Diagnostic sequence of cocaine use disorder in relation to other mental health conditions among college students

Abstract

Objective: Cocaine use is increasing. Comorbidities and diagnostic sequencing are needed among college students to inform treatment of cocaine use disorder (CUD). Method: Using electronic medical records from the psychiatric clinic at the student health care center of a large, public university from 2005 to 2015, patients diagnosed with CUD were identified. Their top mental health conditions were identified and assessed to see whether the first diagnosis of these conditions was made (1) before, (2) at the same time as, or (3) after the first diagnosis of CUD. Results: Among the 50 CUD patients, their most common mental health comorbidities were alcohol use disorder, anxiety, depression, and cannabis use disorder. Anxiety and depression were likely to be diagnosed before CUD; alcohol and cannabis use disorders were likely to be diagnosed concurrently with CUD. Conclusion: Diagnostic sequencing can be used to inform screening, workup, and treatment for patients with CUD.     

Risk Policies in the United States: Definition and Characteristics Based on a Scoping Review of the Literature

The concept of “risk policy” is used with increasing frequency by decisionmakers, researchers, and the media. However, there is no precise, generally accepted definition of what is covered by policies in this area. Based on a scoping review of the literature published in key journals in the sector, we have identified the main characteristics of public risk policies drawn up and implemented in the United States. The sample comprised 21 articles published in six multidisciplinary journals between 2000 and 2010.     

A Parametric Estimation Procedure for Relapse Time Distributions

In a relapse clinical trial patients who have recovered from some recurrent disease (e.g.,ulcer or cancer) are examined at a number of predetermined times. A relapse can be detected either at one of these planned inspections or at a spontaneous visit initiated by the patient because of symptoms. In the first case the observations of the time to relapse, X, is interval-censored by two predetermined time-points. In the second case the upper endpoint of the interval is an observation of the time to symptoms,Y . To model the progression of the disease we use a partially observable Markov process. This approach results in a bivariate phase-type distribution for the joint distribution of (X,Y). It is a flexible model which contains several natural distributions for X, and allows the conditional distributions of the marginals to smoothly depend on each other. To estimate the distributions involved we develop an EM-algorithm. The estimation procedure is evaluated and compared with a non-parametric method in a couple of examples based on simulated data.     

The Social Work Role in Reducing 30-Day Readmissions: The Effectiveness of the Bridge Model of Transitional Care

The hospital experience is taxing and confusing for patients and their families, particularly those with limited economic and social resources. This complexity often leads to disengagement, poor adherence to the plan of care, and high readmission rates. Novel approaches to addressing the complexities of transitional care are emerging as possible solutions. The Bridge Model is a person-centered, social work-led, interdisciplinary transitional care intervention that helps older adults safely transition from the hospital back to their homes and communities. The Bridge Model combines 3 key components—care coordination, case management, and patient engagement—which provide a seamless transition during this stressful time and improve the overall quality of transitional care for older adults, including reducing hospital readmissions. The post Affordable Care Act (ACA) and managed care environment’s emphasis on value and quality support further development and expansion of transitional care strategies, such as the Bridge Model, which offer promising avenues to fulfil the triple aim by improving the quality of individual patient care while also impacting population health and controlling per capita costs.     

Using the integrative model of behavioral prediction to understand college students’ STI testing beliefs,intentions, and behaviors

ABSTRACT

Objectives: To identify salient behavioral determinants related to STI testing among college students by testing a model based on the integrative model of behavioral (IMBP) prediction. Participants: 265 undergraduate students from a large university in the Southeastern US. Methods:Formative and survey research to test an IMBP-based model that explores the relationships between determinants and STI testing intention and behavior. Results: of path analyses supported a model in which attitudinal beliefs predicted intention and intention predicted behavior. Normative beliefs and behavioral control beliefs were not significant in the model; however, select individual normative and control beliefs were significantly correlated with intention and behavior. Conclusions: Attitudinal beliefs are the strongest predictor of STI testing intention and behavior. Future efforts to increase STI testing rates should identify and target salient attitudinal beliefs.     

Social Work Academics as Humboldtian Researcher‐Educators: Discussion of a Survey of Staff Profiles from Schools in Denmark,England and Germany

A survey of social work academics' education profiles in Denmark, England and Germany is discussed. Material was collected in 2004, mainly from schools' Internet websites. Findings were classified by highest achieved level of qualification, using British terminology: ‘diploma’, ‘degree’ and ‘doctoral’. Findings are discussed with reference to the status of social work knowledge and social work education. This discussion is framed by drawing on the model of the teacher‐researcher developed by Wilhelm von Humboldt (1767–1835). The German sample showed the highest proportions of social work academics with doctoral qualifications, with the lowest levels being found in the Danish sample and the English sample being situated in‐between.     

NOT SO FAST,MY FRIEND: SOCIAL CAPITAL AND THE RACE DISPARITY IN PROMOTIONS AMONG COLLEGE FOOTBALL COACHES

To better understand persistent racial inequality in occupational mobility, we examine the influence of race and social capital on the promotions of 320 assistant college football coaches. The results from quantitative analyses demonstrate that social capital matters a great deal for promotions, but its impact is contingent on the race of the respondent. Specifically, network connections to heterogeneous contacts (racially heterophilous ties, weak ties, and high-status ties) appear to be more effective for black coaches than for white coaches. The findings underscore the importance and complexity of the relationships between race, social capital, and occupational mobility.     

Naturally Occurring Retirement Community (NORC) Residents Have a False Sense of Security That Could Jeopardize Their Safety in a Disaster

High-rise apartments bring unique challenges in emergency situations. To better understand the needs of apartment-dwelling seniors in emergency situations and potential sources of support available, a novel collaborative community development approach was used with seniors living in a naturally occurring retirement community (NORC) in London, Ontario, Canada (N = 2500; mean ± SD age = 79 ± 9.53 years). A surprising finding was a false sense of security, with seniors expecting that management would take care of all needs. This finding reinforces the critical need for better public messaging for seniors, as well as targeted emergency management plans for frailer older individuals living in the community.