Search

Burnout comprises a series of undetermined physical and psychosocial symptoms caused by an excessive energy requirement at work—it is a crisis in relationships with work itself and not necessarily a concern with underlying clinical disorders related to workers. Professions involving human interactions commonly involve emotional engagement, especially when the cared-for person needs assistance and support, as is the primary concern in the nursing profession. To some extent, the acknowledgment of the phenomena of burnout and how it affects people is sometimes addressed from a biomedical perspective. This concept paper aims to describe the burnout concept and reflect on the impact on nurses. Our intention with this reflection, considering the burnout impact on nurses, is to support a paradigm change in the prevention and management of burnout in healthcare contexts, promoting and fostering the well-being of nurses. [ABSTRACT FROM AUTHOR]

Local Area Coordination (LAC) roles have been implemented in disability services in many countries, supporting people living with disability to connect with formal and informal support in the community. Embedded in the National Disability Insurance Scheme in Australia, the aspiration is that this LAC role will connect people with disability to supports and enable the generation of greater community capacity and inclusion. Yet, with only a limited evidence base that demonstrates the impact of this approach, a clear measurement framework is needed to provide evidence of the realization of this aspiration. We propose that this impact could be demonstrated by applying a Community Capitals Framework (CCF) as the theoretical base for the LAC role and other community capacity initiatives, such as service navigation within disability reform of disability services. The CCF is premised on seven 'capitals'—social, natural, cultural, human, political, financial and built that intersect and interact with each other to create positive spirals of change in communities. In this critical literature review, we apply the CCF to map and synthesize existing research on the LAC's role in building community capital and examine the utility of the CCF as a map for LAC and service navigation practices to enhance community inclusion. For this review, we analyzed peer-reviewed journal papers and grey literature that focused on LAC community capacity building for people with disability in a disability service context published between 2000 and August 2023. Of the 17 publications that met the inclusion criteria, there was no published evidence that comprehensively examined or measured community capacity building consistent with the tenets of the CCF. However, our analysis showed that all capitals, with the exception of natural capital, had been considered, with some indication that investment in these capitals (particularly social capital) could be connected in the positive spiraling way suggested by the CCF. Given the paucity of existing evidence to inform the LAC aspiration for community capacity building, research informed by consumer priorities is needed to inform LAC and service navigation practices to address community needs. The CCF has the potential to develop our understanding of LAC and other community capacity-building initiatives through the measurement of LAC and service navigation services and consumer outcomes, as well as by informing investment to target growth capitals in communities. [ABSTRACT FROM AUTHOR]

Digital health technologies (DHTs) at the intersection of health, medical informatics, and business aim to enhance patient care through personalised digital approaches. Ensuring the efficacy and reliability of these innovations demands rigorous clinical validation. A PubMed literature review (January 2006 to July 2023) identified 1250 papers, highlighting growing academic interest. A focused narrative review (January 2018 to July 2023) delved into challenges, highlighting issues such as diverse regulatory landscapes, adoption issues in complex healthcare systems, and a plethora of evaluation frameworks lacking pragmatic guidance. Existing frameworks often omit crucial criteria, neglect empirical evidence, and clinical effectiveness is rarely included as a criterion for DHT quality. The paper underscores the urgency of addressing challenges in accreditation, adoption, business models, and integration to safeguard the quality, efficacy, and safety of DHTs. A pivotal illustration of collaborative efforts to address these challenges is exemplified by the Digital Health Validation Center, dedicated to generating clinical evidence of innovative healthcare technologies and facilitating seamless technology transfer. In conclusion, it is necessary to harmonise evaluation approaches and frameworks, improve regulatory clarity, and commit to collaboration to integrate rigorous clinical validation and empirical evidence throughout the DHT life cycle. [ABSTRACT FROM AUTHOR]

Topology optimization focuses on the conceptual design of structures, characterized by a large optimization space and a significant impact on structural performance, and has been widely applied in industrial fields such as aviation and aerospace. However, most topology optimization methods prioritize structural stiffness and often overlook stress levels, which are critical factors in engineering design. In recent years, explicit topology optimization methods have been extensively developed due to their ability to produce clear boundaries and their compatibility with CAD/CAE systems. Nevertheless, research on incorporating stress constraints within the explicit topology optimization framework remains scarce. This paper is dedicated to investigating stress constraints within the explicit topology optimization framework. Due to the clear boundaries and absence of intermediate density elements in the explicit topology optimization framework, this approach avoids the challenge of stress calculation for intermediate density elements encountered in the traditional density method. This provides a natural advantage in solving topology optimization problems considering stress constraints, resulting in more accurate stress calculations. Compared with existing approaches, this paper proposes a novel component topology description function that enhances the deformability of components, improving the representation of geometric boundaries. The lower-bound Kreisselmeier–Steinhauser aggregation function is employed to manage the stress constraint, reducing the solution scale and computational burden. The effectiveness of the proposed method is demonstrated through two classic examples of topology optimization. [ABSTRACT FROM AUTHOR]

