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Corporatism refers to the tradition of constitutional theories that argue that self-organized bodies, such as universities, churches, or labour unions, are independent and important components of a constitutional order. While in the twentieth-century corporatism became associated primarily with economic actors, a central question in corporatist theory was the broader constitutional status of non-state associations and organizations that had their own political powers to govern their members and engage in quasi-legislative activity. In arguing for the independent legitimacy of such diverse corporate actors, proponents of corporatism were united in criticizing more liberal visions of constitutionalism for its abstraction and formalism. Many corporatist theorists thus advocated a sort of societal constitutionalism, where constitutional norms are embodied in diverse institutions that are more proximate to individuals than the state – ranging from major professional and economic associations to a variety of civil society groups. This chapter analyses corporatism both as a tradition in constitutional theory and as an empirical phenomenon that arose in the interwar and post-war periods. It argues that corporatist ideas can contribute to a theory of democratic constitutionalism that emphasizes the importance of organized collective power, and not just the problem of regulating state coercion or distributing formal rights.
Increased out-of-home consumption may elevate sodium (Na) intake, but self-reported dietary assessments limit evidence. This study explored associations between neighbourhood exposure to fast-food and sit-down restaurants and estimated 24-hour urinary Na excretion.
Design:
A cross-sectional analysis from the ORISCAV-LUX 2 study (2016-2017). 24-hour urinary Na was estimated from a morning spot urine sample using the INTERSALT formula. Spatial access to fast-food and sit-down restaurants was derived from GIS data around participants’ addresses within 800-m and 1000-meter road-network buffers by summing up the inverse of the road-network distance between their residential address and all restaurants within the corresponding buffer size. Multi-adjusted linear models were used to assess the association between spatial access to restaurants and estimated 24-hour urinary Na excretion.
Setting:
Luxembourg
Participants:
Urban adults age over 18 years (n=464).
Results:
Fast-food and sit-down restaurants accounted for 58.5% of total food outlets. Mean 24-hour urinary Na excretion was 3564 mg/d for men and 2493 mg/d for women. Health-conscious eating habits moderated associations between spatial access to fast-food and sit-down restaurants and Na excretion. For participants who did not attach great importance to having a balanced diet, greater spatial access to restaurants, combining both density and accessibility, was associated with increased urinary Na excretion at 800 m (βhighvslow = 259, 95% CI: 47–488) and 1000 m (βhighvslow = 270, 95% CI: 21–520).
Conclusions:
Neighbourhood exposure to fast-food and sit-down restaurants influences sodium intake, especially among individuals with less health-conscious eating habits, potentially exacerbating diet-related health disparities.
Objectives/Goals: To explore the caregivers’ lived experiences related to facilitators of and barriers to effective primary care or neurology follow-up for children discharged from the pediatric emergency department (PED) with headaches. Methods/Study Population: We used the descriptive phenomenology qualitative study design to ascertain caregivers’ lived experiences with making follow-up appointments after their child’s PED visit. We conducted semi-structured interviews with caregivers of children with headaches from 4 large urban PEDs over HIPAA-compliant Zoom conferencing platform. A facilitator/co-facilitator team (JH and SL) guided all interviews, and the audio of which was transcribed using the TRINT software. Conventional content analysis was performed by two coders (JH and AS) to generate new themes, and coding disputes were resolved by team members using Atlas TI (version 24). Results/Anticipated Results: We interviewed a total of 11 caregivers (9 mothers, 1 grandmother, and 1 father). Among interviewees, 45% identified as White non-Hispanic, 45% Hispanic, 9% as African-American, and 37% were publicly insured. Participants described similar experiences in obtaining follow-up care that included long waits to obtain neurology appointments. Participants also described opportunities to overcome wait times that included offering alternative healthcare provider types as well as telehealth options. Last, participants described desired action while awaiting neurology appointments such as obtaining testing and setting treatment plans. Discussion/Significance of Impact: Caregivers perceived time to appointment as too long and identified practical solutions to ease frustrations while waiting. Future research should explore sharing caregiver experiences with primary care providers, PED physicians, and neurologists while developing plans to implement caregiver-informed interventions.
