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Premised on the Developmental Origins of Health and Disease theory and on the limited effectiveness of antenatal interventions, interventions in the preconception period are being conducted to potentially improve intergenerational health and non-communicable disease burdens. The Healthy Life Trajectories Initiative (HeLTI) is an international health research consortium primarily investigating the intergenerational effects of behavioural interventions on obesity via a complex four-phase intervention initiated preconceptionally, through pregnancy, and into early childhood. HeLTI, in partnership with the World Health Organization, aims to generate evidence that will shape health policy focused on preconception as part of a life course approach to population health. It is necessary to ensure that a renewed public health focus on preconception prioritises justice and equity in its framing. This article presents collaborative interdisciplinary work with HeLTI-South Africa. It applies a feminist bioethics methodology, which is empirical, situated, intersectional, and fundamentally concerned with justice, to investigate what South African HeLTI community health workers, or ‘Health Helpers’, who deliver the complex behavioural intervention, think about preconception health and responsibility. Seven semi-structured interviews were conducted with HeLTI-SA Health Helpers, and data were analysed using reflexive thematic analysis. Our findings show that Health Helpers’ perceptions of preconception health and related responsibility were significantly gendered, heteronormative, and concerned with child-bearing intentionality and desires. These themes were inflected with Health Helpers’ perceptions about how attributions of responsibility are shaped by culture, demonstrating the situated nature of epistemologies. Their ideas also highlight how preconception health knowledge can distribute responsibility unjustly. Understanding the contextual impact and relevance of values around responsibility is critical to prospectively design preconception health interventions that promote equity and fairness. This understanding can then be used for effective policy translation, with the goal that public health policy is founded upon contextual responsivity and justice for the public it aims to serve.
At coastal archaeological sites, measuring erosion rates and assessing artifact loss are vital to understanding the timescale(s) and spatial magnitude of past and future site loss. We describe a straightforward low-tech methodology for documenting shoreline erosion developed by professionals and volunteers over seven years at Calusa Island Midden (8LL45), one of the few remaining sites with an Archaic component in the Pine Island Sound region of coastal Southwest Florida. We outline the evolution of the methodology since its launch in 2016 and describe issues encountered and solutions implemented. We also describe the use of the data to guide archaeological research and document the impacts of major storms at the site. The response to Hurricane Ian in 2022 is one example of how simply collected data can inform site management. This methodology can be implemented easily at other coastal sites at low cost and in collaboration with communities, volunteers, and heritage site managers.
Brazil’s public health system serves most of the population, but 25 percent of citizens rely on private health insurance. The National Regulatory Agency for Private Health Insurance and Plans (ANS) regulates private medicine reimbursements, which diverge from the public sector threshold. In 2022, the National Committee for Health Technology Incorporation (CONITEC) set a willingness-to-pay benchmark of BRL40,000 (USD8,215) per quality-adjusted life-year. The ANS has no such benchmark, highlighting a pivotal gap in economic evaluations for private health care.
Methods
This quantitative study investigated the Incremental cost-effectiveness ratios (ICER) for reimbursed medicines in Brazil’s private health sector, comparing them with CONITEC’s benchmarks and international thresholds. Data were extracted from industry reimbursement submissions to the ANS and analyzed for statistical disparity and policy implications.
Results
Preliminary findings found an ICER peak of BRL619,900 (USD127,220) per quality-adjusted life-year for talazoparib, which is used to treat certain advanced breast cancers. This contrasted sharply with CONITEC’s established threshold, indicating a critical need to evaluate ANS policies.
Conclusions
Early results indicate that the ICERs for some medicines surpass CONITEC’s willingness-to-pay limit, suggesting that the ANS should consider establishing a defined cost-effectiveness threshold. This is imperative to harmonize with global standards and maintain sustainable health financing.
Despite medical advancements, endocarditis still results in high mortality rates. Surgery, while often essential, elevates the risk of hyperinflammation, sepsis, and cytokine release. The use of a cytokine filter to prevent this remains controversial. This study reviewed existing literature to assess the efficacy of cytokine filters and to support its integration into supplementary health services.