Simple Summary: Platelet-rich plasma and related orthobiologics, such as platelet lysates, autologous conditioned serums, and autologous protein solutions, are relatively new regenerative therapies used in the medical management of chronic musculoskeletal disorders in horses. Numerous papers have been published in this area; however, there is no information on the bibliometric impact of these papers in the published veterinary literature. A bibliometric analysis was performed using the bibliometrix R package to evaluate the documents registered in the WOS and Scopus databases from 2000 to 2024. The obtained registers were evaluated considering their overview, sources, authors, documents, words, trending topics, clustering, conceptual structure, and social structure. Frontiers in Veterinary Science, Journal of Equine Veterinary Science, BMC Veterinary Research, and the American Journal of Veterinary Research were the most used sources to publish these papers. Universidad de Caldas, Colorado State University, University of California-Davis, and University of Leipzig were the most productive institutions, while the USA, Brazil, and Colombia had the highest production in this field. The most frequently used keywords were horse, platelet-rich plasma, equine, osteoarthritis, and autologous conditioned serum. The trending topics in this field are platelet lysates and orthobiologics. The collaborative network of authors, institutions, and countries is clustered and isolated in small research groups. (1) Background: There is increasing interest in the use of platelet-rich plasma and related orthobiologics for the treatment of chronic musculoskeletal disorders in horses; however, there is no information on the bibliometric impact of the literature published in this area. (2) Methods: A bibliometric analysis was performed using the bibliometrix R package by analyzing the documents registered in the WOS and Scopus databases from 2000 to 2024. The included registers were evaluated according to the menu of results from the biblioshiny web app (overview, sources, authors, documents, words, trending topics, clustering, conceptual structure, and social structure). (3) Conclusions: The documents produced were mainly published in Frontiers in Veterinary Science, Journal of Equine Veterinary Science, BMC Veterinary Research, and the American Journal of Veterinary Research). The most productive institutions were Universidad de Caldas, Colorado State University, University of California-Davis, and University of Leipzig, and the most productive countries were the USA, Brazil, and Colombia. Horse, platelet-rich plasma, equine, osteoarthritis, and autologous conditioned serum were the most frequently used keywords. The trending topics in this area are platelet lysates and orthobiologics. The collaboration network of authors, institutions, and countries shows an isolated development of individual author networks with modest collaboration between institutions and countries. [ABSTRACT FROM AUTHOR]

To prevent regulation from becoming an obstacle to healthcare technological innovation, regulation should evolve as new healthcare technologies are developed. Although regulation is closely related to healthcare technology development, there are few studies that view healthcare technological advances from the multi-layered perspective of papers, patents, and clinical research and link this with regulatory evolution. Therefore, this study tried to develop a new method from a multi-layer perspective and draw regulatory implications based on it. This study applied this method to intraocular lens (IOLs) for cataract treatment and detected four major healthcare technologies and two recent healthcare technologies. Moreover, it discussed how current regulations evaluate these technologies. The findings provide implications for healthcare technological advances and the evolutionary direction of regulation through the example of IOLs for cataract treatment. This study contributes to the development of theoretical methods for co-evolution with regulations based on healthcare technology innovation. [ABSTRACT FROM AUTHOR]

In Yogācāra epistemology, the term prapañca refers to various dimensions of the cognitive process in aspects ranging from consciousness, language formation, the conceptualization of subject–object duality, mental defilements, and ignorance. Given that the Laṅkāvatāra Sūtra conveys the richness of early tenets for both the Yogācāra and Madhyamaka traditions, an investigation of the meaning and discourse context of prapañca is a necessity. This paper conducts a contextual examination of the word prapañca, primarily addressing (1) a range of meanings, (2) possible characteristics, (3) conditions and consequences, especially the associations with the conceptualization (vikalpa) process, and (4) the significance of the elimination of prapañca that the corresponding dialogue implies. This paper finds that prapañca is associated with dualistic conceptualization and the evolution of consciousness within saṃsāra. It shows some qualities of the beginningless conceptual structure of saṃsāric conditioned negativity and is related to language formation. As the discourse in Laṅka adduces it as the root of suffering, liberation from it is a prerequisite for reaching enlightenment and achieving the state of Buddhahood. [ABSTRACT FROM AUTHOR]

Research on the Leave No One Behind principle of the Sustainable Development Goals (SDGs) within the context of the Agenda 2030 is currently prevalent; however, research on monitoring child poverty at the sub-national (local) level is still limited. This paper addresses this gap by examining indicators developed for monitoring the phenomenon at different territorial levels (global, European, and national) and assessing their territorial transposition locally, using the city of Cadiz, Spain, as a case study. Interviews with local stakeholders reveal that despite the availability and access to related indicators and data, relevant actors must enhance their efforts to utilize such indicators effectively. Based on desktop research and qualitative analysis, the paper delivers recommendations for improving local monitoring of child poverty in Europe and inducing policy changes. This knowledge can inform targeted interventions, policy formulation, and resource allocation to tackle child poverty and promote equitable and inclusive societies. [ABSTRACT FROM AUTHOR]

