Hit-and-run or hit-and-stay? Unintended effects of a stricter BAC limit.

Although they comprise a relatively small subset of all traffic deaths, hit-and-run (HR) fatalities are both contemptible and preventable. We analyze longitudinal data from 1982 to 2008 to examine the effects of blood alcohol concentration (BAC) laws on HR traffic fatalities. Our results suggest that lower BAC limits may have an unintended consequence of increasing HR fatalities, whereas a similar effect is absent for non-HR fatalities. Specifically, we find that the adoption of a 0.08 BAC limit is associated to an 8.3% increase in HR fatalities. This unintended effect is more pronounced in urban areas and during weekends, which are typical settings for HR incidents.

Are the European reference networks for rare diseases ready to embrace machine learning? A mixed-methods study.

BACKGROUND: The delay in diagnosis for rare disease (RD) patients is often longer than for patients with common diseases. Machine learning (ML) technologies have the potential to speed up and increase the precision of diagnosis in this population group. We aim to explore the expectations and experiences of the members of the European Reference Networks (ERNs) for RDs with those technologies and their potential for application. METHODS: We used a mixed-methods approach with an online survey followed by a focus group discussion. Our study targeted primarily medical professionals but also other individuals affiliated with any of the 24 ERNs. RESULTS: The online survey yielded 423 responses from ERN members. Participants reported a limited degree of knowledge of and experience with ML technologies. They considered improved diagnostic accuracy the most important potential benefit, closely followed by the synthesis of clinical information, and indicated the lack of training in these new technologies, which hinders adoption and implementation in routine care. Most respondents supported the option that ML should be an optional but recommended part of the diagnostic process for RDs. Most ERN members saw the use of ML limited to specialised units only in the next 5 years, where those technologies should be funded by public sources. Focus group discussions concluded that the potential of ML technologies is substantial and confirmed that the technologies will have an important impact on healthcare and RDs in particular. As ML technologies are not the core competency of health care professionals, participants deemed a close collaboration with developers necessary to ensure that results are valid and reliable. However, based on our results, we call for more research to understand other stakeholders' opinions and expectations, including the views of patient organisations. CONCLUSIONS: We found enthusiasm to implement and apply ML technologies, especially diagnostic tools in the field of RDs, despite the perceived lack of experience. Early dialogue and collaboration between health care professionals, developers, industry, policymakers, and patient associations seem to be crucial to building trust, improving performance, and ultimately increasing the willingness to accept diagnostics based on ML technologies.

Genetic newborn screening and digital technologies: A project protocol based on a dual approach to shorten the rare diseases diagnostic path in Europe.

Since 72% of rare diseases are genetic in origin and mostly paediatrics, genetic newborn screening represents a diagnostic "window of opportunity". Therefore, many gNBS initiatives started in different European countries. Screen4Care is a research project, which resulted of a joint effort between the European Union Commission and the European Federation of Pharmaceutical Industries and Associations. It focuses on genetic newborn screening and artificial intelligence-based tools which will be applied to a large European population of about 25.000 infants. The neonatal screening strategy will be based on targeted sequencing, while whole genome sequencing will be offered to all enrolled infants who may show early symptoms but have resulted negative at the targeted sequencing-based newborn screening. We will leverage artificial intelligence-based algorithms to identify patients using Electronic Health Records (EHR) and to build a repository "symptom checkers" for patients and healthcare providers. S4C will design an equitable, ethical, and sustainable framework for genetic newborn screening and new digital tools, corroborated by a large workout where legal, ethical, and social complexities will be addressed with the intent of making the framework highly and flexibly translatable into the diverse European health systems.

Towards Achieving Equity and Innovation in Newborn Screening across Europe.

Although individual rare disorders are uncommon, it is estimated that, together, 6000+ known rare diseases affect more than 30 million people in Europe, and present a substantial public health burden. Together with the psychosocial burden on affected families, rare disorders frequently, if untreated, result in a low quality of life, disability and even premature death. Newborn screening (NBS) has the potential to detect a number of rare conditions in asymptomatic children, providing the possibility of early treatment and a significantly improved long-term outcome. Despite these clear benefits, the availability and conduct of NBS programmes varies considerably across Europe and, with the increasing potential of genomic testing, it is likely that these differences may become even more pronounced. To help improve the equity of provision of NBS and ensure that all children can be offered high-quality screening regardless of race, nationality and socio-economic status, a technical meeting, endorsed by the Slovenian Presidency of the Council of the European Union, was held in October 2021. In this article, we present experiences from individual EU countries, stakeholder initiatives and the meeting's final conclusions, which can help countries attempting to establish new NBS programmes or expand existing provision.

Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases.

For the first time in Europe hundreds of rare disease (RD) experts team up to actively share and jointly analyse existing patient's data. Solve-RD is a Horizon 2020-supported EU flagship project bringing together >300 clinicians, scientists, and patient representatives of 51 sites from 15 countries. Solve-RD is built upon a core group of four European Reference Networks (ERNs; ERN-ITHACA, ERN-RND, ERN-Euro NMD, ERN-GENTURIS) which annually see more than 270,000 RD patients with respective pathologies. The main ambition is to solve unsolved rare diseases for which a molecular cause is not yet known. This is achieved through an innovative clinical research environment that introduces novel ways to organise expertise and data. Two major approaches are being pursued (i) massive data re-analysis of >19,000 unsolved rare disease patients and (ii) novel combined -omics approaches. The minimum requirement to be eligible for the analysis activities is an inconclusive exome that can be shared with controlled access. The first preliminary data re-analysis has already diagnosed 255 cases form 8393 exomes/genome datasets. This unprecedented degree of collaboration focused on sharing of data and expertise shall identify many new disease genes and enable diagnosis of many so far undiagnosed patients from all over Europe.

Death on the job: The Great Recession and work-related traffic fatalities.

In light of recent discussions about shifting employees from traditional workplaces to virtual employment, we are motivated by the question of whether this phenomenon will end up saving lives even in the absence of an infectious disease outbreak. Motor vehicle incidents are the leading cause of work-related fatalities in the US, killing more than 1200 workers each year, which make up about a quarter of all work-related deaths. Not only are motor vehicle crashes the top killer at work, but economic expansions can further increase occupational and traffic deaths as they both tend to be procyclical. In this paper, we examine the effects of business cycles on traffic fatalities in the US with a special focus on work-related deaths. Specifically, we implement a longitudinal design across all 50 states by compiling quarterly data for 2004-2012 and consider macroeconomic fluctuations around the Great Recession. Our findings show that traffic deaths during prosperous times are not solely due to an increase in risky behaviors such as drunk driving, but directly related to work. Given the highly preventable nature of traffic crashes, policy makers, public health advocates, and employers can develop effective strategies, including remote work arrangements, to improve both occupational and traffic safety.

A guide to writing systematic reviews of rare disease treatments to generate FAIR-compliant datasets: building a Treatabolome.

BACKGROUND: Rare diseases are individually rare but globally affect around 6% of the population, and in over 70% of cases are genetically determined. Their rarity translates into a delayed diagnosis, with 25% of patients waiting 5 to 30 years for one. It is essential to raise awareness of patients and clinicians of existing gene and variant-specific therapeutics at the time of diagnosis to avoid that treatment delays add up to the diagnostic odyssey of rare diseases' patients and their families. AIMS: This paper aims to provide guidance and give detailed instructions on how to write homogeneous systematic reviews of rare diseases' treatments in a manner that allows the capture of the results in a computer-accessible form. The published results need to comply with the FAIR guiding principles for scientific data management and stewardship to facilitate the extraction of datasets that are easily transposable into machine-actionable information. The ultimate purpose is the creation of a database of rare disease treatments ("Treatabolome") at gene and variant levels as part of the H2020 research project Solve-RD. RESULTS: Each systematic review follows a written protocol to address one or more rare diseases in which the authors are experts. The bibliographic search strategy requires detailed documentation to allow its replication. Data capture forms should be built to facilitate the filling of a data capture spreadsheet and to record the application of the inclusion and exclusion criteria to each search result. A PRISMA flowchart is required to provide an overview of the processes of search and selection of papers. A separate table condenses the data collected during the Systematic Review, appraised according to their level of evidence. CONCLUSIONS: This paper provides a template that includes the instructions for writing FAIR-compliant systematic reviews of rare diseases' treatments that enables the assembly of a Treatabolome database that complement existing diagnostic and management support tools with treatment awareness data.

Maternal Mortality and Public Health Programs: Evidence from Florida.