Objectives/Goals: This scoping review examines how socioeconomic status (SES) and sociodemographic status (SDS) disparities are considered in transition interventions for congenital heart disease (CHD) patients. By identifying gaps, it aims to guide future research and interventions to address inequities in transitional care. Methods/Study Population: A systematic search of the literature was performed using PubMed, Scopus, and Web of Science. Literature was searched from January 1990 to October 2024 and revealed 823 articles. Upon initial screening, 71 duplicates, 76 non-SES focused articles, and an additional 128 irrelevant articles were excluded. A total of 548 full-text articles were reviewed. Articles that did not focus on transition interventions for CHD patients were excluded. Studies were analyzed for factors affecting care transitions with special attention to SDS and SES factors. SDS factors were defined as age, gender, race/ethnicity, and geographic location, while SES factors were defined as income level, education, employment status, and access to care. Results/Anticipated Results: Out of 548 articles reviewed, only 18 addressed SES factors, and 10 examined SDS factors in the transition from pediatric to adult care. The most common interventions were patient education (33%), care coordination (29%), and family support (21%), but they lacked tailoring to SES/SDS factors. Patients from low-income households were 50% more likely to experience care discontinuities and 40% less likely to participate in transition programs. Health literacy interventions were generic, overlooking socioeconomic differences. Tailored transition programs are needed to address low health literacy and financial barriers, potentially improving outcomes for disadvantaged patients in rural and underserved areas. Discussion/Significance of Impact: This review exposes the limited focus on SES and SDS disparities in CHD transition interventions. Disadvantaged patients face barriers like limited access to care and low health literacy. Developing tailored programs to address these gaps is crucial for enhancing transitions and improving long-term outcomes for vulnerable CHD patients.
Moffett contends that societies should be considered the “primary” group with respect to their social ramifications. Although intriguing, this claim suffers from insufficient clarity and evidence. Rather, if any group is to be crowned supreme it should surely be the family, with its unique capacity to encourage pro-group behavior, shape other groups, and provide meaning.
Assess the efficacy of staged interventions aimed to reduce inappropriate Clostridioides difficile testing and hospital-onset C. difficile infection (HO-CDI) rates.
Design:
Interrupted time series.
Setting:
Community-based.
Methods/Interventions:
National Healthcare Safety Network (NHSN) C. difficile metrics from January 2019 to November 2022 were analyzed after three interventions at a community-based healthcare system. Interventions included: (1) an electronic medical record (EMR) based hard stop requiring confirming ≥3 loose or liquid stools over 24 h, (2) an infectious diseases (ID) review and approval of testing >3 days of hospital admission, and (3) an infection control practitioner (ICP) reviews combined with switching to a reverse two-tiered clinical testing algorithm.
Results:
After all interventions, the number of C. difficile tests per 1,000 patient-days (PD) and HO-CDI cases per 10,000 PD decreased from 20.53 to 6.92 and 9.80 to 0.20, respectively. The EMR hard stop resulted in a (28%) reduction in the CDI testing rate (adjusted incidence rate ratio ((aIRR): 0.72; 95% confidence interval [CI], 0.53 to 0.96)) and ID review resulted in a (42%) reduction in the CDI testing rate (aIRR: 0.58; 95% CI, 0.42–0.79). Changing to the reverse testing algorithm reduced reported HO-CDI rate by (95%) (cIRR: 0.05; 95% CI; 0.01–0.40).
Conclusions:
Staged interventions aimed at improving diagnostic stewardship were effective in overall reducing CDI testing in a community healthcare system.
Bayesian optimal experiments that maximize the information gained from collected data are critical to efficiently identify behavioral models. We extend a seminal method for designing Bayesian optimal experiments by introducing two computational improvements that make the procedure tractable: (1) a search algorithm from artificial intelligence that efficiently explores the space of possible design parameters, and (2) a sampling procedure which evaluates each design parameter combination more efficiently. We apply our procedure to a game of imperfect information to evaluate and quantify the computational improvements. We then collect data across five different experimental designs to compare the ability of the optimal experimental design to discriminate among competing behavioral models against the experimental designs chosen by a “wisdom of experts” prediction experiment. We find that data from the experiment suggested by the optimal design approach requires significantly less data to distinguish behavioral models (i.e., test hypotheses) than data from the experiment suggested by experts. Substantively, we find that reinforcement learning best explains human decision-making in the imperfect information game and that behavior is not adequately described by the Bayesian Nash equilibrium. Our procedure is general and computationally efficient and can be applied to dynamically optimize online experiments.