Background: As the number of large-scale outbreaks continues to rise worldwide, clinical trials are increasingly engaging disease-affected peoples within the Minority World (nations with over 80% poverty rates). Yet global health research inadequately addresses potential ethical issues of including impoverished, disease-affected populations and their contextual vulnerabilities in medical research. Objective: This paper presents a mixed-method analysis from our 2022 semi-structured survey capturing the experiences of Liberian Ebola Virus Disease (EVD) survivors serving as study participants in the Partnership for Research on Ebola Virus in Liberia (PREVAIL) clinical trials. Methods: Firstly, we conducted an extensive literature review of the scholarship related to biomedical research and ethical standards protecting study participants to inform our survey method and design. Applying a theoretical framework on vulnerability, we then qualitatively explored the survey responses of 19 EVD survivors' perceptions and experiences taking part in PREVAIL, including their expectations, treatment, delivered benefits, and quality of care. We further quantitatively codified their statements for underlying themes of reported negative experiences against standard ethical regulations in biomedical research, conducting a statistical analysis to inform generalizability. Most of the 19 survivors reported facing extreme ongoing vulnerabilities related to their disease status, including physical impairments, psychosocial stress, and socio-economic inequity. Results: Initially, the survivors tended to experience a sense of hope and pride in volunteering for PREVAIL. One in five participants reported benefiting from PREVAIL's regular medical diagnoses. However, most of their survey responses indicated prevalent negative shared experiences, including continually being confused or misinformed of their study participant rights, roles, and benefits; being burdened by heavy participation transaction costs; and repeated incidents of poor treatment and discrimination by PREVAIL staff after initial recruitment. PREVAIL participant satisfaction ranking is negatively correlated with receiving insufficient financial compensation (r = −0.51), extensive time requirements for each medical visit (−0.40), and being poorly treated by clinical staff (−0.67). [ABSTRACT FROM AUTHOR]

Cryoablation is a well-established medical procedure for surgically treating atrial fibrillation. Cryothermal catheter therapy induces cellular necrosis by freezing the insides of pulmonary veins, with the goal of disrupting abnormal electrical heart signals. Nevertheless, tissue damage induced by cold temperatures may also lead to other complications after cardiac surgery. In this sense, the simulation of catheter ablation can provide safer environments for training and the performance of cryotherapy interventions. Therefore, in this paper, we propose a novel approach to help better understand how temperature rates can affect this procedure by using computer tools to develop a simulation framework to predict lesion size and determine optimal temperature conditions for reducing the risk of major complications. The results showed that a temperature profile of around −40 °C caused less penetration, reduced necrotic damage, and smaller lesion size in the tissue. Instead, cryotherapy close to −60 °C achieved a greater depth of temperature flow inside the tissue and a larger cross-section area of the lesion. With further development and validation, the framework could represent a cost-effective strategy for providing personalized modeling, better planning of cryocatheter-based treatment, and preventing surgical complications. [ABSTRACT FROM AUTHOR]

This paper proposes an icon-based methodology for the design of prototype aggregated production planning software that addresses the complexity of multi-process and multi-product production. Aggregate planning is a critical task in production management, which involves coordinating the production of multiple products in different processes to meet demand efficiently. The approach focuses on the use of visual icons to represent key elements of the production process, such as products, processes, resources, and constraints. These icons allow an intuitive representation of information and facilitate communication between production team members. In addition, this paper presents a conceptual structure that defines the relationships between the icons and how they are used to model and simulate aggregate production planning. The prototype software based on a conceptual foundation allows planners to easily create and adjust production plans in a visual environment. This method improves the ability to make informed and rapid decisions in response to changes in demand or production capacity. The prototype is based on icons and programmed in Excel spreadsheets to facilitate the planner's planning. At the end of the document, the application of a case study is shown. [ABSTRACT FROM AUTHOR]

This paper aims to describe the effects of Technostress on employees' well-being and productivity. We adopted the Job Demands Resources Model as a theoretical framework to analyze the "Technostress" phenomenon in order to clarify whether and how technology can be considered a job demand, a job resource, or part of the effects of personal resources in the workplace. The sources search and selection process was conducted according to the PRISMA guidelines and regarded papers published from 2010 to 2022. Overall, the findings show that most selected papers consider ICT a job demand negatively affecting human behavior, thoughts, and attitudes. In contrast, some report that ICT acts as a job resource, thus reducing the impact of job demands and their physiological and psychological costs. Finally, a third category of studies does not consider the effects of ICT itself but gives more space to the interaction among ICT, the organizational context in which it is used, and the personal characteristics of ICT users. More specifically, the findings show how individual features and organizational procedures can shape the interpretations employees make about their ICT-related experiences at work and, consequently, their performance or well-being. Findings suggest that when ICT tools are strategically planned and used within organizations, they can enrich the employee experience at work, positively affecting the individual and the organizational level. [ABSTRACT FROM AUTHOR]

