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Gaceta Sanitaria Jun 2024To examine the presence of women in the organs of the Interterritorial Council of the Spanish National Health System (CISNS).
OBJECTIVE
To examine the presence of women in the organs of the Interterritorial Council of the Spanish National Health System (CISNS).
METHOD
Annual reports of the CISNS from 2005 to 2022 were analyzed. Artificial intelligence was used to assign gender, and percentages of women's participation were calculated. Temporal evolution, vertical segregation, and horizontal segregation were analyzed.
RESULTS
Between 2005 and 2022, there were 14,308 participations in 85 organs, with 52% women, rising from 42% in 2005 to 61% in 2022. There was a higher participation of women in propositional organs (54%), followed by executive ones (50%), and plenary sessions (40%). The General State Administration had 61% women compared to 48% in autonomous communities. Women's participation varied by topic, being higher (82%) in gender violence and lower (35%) in inspection.
CONCLUSIONS
Although there is a slight reduction in the participation gap between women and men, inequalities persist. Women have less presence in higher hierarchical levels (plenary sessions), maintaining vertical segregation. Additionally, women's representation in certain topics remains low, maintaining horizontal segregation. Concrete actions must be taken to continue advancing equality and improving health outcomes in society as a whole.
PubMed: 38936295
DOI: 10.1016/j.gaceta.2024.102406 -
JMIR Bioinformatics and Biotechnology Jun 2024Health care is at a turning point. We are shifting from protocolized medicine to precision medicine, and digital health systems are facilitating this shift. By providing...
Health care is at a turning point. We are shifting from protocolized medicine to precision medicine, and digital health systems are facilitating this shift. By providing clinicians with detailed information for each patient and analytic support for decision-making at the point of care, digital health technologies are enabling a new era of precision medicine. Genomic data also provide clinicians with information that can improve the accuracy and timeliness of diagnosis, optimize prescribing, and target risk reduction strategies, all of which are key elements for precision medicine. However, genomic data are predominantly seen as diagnostic information and are not routinely integrated into the clinical workflows of electronic medical records. The use of genomic data holds significant potential for precision medicine; however, as genomic data are fundamentally different from the information collected during routine practice, special considerations are needed to use this information in a digital health setting. This paper outlines the potential of genomic data integration with electronic records, and how these data can enable precision medicine.
PubMed: 38935958
DOI: 10.2196/55632 -
Journal of Medical Internet Research Jun 2024Artificial intelligence, particularly chatbot systems, is becoming an instrumental tool in health care, aiding clinical decision-making and patient engagement. (Comparative Study)
Comparative Study
BACKGROUND
Artificial intelligence, particularly chatbot systems, is becoming an instrumental tool in health care, aiding clinical decision-making and patient engagement.
OBJECTIVE
This study aims to analyze the performance of ChatGPT-3.5 and ChatGPT-4 in addressing complex clinical and ethical dilemmas, and to illustrate their potential role in health care decision-making while comparing seniors' and residents' ratings, and specific question types.
METHODS
A total of 4 specialized physicians formulated 176 real-world clinical questions. A total of 8 senior physicians and residents assessed responses from GPT-3.5 and GPT-4 on a 1-5 scale across 5 categories: accuracy, relevance, clarity, utility, and comprehensiveness. Evaluations were conducted within internal medicine, emergency medicine, and ethics. Comparisons were made globally, between seniors and residents, and across classifications.
RESULTS
Both GPT models received high mean scores (4.4, SD 0.8 for GPT-4 and 4.1, SD 1.0 for GPT-3.5). GPT-4 outperformed GPT-3.5 across all rating dimensions, with seniors consistently rating responses higher than residents for both models. Specifically, seniors rated GPT-4 as more beneficial and complete (mean 4.6 vs 4.0 and 4.6 vs 4.1, respectively; P<.001), and GPT-3.5 similarly (mean 4.1 vs 3.7 and 3.9 vs 3.5, respectively; P<.001). Ethical queries received the highest ratings for both models, with mean scores reflecting consistency across accuracy and completeness criteria. Distinctions among question types were significant, particularly for the GPT-4 mean scores in completeness across emergency, internal, and ethical questions (4.2, SD 1.0; 4.3, SD 0.8; and 4.5, SD 0.7, respectively; P<.001), and for GPT-3.5's accuracy, beneficial, and completeness dimensions.
CONCLUSIONS
ChatGPT's potential to assist physicians with medical issues is promising, with prospects to enhance diagnostics, treatments, and ethics. While integration into clinical workflows may be valuable, it must complement, not replace, human expertise. Continued research is essential to ensure safe and effective implementation in clinical environments.
