The (Conditional) Resource Dilution Model: State- and Community-Level Modifications

Demography - One of the most consistent patterns in the social sciences is the relationship between sibship size and educational outcomes: those with fewer siblings outperform those with many. The...     

Generating synthetic data to produce public-use microdata for small geographic areas based on complex sample survey data with application to the National Health Interview Survey

Small area statistics obtained from sample survey data provide a critical source of information used to study health, economic, and sociological trends. However, most large-scale sample surveys are not designed for the purpose of producing small area statistics. Moreover, data disseminators are prevented from releasing public-use microdata for small geographic areas for disclosure reasons; thus, limiting the utility of the data they collect. This research evaluates a synthetic data method, intended for data disseminators, for releasing public-use microdata for small geographic areas based on complex sample survey data. The method replaces all observed survey values with synthetic (or imputed) values generated from a hierarchical Bayesian model that explicitly accounts for complex sample design features, including stratification, clustering, and sampling weights. The method is applied to restricted microdata from the National Health Interview Survey and synthetic data are generated for both sampled and non-sampled small areas. The analytic validity of the resulting small area inferences is assessed by direct comparison with the actual data, a simulation study, and a cross-validation study.     

The Gamma-count distribution in the analysis of experimental underdispersed data

Event counts are response variables with non-negative integer values representing the number of times that an event occurs within a fixed domain such as a time interval, a geographical area or a cell of a contingency table. Analysis of counts by Gaussian regression models ignores the discreteness, asymmetry and heteroscedasticity and is inefficient, providing unrealistic standard errors or possibly negative predictions of the expected number of events. The Poisson regression is the standard model for count data with underlying assumptions on the generating process which may be implausible in many applications. Statisticians have long recognized the limitation of imposing equidispersion under the Poisson regression model. A typical situation is when the conditional variance exceeds the conditional mean, in which case models allowing for overdispersion are routinely used. Less reported is the case of underdispersion with fewer modeling alternatives and assessments available in the literature. One of such alternatives, the Gamma-count model, is adopted here in the analysis of an agronomic experiment designed to investigate the effect of levels of defoliation on different phenological states upon the number of cotton bolls. Data set and code for analysis are available as online supplements. Results show improvements over the Poisson model and the semi-parametric quasi-Poisson model in capturing the observed variability in the data. Estimating rather than assuming the underlying variance process leads to important insights into the process.     

Social Contagion and General Diffusion Models of Adolescent Religious Transitions: A Tutorial,and EMOSA Applications

Epidemic Models of the Onset of Social Activities (EMOSA) describe behaviors that spread through social networks. Two social influence methods are represented, social contagion (one-to-one spread) and general diffusion (spread through cultural channels). Past models explain problem behaviors—smoking, drinking, sexuality, and delinquency. We provide review, and a tutorial (including examples). Following, we present new EMOSA models explaining changes in adolescent and young adult religious participation. We fit the model to 10 years of data from the 1997 U.S. National Longitudinal Survey of Youth. Innovations include a three-stage bi-directional model, Bayesian Markov Chain Monte Carlo (MCMC) estimation, graphical innovations, and empirical validation. General diffusion dominated rapid reduction in church attendance during adolescence; both diffusion and social contagion explained church attendance stability in early adulthood.     

Alarmed: sensory approaches to improving medical alarm systems

Medical alarms sound incessantly, loudly, and dissonantly, contributing to an already noisy ICU and OR soundscape, and ultimately harming both patients and staff. Sometimes triggered in error, the sheer number of alarms distracts health care professionals and results in sensory overload that contributes to hospital staff’s alarm fatigue. In turn, staff become increasingly likely to ignore alarms instead of acting on them. Furthermore, the patients’ sensitivity to alarms disturbs their hospital stay, raises their stress levels, and impedes their recovery process, with sometimes lasting effects. This article considers the sensory effects of hospital alarms and possibilities for redesigning future alarm systems, with the goal of eventually creating a more calming, less stressful, and safer hospital soundscape environment for all.     

Consumption and poverty in the homes of the English poor,c. 1670–1834

The consumer behaviour of the poor in the long eighteenth century has attracted more historical attention in recent years. Yet, we have little understanding of whether regional factors affected consumption or how the poor’s ownership of household goods was influenced by level of poverty and the life-cycle. By focusing on Kent and drawing comparisons to other counties, this article argues that the material lives of the poor were improving by the late eighteenth century, but finds that there were distinct regional differences as the poor acquired more and better goods in London and the Home Counties than in relatively remote areas. Moreover, by using pauper inventories and labourers’ probate inventories, the research finds that the poor were not a homogeneous group with similar levels of material wealth, but should be considered in terms of different subgroups which often led very different material lives to one another due to life-cycle-related problems including sickness and old age. Labourers’ probate inventories are found to represent a minority of the poor who were materially richer than most, whilst pauper inventories appear to represent a more typical subgroup of the poor that struggled to make do and owned most types of goods in smaller numbers.     

Anticipated Ethics and Regulatory Challenges in PCORnet: The National Patient-Centered Clinical Research Network

PCORnet, the National Patient-Centered Clinical Research Network, seeks to establish a robust national health data network for patient-centered comparative effectiveness research. This article reports the results of a PCORnet survey designed to identify the ethics and regulatory challenges anticipated in network implementation. A 12-item online survey was developed by leadership of the PCORnet Ethics and Regulatory Task Force; responses were collected from the 29 PCORnet networks. The most pressing ethics issues identified related to informed consent, patient engagement, privacy and confidentiality, and data sharing. High priority regulatory issues included IRB coordination, privacy and confidentiality, informed consent, and data sharing. Over 150 IRBs and five different approaches to managing multisite IRB review were identified within PCORnet. Further empirical and scholarly work, as well as practical and policy guidance, is essential if important initiatives that rely on comparative effectiveness research are to move forward.     

Cognitive-Behavioral Therapy for Bipolar Disorder: Implications for Clinical Social Workers

ABSTRACT

The purposes of this review article are to orient clinical social workers to cognitive-behavioral theory, intervention, and research on bipolar disorder (BD); identify pros and cons of applying cognitive-behavioral therapy (CBT) to social work clients with BD; and identify specific implications for clinical social work practice. Of the 545 articles that were obtained via the systematic review, 18 studies were identified as being potentially eligible for inclusion, and 9 of those studies ultimately satisfied the inclusion criteria. The results of each study were summarized via identifying statistically significant (p< .05) differences that existed between experimental cohorts who received CBT (plus pharmacotherapy) and control cohorts who received treatment as usual. Outcomes showed CBT cohorts as having significant improvement over their respective control groups. The review's implications for clinical social workers and the need for future research are discussed.