Healthy aging requires the maintenance of good physical and cognitive activity. However, as they age, older adults often experience a decline in physical and cognitive activity, leading to a more sedentary lifestyle. Some older adults may not have a choice but to become increasingly sedentary as they age due to injury or deteriorated physicality. As such, they require assistive technologies to aid in their daily lives and activities to maintain healthy cognitive function. Social Robots are a newer form of assistive technology, specifically designed for social interactions and gameplay. As with other assistive technologies, compliance barriers to their acceptance and use for meaningful, seated activities among older adults are expected. To better explore this phenomenon, improve quality of life and understand what drives older adults to accept and use newer forms of technology like social robots, this conceptual paper conjoins two theoretical frameworks: The Activity Theory of Aging (ATA) and the Unified Theory of Acceptance and Use of Technology (UTAUT). As social robots hold great promise for improving the quality of life for older adults, exploring what driving factors could enable their greater acceptance and use is essential to furthering this field of study within Australia. [ABSTRACT FROM AUTHOR]

This protocol lays the groundwork for a community-centered investigation into the intersection between climate change and violence against women and girls. Providing a standardized framework, this paper will enable researchers to collect and analyze data on severe weather patterns and their potential impact on violence within communities. The interlinkage between violence and climate is an emerging field of research. There is a need for a comprehensive understanding of the intersection of these two issues focusing on the manifestations of violence, specific vulnerabilities, and coping strategies. This protocol outlines a qualitative research approach employed in Kilifi County, Kenya. The study will include key informant interviews with community leaders and policymakers, along with focus group discussions with women, adolescent girls, and men. Community engagement is a crucial component of this work as it will ensure that the research is conducted ethically and respectfully and ensure that the findings are relevant and applicable to the community being studied. This study will contribute to a deeper understanding of the complex dynamics between violence against women and girls and climate change, informing policies, interventions, and advocacy efforts and elevating the voices of women and girls to promote gender equity in the face of climate change challenges. [ABSTRACT FROM AUTHOR]

Background: Chiropractic, osteopathy, and physiotherapy (COP) professionals regulated outside the United States traditionally incorporate hands-on procedures aligned with their historical principles to guide patient care. However, some authors in COP research advocate a pan-professional, evidence-informed, patient-centered approach to musculoskeletal care, emphasizing hands-off management of patients through education and exercise therapy. The extent to which non-Western sociocultural beliefs about body representations in health and disease, including Indigenous beliefs, could influence the patient–practitioner dyad and affect the interpretation of pillars of evidence-informed practice, such as patient-centered care and patient expectations, remains unknown. Methods: our perspective paper combines the best available evidence with expert insights and unique viewpoints to address gaps in the scientific literature and inform an interdisciplinary readership. Results: A COP pan-professional approach tends to marginalize approaches, such as prevention-oriented clinical scenarios traditionally advocated by osteopathic practitioners for patients with non-Western sociocultural health assumptions. The Cynefin framework was introduced as a decision-making tool to aid clinicians in managing complex clinical scenarios and promoting evidence-informed, patient-centered, and culturally sensitive care. Conclusion: Epistemological flexibility is historically rooted in osteopathic care, due to his Indigenous roots. It is imperative to reintroduce conceptual and operative clinical frameworks that better address contemporary health needs, promote inclusion and equality in healthcare, and enhance the quality of manual therapy services beyond COP's Western-centered perspective. [ABSTRACT FROM AUTHOR]

Simple Summary: The current evidence regarding Indigenous* women and breast cancer in Australia shows lower prevalence but higher mortality rates. There are a range of reasons for this, including co-morbidities, lack of access to health services and low health information fluency. Perhaps most importantly, breast cancer health policy and service delivery practice do not meet the needs of Indigenous women in Australia, according to Indigenous women. Talking and listening to Indigenous women about breast cancer highlight that the solutions to improve breast cancer outcomes are available and that they are not complex. Indigenous women must be involved in the improvement of policy and practice in order for these outcomes to improve. *Terminology: We respectfully refer to Aboriginal and Torres Strait Islander people as "Indigenous". In Australia, the incidence rate of breast cancer is lower in Indigenous* women than non-Indigenous women; however, the mortality rate is higher, with Indigenous women 1.2 times more likely to die from the disease. This paper provides practical and achievable solutions to improve health outcomes for Indigenous women with breast cancer in Australia. This research employed the Context–Mechanism–Outcome (CMO) framework to reveal potential mechanisms and contextual factors that influence breast cancer outcomes for Indigenous women, stratified into multiple levels, namely, micro (interpersonal), meso (systemic) and macro (policy) levels. The CMO framework allowed us to interpret evidence regarding Indigenous women and breast cancer and provides nine practical ways to improve health outcomes and survival rates. [ABSTRACT FROM AUTHOR]