Methods
An exhaustive search of the MEDLINE, Cochrane Library, Embase, LILACS, and CytoSorbents Corporation databases was conducted to identify relevant meta-analyses and systematic reviews. The study focused on randomized controlled trials and case series studies assessing the efficacy of cytokine filtration. Key variables considered were the duration of antibiotic treatment, severity of endocarditis, and surgical treatment rationale. These factors were crucial for evaluating clinical outcomes and patient survival after surgery.
Results
The systematic reviews yielded mixed outcomes. Two found no benefits for hemoadsorption, while one found that it reduced mortality rates and intensive care unit stays based on observational studies. Randomized controlled trials, however, showed no significant impact for cytokine filters on mortality rates or postoperative hemodynamic parameters. In contrast, case series studies reported potential benefits, but these results were confounded by biases in patient allocation and failure to account for critical variables like antibiotic treatment duration, case severity, and surgical rationale. These discrepancies highlight the complexity of evaluating the effectiveness of cytokine filtration in surgical settings.
Conclusions
Randomized and non-randomized controlled trials on the role of cytokine filters in cardiac surgery for endocarditis reported contradictory findings. Only case series studies suggested benefits from cytokine filters, necessitating further high quality research before recommending their widespread use. Understanding the implications of these results is essential, underscoring the need for more rigorous studies to resolve these inconsistencies.
Informed healthcare policies in Brazil rely on robust health technology assessment (HTA), especially for conditions like non-small cell lung cancer (NSCLC). We present an efficiency frontier analysis to evaluate NSCLC treatments that correlates annual treatment costs with clinical outcomes, offering a systematic approach to enhance decision-making in the Brazilian healthcare context.
Methods
This quantitative study analyzed NSCLC drug costs within the Brazilian healthcare system and the clinical efficacy data of pivotal studies. The data were analyzed using Python and R software. The dataset comprised drug costs and hazard ratios for overall survival. After data preparation, which involved normalization and outlier management, we constructed an efficiency frontier by ranking drugs based on cost and effectiveness. A linear regression model was then developed to extrapolate this frontier, deriving a formula that predicts treatment costs for specified improvements in overall survival.
Results
The analysis delineated an efficiency frontier and revealed cost-effective NSCLC treatments in Brazil. The following linear regression equation was derived: overall survival = (1.033551 − 0.000003) × treatment cost (USD). This allows for the estimation of appropriate treatment costs for new therapies based on their expected clinical outcomes. This initial model provides a foundation for estimating the economic impact of new treatments.
Conclusions
This preliminary efficiency frontier analysis offers a novel perspective for evaluating NSCLC treatment strategies in Brazil to support sustainable healthcare policy decisions. The model is subject to limitations due to the absence of a systematic literature review. However, it represents an initial step towards a more comprehensive HTA framework. Further research should refine the model by including systematic data collection and analysis.
In Brazil, equitable access to medications is critical. There are significant pricing disparities between the National Health System and private health care, which are influenced by the National Committee for Health Technology Incorporation (CONITEC) and Law 14.307. This study investigated these disparities, with aim of proposing strategies for equitable access and sustainability in health care.
Methods
This analysis compared prices between the public and private sectors for trastuzumab and adalimumab. Public sector prices were obtained from the Health Prices Database (HPD) and private sector prices were obtained from the Unimed National Table of Materials and Medications (TNUMM), as of May 2023. The study evaluated the extent of pricing discrepancies, considering Drug Market Regulation Chamber ceiling prices and industry discounts.
Results
The cost of the trastuzumab biosimilar, KANJINTI® (Amgen Inc.), was BRL15.79 (USD3.24) per mg in the private sector, compared with BRL4.50 (USD0.92) per mg in the public sector (a 250% difference). The original version of adalimumab, HUMIRA® (AbbVie), was priced at BRL5,450.38 (USD1,120.53) in the TNUMM versus BRL2,445.46 (USD502.33) in the HPD (a 123% difference). The adalimumab biosimilar, HYRIMOZ® (Sandoz Inc.), was priced at BRL7,723.99 (USD1,586.87) in the TNUMM compared with BRL2,449.19 (USD503.05) in the HPD (a 215% price discrepancy).
Conclusions
The study highlights significant disparities in drug pricing between Brazil’s public and private healthcare sectors. These disparities affect the financial sustainability of private health entities and elevate costs for consumers, potentially increasing reliance on the National Health System. Policy revisions, price parity strategies, and further studies are vital for a sustainable healthcare system.