Policy Points US maternal mortality rates (MMRs) display considerable racial disparities and exceed those of other developed countries. While worldwide MMRs have dropped sharply since the 1990s, the US MMR appears to be rising. We provide strong evidence of the effectiveness of pregnancy-related public health spending on improvements in maternal health. Using longitudinal data from Florida counties, we found that spending on public health significantly reduced the MMR among black mothers and narrowed black-white outcome disparities. Each 10% increase in pregnancy-related public health expenditures was associated with a 13.5% decline in MMR among blacks and a 20.0% reduction in black-white disparities. CONTEXT: Maternal mortality rates in the United States exceed those of other developed countries. Moreover, these rates show considerable racial disparities, in which black mothers are at three to four times the risk compared with their white counterparts. With more than half of all maternal deaths deemed to be preventable, public health interventions have the potential to improve maternal health along with other pregnancy outcomes. This rigorous longitudinal study examines the impact of a package of pregnancy-related public health programs on maternal mortality rates. METHODS: We analyzed administrative data on pregnancy-related public health expenditures, maternal mortality rates, and sociodemographic factors from all 67 Florida counties between 2001 and 2014. Florida provides consistent counts of maternal deaths for the entire period of this analysis. We estimated both fixed-effects ordinary least squares regressions (OLS) and generalized method of moments (GMM) models. GMM enabled us to identify the impact of public health expenditures on maternal mortality rates while also addressing both potential endogeneity and serial correlation problems. We also provide a series of robustness and falsification tests. FINDINGS: Overall, a 10% increase in targeted public health expenditures led to a weakly significant decline in overall maternal mortality rates of 3.9%. The estimated effect for white mothers was not statistically significant. However, we found statistically significant improvements for black mothers. Specifically, a 10% increase in pregnancy-related public health spending led to a 13.5% decline in maternal mortality rates among black mothers and a 20.0% reduction in the black-white maternal mortality gap. CONCLUSIONS: Our analysis provides strong evidence of the effectiveness of public health programs in reducing maternal mortality rates and addressing racial disparities.

The heme and radical scavenger α1-microglobulin (A1M) confers early protection of the immature brain following preterm intraventricular hemorrhage.

BACKGROUND: Germinal matrix intraventricular hemorrhage (GM-IVH) is associated with cerebro-cerebellar damage in very preterm infants, leading to neurodevelopmental impairment. Penetration, from the intraventricular space, of extravasated red blood cells and extracellular hemoglobin (Hb), to the periventricular parenchyma and the cerebellum has been shown to be causal in the development of brain injury following GM-IVH. Furthermore, the damage has been described to be associated with the cytotoxic nature of extracellular Hb-metabolites. To date, there is no therapy available to prevent infants from developing either hydrocephalus or serious neurological disability. Mechanisms previously described to cause brain damage following GM-IVH, i.e., oxidative stress and Hb-metabolite toxicity, suggest that the free radical and heme scavenger α1-microglobulin (A1M) may constitute a potential neuroprotective intervention. METHODS: Using a preterm rabbit pup model of IVH, where IVH was induced shortly after birth in pups delivered by cesarean section at E29 (3 days prior to term), we investigated the brain distribution of recombinant A1M (rA1M) following intracerebroventricular (i.c.v.) administration at 24 h post-IVH induction. Further, short-term functional protection of i.c.v.-administered human A1M (hA1M) following IVH in the preterm rabbit pup model was evaluated. RESULTS: Following i.c.v. administration, rA1M was distributed in periventricular white matter regions, throughout the fore- and midbrain and extending to the cerebellum. The regional distribution of rA1M was accompanied by a high co-existence of positive staining for extracellular Hb. Administration of i.c.v.-injected hA1M was associated with decreased structural tissue and mitochondrial damage and with reduced mRNA expression for proinflammatory and inflammatory signaling-related genes induced by IVH in periventricular brain tissue. CONCLUSIONS: The results of this study indicate that rA1M/hA1M is a potential candidate for neuroprotective treatment following preterm IVH.

Watch for motorcycles! The effects of texting and handheld bans on motorcyclist fatalities.

Motorcyclists account for a much higher proportion of traffic fatalities relative to the share of motorcycles among all motor vehicles and vehicle miles driven in the U.S. In this paper, we posit that motorcyclists may be particularly vulnerable to the risks of distracted driving by others. Specifically, we examine whether state-specific texting/handheld bans significantly influence motorcyclist fatalities in the U.S. We use state-specific traffic fatality data in the U.S. (2005-2015, N = 550) from the Fatality Analysis Reporting System (FARS) merged with state-specific characteristics, texting/handheld device laws, and other traffic policies. Although research is mixed on the effectiveness of texting/handheld bans for overall traffic fatalities, our findings indicate that motorcyclists are at elevated risk of being a victim of distracted driving and thus could greatly benefit from these policies. This result is driven mainly by multiple-vehicle crashes (e.g., car hitting motorcycle) as opposed to single-vehicle crashes. Policy makers should consider strengthening texting/handheld bans along with their enforcement to improve safety and save lives, especially among motorcyclists. .