Improving physical, mental and cognitive health is a strategic choice to help developing countries cross the middle-income trap. This paper used data from the 2019 China Rural Children Health and Nutrition Survey (n = 826), and used the Ordered Probit (Oprobit), Logit and ordinary least squares (OLS) analytical methods to systematically analyze the implications of parental migration on multidimensional health. The results indicate that parental migration significantly harms the physical and mental health of rural children, and that mobile phone addiction has a significant moderating effect. Moreover, parental migration has a greater impact on the physical health, mental health and cognitive ability of boys and rural children with low family income, while parents with higher nutrition knowledge and education can effectively improve the physical health and cognitive ability of their children. In conclusion, in order to improve the multidimensional health of rural children, the government should strengthen the policy of care and support for children whose parents migrate. Schools and families should pay attention to the supervision of rural children's mobile phone addiction. [ABSTRACT FROM AUTHOR]

Digital technologies have changed and disrupted the dynamics of the economy and society as a whole, offering new opportunities for entrepreneurs with potential impact on economic, environmental, and social value creation. This paper examines the scientific research on digital entrepreneurship (DE) and sustainability based on data from Scopus database. The main purpose is to identify both the predominant themes and further research opportunities to this topic. This study uses a bibliometric analysis, analyzing and synthesizing research on DE and sustainability, based on a total of 58 publications. Co-word analysis used to identify the conceptual structure reveals three thematic clusters: (1) innovation and entrepreneurship, (2) digital transformation: strategy and business models, and (3) sustainability and sustainable development goals. For each thematic cluster, the most significant contributions are presented. Further, this paper offers a future research agenda and holds significant implications for the theory and practice of the different subtopics of DE and sustainability. [ABSTRACT FROM AUTHOR]

Simple Summary: Pancreatic cancer (PCa) is a highly aggressive and deadly form of cancer with a low five-year survival rate. This paper explores the role of pharmacologic anthropology in understanding and addressing health disparities related to PCa. Pharmacologic anthropology examines how cultural, social, economic, and behavioral factors affect the use and effectiveness of pharmaceutical treatments. In the context of PCa, it helps us understand why different population groups experience disparities in PCa outcomes. By adopting this interdisciplinary approach, researchers, healthcare providers, and policymakers can better understand the complex dynamics of PCa health disparities. This understanding can lead to culturally sensitive interventions, improved communication between patients and providers, increased community engagement, and policies that enhance access to quality care for all PCa patients. Pancreatic cancer (PCa) remains a formidable global health challenge, with high mortality rates and limited treatment options. While advancements in pharmacology have led to improved outcomes for various cancers, PCa continues to exhibit significant health disparities, disproportionately affecting certain populations. This paper explores the intersection of pharmacology and anthropology in understanding the health disparities associated with PCa. By considering the socio-cultural, economic, and behavioral factors that influence the development, diagnosis, treatment, and outcomes of PCa, pharmacologic anthropology provides a comprehensive framework to address these disparities and improve patient care. [ABSTRACT FROM AUTHOR]

Translational health research is an interdisciplinary field aimed at bridging the gap between basic science studies, preventative studies, and clinical practice to improve health-related outcomes. Qualitative research methods provide a unique perspective on the emotional, social, cultural, and contextual factors that influence health and healthcare and thus are recognized as valuable tools for translational health research. This approach can be embedded within a mixed method design which complements the quantitative findings. This methodological paper aims to provide a comprehensive review of the fundamental concepts and methodologies used in qualitative research, emphasizing their utilization and significance in translational health research. Several approaches to qualitative research methodology are discussed in this review, including ethnography, phenomenology, grounded theory, case study, and action research. Theoretical frameworks such as the social-ecological model, intersectionality, and participatory action research are also examined to provide a structure for understanding and interpreting complex health issues. This methodological paper also reviews commonly used sampling techniques such as purposive, snowball, convenience, theoretical, and maximum variation sampling, along with data collection methods such as in-depth interviews, focus groups, observation, document analysis, and participatory methods. Moreover, data analysis techniques such as thematic analysis, grounded theory, content analysis, narrative analysis, and reflexive analysis, are discussed in the context of translational health. Overall, this review highlights the challenges and opportunities of using qualitative methods in current practice, while also discussing future directions and providing valuable guidance and insights to researchers interested in conducting qualitative research in translational health. [ABSTRACT FROM AUTHOR]

Background: Long-term care (LTC), poverty, and socioeconomic deprivation are globally significant social issues. Ongoing population aging trends and the recent social and health emergencies caused by the COVID-19 pandemic crisis have highlighted the need for macro-level LTC and welfare system sustainability strategies. Aims: This scoping review (ScR) explores the relationship between LTC needs, the health status of older people, and the risk of socioeconomic deprivation for their households. Methods: The methodology considers different relevant sources: (a) the guidelines for ScR proposed by Lockwood et al.; (b) the recommendations of Munn et al.; (c) the PRISMA guideline for scoping reviews; and (d) the Joanna Briggs Institute (JBI) checklist. Sixty-three papers are included in the mixed-methods analysis. Results: The findings reveal the existence of a debate that seeks to understand the different characteristics of the relationship between the investigated issues. Relevant gaps in the literature are identified in terms of the concepts and approaches of the studies analyzed. Conclusions: The results indicate that the reciprocal relationship between LTC needs, supply, and the risk of socioeconomic deprivation is understudied. Future studies should focus on the causal relationship between the two phenomena and identify any internal factors that may be involved. [ABSTRACT FROM AUTHOR]