This article introduces to political science a framework to analyze the content of visual material through unsupervised and semi-supervised methods. It details the implementation of a tool from the computer vision field, the Bag of Visual Words (BoVW), for the definition and extraction of “tokens” that allow researchers to build an Image-Visual Word Matrix which emulates the Document-Term matrix in text analysis. This reduction technique is the basis for several tools familiar to social scientists, such as topic models, that permit exploratory, and semi-supervised analysis of images. The framework has gains in transparency, interpretability, and inclusion of domain knowledge with respect to other deep learning techniques. I illustrate the scope of the BoVW by conducting a novel visual structural topic model which focuses substantively on the identification of visual frames from the pictures of the migrant caravan from Central America.
The recruitment of participants for research studies may be subject to bias. The Prospective Imaging Study of Ageing (PISA) aims to characterize the phenotype and natural history of healthy adult Australians at high future risk of Alzheimer’s disease (AD). Participants approached to take part in PISA were selected from existing cohort studies with available genomewide genetic data for both successfully and unsuccessfully recruited participants, allowing us to investigate the genetic contribution to voluntary recruitment, including the genetic predisposition to AD. We use a polygenic risk score (PRS) approach to test to what extent the genetic risk for AD, and related risk factors predict participation in PISA. We did not identify a significant association of genetic risk for AD with study participation, but we did identify significant associations with PRS for key causal risk factors for AD, IQ, household income and years of education. We also found that older and female participants were more likely to take part in the study. Our findings highlight the importance of considering bias in key risk factors for AD in the recruitment of individuals for cohort studies.
Frontline healthcare workers (FHCWs) exposed to COVID-19 patients are at an increased risk of developing psychological burden. This study aims to determine the prevalence of mental health symptoms and associated factors among Mexican FHCWs attending COVID-19 patients.
Methods:
FHCWs, including attending physicians, residents/fellows, and nurses providing care to COVID-19 patients at a private hospital in Monterrey, Mexico, were invited to answer an online survey between August 28, and November 30, 2020. Symptoms of depression, anxiety, post-traumatic stress, and insomnia were evaluated with the Patient Health Questionnaire (PHQ)-9, Generalized Anxiety Disorder (GAD)-7, Impact of Event Scale-Revised (IES-R), and Insomnia Severity Index (ISI). Multivariate analysis was performed to identify variables associated with each outcome.
Results:
131 FHCWs, 43.5% attending physicians, 19.8% residents/fellows, and 36.6% nurses were included. The overall prevalence of depression, anxiety, post-traumatic stress, and insomnia was 36%, 21%, 23%, and 24% respectively. Multivariate analysis revealed that residents/fellows and nurses reported more depression and insomnia than attending physicians. Although not significant, residents/fellows were more likely to experience all symptoms than nurses.
Conclusions:
Mexican FHCWs, especially nurses and residents/fellows, experienced a significant psychological burden while attending to COVID-19 patients. Tailored interventions providing support to FHCWs during future outbreaks are required.
Growing attitudinal and affective differences across party lines and increasing social polarization are often attributed to the strengthening of partisanship as a social identity. Scholars have paid less attention to personal preferences as a contributor to these phenomena. Our focus is on how citizens’ policy beliefs—their operational ideologies—are associated with their views of partisan groups. We examine our perspective with two studies. In the first, we find that the attribution of ideologically extreme political views to an individual's peer significantly reduces interest in interpersonal interaction but find limited evidence that partisan group membership alone induces social polarization. In the second, we show that citizens’ policy views are strongly associated with their perceptions of their own partisan group as well as their counterpartisans. Together, our results have important implications for understanding the consequences of increased polarization and partisan antipathy in contemporary politics.
We provide an introduction of the functioning, implementation, and challenges of convolutional neural networks (CNNs) to classify visual information in social sciences. This tool can help scholars to make more efficient the tedious task of classifying images and extracting information from them. We illustrate the implementation and impact of this methodology by coding handwritten information from vote tallies. Our paper not only demonstrates the contributions of CNNs to both scholars and policy practitioners, but also presents the practical challenges and limitations of the method, providing advice on how to deal with these issues.