Effectiveness of public health spending on infant mortality in Florida, 2001-2014.

Studies investigating the effectiveness of public health spending typically face two major challenges. One is the lack of data on individual program spending, which restricts researchers to rely on aggregate expenditures. The other is the failure to address issues of endogeneity and serial correlation between health outcomes and spending. In this study, we demonstrate that the use of specific spending items as opposed to overall spending, combined with Generalized Method of Moments estimation techniques can do a far better job in revealing the effectiveness of public health services on health outcomes. As an example, we consider the effects of infant-related public health programs on infant mortality rates. Focus on programs expressly related to maternal and infant health was made possible by a unique longitudinal dataset from the Florida Department of Health containing information for all 67 Florida counties spanning 2001 through 2014. Our empirical methodology, by addressing potential endogeneity issues along with serial correlation, allows us to estimate the causal impact of specific public health investments in maternal and infant-related programs on infant mortality. We find that a 10 percent increase in targeted public health spending per infant leads to a 2.07 percent decrease in infant mortality rates. We also find that targeted spending may be more effective in reducing infant mortality among blacks than among whites. The use of targeted spending data along with the Generalized Method of Moments technique can provide stronger evidence to guide future resource allocation and policy decisions in public health.

Chemical characterization of surface snow in Istanbul (NW Turkey) and their association with atmospheric circulations.

The understanding of the impurities in natural snow is important in realizing its atmospheric quality, soil characteristics, and the pollution caused to the environment. Knowledge of the occurrence of major ions and trace metals in the snow in the megacity of Istanbul is very limited. This manuscript attempts to understand the origin of major soluble ions (fluoride, acetate, formate, chlorite, chloride, nitrite, chlorate, bromide, nitrate, sulfate, phosphate, and perchlorate) and some trace metals (Fe, Mn, Cd, Co, Ni, Pb, Zn, Cu) in winter surface snow, collected in Istanbul, Turkey. The sampling of the surface snow was conducted after each precipitation during the winter of 2015-2016 at three sites in the city. Besides the statistical evaluation of the major ions, and some trace metal concentrations, the chemical variations along with atmospheric circulations, which are important modification mechanisms that influence the concentrations, were investigated in the study. At examined locations and times, 12 major anions were investigated and in these anions fluoride, chlorite, chlorate, bromide, and perchlorate in the snow samples were below the detection limit; only SO42-, NO3-, and CI- were found to be in the range of 1.11-17.90, 0.75-4.52, and 0.19-3.01 mg/L. Also, according to the trace element determination, the concentration was found to be 29.2-53.7, 2.0-16.1, 1.0-2.2, 50.1-71.1, 24.2-35.2, ND-7.9, 43.2-106.6, and 3.0-17.7 µg/L for Fe, Mn, Cd, Co, Ni, Pb, Zn, and Cu, respectively. The major anions and investigated trace elements here originated mainly from anthropogenic and atmospheric circulation and mainly influenced by northerly and southerly circulation patterns. While the main limitations in the present study may be the low number of samples that may not be entirely representative, accurately reflect identification, or support other previously observed local measurements, we believe that the type of data presented in this study has the potential to be used in the field of environmental risk assessment and, as result, for human health.

Key Provisions of the Patient Protection and Affordable Care Act (ACA): A Systematic Review and Presentation of Early Research Findings.

OBJECTIVES: To conduct a systematic literature review of selected major provisions of the Affordable Care Act (ACA) pertaining to expanded health insurance coverage. We present and synthesize research findings from the last 5 years regarding both the immediate and long-term effects of the ACA. We conclude with a summary and offer a research agenda for future studies. STUDY DESIGN: We identified relevant articles from peer-reviewed scholarly journals by performing a comprehensive search of major electronic databases. We also identified reports in the "gray literature" disseminated by government agencies and other organizations. PRINCIPAL FINDINGS: Overall, research shows that the ACA has substantially decreased the number of uninsured individuals through the dependent coverage provision, Medicaid expansion, health insurance exchanges, availability of subsidies, and other policy changes. Affordability of health insurance continues to be a concern for many people and disparities persist by geography, race/ethnicity, and income. Early evidence also indicates improvements in access to and affordability of health care. All of these changes are certain to ultimately impact state and federal budgets. CONCLUSIONS: The ACA will either directly or indirectly affect almost all Americans. As new and comprehensive data become available, more rigorous evaluations will provide further insights as to whether the ACA has been successful in achieving its goals.