Background: The Patient Protection and Affordable Care Act (ACA) established the Hospital Quality Initiative in 2010 to enhance patient safety, reduce hospital readmissions, improve quality, and minimize healthcare costs. In response, this study aims to systematically review the literature and conduct a meta-analysis to estimate the average cost of procedure-specific 30-day risk-standardized unplanned readmissions for Acute Myocardial Infarction (AMI), Heart Failure (HF), Pneumonia, Coronary Artery Bypass Graft (CABG), and Total Hip Arthroplasty and/or Total Knee Arthroplasty (THA/TKA). Methods: Eligibility Criteria: This study included English language original research papers from the USA, encompassing various study designs. Exclusion criteria comprise studies lacking empirical evidence on hospital financial performance. Information Sources: A comprehensive search using relevant keywords was conducted across databases from January 1990 to December 2019 (updated in March 2021), covering peer-reviewed articles and gray literature. Risk of Bias: Bias in the included studies was assessed considering study design, adjustment for confounding factors, and potential effect modifiers. Synthesis of Results: The review adhered to PRISMA guidelines. Employing Monte Carlo simulations, a meta-analysis was conducted with 100,000 simulated samples. Results indicated mean 30-day readmission costs: USD 16,037.08 (95% CI, USD 15,196.01–16,870.06) overall, USD 6852.97 (95% CI, USD 6684.44–7021.08) for AMI, USD 9817.42 (95% CI, USD 9575.82–10,060.43) for HF, and USD 21,346.50 (95% CI, USD 20,818.14–21,871.85) for THA/TKA. Discussion: Despite the financial challenges that hospitals face due to the ACA and the Hospital Readmissions Reduction Program, this meta-analysis contributes valuable insights into the consistent cost trends associated with 30-day readmissions. Conclusions: This systematic review and meta-analysis provide comprehensive insights into the financial implications of 30-day readmissions for specific medical conditions, enhancing our understanding of the nexus between healthcare quality and financial performance. [ABSTRACT FROM AUTHOR]

Colombia has extensive laws prohibiting discrimination against sexual minority people. However, violence and discrimination toward sexual minorities are still frequent. While a growing body of research shows that sexual minority people experience elevated rates of discrimination and domestic abuse globally, little research has been conducted on these issues affecting sexual minorities in Colombia specifically. Using minority stress theory as a conceptual framework, this paper aims to fill this gap by examining the prevalence of experiencing intimate partner violence (IPV) and witnessed discrimination and the relationship of these stressors to self-reported health among a national sample of sexual minority Colombians. We found that bisexual individuals experienced higher rates of physical and sexual IPV, compared to lesbian and gay individuals. Additionally, sexual minority Colombians who experienced IPV and witnessed discrimination were more likely to report having poorer health, compared to those who had not. We discuss the implications of our findings for future research and clinicians working with sexual minority clients. [ABSTRACT FROM AUTHOR]

Collaboration between midwives and traditional birth attendants for maternal and child healthcare is a challenge in rural South African communities due to the absence of a guiding framework. To address this, this study sought to develop and validate an inclusive framework informed by the Donabedian structure–process–outcome (SPO) framework for collaboration between these healthcare professionals. Method: Key stakeholders were invited to participate in a co-creation workshop to develop the framework. Twenty (20) participants were purposively sampled based on their maternal and child healthcare expertise. A consensus design using the nominal group technique was followed. Results: Participants identified the components needed in the framework, encompassing (i) objectives, (ii) structures, (iii) processes, and (iv) outcomes. Conclusion: This paper will contribute to the development of an inclusive healthcare framework, providing insights for stakeholders, policymakers, and practitioners seeking to improve maternal and child healthcare outcomes in resource-constrained, rural settings. Ultimately, the proposed framework will create a sustainable and culturally sensitive model that optimises the strengths of midwives and TBAs and fosters improved healthcare delivery to rural South African communities. [ABSTRACT FROM AUTHOR]