We summarize some of the past year's most important findings within climate change-related research. New research has improved our understanding of Earth's sensitivity to carbon dioxide, finds that permafrost thaw could release more carbon emissions than expected and that the uptake of carbon in tropical ecosystems is weakening. Adverse impacts on human society include increasing water shortages and impacts on mental health. Options for solutions emerge from rethinking economic models, rights-based litigation, strengthened governance systems and a new social contract. The disruption caused by COVID-19 could be seized as an opportunity for positive change, directing economic stimulus towards sustainable investments.
Technical summary
A synthesis is made of ten fields within climate science where there have been significant advances since mid-2019, through an expert elicitation process with broad disciplinary scope. Findings include: (1) a better understanding of equilibrium climate sensitivity; (2) abrupt thaw as an accelerator of carbon release from permafrost; (3) changes to global and regional land carbon sinks; (4) impacts of climate change on water crises, including equity perspectives; (5) adverse effects on mental health from climate change; (6) immediate effects on climate of the COVID-19 pandemic and requirements for recovery packages to deliver on the Paris Agreement; (7) suggested long-term changes to governance and a social contract to address climate change, learning from the current pandemic, (8) updated positive cost–benefit ratio and new perspectives on the potential for green growth in the short- and long-term perspective; (9) urban electrification as a strategy to move towards low-carbon energy systems and (10) rights-based litigation as an increasingly important method to address climate change, with recent clarifications on the legal standing and representation of future generations.
Social media summary
Stronger permafrost thaw, COVID-19 effects and growing mental health impacts among highlights of latest climate science.
To evaluate an abbreviated NIH Toolbox Cognition Battery (NIHTB-CB) protocol that can be administered remotely without any in-person assessments, and explore the agreement between prorated scores from the abbreviated protocol and standard scores from the full protocol.
Methods:
Participant-level age-corrected NIHTB-CB data were extracted from six studies in individuals with a history of stroke, mild traumatic brain injury (mTBI), treatment-resistant psychosis, and healthy controls, with testing administered under standard conditions. Prorated fluid and total cognition scores were estimated using regression equations that excluded the three fluid cognition NIHTB-CB instruments which cannot be administered remotely. Paired t tests and intraclass correlations (ICCs) were used to compare the standard and prorated scores.
Results:
Data were available for 245 participants. For fluid cognition, overall prorated scores were higher than standard scores (mean difference = +4.5, SD = 14.3; p < 0.001; ICC = 0.86). For total cognition, overall prorated scores were higher than standard scores (mean difference = +2.7, SD = 8.3; p < 0.001; ICC = 0.88). These differences were significant in the stroke and mTBI groups, but not in the healthy control or psychosis groups.
Conclusions:
Prorated scores from an abbreviated NIHTB-CB protocol are not a valid replacement for the scores from the standard protocol. Alternative approaches to administering the full protocol, or corrections to scoring of the abbreviated protocol, require further study and validation.
We assessed the subjective quality of life (QOL) of 30 deficit schizophrenic patients compared to 112 nondeficit schizophrenic patients. The deficit patients did not differ in term of QOL, total score of positive symptoms, general psychopathology from the nondeficit patients. This result suggested an absence of impact of primary negative symptoms on the subjective QOL in schizophrenic patients.
When working with panel data, many researchers wish to estimate the direct effects of time-varying factors on future outcomes. However, when a baseline treatment affects both the confounders of further stages of the treatment and the outcome, the estimation of controlled direct effects (CDEs) using traditional regression methods faces a bias trade-off between confounding bias and post-treatment control. Drawing on research from the field of epidemiology, in this article I present a marginal structural modeling (MSM) approach that allows scholars to generate unbiased estimates of CDEs. Further, I detail the characteristics and implementation of MSMs, compare the performance of this approach under different conditions, and discuss and assess practical challenges when conducting them. After presenting the method, I apply MSMs to estimate the effect of wealth in childhood on political participation, highlighting the improvement in terms of bias relative to traditional regression models. The analysis shows that MSMs improve our understanding of causal mechanisms especially when dealing with multi-categorical time-varying treatments and non-continuous outcomes.