Topics: Humans; Clinical Decision-Making; Artificial Intelligence
PubMed: 38935937
DOI: 10.2196/54571 -
American Society of Clinical Oncology... Jun 2024The landscape of prostate cancer care has rapidly evolved. We have transitioned from the use of conventional imaging, radical surgeries, and single-agent androgen... (Review)
Review
The landscape of prostate cancer care has rapidly evolved. We have transitioned from the use of conventional imaging, radical surgeries, and single-agent androgen deprivation therapy to an era of advanced imaging, precision diagnostics, genomics, and targeted treatment options. Concurrently, the emergence of large language models (LLMs) has dramatically transformed the paradigm for artificial intelligence (AI). This convergence of advancements in prostate cancer management and AI provides a compelling rationale to comprehensively review the current state of AI applications in prostate cancer care. Here, we review the advancements in AI-driven applications across the continuum of the journey of a patient with prostate cancer from early interception to survivorship care. We subsequently discuss the role of AI in prostate cancer drug discovery, clinical trials, and clinical practice guidelines. In the localized disease setting, deep learning models demonstrated impressive performance in detecting and grading prostate cancer using imaging and pathology data. For biochemically recurrent diseases, machine learning approaches are being tested for improved risk stratification and treatment decisions. In advanced prostate cancer, deep learning can potentially improve prognostication and assist in clinical decision making. Furthermore, LLMs are poised to revolutionize information summarization and extraction, clinical trial design and operations, drug development, evidence synthesis, and clinical practice guidelines. Synergistic integration of multimodal data integration and human-AI integration are emerging as a key strategy to unlock the full potential of AI in prostate cancer care.
Topics: Humans; Male; Prostatic Neoplasms; Artificial Intelligence
PubMed: 38935882
DOI: 10.1200/EDBK_438516 -
PloS One 2024Health technology assessment uses a multidisciplinary approach to support health benefits package design towards universal health coverage. The evidence-informed... (Review)
Review
Health technology assessment for sexual reproductive health and rights benefits package design in sub-Saharan Africa: A scoping review of evidence-informed deliberative processes.
BACKGROUND
Health technology assessment uses a multidisciplinary approach to support health benefits package design towards universal health coverage. The evidence-informed deliberative process framework has been used alongside Health technology assessment to enhance stakeholder participation and deliberations in health benefits package design. Applying the evidence-informed deliberative framework for Health assessment could support the morally diverse sexual reproductive health and rights (SRHR) benefits package design process. However, evidence on participation and deliberations for stakeholders in health technology assessment for SRHR benefits package design has not been curated in sub-Saharan Africa. This study synthesises literature to fill this gap.
METHODS
This scoping review applies the preferred reporting items for systematic reviews and meta-analyses extension for scoping reviews, and deductive analysis following the evidence-informed deliberative processes framework. The search strategy uses the Guttmacher-Lancet Commission-proposed comprehensive definition of SRHR and the World Health Organisation's universal health coverage compendium of SRHR interventions to generate search terms. Six databases and biographical hand searches were used to identify studies in Sub-Saharan Africa from 1994.
RESULTS
A total of 14 studies met the inclusion criteria. Evidence for yearly public budgets and explicit SRHR health technology assessment processes was not found. In 12 of the studies reviewed, new advisory committees were set up specifically for health technology assessment for SRHR priority-setting and benefits package design. In all decision-making processes reviewed, the committee member roles, participation and deliberations processes, and stakeholder veto powers were not clearly defined. Patients, the public, and producers of health technology were often excluded in the health technology assessment for the SRHR benefits package design. Most health technology assessment processes identified at least one decision-making criterion but failed to use this in their selection and appraisal stages for SRHR benefits design. The identification, selection, and scoping stages in health technology assessment for SRHR were non-existent in most studies. In 11 of the 14 processes of the included studies, stakeholders were dissatisfied with the health policy recommendation from the appraisal process in health technology assessment. Perceived benefits for evidence-informed deliberative processes included increased stakeholder engagement and fairness in decision-making.
CONCLUSION
To support the integration of diverse social values in health technology assessment for fairer SRHR benefits package design, evidence from this review suggests the need to institutionalise health technology assessment, establish prioritisation decision criteria, involve all relevant stakeholders, and standardise the process and assessment methodological approaches.