Simple Summary: Many anti-cancer drugs are prescribed at a 'one-size fits all' starting dose, without considering individual differences. This is a problem for many cancer patients as this fixed dose might be too much for an individual which could lead to adverse effects and toxicity. Similarly, the fixed-dose might not be enough for some patients which could lead to therapeutic failure. Achieving the right amount of anti-cancer drugs in the body is critical, however, currently, the anti-cancer drug concentrations are not monitored in routine care. Our group used our extensive experience, existing published frameworks and recommendations to establish our own framework to implement a program that enables individualized dosing of anti-cancer drugs in routine care. This paper describes this framework with a simple 6-step process that can be utilised for the implementation of individualised dosing programs for anti-cancer drugs. Precision medicine in oncology involves identifying the 'right drug', at the 'right dose', for the right person. Currently, many orally administered anti-cancer drugs, particularly kinase inhibitors (KIs), are prescribed at a standard fixed dose. Identifying the right dose remains one of the biggest challenges to optimal patient care. Recently the Precision Dosing Group established the Accurate Dosing of Anti-cancer Patient-centred Therapies (ADAPT) Program to address individualised dosing; thus, use existing anti-cancer drugs more safely and efficiently. In this paper, we outline our framework, based on the Medical Research Council (MRC) framework, with a simple 6-step process and strategies which have led to the successful implementation of the ADAPT program in South Australia. Implementation strategies in our 6-step process involve: (1) Evaluate the evidence and identify the cancer drugs: Literature review, shadowing other experts, establishing academic partnerships, adaptability/flexibility; (2) Establishment of analytical equipment for drug assays for clinical purposes: assessment for readiness, accreditation, feasibility, obtaining formal commitments, quality assurance to all stakeholders; (3) Clinical preparation and education: educational material, conducted educational meetings, involve opinion leaders, use of mass media, promote network weaving, conduct ongoing training; (4) Blood collection, sample preparation and analyses: goods received procedures, critical control points (transport time); (5) Interpret and release results with recommendations: facilitate the relay of clinical data to providers; (6) Clinical application: providing ongoing consultation, identify early adopters, identify, and prepare champions. These strategies were selected from the 73 implementation strategies outlined in the Expert Recommendations for Implementing Change (ERIC) study. The ADAPT program currently provides routine plasma concentrations for patients on several orally administered drugs in South Australia and is currently in its evaluation phase soon to be published. Our newly established framework could provide great potential and opportunities to advance individualised dosing of oral anti-cancer drugs in routine clinical care. [ABSTRACT FROM AUTHOR]

As urbanization accelerates in China, more and more rural elders are moving to cities to live with their children. However, they face challenges in overcoming cultural, social, and economic disparities and maintaining health in urban life, and health is important human capital that may have a significant impact on the urban adaptation of rural elderly migrants (REMs). Based on the 2018 China Health and Retirement Longitudinal Study (CHARLS), this paper constructs an indicator system to measure the level of urban adaptation of REMs. The health level and urban adaptation of REMs are studied in depth, and how to better help them adapt to urban life in order to provide a healthy living environment and a good lifestyle is explored. The empirical analysis finds the following: (1) good health helps REMs achieve a better level of urban adaptation. (2) REMs with good health status are more likely to go to community clubs for activities and do physical activities and thus improve their urban adaptation level. (3) There are significant differences in the effects of health status on urban adaptation among REMs with different characteristics. REMs with better health status in the central and western regions have significantly higher levels of urban adaptation than those in the eastern regions, and men have higher levels of urban adaptation than women. Therefore, the government should construct classification measures according to the differentiated characteristics of rural elderly migrants' urban adaptation, and guide and support their stratified and orderly adaptation to urban society. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) and machine learning (ML) have revolutionized the way health organizations approach social media. The sheer volume of data generated through social media can be overwhelming, but AI and ML can help organizations effectively manage this information to improve telehealth, remote patient monitoring, and the well-being of individuals and communities. Previous research has revealed several trends in AI–ML adoption: First, AI can be used to enhance social media marketing. Drawing on sentiment analysis and related tools, social media is an effective way to increase brand awareness and customer engagement. Second, social media can become a very useful data collection tool when integrated with new AI–ML technologies. Using this function well requires researchers and practitioners to protect users' privacy carefully, such as through the deployment of privacy-enhancing technologies (PETs). Third, AI–ML enables organizations to maintain a long-term relationship with stakeholders. Chatbots and related tools can increase users' ability to receive personalized content. The review in this paper identifies research gaps in the literature. In view of these gaps, the paper proposes a conceptual framework that highlights essential components for better utilizing AI and ML. Additionally, it enables researchers and practitioners to better design social media platforms that minimize the spread of misinformation and address ethical concerns more readily. It also provides insights into the adoption of AI and ML in the context of remote patient monitoring and telehealth within social media platforms. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has recently become the focus of academia and practitioners, reflecting the substantial evolution of scientific production in this area, particularly during the COVID-19 era. However, there is no known academic work exploring the major trends and the extant and emerging themes of scientific research production of AI leading journals. To this end, this study is to specify the research progress on AI among the top-tier journals by highlighting the development of its trends, topics, and key themes. This article employs an integrated bibliometric analysis using evaluative and relational metrics to analyze, map, and outline the key trends and themes of articles published in the leading AI academic journals, based on the latest CiteScore of Scopus-indexed journals between 2020 and 2021. The findings depict the major trends, conceptual and social structures, and key themes of AI leading journals' publications during the given period. This paper represents valuable implications for concerned scholars, research centers, higher education institutions, and various organizations within different domains. Limitations and directions for further research are outlined. [ABSTRACT FROM AUTHOR]