Effectively addressing public health crises requires dynamic and nimble interdisciplinary collaborations across the translational spectrum, from bench to clinic to community. The Clinical and Translational Science Award (CTSA) Program hubs are uniquely suited to facilitate interdisciplinary collaborations across universities and academic medical centers. This paper describes the activities at the Columbia University CTSA Program hub to address a current public health crisis, the opioid epidemic. Columbia’s CTSA Program hub led a three-phase approach, based on the Conceptual Model of Transdisciplinary Scientific Collaboration as described by Stokols et al.: (1) a university-wide planning and brainstorming phase to identify key leaders across many domains who are influential in addressing the opioid epidemic, (2) a campus-wide and community outreach to identify all interested parties, and (3) ongoing targeted support for collaboration development. Preliminary metrics of success are interdisciplinary collaborations and grant funding. We describe recent examples of how interdisciplinary collaboration, academic-community partnership, and pilot funding contributed to the development and funding of innovative interdisciplinary research, including the New York site of the HEALing Communities initiative. The processes are now being used to support interdisciplinary approaches for other translational public health issues.
The decision to adopt forced medication in psychiatric care is particularly relevant from a clinical and ethical viewpoint. The European Commission has funded the EUNOMIA study in order to develop European recommendations for good clinical practice on coercive measures, including forced medication.
Methods:
The recommendations on forced medication have been developed in 11 countries with the involvement of national clinical leaders, key-professionals and stakeholders’ representatives. The national recommendations have been subsequently summarized into a European shared document.
Results:
Several cross-national differences exist in the use of forced medication. These differences are mainly due to legal and policy making aspects, rather than to clinical situations. In fact, countries agreed that forced medication can be allowed only if the following criteria are present: 1) a therapeutic intervention is urgently needed; 2) the voluntary intake of medications is consistently rejected; 3) the patient is not aware of his/her condition. Patients’ dignity, privacy and safety shall be preserved at all times.
Conclusion:
The results of our study show the need of developing guidelines on the use of forced medication in psychiatric practice, that should be considered as the last resort and only when other therapeutic option have failed.
Firefighters represent an important population for understanding the consequences of exposure to potentially traumatic stressors.
Hypothesis/Problem
The researchers were interested in the effects of pre-employment disaster exposure on firefighter recruits’ depression and posttraumatic stress disorder (PTSD) symptoms during the first three years of fire service and hypothesized that: (1) disaster-exposed firefighters would have greater depression and PTSD symptoms than non-exposed overall; and (2) depression and PTSD symptoms would worsen over years in fire service in exposed firefighters, but not in their unexposed counterparts.
Methods
In a baseline interview, 35 male firefighter recruits from seven US cities reported lifetime exposure to natural disaster. These disaster-exposed male firefighter recruits were matched on age, city, and education with non-exposed recruits.
Results
A generalized linear mixed model revealed a significant exposure×time interaction (ecoef =1.04; P<.001), such that depression symptoms increased with time for those with pre-employment disaster exposure only. This pattern persisted after controlling for social support from colleagues (ecoefficient=1.05; P<.001), social support from families (ecoefficient=1.04; P=.001), and on-the-job trauma exposure (coefficient=0.06; ecoefficient=1.11; P<.001). Posttraumatic stress disorder symptoms did not vary significantly between exposure groups at baseline (P=.61).
Conclusion
Depression symptoms increased with time for those with pre-employment disaster exposure only, even after controlling for social support. Posttraumatic stress disorder symptoms did not vary between exposure groups.
PenningtonML, CarpenterTP, SynettSJ, TorresVA, TeagueJ, MorissetteSB, KnightJ, KamholzBW, KeaneTM, ZimeringRT, GulliverSB. The Influence of Exposure to Natural Disasters on Depression and PTSD Symptoms among Firefighters. Prehosp Disaster Med. 2018;33(1):102–108.
C46 was a Commission of the Executive Committee of the IAU under Division XII (Union-Wide Activities), then after 2012 under Division C (Education, Outreach, and Heritage). It was the only commission dealing exclusively with astronomy education; a previous Commission 38 (Exchange of Astronomers), which allocated travel grants to astronomers who needed them, and a Working Group on the Worldwide Development of Astronomy, have been absorbed by Commission 46.