Healthcare and Hunger: Impacts of the Affordable Care Act on Food Insecurity in America

This paper describes how the Medicaid expansions associated with the Patient Protection and Affordable Care Act of 2010 influenced the ability of households to purchase adequate food. This paper also closely examines the role of the Supplemental Nutrition Assistance Program in meeting food needs, and whether multiple program participation affects food insecurity outcomes

ESSAYS ON TRANSFER-PROGRAM INTERACTIONS AMONG LOW-INCOME HOUSEHOLDS

This dissertation consists of three essays examining the role of transfer-program interactions for families and households who participate in the social safety net. The safety net is comprised of many different programs, run by different agencies, governed by different rules, and often administered by disparate and secluded entities. However, many households participate in multiple programs, subjecting them to the milieu of administrative hurdles. In this dissertation, I try to untangle some of the intended and unintended effects of program participation that may be experienced by these households. In Essay 1, I examine the effect of the Patient Protection and Affordable Care Act of 2010 (ACA) on food hardship in US households, utilizing food security information from the Food Security Supplement of the Current Population Survey. Because states adopted the Medicaid expansions provided under the ACA at different times beginning in 2014, the cross-state, over time variation allows me to separate the impact of the ACA on food hardship using triple difference specifications. The richness of questions in the Food Security Supplement allows me to examine the effect of the ACA across different measures of food hardship, and also examine differential response for households participating in the Supplemental Nutrition Assistance Program (SNAP). Examining the mechanisms through which the ACA could affect food insecurity, I find the ACA not only increased average weekly food expenditure, but also the probability a household participates in SNAP. I employ a two-stage, control function approach to address reverse causality between SNAP and food insecurity. I find that the ACA reduced the probability that a household participating in SNAP falls into the two lowest food security categories by 6.5 percentage points and reduced the probability of being food insecure by 14.2 percentage points. Across specifications, I find strong evidence for increasing returns to program participation, and evidence of a differential impact of the ACA across the distribution of food hardship. In Essay 2, I examine how grant funding and fiscal structure affect program response over the business cycle. I compare child enrollment in Medicaid, a matching grant funding program, with enrollment the State Children\u27s Health Insurance Program, a block grant funded program, utilizing the similarities in beneficiaries, program benefits, and administration to isolate the impact of fiscal structure. I utilize administrative enrollment records, along with individual level participation data, and find a one percentage point increase in the unemployment rate leads to a 7.6% decrease in the number of beneficiaries per person enrolled in block grant funded programs, and a 10% decrease in state expenditure per person decreases the probability of enrollment in a block grant program by 0.58 percentage points. I also find that enrollment is much more persistent among matching grant funded programs, and being enrolled in a block grant funded program the previous period increases the probability of enrolling in a matching grant program this period 75% more than remaining enrolled in the block grant funded program. Finally, in Essay 3 I explore the effect of the minimum wage on the self-reported value of public assistance program benefits, and the joint effect of the minimum wage and public assistance programs on the income to poverty ratio using data from the 1995-2016 Current Population Survey Annual Social and Economic Supplement. In the first stage, I estimate a Tobit model controlling for the censoring of received benefits from below at zero, and examine the effect of changes in the minimum wage on the self-reported dollar value of benefits received for food stamps/the Supplemental Nutrition Assistance Program (SNAP), Aid to Families with Dependent Children (AFDC)/Temporary Assistance to Needy Families (TANF), Supplemental Security Income (SSI), and the Earned Income Tax Credit (EITC), as well as the total sum of benefits. I find that the minimum wage reduces the value of means-tested benefits, but that this effect is strongest for programs with strong work requirements. Utilizing the residuals from the first stage, I employ a control function approach to estimate the joint effect of the minimum wage and program benefits on the income to poverty ratio. I find the own-effect of the minimum wage provides a small increase in the income to poverty ratio, but that the total effect, accounting for changes in benefits, attenuates by approximately 30%

A consensus parameter for the evaluation and management of angioedema in the emergency department

Despite its relatively common occurrence and life-threatening potential, the management of angioedema in the emergency department (ED) is lacking in terms of a structured approach. It is paramount to distinguish the different etiologies of angioedema from one another and more specifically differentiate histaminergic-mediated angioedema from bradykinin-mediated angioedema, especially in lieu of the more novel treatments that have recently become available for bradykinin-mediated angioedema. With this background in mind, this consensus parameter for the evaluation and management of angioedema attempts to provide a working framework for emergency physicians (EPs) in approaching the patient with angioedema in terms of diagnosis and management in the ED. This consensus parameter was developed from a collaborative effort among a group of EPs and leading allergists with expertise in angioedema. After rigorous debate, review of the literature, and expert opinion, the following consensus guideline document was created. The document has been endorsed by the American College of Allergy, Asthma & Immunology (ACAAI) and the Society for Academic Emergency Medicine (SAEM)

Intravenous Cetirizine Versus Intravenous Diphenhydramine for the Treatment of Acute Urticaria: A Phase III Randomized Controlled Noninferiority Trial