The rather heterogeneous state of populism research on Japan and the potentially populist quality of the new political party Reiwa Shinsengumi are the two key points addressed in this paper. Based on a summary of dominant concepts of populism and the pertinent research on Japan I argue for an ideational approach to make Japan more accessible to comparative efforts. Using Reiwa Shinsengumi as an example, I conclude that there is little populism to be found and suggest that future research needs to look for explanations why Japan is apparently different in this respect from other mature liberal democracies.
To assess the impact of a person-centred culturally sensitive approach in primary care on the recognition and discussion of mental distress in refugee youth.
Background:
Refugee minors are at risk for mental health problems. Timely recognition and treatment prevent deterioration. Primary care is the first point of contact where these problems could be discussed. However, primary care staff struggle to discuss mental health with refugees.
Guided by the needs of refugees and professionals we developed and implemented the Empowerment intervention, consisting of a training, guidance and interprofessional collaboration in four general practices in the Netherlands.
Methods:
This mixed-method study consisted of a quantitative cohort study and semi-structured interviews. The intervention was implemented in a stepped wedge design. Patient records of refugee youth and controls were analysed descriptively regarding number of contacts, mental health conversations, and diagnosis, before and after the start of the intervention.
Semi-structured interviews on experiences were held with refugee parents, general practitioners, primary care mental health nurses, and other participants in the local collaboration groups.
Findings:
A total of 152 refugees were included. Discussions about mental health were significantly less often held with refugees than with controls (16 versus 38 discussions/1000 patient-years) but increased substantially, and relatively more than in the control group, to 47 discussions/1000 patient-years (compared to 71 in the controls) after the implementation of the programme.
The intervention was much appreciated by all involved, and professionals in GP felt more able to provide person-centred culturally sensitive care.
Conclusion:
Person-centred culturally sensitive care in general practice, including an introductory meeting with refugees, in combination with interprofessional collaboration, indeed results in more discussions of mental health problems with refugee minors in general practice. Such an approach is assessed positively by all involved and is therefore recommended for broader implementation and assessment.
Shifting to cycling in urban areas reduces greenhouse gas emissions and improves public health. Access to street-level data on bicycle traffic would assist cities in planning targeted infrastructure improvements to encourage cycling and provide civil society with evidence to advocate for cyclists’ needs. Yet, the data currently available to cities and citizens often only comes from sparsely located counting stations. This paper extrapolates bicycle volume beyond these few locations to estimate street-level bicycle counts for the entire city of Berlin. We predict daily and average annual daily street-level bicycle volumes using machine-learning techniques and various data sources. These include app-based crowdsourced data, infrastructure, bike-sharing, motorized traffic, socioeconomic indicators, weather, holiday data, and centrality measures. Our analysis reveals that crowdsourced cycling flow data from Strava in the area around the point of interest are most important for the prediction. To provide guidance for future data collection, we analyze how including short-term counts at predicted locations enhances model performance. By incorporating just 10 days of sample counts for each predicted location, we are able to almost halve the error and greatly reduce the variability in performance among predicted locations.
