Developing geriatric social work competencies for field education

Preparing social workers to effectively practice with the growing older population requires the identification of geriatric competencies for the profession. The John A. Hartford Geriatric Social Work Initiative provided the impetus and direction for a national strategy to improve the quality of preparation of geriatric social workers. The Geriatric Social Work Practicum Partnership Program (PPP) is the project with the Hartford Initiative that emphasizes field education. The Geriatric Social Work Education Consortium (GSWEC), one of the PPP programs, initiated the development of competencies for work with older adults. GSWEC utilized Geriatric Social Work White Papers and the pioneering work of the Council on Social Work Education's (CSWE) Strengthening Aging and Gerontology Education for Social Work's (SAGE-SW) comprehensive competency list as well as conducted focus groups locally to delineate key competencies for field education. The Coordinating Center for the PPP, located at the New York Academy of Medicine, led in collaboratively developing knowledge based skill competencies for geriatric social work across all 6 demonstration sites (11 universities). The competencies adopted across sites include skills in the following five major domains: values and ethics; assessment (individuals and families, aging services, programs and policies); practice and interventions (theory and knowledge in practice, individual and family, aging services, programs and practice) interdisciplinary collaboration; and evaluation and research. The identified competencies have proven effective in evaluating students (n = 190) pre- and post PPP field education. The implications for further development of competency driven education for geriatric social work are discussed.     

Spatial Cluster Detection for Longitudinal Outcomes Using Administrative Regions

This article proposes a new spatial cluster detection method for longitudinal outcomes that detects neighborhoods and regions with elevated rates of disease while controlling for individual level confounders. The proposed method, CumResPerm, utilizes cumulative geographic residuals through a permutation test to detect potential clusters which are defined as sets of administrative regions, such as a town or group of administrative regions. Previous cluster detection methods are not able to incorporate individual level data including covariate adjustment, while still being able to define potential clusters using informative neighborhood or town boundaries. Often, it is of interest to detect such spatial clusters because individuals residing in a town may have similar environmental exposures or socioeconomic backgrounds due to administrative reasons, such as zoning laws. Therefore, these boundaries can be very informative and more relevant than arbitrary clusters such as the standard circle or square. Application of the CumResPerm method will be illustrated by the Home Allergens and Asthma prospective cohort study analyzing the relationship between area or neighborhood residence and repeated measured outcome, occurrence of wheeze in the last six months, while taking into account mobile locations.     

Sampling hyperparameters in hierarchical models: Improving on Gibbs for high-dimensional latent fields and large datasets

ABSTRACT

A common Bayesian hierarchical model is where high-dimensional observed data depend on high-dimensional latent variables that, in turn, depend on relatively few hyperparameters. When the full conditional distribution over latent variables has a known form, general MCMC sampling need only be performed on the low-dimensional marginal posterior distribution over hyperparameters. This improves on popular Gibbs sampling that computes over the full space. Sampling the marginal posterior over hyperparameters exhibits good scaling of compute cost with data size, particularly when that distribution depends on a low-dimensional sufficient statistic.     

Is emergency preparedness a ‘disaster’ for people with disabilities in the US? Results from the 2006–2012 Behavioral Risk Factor Surveillance System (BRFSS)

This study compared emergency preparedness of people with activity limitations, with limitations who use specialized equipment, and with mental health conditions with that of people without these disabilities. Results of chi-square analysis and logistic regression analysis showed that people with activity limitations and/or mental health conditions were significantly less prepared for emergencies than people who used specialized equipment or persons without disabilities. Having an activity limitation and/or severe mental health conditions, and being non-white, uncoupled, female, and below the poverty line increases the likelihood of not being prepared. Suggestions for increasing preparedness related to training and policy development were discussed.     

Are college students health literate?

Abstract

Objective: To examine the health literacy of college students. Participants: A convenience sample of 245 graduate and undergraduate college students. Methods: During February–April of 2018 participants completed the Short Test of Functional Health Literacy which assessed literacy on two passages describing a thyroid scan, and basic healthcare insurance information. Results: Most college students displayed adequate health literacy (99.2%). The ANOVA analyses revealed college classification was the most significant predictor, followed by ethnicity, sex, and primary language. Age was significantly related to health literacy, when holding college classification constant. Interestingly, college major, healthcare work experience, or having health care credentials were not predictors of health literacy. Conclusion: This group of college students had adequate health literacy skills. However, the results of this study revealed demographic disparities that suggest further study.     

Brief Screening and Intervention for Alcohol and Drug Use in a College Student Health Clinic: Feasibility,Implementation, and Outcomes

Abstract

Objective: Evaluation of the Brief Alcohol Screen and Intervention in College Students (BASICS) in a university primary care setting. Participants/Methods: Undergraduates (N = 449) participated in BASICS and electronic surveys assessing frequency/quantity of alcohol and drug use, psychosocial and mental health outcomes, and demographic information. Data were collected at baseline and 6-month follow-up between August 2006 and August 2008. Results: Drinking and drug use decreased between baseline and 6 months. Participants reported an increase in protective factors and in readiness to change alcohol-related behaviors, and a decrease in alcohol-related consequences and in distress symptoms. Heavy episodic drinking at baseline significantly moderated the changes in number of drinks in a typical week and in a typical weekend, and number of drinks on the occasion drank most on a weekend. Conclusions: BASICS can be implemented in a primary health care setting and university students may reduce their alcohol and/or drug use.