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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 -
PloS One 2024This study aims to analyze the efficacy and safety of different electrical stimulation treatments for post-stroke motor dysfunction, and to quantitatively analyze the...
OBJECTIVE
This study aims to analyze the efficacy and safety of different electrical stimulation treatments for post-stroke motor dysfunction, and to quantitatively analyze the advantages between them and their possible benefits for patients.
METHODS
We will systematically search seven databases. All of them will be retrieved from inception to 15, April 2024. Two reviewers will evaluation the risk of bias in all included studies with the version 2 of the Cochrane risk-of-bias assessment tool. Data synthesis will be performed using a random-effects model of network meta-analysis to compare the efficacy and safety of different electrical stimulation therapies. The surface under the cumulative ranking curve was used to indicate the possibility of the pros and cons of the intervention. The strength of evidence will be assessed by the Grading of Recommendations, Assessment, Development, and Evaluation framework.
DISCUSSION
This study will provide evidence that electrical stimulation therapy can effectively improve motor function in stroke patients and will also provide some valuable references for clinical decision-making and treatment guidelines.
TRIAL REGISTRATION
PROSPERO registration number: CRD42023459102.
Topics: Humans; Systematic Reviews as Topic; Stroke; Network Meta-Analysis; Electric Stimulation Therapy; Stroke Rehabilitation; Meta-Analysis as Topic; Treatment Outcome
PubMed: 38935648
DOI: 10.1371/journal.pone.0304174 -
JMIR Formative Research Jun 2024The management of neurodegenerative diseases (NDDs) in older populations is usually demanding and involves care provision by various health care services, resulting in a...
Improving the Acceptability and Implementation of Information and Communication Technology-Based Health Care Platforms for Older People With Dementia or Parkinson Disease: Qualitative Study Results of Key Stakeholders.
BACKGROUND
The management of neurodegenerative diseases (NDDs) in older populations is usually demanding and involves care provision by various health care services, resulting in a greater burden on health care systems in terms of costs and resources. The convergence of various health services within integrated health care models, which are enabled and adopted jointly with information and communication technologies (ICTs), has been identified as an effective alternative health care solution. However, its widespread implementation faces formidable challenges. Both the development and implementation of integrated ICTs are linked to the collaboration and acceptance of different groups of stakeholders beyond patients and health care professionals, with reported discrepancies in the needs and preferences among these groups.
OBJECTIVE
Complementing a previous publication, which reported on the needs and requirements of end users in the development of the European Union-funded project PROCare4Life (Personalized Integrated Care Promoting Quality of Life for Older People), this paper aimed to report on the opinions of other key stakeholders from various fields, including academia, media, market, and decision making, for improving the acceptability and implementation of an integrated ICT-based health care platform supporting the management of NDDs.
METHODS
The study included 30 individual semistructured interviews that took place between June and August 2020 in 5 European countries (Germany, Italy, Portugal, Romania, and Spain). Interviews were mostly conducted online, except in cases where participants requested to be interviewed in person. In these cases, COVID-19 PROCare4Life safety procedures were applied.
RESULTS
This study identified 2 themes and 5 subthemes. User engagement, providing training and education, and the role played by the media were identified as strategic measures to ensure the acceptability of ICT-based health care platforms. Sustainable funding and cooperation with authorities were foreseen as additional points to be considered in the implementation process.
CONCLUSIONS
The importance of the user-centered design approach in ensuring the involvement of users in the development of ICT-based platforms has been highlighted. The most common challenges that hinder the acceptability and implementation of ICT-based health care platforms can be addressed by creating synergies among the efforts of users, academic stakeholders, developers, policy makers, and decision makers. To support future projects in developing ICT-based health care platforms, this study outlined the following recommendations that can be integrated when conducting research on users' needs: (1) properly identify the particular challenges faced by future user groups without neglecting their social and clinical contexts; (2) iteratively assess the digital skills of future users and their acceptance of the proposed platform; (3) align the functionalities of the ICT platform with the real needs of future users; and (4) involve key stakeholders to guide the reflection on how to implement the platform in the future.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)
RR2-10.2196/22463.
PubMed: 38935424
DOI: 10.2196/58501 -
JMIR Public Health and Surveillance Jun 2024Information on the public's preferences for current public health and social measures (PHSMs) and people's mental health under PHSMs is insufficient.
BACKGROUND
Information on the public's preferences for current public health and social measures (PHSMs) and people's mental health under PHSMs is insufficient.
OBJECTIVE
This study aimed to quantify the public's preferences for varied PHSMs and measure the level of pandemic fatigue in the COVID-19 normalization stage in China.
METHODS
A nationwide cross-sectional study with a discrete choice experiment and psychometric scales was conducted to assess public preferences for and attitudes toward PHSMs, using the quota sampling method. The COVID-19 Pandemic Fatigue Scale (CPFS) was used to screen fatigue levels among respondents. The multinomial logit model, latent class model, and Mann-Whitney test were used for statistical analysis. We also conducted subgroup analysis based on sex, age, monthly income, mental health status, and pandemic fatigue status.
RESULTS
A total of 689 respondents across China completed the survey. The discrete choice experiment revealed that respondents attached the greatest importance to the risk of COVID-19 infection within 3 months (45.53%), followed by loss of income within 3 months (30.69%). Vulnerable populations (low-income populations and elderly people) were more sensitive to the risk of infection, while younger respondents were more sensitive to income loss and preferred nonsuspension of social places and transportation. Migrants and those with pandemic fatigue had less acceptance of the mandatory booster vaccination and suspension of transportation. Additionally, a higher pandemic fatigue level was observed in female respondents, younger respondents, migrants, and relatively lower-income respondents (CPFS correlation with age: r=-0.274, P<.001; correlation with monthly income: r=-0.25, P<.001). Mandatory booster COVID-19 vaccination was also not preferred by respondents with a higher level of pandemic fatigue, while universal COVID-19 booster vaccination was preferred by respondents with a lower level of pandemic fatigue.
CONCLUSIONS
Pandemic fatigue is widely prevalent in respondents across China, and respondents desired the resumption of normal social life while being confronted with the fear of COVID-19 infection in the normalization stage of COVID-19 in China. During future pandemics, the mental burden and adherence of residents should be considered for the proper implementation of PHSMs.
Topics: Humans; COVID-19; China; Male; Female; Adult; Cross-Sectional Studies; Middle Aged; Public Health; Young Adult; Fatigue; Pandemics; Adolescent; Aged; Choice Behavior; Surveys and Questionnaires
PubMed: 38935420
DOI: 10.2196/45840