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This study investigated disparities in dual diagnosis (comorbid substance use and depressive/anxiety disorders) among US adults by nativity and racial–ethnic origin and socioeconomic, cultural, and psychosocial factors that may account for the observed disparities.

The study drew on data from two waves of the National Epidemiological Survey on Alcohol and Related Conditions. Racial–ethnic categories included African, Asian/Pacific Islander, European, Mexican, Puerto Rican, and other Hispanic/Latino. Substance use and depressive/anxiety disorders were assessed per DSM-IV. A four-category measure of comorbidity was constructed: no substance use or psychiatric disorder; substance use disorder only; depressive/anxiety disorder only; and dual diagnosis. The data were analyzed using multinomial logistic regression.

The prevalence of dual diagnosis was low but varied by nativity, with the highest rates among Europeans and Puerto Ricans born in US states, and the lowest among Mexicans and Asians/Pacific Islanders. The nativity and racial–ethnic effects on likelihood of having dual diagnosis remained significant after all adjustments.

The limitations included measures of immigrant status, race–ethnicity, and stress and potential misdiagnosis of mental disorder among ethnic minorities.

This new knowledge will help to guide public health and health care interventions addressing immigrant mental and behavioral health gaps.

This study addressed the research gap in regard to the prevalence and correlates of dual diagnosis among immigrants and racial–ethnic minorities. The study used the most current and comprehensive data addressing psychiatric conditions among US adults and examined factors rarely captured in epidemiologic surveys (e.g., acculturation).

Tremendous measure of data lakes with the exponential mounting rate is produced by the present healthcare sector. The information from differing sources like electronic wellbeing record, clinical information, streaming information from sensors, biomedical image data, biomedical signal information, lab data, and so on brand it substantial as well as mind-boggling as far as changing information positions, which have stressed the abilities of prevailing regular database frameworks in terms of scalability, storage of unstructured data, concurrency, and cost. Big data solutions step in the picture by harnessing these colossal, assorted, and multipart data indexes to accomplish progressively important and learned patterns. The reconciliation of multimodal information seeking after removing the relationship among the unstructured information types is a hotly debated issue these days. Big data energizes in triumphing the bits of knowledge from these immense expanses of information. Big data is a term which is required to take care of the issues of volume, velocity, and variety generally seated in the medicinal services data. This work plans to exhibit a survey of the writing of big data arrangements in the medicinal services part, the potential changes, challenges, and accessible stages and philosophies to execute enormous information investigation in the healthcare sector. The work categories the big healthcare data (BHD) applications in five broad categories, followed by a prolific review of each sphere, and also offers some practical available real-life applications of BHD solutions.

BIM education for construction professionals has tended to lag industry developments. This investigation initiates doctoral research into the use of BIM for construction education. The purpose of this study is to gain an understanding of existing examples of BIM education, their characteristics, the challenges faced in their implementation and any clear trends to focus the doctoral research effort.

A systematic search of peer-reviewed BIM education literature was carried out. From the articles captured, 51 specific cases of BIM education were identified and analysed.

Most cases are from the USA with a more global spread from 2013. A tendency towards interdisciplinary collaboration was apparent though single discipline courses remain important. BIM software in education is dominated by Autodesk products. Most cases were found to be BIM-focused with few examples of BIM-enabled education. This was consistent with the most significant BIM education challenges that were found to relate to the skill levels of students, time and the availability of technical support.

This is an initial study. It is based on only 51 cases of BIM education, which were partially described in peer reviewed conference and journal papers available in international databases.

The investigation has shed some light on existing examples of BIM education and these are useful in designing BIM education initiatives as well as directing further research efforts.

The study offers an original perspective on global BIM education. It also represents the commencement of doctoral research.

Based on literature providing evidence that Afrocentric hairstyles (e.g. afros, braids, dreadlocks) of Black women working in professional settings are often associated with negative stereotypes and biases regarding competency and professionalism, this chapter examines the extent to which these biases may be influencing the hairstyle choices of Black women employed in higher education. While academic workplaces tend to be more flexible and informal than non-academic settings, we found many Black women in higher education are, nonetheless, choosing to wear Eurocentric hairstyles. However, choice of hairstyle was influenced by academic discipline, type of institution and level in the university hierarchy.

Medical errors in obstetric departments are commonly reported and may involve both mother and neonate. The complexity of obstetric care, the interactions between various disciplines, and the inherent limitations of human performance make it critically important for these departments to provide patient-safe and friendly working environments that are open to learning and participative safety. Obstetric care involves stressful work, and health care professionals are prone to develop burnout, this being associated with unsafe practices and lower probability for reporting safety concerns. This study aims to test the mediating role of burnout in the relationship of patient-safe and friendly working environment with unsafe performance. The full population of professionals working in an obstetrics department in Malta was invited to participate in a cross-sectional study, with 73.6% (n = 184) of its members responding. The research tool was adapted from the Sexton et al.’s Safety Attitudes Questionnaire – Labor and Delivery version and surveyed participants on their working environment, burnout, and perceived unsafe performance. Analysis was done using Structural Equation Modeling. Results supported the relationship between the lack of a perceived patient-safe and friendly working environment and unsafe performance that is mediated by burnout. Creating a working environment that ensures patient safety practices, that allows communication, and is open to learning may protect employees from burnout. In so doing, they are more likely to perceive that they are practicing safely. This study contributes to patient safety literature by relating working environment, burnout, and perceived unsafe practice with the intention of raising awareness of health managers’ roles in ensuring optimal clinical working environment for health care employees.

Conventional tests of the regression discontinuity design’s identifying restrictions can perform poorly when the running variable is discrete. This paper proposes a test for manipulation of the running variable that is consistent when the running variable is discrete. The test exploits the fact that if the discrete running variable’s probability mass function satisfies a certain smoothness condition, then the observed frequency at the threshold has a known conditional distribution. The proposed test is applied to vote tally distributions in union representation elections and reveals evidence of manipulation in close elections that is in favor of employers when Republicans control the NLRB and in favor of unions otherwise.