Family Caregiver Communication in the ICU: Toward a Relational View of Health Literacy

We interviewed 18 family caregivers about their communication experiences in the ICUs at an urban hospital. Analysis of their narratives suggests health literacy is important in family caregiver/healthcare provider communication, especially as complicated illnesses move the caregiver deeper into decision making. Using the domains of Yuen et al.’s conceptual model of caregiver health literacy (2015), we identified three themes within the context of ICU communication: agency, coordinated communication, and caregiver’s evolving role. We saw family caregivers negotiating domains of health literacy as they built upon knowledge of the patient’s needs, their rights as family caregivers, and the hierarchy of the professional staff. We found that these narratives represent co-created, or relational communication, rather than individual health literacy skills. Conceptualized in the transaction of relationship, health literacy is enacted; it is socially constructed and is the scaffolding upon which family caregivers make decisions, care for their loved one, and care for themselves.     

The effect of different data structures,sample sizes on model fit measures

In this study, our aim was to investigate the changes of different data structures and different sample sizes on the structural equation modeling and the influence of these factors on the model fit measures. Examining the created structural equation modeling under different data structures and sample sizes, the evaluation of model fit measures were performed with a simulation study. As a result of the simulation study, optimization and negative variance estimation problems have been encountered depending on the sample size and changing correlations. It was observed that these problems disappeared either by increasing the sample size or the correlations between the variables in factor. For upcoming studies, the choice of RMSEA and IFI model fit measures can be suggested in all sample sizes and the correlation values for data sets are ensured the multivariate normal distribution assumption.     

How student teachers (don’t) talk about race: An intersectional analysis

This study explores how student teacher talk about their students illuminates the identities ascribed to these same students. It uses a hybrid intersectional framework based on Disability Studies, Critical Race Theory, and Latino Critical Theory and methodologies (like examining majoritarian stories, counter-storytelling, coded talk, and post-civil rights race talk) to uncover how student teacher talk reveals oppressive discourses of race, disability (and language status). This article focuses on how the medicalization of disability facilitates student teachers not identifying the racialization of disability in school. It demonstrates the need for educational research to employ an intersectionality lens when exploring educational issues related to students’ identities.     

Family Responsibilities,Productivity, and Earnings: A Study of Gender Differences Among Canadian Lawyers

This study examines whether men and women invest in different determinants of productivity and whether these investments affect productivity and salary in different ways. Hypotheses are tested from human and social capital theories that include more direct measures for family responsibilities and family-friendly firm arguments. Data from 670 law firm lawyers were used given they report a standardized measure of productivity in billable hours. Despite men investing more in their careers and women investing more in their families, both report similar productivity and their productivity is affected similarly by these factors. In addition, equally productive men and women are paid the same. The findings further our understanding of productivity and salary and the relevance of family responsibilities and family-friendly firms.

Structural Pluralism and Life Expectancy in Less-Developed Countries: The Role of Women's Status

This study replicates a previous finding forthe U.S. counties that showed a strongassociation, net of controls between``structural pluralism' and lower mortality. ``Structural pluralism' refers to a community'scapacity for political competition, and is acore element of ``democracy.' Pluralism hasthis effect because it facilitates theacquisition of appropriate medical facilitiesand because it tends to optimize the biologicalfunctioning of the residents. Working from amajor component of pluralism, minorityparticipation, this hypothesis is tested byshowing that women's status in less developedcountries improves life expectancy net ofcontrols. A path analysis demonstrates thatthe structural dimensions work through healthorganization as an intervening variable, andthe future testing of biological optimizationis outlined. Location in Africa south of theSahara is a partially unexplained controlvariable that has a powerful negative impact. Interpreting women's status as a component ofpluralism explains why it predicts increasedlife expectancy for all citizens, not justwomen. It is a global dimension that affectsall the members of a community.     

Coffee intake,health-related quality of life,and associated factors of overactive bladder in older Korean women living in rural South Korea

ABSTRACT

Overactive bladder (OAB) is a common health problem in older women. The aim of the study was to investigate coffee consumption, health-related quality of life (HRQOL), and associated factors of OAB in older Korean women living in rural South Korea. A total of 248 women aged 65 years and older participated in this study. Chi-square tests, t-tests, and multivariable logistic regressions were performed. The means of coffee consumption between OAB and non-OAB groups were not significantly different. Women with OAB showed significantly lower HRQOL than women with stress urinary incontinence only. OAB was associated with high body mass index and poor health status.     

Catastrophe Risk Models for Evaluating Disaster Risk Reduction Investments in Developing Countries

Major natural disasters in recent years have had high human and economic costs, and triggered record high postdisaster relief from governments and international donors. Given the current economic situation worldwide, selecting the most effective disaster risk reduction (DRR) measures is critical. This is especially the case for low‐ and middle‐income countries, which have suffered disproportionally more economic and human losses from disasters. This article discusses a methodology that makes use of advanced probabilistic catastrophe models to estimate benefits of DRR measures. We apply such newly developed models to generate estimates for hurricane risk on residential structures on the island of St. Lucia, and earthquake risk on residential structures in Istanbul, Turkey, as two illustrative case studies. The costs and economic benefits for selected risk reduction measures are estimated taking account of hazard, exposure, and vulnerability. We conclude by emphasizing the advantages and challenges of catastrophe model‐based cost‐benefit analyses for DRR in developing countries.     

Improved deviance goodness of fit statistics for a gamma regression model

A gamma regression model with an exponential link function for the means Is considered. Moment properties of the deviance statistics based on maximum likelihood and weighted least squares fits are used to define modified deviance statistics which provide alternative global goodness of fit tests. The null distribution properties of the deviances and modified deviances are compared with those of the approximating chi-square distribution and It is shown that the use of the modified deviances gives much better control over the significance levels of the tests.