Topics: Africa South of the Sahara; Humans; Technology Assessment, Biomedical; Reproductive Health; Sexual Health
PubMed: 38935794
DOI: 10.1371/journal.pone.0306042 -
PloS One 2024When the costs of the inputs and outputs of the units under evaluation are known, the evaluation of the profit efficiency of the units is one of the most significant...
When the costs of the inputs and outputs of the units under evaluation are known, the evaluation of the profit efficiency of the units is one of the most significant evaluations that can provide valuable information about them. In this research, first, a new definition of the optimal scale size based on the maximization of the average measure of profit efficiency is presented. The average measure of profit efficiency develops the concept of economic efficiency measure by introducing a more accurate measure of efficiency compared to the measure of comparative and profit efficiency. It has been shown that the average measure of profit efficiency in a convex space is equivalent to the measure of profit efficiency in constant returns to scale technology, and then, some models are presented to calculate profit efficiency in a stochastic environment, to increase the ability of profit models in real examples by considering the calculation errors of inputs and outputs. Finally, the proposed method is used in an empirical example to calculate the average profit efficiency of a set of postal areas in Iran.
Topics: Uncertainty; Models, Economic; Iran; Stochastic Processes
PubMed: 38935791
DOI: 10.1371/journal.pone.0295241 -
PloS One 2024Dairy production in the UK has undergone substantial restructuring over the last few decades. Farming intensification has led to a reduction in the total numbers of...
Dairy production in the UK has undergone substantial restructuring over the last few decades. Farming intensification has led to a reduction in the total numbers of farms and animals, while the average herd size per holding has increased. These ever-changing circumstances have important implications for the health and welfare of dairy cows, as well as the overall business performance of farms. For decision-making in dairy farming, it is essential to understand the underlying causes of the inefficiencies and their relative impact. The investigation of yield gaps regarding dairy cattle has been focused on specific causes. However, in addition to the risk of overestimating the impact of a specific ailment, this approach does not allow understanding of the relative contribution to the total, nor does it allow understanding of how well-described that gap is in terms of underlying causes. Using the English and Welsh dairy sectors as an example, this work estimates the Loss Gap-composed of yield losses and health expenditure - using a benchmarking approach and scenario analysis. The Loss Gap was estimated by comparing the current performance of dairy herds as a baseline with that of scenarios where assumptions were made about the milk production of cows, production costs, market prices, mortality, and expenditure related to health events. A deterministic model was developed, consisting of an enterprise budget, in which the cow was the unit, with milking herd and young stock treated separately. When constraining milk production, the model estimated an annual Loss Gap of £148 to £227 million for the whole sector. The reduction in costs of veterinary services and medicines, alongside herd replacement costs, were important contributors to the estimate with some variation between the scenarios. Milk price had a substantial impact in the estimate, with revenue from milk yield representing more than 30% of the Loss Gap, when milk price was benchmarked against that of the top performing farms. This framework provides the boundaries for understanding the relative burden from specific causes in English and Welsh dairy cattle, ensuring that the sum of the estimated losses due to particular problem does not exceed the losses from all-causes, health or non-health related.
Topics: Animals; Cattle; Dairying; Female; Milk; Lactation
PubMed: 38935774
DOI: 10.1371/journal.pone.0306314 -
PloS One 2024Digital transformation, as a significant shift in optimizing enterprise resource allocation and enhancing information connectivity, offers the opportunity to stimulate...
Digital transformation, as a significant shift in optimizing enterprise resource allocation and enhancing information connectivity, offers the opportunity to stimulate the endogenous dynamics of corporate green governance. Employing a sample of 3,002 listed companies in China, a fixed-effects model, and the entropy power method to formulate a green governance index system, this study examines how digital transformation affects corporate green governance concerning carbon peaking and carbon neutrality objectives. According to these findings, the implementation of the digital transformation improves corporate green governance, each unit increase in digital transformation correlates with a 1.91% enhancement in green governance. Moreover, an examination of the mechanisms shows that green governance can be promoted by addressing information asymmetry and enhancing operational efficiency. Additionally, the association between corporate green governance and digital transformation is moderated favorably by strategic aggressiveness. Furthermore, our results indicate that digital transformation contributes significantly to the advancement of green governance within enterprises located in areas with high digital financing and strong technology integration capacities. Digitalization has a stronger effect on promoting green governance for enterprises in pilot regions than in non-pilot regions in terms of carbon emission trading. This study not only assists enterprises in elucidating the developmental trajectory of digital transformation amid carbon peaking and carbon neutrality goals but also provides a reference for decision-making on how digital technology can empower corporate green governance and promote sustainable economic growth.