Macroeconomic fluctuations and motorcycle fatalities in the U.S.

The effects of business cycles on health outcomes in general, and on traffic fatalities in particular, have received much attention recently. In this paper, we focus on motorcycle safety and examine the impact of changing levels of economic activity on fatal crashes by motorcyclists in the United States. We analyze state-level longitudinal data with 1,104 state/year observations from the 1988-2010 Fatality Analysis Reporting System (FARS). Using the extensive motorcycle crash characteristics available in FARS, we examine not only total fatality rates but also rates decomposed by crash type, day, time, and the level of the motorcycle operator's blood alcohol content. Our results are consistent with much of the existing literature showing that traffic fatality rates are pro-cyclical. The estimates suggest that a 10% increase in real income per capita is associated with a 10.4% rise in the total motorcycle fatality rate. Along with potential mechanisms, policymakers and public health officials should consider the effects of business cycles on motorcycle safety.

Modifying physician behavior to improve cost-efficiency in safety-net ambulatory settings.

Change interventions in one form or another are viewed as important tools to reduce variation in medical services, reduce costs, and improve quality of care. With the current focus on efficient resource use, the successful design and implementation of change strategies are of utmost importance for health care managers. We present a case study in which macro and micro level change strategies were used to modify primary care physicians' practice patterns of prescribing diagnostic services in a safety-net's ambulatory clinics. The findings suggest that health care managers using evidence-based strategies can create a practice environment that reduces barriers and facilitates change.

Tax incentives as a solution to the uninsured: evidence from the self-employed.

Between 1996 and 2003, a series of amendments were made to the Tax Reform Act of 1986 that gradually increased the tax deduction for health insurance purchases by the self-employed (SE) from 25 to 100 percent. We study how these changes have influenced the likelihood that a SE person has health insurance coverage as the policyholder. The Current Population Survey is used to construct a data set corresponding to 1995-2005. Both the difference-in-differences and price elasticity of demand estimates suggest that the series of tax deductions did not provide sufficient incentives for the SE to obtain health insurance coverage.

Motorcycle fatalities among out-of-state riders and the role of universal helmet laws.

Several studies have demonstrated that universal helmet laws (UHLs) and other motor vehicle policies are effective in reducing fatal and non-fatal motorcycle injuries. Although state policies can improve traffic safety overall, very little is known about how they affect different segments of motorcycle riders. In this paper, we investigate the differential effectiveness of such policies by license state of the rider (i.e., in-state versus out-of-state). From a policy perspective, this information gap is noteworthy because variations in state regulations may influence where individuals choose to ride. We use state-level longitudinal (1988-2008) data on motorcycle fatalities in the United States from the fatality analysis reporting system (FARS). Our results reconfirm the effectiveness of UHLs and offer new evidence suggesting that states without such policies may attract more risky riders from out-of-state. In particular, not having a UHL increases out-of-state rider fatalities by 18 percent and this effect is more pronounced for out-of-state riders who reside in a UHL state. These findings have important implications regarding unintended spillover effects of state-specific motor vehicle policies.

Healthcare managers' perceptions of professional development and organizational support.

PURPOSE: This article explores the participation of healthcare managers in professional development (PD) activities, the reasons for seeking PD and the perceived support of their organizations in terms of reward and recognition. METHODOLOGY: An exploratory survey was emailed to current and past members of three professional associations who share similar missions "to provide educational and networking opportunities" for their members in the southern region of Florida. FINDINGS: Findings suggest that healthcare managers and healthcare organizations both support and value personal and professional development. Certification by professional organizations appears to be a key credential for upward mobility. RESEARCH LIMITATIONS: This study serves as an initial attempt to account for the factors that explain differences in pursuing professional development activities. Given the exploratory nature of the study and low response rates, the findings provide direction for further research rather than conclusive judgments. PRACTICAL IMPLICATIONS: Continuous learning by managers and organizations should allow the healthcare industry to position itself for future challenges. ORIGINALITY: Across all settings, positions, age groups, and perceived organizational support, individuals seek professional certification suggesting recognition of the professional value associated with these certifications. The value attributed to certification and PD by healthcare managers is further demonstrated by our finding that individuals engage in these activities even in the absence of employer reimbursement.