STUDY OBJECTIVE: Acute urticaria is a frequent presentation in emergency departments (EDs), urgent care centers, and other clinical arenas. Treatment options are limited if diphenhydramine is the only intravenous antihistamine offered because of its short duration of action and well-known adverse effects. We evaluate cetirizine injection, the first second-generation injectable antihistamine, for acute urticaria in this multicenter, randomized, noninferiority, phase 3 clinical trial. METHODS: Adult patients presenting to EDs and urgent care centers with acute urticaria requiring an intravenous antihistamine were randomized to either intravenous cetirizine 10 mg or intravenous diphenhydramine 50 mg. The primary endpoint was the 2-hour pruritus score change from baseline, with time spent in treatment center and rate of return to treatment centers as key secondary endpoints. Frequency of sedation and anticholinergic adverse effects were also recorded. RESULTS: Among 262 enrolled patients, the 2-hour pruritus score change from baseline for intravenous cetirizine was statistically noninferior to that for intravenous diphenhydramine (-1.6 versus -1.5; 95% confidence interval -0.1 to 0.3), and in favor of cetirizine. Treatment differences also favored cetirizine for mean time spent in treatment center (1.7 versus 2.1 hours; P=.005), return to treatment center (5.5% versus 14.1%; P=.02), lower change from baseline sedation score at 2 hours (0.1 versus 0.5; P=.03), and adverse event rate (3.9% versus 13.3%). CONCLUSION: Intravenous cetirizine is an effective alternative to intravenous diphenhydramine for treating acute urticaria, with benefits of less sedation, fewer adverse events, shorter time spent in treatment center, and lower rates of revisit to treatment center

Clinical severity classes in COVID-19 pneumonia have distinct immunological profiles, facilitating risk stratification by machine learning

ObjectiveClinical triage in coronavirus disease 2019 (COVID-19) places a heavy burden on senior clinicians during a pandemic situation. However, risk stratification based on serum biomarker bioprofiling could be implemented by a larger, nonspecialist workforce.MethodMeasures of Complement Activation and inflammation in patientS with CoronAvirus DisEase 2019 (CASCADE) patients (n = 72), (clinicaltrials.gov: NCT04453527), classified as mild, moderate, or severe (by support needed to maintain SpO2 > 93%), and healthy controls (HC, n = 20), were bioprofiled using 76 immunological biomarkers and compared using ANOVA. Spearman correlation analysis on biomarker pairs was visualised via heatmaps. Linear Discriminant Analysis (LDA) models were generated to identify patients likely to deteriorate. An X-Gradient-boost (XGB) model trained on CASCADE data to triage patients as mild, moderate, and severe was retrospectively employed to classify COROnavirus Nomacopan Emergency Treatment for covid 19 infected patients with early signs of respiratory distress (CORONET) patients (n = 7) treated with nomacopan.ResultsThe LDA models distinctly discriminated between deteriorators, nondeteriorators, and HC, with IL-27, IP-10, MDC, ferritin, C5, and sC5b-9 among the key predictor variables during deterioration. C3a and C5 were elevated in all severity classes vs. HC (p < 0.05). sC5b-9 was elevated in the “moderate” and “severe” categories vs. HC (p < 0.001). Heatmap analysis shows a pairwise increase of negatively correlated pairs with IL-27. The XGB model indicated sC5b-9, IL-8, MCP1, and prothrombin F1 and F2 were key discriminators in nomacopan-treated patients (CORONET study).ConclusionDistinct immunological fingerprints from serum biomarkers exist within different severity classes of COVID-19, and harnessing them using machine learning enabled the development of clinically useful triage and prognostic tools. Complement-mediated lung injury plays a key role in COVID-19 pneumonia, and preliminary results hint at the usefulness of a C5 inhibitor in COVID-19 recovery

ARTEFACTS: How do we want to deal with the future of our one and only planet?

The European Commission’s Science and Knowledge Service, the Joint Research Centre (JRC), decided to try working hand-in-hand with leading European science centres and museums. Behind this decision was the idea that the JRC could better support EU Institutions in engaging with the European public. The fact that European Union policies are firmly based on scientific evidence is a strong message which the JRC is uniquely able to illustrate. Such a collaboration would not only provide a platform to explain the benefits of EU policies to our daily lives but also provide an opportunity for European citizens to engage by taking a more active part in the EU policy making process for the future. A PILOT PROGRAMME To test the idea, the JRC launched an experimental programme to work with science museums: a perfect partner for three compelling reasons. Firstly, they attract a large and growing number of visitors. Leading science museums in Europe have typically 500 000 visitors per year. Furthermore, they are based in large European cities and attract local visitors as well as tourists from across Europe and beyond. The second reason for working with museums is that they have mastered the art of how to communicate key elements of sophisticated arguments across to the public and making complex topics of public interest readily accessible. That is a high-value added skill and a crucial part of the valorisation of public-funded research, never to be underestimated. Finally museums are, at present, undergoing something of a renaissance. Museums today are vibrant environments offering new techniques and technologies to both inform and entertain, and attract visitors of all demographics.JRC.H.2-Knowledge Management Methodologies, Communities and Disseminatio

The Germans in Canada : occupational and social adjustment of German immigrants in Canada.

Recently men prominent in the public life of Canada and Great Britain have made pronouncements which point to a renewed interest in immigration. The author suspects that frequently neither the speaker nor his audience have very specific knowledge either of the peoples already in Canada or the population requirements of the country. Such literature as exists on this subject is very fragmentary and unscientific for the most part* It is as a contribution to the knowledge in this field that the present study of Germans in Canada is being submitted* The body of the study divides itself naturally into three main sections, each of which is complete in itself* Part I is a general section treating the population structure of Canada, German backgrounds and the distribution of Germans in Canada* The two sections of part II are two case studies of German immigrants in two areas, the first section treating a German group in a rural setting, the second a group in a metropolitan centre.[...

WISE and 2MASS Data for Sources in the Perseus Region

The PSQL database named 'perseus1' was created for an independent research course, Physics 90r, in the fall and winter of 2013. It contains four tables, two of which are used in the accompanying iPython Notebook file. The iPython notebook details the creation of the database, demonstrates the use of the psycopg2 module to query the database, and some visualizations of those queries