment. Each SEP indicator was negatively associated with sensory impairment. Adjusted odds of vision impairment were significantly higher for farm workers (OR = 1.41; 95% confidence interval [CI] = 1.01, 2.02), people with some college (OR = 1.29; 95% CI = 1.16, 1.44) or less than a high school diploma (OR = 1.36; 95% CI = 1.19, 1.55), and people from poor (OR = 1.35; 95% CI = 1.20, 1.52), low-income (OR = 1.28; 95% CI = 1.14, 1.43), or middle-income (OR = 1.19; 95% CI = 1.07, 1.31) families than for the highest-SEP group. Odds of hearing impairment were significantly higher for people with some college or less education than for those with a college degree or more; for service groups, farmers, and blue-collar workers than for white-collar workers; and for people in poor families. Conclusions. More research is needed to understand the SEP–sensory impairment association.

Objective: To examine whether health status and obesity prevalence differ by race or ethnicity and health care workforce category. Methods: Data representing US health care workers aged 20 to 64 between 1982 and 2004 were retrieved from the Integrated Health Interview Series. Trends, as well as disparities, in health status and obesity are examined by workforce category using logistic regression. Results: Self-reporte health status of health care workers has declined over time and the prevalence of obesity is rising. Moreover, there is a clear social gradient across workforce categories, which is widening over time. Within workforce categories, there are significant racial disparities in health status and prevalence of obesity. Conclusions: Health of health care workers needs to be taken into account when setting policies intended to increase access to health care and create a healthy diverse workforce.

Objectives. We examined rates of uninsurance among workers in the US health care workforce by health care industry subtype and workforce category. Methods. We used 2004 to 2006 National Health Interview Survey data to assess health insurance coverage rates. Multivariate logistic regression analyses were conducted to estimate the odds of uninsurance among health care workers by industry subtype. Results. Overall, 11% of the US health care workforce is uninsured. Ambulatory care workers were 3.1 times as likely as hospital workers (95% confidence interval [CI] = 2.3, 4.3) to be uninsured, and residential care workers were 4.3 times as likely to be uninsured (95% CI = 3.0, 6.1). Health service workers had 50% greater odds of being uninsured relative to workers in health diagnosing and treating occupations (odds ratio [OR] = 1.5; 95% CI = 1.0, 2.4). Conclusions. Because uninsurance leads to delays in seeking care, fewer prevention visits, and poorer health status, the fact that nearly 1 in 8 health care workers lacks insurance coverage is cause for concern.

We examined indicators of health status and healthcare utilization according to immigration status to assess the ‘healthy immigrant effect' for Chinese adults. Data for Chinese in Taiwan (n = 15,549) were from the 2001 Taiwan National Health Interview Survey (NHIS). Data for U.S.-born Chinese (n = 964) and Chinese Immigrants in the U.S. (n = 253) were from the 1998-2004 U.S. NHIS. We used multivariate logistic regression to estimate the adjusted odds of perceived poor health, having ever smoked, and past year emergency room visits according to immigration status. For Chinese immigrants, more years in the U.S. were associated with lower odds of reporting poor health (OR = 0.4; 95% CI = 0.2-0.8) and past-year emergency room use (OR = 0.5; 95% CI = 0.3-0.9). Compared with recent Chinese immigrants (<5 years in U.S.), Chinese in Taiwan had higher odds of reporting poor health (OR = 6.2; 95% CI = 3.2-12.1) and having ever smoked (OR = 1.6; 95% CI = 1.1-2.5). Our results suggest that those who migrate have better health profiles than those who do not migrate. However, recent Chinese immigrants were not significantly different than U.S.-born Chinese.

Disparities in cancer screening among U.S. women are well documented. However, little is known about Pap test use by Asian women living in the U.S. Data for women, ages 18 and older, living in the U.S. were obtained from National Health Interview Survey (NHIS) files from 1982 to 2005. Outcomes were ever having a Pap test and having a Pap test within the preceding 3 years. Pap test prevalence trends were estimated by race and ethnicity and for Asian subgroups. Fractional logit models were used to predict Pap test use in 2010. Although the rate of having a Pap test within the preceding 3 years increased slightly from 1982 to 2005 for all U.S. women, Asian women continue to have the lowest rate. Pap test use also varied within Asian subpopulations living in the U.S. None of the races and ethnicities are predicted to reach the Pap test targets of Healthy People 2010. To reduce or eliminate continuing disparities in Pap test use requires targeted policy interventions.

In 2000, an estimated 3.4 million U.S. residents aged ≥40 years were blind or visually impaired. Vision problems place a substantial burden on individuals, caregivers, health-care payers, and the U.S. economy, with the total cost estimated at $51.4 billion annually. Although regular comprehensive eye examinations are essential for timely treatment of eye disease to maintain vision health, a previous study has shown that substantial percentages of persons do not seek eye care, despite having visual impairment. To ascertain why adults aged ≥40 years with moderate-to-severe visual impairment did not seek eye care in the preceding year, CDC analyzed data for 21 states from 2006-2009 Behavioral Risk Factor Surveillance System (BRFSS) surveys. This report summarizes the results of that analysis, which found that eye-care cost or lack of insurance (39.8%) and perception of no need (34.6%) were the most common reasons given for not seeking eye care. Among those aged 40-64 years, cost or lack of health insurance was the most common reason (42.8%); among those aged ≥65 years, the most common reason was no need (43.8%). Identifying the reasons for unmet eye-care needs might enable development of targeted interventions to improve vision health among those with moderate-to-severe visual impairment.

Objective To estimate the prevalence of, and factors associated with, dilated eye examination guideline compliance among patients with diabetes mellitus (DM), but without diabetic retinopathy. Research design and methods Utilizing the computerized billing records database, we identified patients with International Classification of Diseases (ICD)-9 diagnoses of DM, but without any ocular diagnoses. The available medical records of patients in 2007–2008 were reviewed for demographic and ocular information, including visits through 2010 (n=200). Patients were considered guideline compliant if they returned at least every 15 months for screening. Participant street addresses were assigned latitude and longitude coordinates to assess their neighborhood socioeconomic status (using the 2000 US census data), distance to the screening facility, and public transportation access. Patients not compliant, based on the medical record review, were contacted by phone or mail and asked to complete a follow-up survey to determine if screening took place at other locations. Results The overall screening compliance rate was 31%. Patient sociodemographic characteristics, insurance status, and neighborhood socioeconomic measures were not significantly associated with compliance. However, in separate multivariable logistic regression models, those living eight or more miles from the screening facility were significantly less likely to be compliant relative to those living within eight miles (OR=0.36 (95% CI 0.14 to 0.86)), while public transit access quality was positively associated with screening compliance (1.34 (1.07 to 1.68)). Conclusions Less than one-third of patients returned for diabetic retinopathy screening at least every 15 months, with transportation challenges associated with noncompliance. Our results suggest that reducing transportation barriers or utilizing community-based screening strategies may improve compliance.