Partial remission after major depressive disorder (MDD) is common and a robust predictor of relapse. However, it remains unclear to which extent preventive psychological interventions reduce depressive symptomatology and relapse risk after partial remission. We aimed to identify variables predicting relapse and to determine whether, and for whom, psychological interventions are effective in preventing relapse, reducing (residual) depressive symptoms, and increasing quality of life among individuals in partial remission. This preregistered (CRD42023463468) systematic review and individual participant data meta-analysis (IPD-MA) pooled data from 16 randomized controlled trials (n = 705 partial remitters) comparing psychological interventions to control conditions, using 1- and 2-stage IPD-MA. Among partial remitters, baseline clinician-rated depressive symptoms (p = .005) and prior episodes (p = .012) predicted relapse. Psychological interventions were associated with reduced relapse risk over 12 months (hazard ratio [HR] = 0.60, 95% confidence interval [CI] 0.43–0.84), and significantly lowered posttreatment depressive symptoms (Hedges’ g = 0.29, 95% CI 0.04–0.54), with sustained effects at 60 weeks (Hedges’ g = 0.33, 95% CI 0.06–0.59), compared to nonpsychological interventions. However, interventions did not significantly improve quality of life at 60 weeks (Hedges’ g = 0.26, 95% CI -0.06 to 0.58). No moderators of relapse prevention efficacy were found. Men, older individuals, and those with higher baseline symptom severity experienced greater reductions in symptomatology at 60 weeks. Psychological interventions for individuals with partially remitted depression reduce relapse risk and residual symptomatology, with efficacy generalizing across patient characteristics and treatment types. This suggests that psychological interventions are a recommended treatment option for this patient population.
This chapter gives an overview of data-driven methods applied to turbulence closure modeling for coarse graining. A non-exhaustive introduction of the various data-driven approaches that have been used in the context of closure modeling is provided which includes a discussion of model consistency, which is the ultimate indicator of a successful model, and other key concepts. More details are then presented for two specific methods, one a neural-network representative of nontransparent black-box approaches and one specific type of evolutionary algorithm representative of transparent approaches yielding explicit mathematical expressions. The importance of satisfying physical constraints is emphasized and methods to choose the most relevant input features are suggested. Several recent applications of data-driven methods to subgrid closure modeling are discussed, both for nonreactive and reactive flow configurations. The chapter is concluded with current trends and an assessment of what can be realistically expected of data-driven methods for coarse graining.
Plastics in the environment have moved from an “eye-sore” to a public health threat. Hospitals are one of the biggest users of single-use plastics, and there is growing literature looking at not only plastics in the environment but health care’s overall contribution to its growth.
Methods
This study was a retrospective review at a 411-bed level II trauma hospital over 47 months pre and post the last wave of COVID-19 affecting this hospital. Deidentified data were gathered: daily census in the emergency department, hospital census, and corresponding number of admitted COVID-19 patients. Additionally, for the same time frame, personal protective equipment (PPE) supply purchases and gross tonnage of nonhazardous refuse were obtained.
Results
There was a large increase in PPE purchased without a significant change in gross tonnage of weight of trash.
Conclusions
PPE is incredibly important to protect health care workers. However, single-use plastic is not sustainable for the environment or public health. Understanding the full effect of the pandemic on hospital waste production is critically important as health care institutions focus on strategies to decrease their carbon footprint and increase positive impacts on public health and the environment.
The Geneva Declaration on Human Rights at Sea is a recent initiative of the non-governmental organization (NGO), Human Rights at Sea, and provides an opportunity to examine how an NGO-led initiative may contribute to international law-making. This article compares the Geneva Declaration to other NGO-led endeavours that resulted in the adoption of international treaties, including the Ottawa Convention, Cluster Munitions Convention, and Nuclear Weapon Ban Treaty. It also assesses how NGOs may contribute to the development of informal agreements that influence state decision-making. In doing so, the discussion draws on interviews with the drafters of the Geneva Declaration to further assess the possible trajectory of the instrument in international law-making. The experience of Human Rights at Sea in developing the Geneva Declaration provides a striking example of the current potential and limits of civil society actors in international law-making.
The East Asian democracies (EAD) of Japan, South Korea and Taiwan have received little attention from the international political science community working on populism. By analyzing the last two to three decades of research on EAD we look for clues to help us explain why there is so little interest. In our review we encounter cases of eclectic conceptualization, suboptimal data, innovative categorization, binary analytics, and even political bias, all of which may weaken the persuasiveness of the respective research in the eyes of critical colleagues. Our key finding, however, is that all studies on EAD implicitly refer to local political standards as the baseline from which alleged populist behavior is identified and labeled. In direct comparison, the populist characteristics of East Asian politicians appear to be less pronounced than those of sledgehammer populists like Donald Trump, Hugo Chavez, or Boris Johnson. Consequently, scholars working on the latter may be less curious about the former. Our findings, therefore, confront us with the question of what to use as a baseline for the measurement of potentially populist phenomena. We argue for the application of what is locally considered standard political behavior and conclude that such a practice has the potential to draw more attention to cases from Japan, South Korea, and Taiwan.
