A Randomized Controlled Trial of a Financial Literacy Curriculum for Survivors of Intimate Partner Violence

Financial literacy programs are quickly gaining in popularity around the globe. A relatively new target group is survivors of intimate partner violence (IPV), an economically vulnerable group for whom resource acquisition is related to personal safety and well-being. This study is a randomized controlled trial of a financial literacy curriculum designed for and delivered to a sample of 300 IPV survivors from 14 agencies in seven US states and Puerto Rico. Findings, based on difference-in-difference analyses and OLS regression models, indicate a strong effect of the curriculum on self-reported financial knowledge and behaviors and support the expansion of similar programs for survivors.     

College students with congenital heart disease: A critical time for transition

As medical and surgical advances improve, more young adults with congenital heart disease (CHD) are attending college. This case study illustrates some of the issues that these young adults may face as they attend college and discusses the role that college health practitioners can play in easing that transition. Participants: A case of a male with CHD presenting to the college health clinic with a new onset headache. Methods: The authors discuss some of the unique challenges that college health practitioners may face when caring for students with CHD. In addition, they make recommendations on how best to care for these patients and how best to coordinate care with CHD students other care providers. Results: This student with a history of coarctation of the aorta presented with new onset headaches and was found to have high blood pressure. He was diagnosed with recurrent coarctation, underwent percutaneous treatment with stenting and quickly resumed classes. Conclusions: As more students with CHD enter college, college health providers will need to understand some of the health risks that CHD students face. In addition, understanding some of the optimal ways to coordinate care with CHD providers can ease the transition that CHD students face as they enter college.     

Mission Rivalry: Use and Preservation Conflicts in National Parks Policy

The purpose of this study is to explore the conflict between use and preservation in national parks policy as seen through the mission statement of the National Parks Service. The histories of the national parks were qualitatively coded in order to further explore this controversy, or what we have termed “mission rivalry”.     

Overcoming medication refusal using a patient-centered approach

The refusal of psychotropic medication is a challenge faced by many healthcare providers when treating patients with mental illness. Controversy surrounds medication refusal because some mental health professionals believe that psychiatric patients should be forced to take medications for the safety of the general public, while patients are often acutely aware of potential lifelong adverse side effects and are sometimes reluctant to comply. The proposed alternative to this problem begins with developing the patient-provider relationship through a patient-centered approach. This approach emphasizes the individual needs of patients and creates opportunities for input from patients about their care, which helps form relationships of mutual trust and respect between patients and providers. This article explores the literature to: (1) understand some of the challenges and controversies involved in patient medication refusal from a clinical and societal level; (2) identify some issues in a patient-centered approach; and (3) make some brief clinical and policy recommendations that might help to bring about an increase in the use of patient-centered care. Hopefully, as efforts are made toward a patient-centered approach, increased psychotropic medication adherence and decreased medication coercion will result as providers listen and act upon the needs of their patients.     

A Deprivation Analysis for Andalusia (Spain): An Approach Based on Structural Equations

The study of deprivation, as a social indicator, is basic in the design and development of public policies because it allows decision makers to identify and analyse needy areas in order to improve their citizens’ well-being. The methodological approach proposed for the development of a new deprivation index is based on the Causal Theory whose conceptual model is analysed using Structural Equations. The domains selected for the deprivation index are: education, employment, income, housing, infrastructures and health. A structural equation model based on variance is the exploratory method used to obtain the indices pertaining to the above mentioned areas; the results obtained are seen to be quite reliable. There is a positive connection between the areas of education, employment and income while the relations between infrastructures and health are found to be negative. The results can be projected at a local level and show basic territorial deficiencies. The spatial units studied are the Andalusian (south of Spain) municipalities (770). The spatial projection of the indices obtained for the domains of deprivation highlights the existence of geographical areas which could be a potential target for public action.     

Bayesian Treatment of Model Uncertainty for Partially Applicable Models

This article discusses how analyst's or expert's beliefs on the credibility and quality of models can be assessed and incorporated into the uncertainty assessment of an unknown of interest. The proposed methodology is a specialization of the Bayesian framework for the assessment of model uncertainty presented in an earlier paper. This formalism treats models as sources of information in assessing the uncertainty of an unknown, and it allows the use of predictions from multiple models as well as experimental validation data about the models’ performances. In this article, the methodology is extended to incorporate additional types of information about the model, namely, subjective information in terms of credibility of the model and its applicability when it is used outside its intended domain of application. An example in the context of fire risk modeling is also provided.