Topics: China; Carbon; Conservation of Natural Resources; Digital Technology
PubMed: 38935763
DOI: 10.1371/journal.pone.0302432 -
PloS One 2024Invasive pneumococcal diseases (IPD) are associated with high morbidity, mortality, and health costs worldwide, particularly in Latin America and the Caribbean (LAC).... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Invasive pneumococcal diseases (IPD) are associated with high morbidity, mortality, and health costs worldwide, particularly in Latin America and the Caribbean (LAC). Surveillance about the distribution of serotypes causing IPD and the impact of pneumococcal vaccination is an important epidemiological tool to monitor disease activity trends, inform public health decision-making, and implement relevant prevention and control measures.
OBJECTIVES
To estimate the serotype distribution for IPD and the related disease burden in LAC before, during, and after implementing the pneumococcal vaccine immunization program in LAC.
METHODS
Systematic literature review following Cochrane methods of studies from LAC. We evaluated the impact of the pneumococcal vaccine on hospitalization and death during or after hospitalizations due to pneumococcal disease and serotype-specific disease over time. We also analyzed the incidence of serotyped IPD in pneumococcal conjugate vaccine PCV10 and PCV13. The protocol was registered in PROSPERO (ID: CRD42023392097).
RESULTS
155 epidemiological studies were screened and provided epidemiological data on IPD. Meta-analysis of invasive diseases in children <5 years old found that 57%-65% of causative serotypes were included in PCV10 and 66%-84% in PCV13. After PCV introduction, vaccine serotypes declined in IPD, and the emergence of non-vaccine serotypes varied by country.
CONCLUSIONS
Pneumococcal conjugate vaccines significantly reduced IPD and shifted serotype distribution in Latin America and the Caribbean. PCV10/PCV13 covered 57-84% of serotypes in children under 5, with marked decline in PCV serotypes post-vaccination. Continuous surveillance remains crucial for monitoring evolving serotypes and informing public health action.
Topics: Humans; Latin America; Caribbean Region; Pneumococcal Infections; Pneumococcal Vaccines; Serogroup; Streptococcus pneumoniae; Vaccination; Cost of Illness; Incidence
PubMed: 38935748
DOI: 10.1371/journal.pone.0304978 -
PloS One 2024Front-of-package labels indicating a product's environmental footprint (i.e., eco-score labels) offer promise to shift consumers towards more sustainable food choices.... (Randomized Controlled Trial)
Randomized Controlled Trial
Front-of-package labels indicating a product's environmental footprint (i.e., eco-score labels) offer promise to shift consumers towards more sustainable food choices. This study aimed to understand whether eco-score labels impacted consumers' perceptions of environmental sustainability and intentions to purchase sustainable and unsustainable foods. US parents (n = 1,013) completed an online experiment in which they were shown 8 food products (4 sustainable and 4 unsustainable). Participants were randomized to a control (n = 503, barcode on product packaging) or eco-score label group (n = 510, eco-score label on product packaging). The eco-score label was color-coded with a grade of A-F based on the product's environmental footprint, where "A" indicates relative sustainability and "F" indicates relative unsustainability. Participants rated each product's environmental sustainability and their future likelihood of purchase. We used multilevel mixed-effects linear regression models and examined moderation by product category and sociodemographic characteristics. The eco-score label lowered perceived sustainability of unsustainable products by 13% in relative terms or -0.4 in absolute terms (95% CI -0.5, -0.3; p<0.001). The eco-score label increased perceived sustainability of sustainable products by 16% in relative terms or 0.6 in absolute terms (95% CI 0.5, 0.7, p<0.001). Effects on purchase intentions were smaller, with a 6% decrease for unsustainable products (p = 0.001) and an 8% increase for sustainable products (p<0.001). For unsustainable products, the effect of eco-score labels on sustainability perceptions was greater for older adults, men, participants with higher educational attainment, and participants with higher incomes. For sustainable products, the effect of ecolabels on sustainability perceptions was greater for those with higher educational attainment. Eco-score labels have the potential to direct consumers towards more sustainable products. Future studies should investigate eco-score label effectiveness on behavioral outcomes.
Topics: Humans; Male; Consumer Behavior; Female; Adult; Food Labeling; Intention; Middle Aged; United States; Conservation of Natural Resources; Food Preferences; Young Adult; Perception; Choice Behavior; Adolescent
PubMed: 38935699
DOI: 10.1371/journal.pone.0306123