This study investigates whether lower self-regulation (SR) facets are risk factors for internalizing symptoms (vulnerability models), consequences of these symptoms (scar models), or develop along the same continuum and thus share common causes (spectrum models) during middle childhood. To analyze these models simultaneously, a random intercept cross-lagged panel model was estimated using Mplus. Data were assessed at three measurement time points in a community-based sample of N = 1657 (52.2% female) children in Germany, aged 6–13. Internalizing symptoms were measured via parent report by the emotional problems scale of the Strengths and Difficulties Questionnaire. Seven SR facets were assessed behaviorally, via parent report and teacher report. At the within-person level, internalizing symptoms were concurrently associated with emotional reactivity at all measurement time points, while no cross-lagged paths reached significance. At the between-person level, internalizing symptoms were associated with working memory updating (r = −.29, p < .001), inhibitory control (r = −.29, p < .001), planning behavior (r = −.49, p < .001), and emotional reactivity (r = .59, p < .001). As internalizing symptoms and SR facets were primarily associated at the between-person level, the results lend support to spectrum models suggesting common causes of internalizing symptoms and impaired SR.
Clinical trials for assessing the effects of infection prevention and control (IPC) interventions are expensive and have shown mixed results. Mathematical models can be relatively inexpensive tools for evaluating the potential of interventions. However, capturing nuances between institutions and in patient populations have adversely affected the power of computational models of nosocomial transmission.
Methods:
In this study, we present an agent-based model of ICUs in a tertiary care hospital, which directly uses data from the electronic medical records (EMR) to simulate pathogen transmission between patients, HCWs, and the environment. We demonstrate the application of our model to estimate the effects of IPC interventions at the local hospital level. Furthermore, we identify the most important sources of uncertainty, suggesting areas for prioritization in data collection.
Results:
Our model suggests that the stochasticity in ICU infections was mainly due to the uncertainties in admission prevalence, hand hygiene compliance/efficacy, and environmental disinfection efficacy. Analysis of interventions found that improving mean HCW compliance to hand hygiene protocols to 95% from 70%, mean terminal room disinfection efficacy to 95% from 50%, and reducing post-handwashing residual contamination down to 1% from 50%, could reduce infections by an average of 36%, 31%, and 26%, respectively.
Conclusions:
In-silico models of transmission coupled to EMR data can improve the assessment of IPC interventions. However, reducing the uncertainty of the estimated effectiveness requires collecting data on unknown or lesser known epidemiological and operational parameters of transmission, particularly admission prevalence, hand hygiene compliance/efficacy, and environmental disinfection efficacy.
Few issues remain as fraught as the relationship between European integration and national welfare states. For too long, Social Europe was an afterthought, relegated to the soft domain of the open method of coordination, while the formation of the single market proceeded with the full force of European law and institutions. Since the 2008 financial crisis, the social has returned—not just in Europe, but in all regions grappling with what comes after neo-liberalism. In this response, I turn to Christian Joerges’s seminal articulation of the conflict of laws as Europe’s constitutional form as a contribution to this current theoretical task. Central here has been how Joerges has staged a dialogue between theories of European law and the critique of the market order developed by the Hungarian philosopher and social theorist Karl Polanyi. I argue that Joerges picks up on democratic undercurrents in Polanyi’s theory that move beyond the opposition between nationally bounded welfare states and transnational private economic rights. Rather, we can see the social as a domain of multi-level democratic conflict mediation. While Joerges respects the ordoliberal vision of an economic constitution, he draws attention to their democratic deficits. Indeed, both the ordoliberals and Polanyi would reject the EU’s technocratic instrumentalisation of the market as a device for restructuring national social systems in a way that both deformalises European law and undermines its democratic legitimacy. I conclude with some speculative remarks about how the EU could be seen as introducing new dimensions of conflict into an emerging post-neoliberal order.