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Background: As shown by Minorities’ Diminished Returns (MDRs), ethnic minorities show weaker than expected effects of education level on health outcomes. However, this pattern is better demonstrated for health behaviors and health care utilization than satisfaction with care. Additionally, more is known about MDRs in African Americans than the Latino population. Thus, there is a need to study MDRs of education on healthcare satisfaction in highly educated African American and Latino individuals. Objectives: We tested ethnic differences in the association between education level and satisfaction with healthcare among American adults. Methods: The National Health Interview Survey (2015) included 24,835 adults who were Latino, non-Latino, African American, or White. The independent variable was education level. The dependent variable was satisfaction with healthcare. Age, gender, marital status, employment, region, physical health (self-rated health, and chronic diseases, body mass index), and mental health (psychological distress) were the covariates. Ethnicity was the moderator. Logistic regression was used for data analysis. Results: Higher education level was associated with higher satisfaction with healthcare in White but not African Americans. In the pooled sample, African American ethnicity showed a significant statistical interaction with education level suggesting a significantly smaller effect of high educational attainment on satisfaction with healthcare for African Americans than White adults. A similar interaction could not be found for Latino ethnicity, suggesting that education similarly enhances healthcare satisfaction for Latino and non-Latino adults. Conclusion: High education level boosts satisfaction with healthcare for Whites but not African Americans.

Most of what we know about the coronavirus disease 2019 (COVID-19) is limited to the severe acute respiratory syndrome, epidemiology, fatality, and acute care. However, infection with COVID-19 may also involve the central nervous system (CNS), which may or may not be due to a multi-organ injury. Our aim in this paper is to briefly summarize the main aspects of the growing literature on neurological manifestations of the COVID-19 infection. As such, after mentioned some general background on the economic and medical pandemic on the populations, the healthcare system, and the society, we summarize some common aspects of the published literature on neurological manifestations of the COVID-19 infection. We also highlight the existing gaps in the literature, which requires additional work. The most common neurological manifestation of COVID-19 infection is the olfactory deficit. However, it is still unknown if it is inflammatory or degenerative in nature. Still, the incidence of neurological involvement, and also mechanisms and their treatments are unknown. This literature is predominantly composed of opinions and reviews rather than original articles, so the patients’ data are not used for a majority of the studies. Multi-center studies that not only conduct chest CT or MRI but also brain CT or MRI are needed. Randomized trials are still required on the management of acute and chronic neurological conditions due to COVID-19 infection. Cohort studies may also determine the natural history of the conditions and factors that are prognostic. Furthermore, while disparities in COVID-19 infections are known, inequalities in neurological manifestations are unknown. Besides, the efficacy of specific treatments on CNS involvement is still unknown. We will discuss the health care needs of patients with chronic neurological conditions. We end the paper with a few recommendations for practice and research.

Background: Prostate cancer screening is more commonly utilized by highly educated people. As shown by marginalization-related diminished returns (MDRs), the effects of socioeconomic status (SES) such as education on the health outcomes are considerably smaller for ethnic minorities than for Whites. The role of MDRs as a source of ethnic health disparities is, however, still unknown. Objectives: The current study had two aims: first, to explore the association between years of schooling and having taken a prostate-specific antigen (PSA) test among men in the US, and second, to explore ethnic differences in this association. Methods: This study was a secondary analysis of data from the National Health Interview Survey (NHIS-2015). The data of 5,053 men aged 55 years or older who were either Latino, non-Latino, African–American, or White were analyzed. Years of schooling was the independent variable. The dependent variable was taking a PSA test sometime during one’s lifetime. Age, region, and employment were the control variables. Ethnicity was the focal moderating variable. Binary logistic regression was used for data analysis. Results: A higher number of years of schooling was associated with higher odds of having taken a PSA test, net of all confounders. Ethnicity showed a significant statistical interaction with years of schooling on having taken a PSA test. This interaction was suggestive of a smaller slope for Latino men than non-Latino men. White and African American men did not show differential effects of years of schooling on having taken a PSA test. Conclusion: Similar to the MDRs patterns in other domains, non-Latino White men show more health gain from their years of schooling than Latino men. Highly educated Latino men still need programs to encourage their use of prostate cancer screening.

Background: The literature on Minorities’ Diminished Returns (MDRs) have shown worse than expected health of the members of racial and ethnic minority groups particularly Blacks. Theoretically, this effect can be in part due to weaker effects of educational attainment on preventive care and disease management in highly educated racial and ethnic minorities. Objectives: The current study explored the racial and ethnic differences in the effect of baseline educational attainment on % adherance to the routine physician visits among middle-aged and older adults in the US. Methods: This is a prospective study with 24 years of follow up. The Health and Retirement Study (HRS: 1992-2016) included 10 880 middle-aged and older adults who were Hispanic, non-Hispanic, Black or White. The independent variable was educational attainment. The dependent variable was adherance to the routine physician visits (%). Age, gender, marital status, income, health behaviors (smoking and drinking) and health (depression, self-rated health, and chronic diseases) were the covariates. Race and ethnicity were the focal moderators. Linear regression was used for data analysis. Results: Overall, higher educational attainment was associated with higher % of adherance to the routine physician visits over the course of follow-up, net of all confounders. Race showed a significant statistical interaction with educational attainment suggesting of a smaller effect of high education attainment on % adherance to the routine physician visits for Black than White middle-aged and older adults. Similar interaction could not be found for the comparison of Hispanic and non-Hispanic middle-aged and older adults. Conclusion: Educational attainment is associated with a larger increase in preventive and disease management doctor visits for White than Black middle-aged and older adults. This is a missed opportunity to improve the health of highly educated middle-aged and older adults. It is not race/ethnicity or class that shapes health behaviors but race/ethnicity and class that shape people’s pro-health behaviors. At least some of the racial health disparities is not due to low SES but diminished returns of SES.

