Getting the Haves to Come out Behind: Fixing the Distributive Injustices of American Health Care

Hyman criticizes an article by Havighurst and Richman regarding the distributive injustices of US health care. Hyman also offers a guide for implementing policy reforms based on the analysis by Havighurst and Richman

Remarks by David F. Cavers to Duke Students Converning the Origin of and Vision for Law and Contemporary Problems

Objectives To present a method for generating reference maps of typical brain characteristics of groups of subjects using a novel combination of rapid quantitative Magnetic Resonance Imaging (qMRI) and brain normalization. The reference maps can be used to detect significant tissue differences in patients, both locally and globally. Materials and Methods A rapid qMRI method was used to obtain the longitudinal relaxation rate (R1), the transverse relaxation rate (R2) and the proton density (PD). These three tissue properties were measured in the brains of 32 healthy subjects and in one patient diagnosed with Multiple Sclerosis (MS). The maps were normalized to a standard brain template using a linear affine registration. The differences of the mean value ofR1, R2 and PD of 31 healthy subjects in comparison to the oldest healthy subject and in comparison to an MS patient were calculated. Larger anatomical structures were characterized using a standard atlas. The vector sum of the normalized differences was used to show significant tissue differences. Results The coefficient of variation of the reference maps was high at the edges of the brain and the ventricles, moderate in the cortical grey matter and low in white matter and the deep grey matter structures. The elderly subject mainly showed significantly lower R1 and R2 and higher PD values along all sulci. The MS patient showed significantly lower R1 and R2 and higher PD values at the edges of the ventricular system as well as throughout the periventricular white matter, at the internal and external capsules and at each of the MS lesions. Conclusion Brain normalization of rapid qMRI is a promising new method to generate reference maps of typical brain characteristics and to automatically detect deviating tissue properties in the brain

The Role of Attorney Fee Shifting in Public Interest Litigation

BACKGROUND: Brain tissue segmentation of white matter (WM), grey matter (GM), and cerebrospinal fluid (CSF) are important in neuroradiological applications. Quantitative Mri (qMRI) allows segmentation based on physical tissue properties, and the dependencies on MR scanner settings are removed. Brain tissue groups into clusters in the three dimensional space formed by the qMRI parameters R1, R2 and PD, and partial volume voxels are intermediate in this space. The qMRI parameters, however, depend on the main magnetic field strength. Therefore, longitudinal studies can be seriously limited by system upgrades. The aim of this work was to apply one recently described brain tissue segmentation method, based on qMRI, at both 1.5 T and 3.0 T field strengths, and to investigate similarities and differences. METHODS: In vivo qMRI measurements were performed on 10 healthy subjects using both 1.5 T and 3.0 T MR scanners. The brain tissue segmentation method was applied for both 1.5 T and 3.0 T and volumes of WM, GM, CSF and brain parenchymal fraction (BPF) were calculated on both field strengths. Repeatability was calculated for each scanner and a General Linear Model was used to examine the effect of field strength. Voxel-wise t-tests were also performed to evaluate regional differences. RESULTS: Statistically significant differences were found between 1.5 T and 3.0 T for WM, GM, CSF and BPF (p<0.001). Analyses of main effects showed that WM was underestimated, while GM and CSF were overestimated on 1.5 T compared to 3.0 T. The mean differences between 1.5 T and 3.0 T were -66 mL WM, 40 mL GM, 29 mL CSF and -1.99% BPF. Voxel-wise t-tests revealed regional differences of WM and GM in deep brain structures, cerebellum and brain stem. CONCLUSIONS: Most of the brain was identically classified at the two field strengths, although some regional differences were observed

How software engineering research aligns with design science: A review

Background: Assessing and communicating software engineering research can be challenging. Design science is recognized as an appropriate research paradigm for applied research but is seldom referred to in software engineering. Applying the design science lens to software engineering research may improve the assessment and communication of research contributions. Aim: The aim of this study is 1) to understand whether the design science lens helps summarize and assess software engineering research contributions, and 2) to characterize different types of design science contributions in the software engineering literature. Method: In previous research, we developed a visual abstract template, summarizing the core constructs of the design science paradigm. In this study, we use this template in a review of a set of 38 top software engineering publications to extract and analyze their design science contributions. Results: We identified five clusters of papers, classifying them according to their alignment with the design science paradigm. Conclusions: The design science lens helps emphasize the theoretical contribution of research output---in terms of technological rules---and reflect on the practical relevance, novelty, and rigor of the rules proposed by the research.Comment: 32 pages, 10 figure

Child Witness Policy: Law Interfacing with Social Science

The number of children testifying in court has posed serious practical and legal problems for the judicial system. One problem confronting the courts is how to protect children from experiencing the psychological trauma resulting from face-to-face confrontation with a defendant who may have physically harmed the child or threatened future harm to the child