Background: The Minorities’ Diminished Returns (MDRs) theory suggests that the health effect of educational attainment is considerably smaller for members of racial and ethnic minority groups than for Whites. Objective: The current study explored the racial and ethnic differences in the association between educational attainment and Breast Physical Exam (BPE) among women in the U.S. Methods: The National Health Interview Survey (NHIS 2015) included 12 510 women who were Hispanic or non-Hispanic Black or White people. The independent variable was the level of educational attainment. The dependent variable was lifetime BPE. Age, region, marital status, and employment were the covariates. Race and ethnicity were the focal moderators. Logistic regressions were used for data analysis. Results: Overall, higher educational attainment was associated with higher odds of BPE, net of all confounders (odds ratio [OR]=1.11, 95% CI=1.09-1.13). Ethnicity showed a significant statistical interaction with educational attainment on BPE (OR=0.96, 95% CI=0.93-1.00), which was suggestive of a smaller effect of high education attainment on BPE for Hispanic than non-Hispanic women. The same interaction could not be found for the comparison of White and Black women (OR = 0.98, 95% CI =0.94-1.02). Conclusion: In line with other domains, non-Hispanic White women show a larger amount of health gain from their educational attainment than Hispanic women. It is not ethnicity or class but ethnicity and class that shapes how people engage in pro-health behaviors. This result may help hospitals and healthcare systems to better reduce health disparities in their target populations.

Background: As suggested by the Minorities’ Diminished Returns (MDRs) theory, educational attainment shows a weaker protective effect for racial and ethnic minority groups compared to non-Hispanic Whites. This pattern, however, is never shown for hospitalization risk. Objectives: This cross-sectional study explored racial and ethnic variations in the association between educational attainment and hospitalization in the United States. Methods: Data came from the National Health Interview Survey (NHIS 2015). The total sample was 28,959 American adults. Independent variables was educational attainment. The main outcome was hospitalization during the last 12 months. Age, gender, employment, marital status, region, obesity, and number of cardiovascular conditions were covariates. Race and ethnicity were the effect modifiers. Logistic regression models were utilized to analyze the data. Results: From all participants, 16.2% were Black and 11.6% were Hispanic with a mean age of 51 years. Overall, higher education levels were associated with lower odds of hospitalization, independent of all confounders. Educational attainment showed significant interactions with race (odds ratio [OR] =1.04, 95% CI = 1.01-1.08) and ethnicity (OR = 1.04, 95% CI =1.01-1.07) on hospitalization, indicating smaller protective effects of educational attainment on hospitalization of Hispanics and Blacks than non-Hispanic Whites. Conclusion: The protective effects of educational attainment on population health are smaller for Blacks and Hispanics compared to non-Hispanic Whites. To prevent health disparities, the diminished returns of educational attainment should be minimized for racial and ethnic minorities. To do so, there is a need for innovative and bold economic, public, and social policies that do not limit themselves to equalizing socioeconomic status, but also help minorities leverage their available resources and gain tangible outcomes.

Background: Hospitalization compared to outpatient care leads to better diagnosis. Stability of diagnosis varies among different psychiatric disorders and is associated with some demographic and mental health variables. Objective: The current study evaluated the stability of diagnosis in Baqiyatallah Hospital Psychiatric Ward. Methods: In this retrospective study, 908 inpatient records from the psychiatric ward of Baqiyatallah Hospital in the years 1997-2015 were randomly selected. Having primary and final diagnoses was the inclusion criterion. Demographic variables (age, sex, marital status, education, and employment) and mental health variables (primary and final psychiatric diagnoses, duration of hospitalization, psychiatric history, and medication history) were recorded. Ultimately, 429 cases were entered into the study. Results: The overall diagnostic stability rate was 57.6%. In mood, anxiety, psychotic, and personality disorders, the diagnostic stability rates were 84%, 63.8%, 46.3%, and 36.4%, respectively. For depressive and bipolar disorders, the stability of diagnosis rates were 85.5% and 86%, respectively. A significant relation between diagnosis axis, number of diagnoses, drug abuse and somatic disease history and diagnostic stability was seen (pConclusion: According to the present study, the maximum diagnostic stability rate was related to mood disorders with anxiety disorders ranking second. The minimum stability was related to personality disorders. Other studies have reported completely different results which may be due to different situations. Future studies in this field seem to be essential.