C-reactive protein, established risk factors and social inequalities in cardiovascular disease – the significance of absolute versus relative measures of disease

<p>Abstract</p> <p>Background</p> <p>The widespread use of relative scales in socioepidemiological studies has recently been criticized. The criticism is based mainly on the fact that the importance of different risk factors in explaining social inequalities in cardiovascular disease (CVD) varies, depending on which scale is used to measure social inequalities. The present study examines the importance of established risk factors, as opposed to low-grade inflammation, in explaining socioeconomic differences in the incidence of CVD, using both relative and absolute scales.</p> <p>Methods</p> <p>We obtained information on socioeconomic position (SEP), established risk factors (smoking, hypertension, and hyperlipidemia), and low-grade inflammation as measured by high-sensitive (hs) C-reactive protein (CRP) levels, in 4,268 Swedish men and women who participated in the Malmö Diet and Cancer Study (MDCS). Data on first cardiovascular events, i.e., stroke or coronary event (CE), was collected from regional and national registers. Social inequalities were measured in relative terms, i.e., as ratios between incidence rates in groups with lower and higher SEP, and also in absolute terms, i.e., as the absolute difference in incidence rates in groups with lower and higher SEP.</p> <p>Results</p> <p>Those with low SEP had a higher risk of future CVD. Adjustment for risk factors resulted in a rather small reduction in the relative socioeconomic gradient, namely 8% for CRP (≥ 3 mg/L) and 21% for established risk factors taken together. However, there was a reduction of 18% in the absolute socioeconomic gradient when looking at subjects with CRP-levels < 3 mg/L, and of 69% when looking at a low-risk population with no smoking, hypertension, or hyperlipidemia.</p> <p>Conclusion</p> <p>C-reactive protein and established risk factors all contribute to socioeconomic differences in CVD. However, conclusions on the importance of "modern" risk factors (here, CRP), as opposed to established risk factors, in the association between SEP and CVD depend on the scale on which social inequalities are measured. The one-sided use of the relative scale, without including a background of absolute levels of disease, and of what causes disease, can consequently prevent efforts to reduce established risk factors by giving priority to research and preventive programs looking in new directions.</p

Technology Education Is Important for Achieving Sustainable Development

In 2015 all 193 United Nations Member States agreed on 2030 Agenda for Sustainable Development with its 17 Sustainable Development Goals (SDGs) with the purpose to end poverty, ensure prosperity, and protect the planet. Technology and sustainable development are intertwined. The term "double-edged sword" has often been used to describe technology, as it can be both helpful and harmful. But to what extent is technology significant for sustainable development and what content can technology education have in relation to sustainable development? This study examines what technology content can be discerned in the sustainable development goals, SDGs, in order to detect possible content for technology education. The 17 SDGs include 169 targets since every SDG are defined with "Outcome targets" and "means of implementation targets". All 169 SDGs targets were analyzed through content analysis. A category system was developed from the definition of technology by Rossouw et.al (2010) and DiGironimos’s (2011)&nbsp; to discern technology content in the SDGs. The results show that the achievement of each and every 17 Sustainable Development Goals in one way or another relies on our use of technology and our development of technology. Teaching with a sustainability perspective creates meaningful content for technology education, where current news and topics can be a starting point. Such teaching can provide students with necessary knowledge towards making well-grounded decisions based on facts, as both consumers and global citizens

Meeting the burden of self-management : qualitative study investigating the empowering behaviors of patients and informal caregivers

Background: Patient empowerment is an important concept and a movement toward person-centered care of patients with chronic conditions. Nevertheless, to date, most research on empowered patients or informal caregivers has been conducted from a narrow clinical perspective. Such research has mainly focused on how health care professionals can empower patients to increase self-care or compliance with treatment. Research on empowered patient and informal caregiver needs and self-empowering activities is scarce. Objective: We aimed to explore empowering behaviors from a patient and informal caregiver perspective in the context of self-management and to understand how health care can support such behaviors better. Methods: We used an exploratory, qualitative study design. A total of 15 semistructured interviews and 6 focus group interviews were conducted with 48 patients and informal caregivers. We analyzed the interviews using thematic analysis and used a directed content analysis to analyze the focus group interviews. Results: A total of 14 patterns of empowering behaviors were identified that were characterized by several exploratory and influencing activities performed by the participants. The participants expressed a desire to be more active in their care than what is expected and supported by health care professionals. The participants also desired better support for activities imposed on them by health care professionals. Conclusions: To enable a transformation of the health care system to better support self-empowering behaviors, there is a need to develop self-management approaches from a patient and informal caregiver perspective.Vinnova, the Swedish Governmental Agency for Innovation Systems (grant 2017-01221)Forte, the Swedish Research Council for Health, Working Life and Welfare (grant 2016-07324 and grant 2018-01472)Publishe