Simple Summary: Cancer treatment during pregnancy can raise many difficult questions. Currently available clinical practice guidelines offer very limited ethical guidance for healthcare professionals. This article offers a theoretical framework and a practical ethics checklist for ethical and patient-centred care. It takes a holistic view to patient treatment, care and counselling that emphasises the need to recognise the relational context of individual patient's autonomy; balance maternal and foetal beneficence obligations; balance maternalistic and relational approaches to evidence-based personalised patient care; consider protection of the vulnerable in light of responsibilities towards the unborn; and ensure reasonable and just resource allocation. At the moment, very few studies have explored clinicians' attitudes and patients' experiences when cancer treatment is delivered during pregnancy. Therefore, future work will require patient engagement to develop ethical guidance in this setting. (1) Background: Caring for pregnant cancer patients is clinically and ethically complex. There is no structured ethical guidance for healthcare professionals caring for these patients. (2) Objective: This concept paper proposes a theoretically grounded framework to support ethical and patient-centred care of pregnant cancer patients. (3) Methodological approach: The framework development was based on ethical models applicable to cancer care during pregnancy—namely principle-based approaches (biomedical ethics principles developed by Beauchamp and Childress and the European principles in bioethics and biolaw) and relational, patient-focused approaches (relational ethics, ethics of care and medical maternalism)—and informed by a systematic review of clinical practice guidelines. (4) Results: Five foundational discussion themes, summarising the key ethical considerations that should be taken into account by healthcare professionals while discussing treatment and care options with these patients, were identified. This was further developed into a comprehensive ethics checklist that can be used during clinical appointments and highlights the need for a holistic view to patient treatment, care and counselling while providing ethical, patient-centric care. (5) Conclusion: The proposed framework was further operationalised into an ethics checklist for healthcare professionals that aims to help them anticipate and address ethical concerns that may arise when attending to pregnant cancer patients. Further studies exploring clinicians' attitudes towards cancer treatment in the course of pregnancy and patient experiences when diagnosed with cancer while pregnant and wider stakeholder engagement are needed to inform the development of further ethical, patient-centred guidance. [ABSTRACT FROM AUTHOR]

Currently, Chinese villages are grappling with the issue of regional value collapse within the long-standing 'urban-rural dual system' strategy. Characteristic villages, as integral components of the urban–rural hierarchical spatial system and pivotal agents in rural development, wield significant influence in addressing China's rural crises. The construction practice of characteristic villages showcases the cognitive evolution of 'element-industry-function-type'. Within the value perception of characteristic villages, these practices reflect fundamental orientations in the interaction between humans and land, emphasizing the symbiotic relationship between production, life, and ecology. In alignment with this value perception, and drawing upon the existing studies on the classification of characteristic village types in Jixi County, this paper establishes a comprehensive type knowledge graph of characteristic villages. The framework of this graph's expression revolves around 'spatial elements-spatial combination-spatial organization'. This graph delineates a knowledge progression encompassing 'information-knowledge-strategy', characterized by three levels: the factual knowledge graph, conceptual knowledge graph and regular knowledge graph. The type knowledge graph systematically accumulates insights derived from the spatiotemporal transmission path of the village spatial structure. It formulates a structured progression of knowledge as follows: cognition of the village entity information → analysis of the village landscape structure → examination of the village social relationships. This constructed graph translates type-data information into spatial strategy knowledge, serving as a pivotal process in amalgamating characteristic village spatial data with semantic networks, particularly in expressing authenticity inspection and gene transfer. [ABSTRACT FROM AUTHOR]

(1) Background: Osteopathy in the cranial field (OCF) is a distinctive approach within osteopathy, focusing on the cranial region's manual manipulation. Nevertheless, OCF fosters doubt in the scientific community because it refers to out-of-date models. This perspective paper critically analyzes the current knowledge in the fields of neurophysiology and mechanobiology to propose an evidence-informed rationale for OCF. (2) Methods: The reporting framework used in the current perspective article obeyed the guidelines for writing a commentary. (3) Results: The article's main findings focus on the tactile stimulation of exocranial receptors and their implications in the management of craniofacial algic-dysfunctional syndromes implementing OCF. (4) Conclusions: By establishing an evidence-based rationale for OCF, this research aims to guide future directions in OCF and contribute to a more patient-centered and effective approach to health and wellbeing. [ABSTRACT FROM AUTHOR]

Background: Physiotherapy and chronic low back pain (CLBP) form a broad and quickly developing research area. The aim of this article was to holistically, thematically and chronologically analyze and synthesize the literature production in this research area and identify the most prolific research entities and research themes. Methods: This article quantitatively and qualitatively analyzed research literature production harvested from the Scopus bibliometric database, using a triangulation of bibliometric and thematic analysis. For this, Excel 2024, Bibliometrix Biblioshiny 4.1 and VOSviewer version 1.6.20 softwares were used. Results: In the Scopus database, 2843 data sources were found, which were published between 1974 and 26 February 2024. The growth trend has been linearly positive since the beginning of publication, and after 2018 exponential growth began. A review of the most prolific entities showed that the most literature was published in America, Europe and Australasia. The thematic analysis of the information sources identified six main themes (pathophysiology of CLBP and the quantification assessment tools, diagnostics and CLBP treatment, CLBP questionnaires and surveys, quality of life, complementary methods in physiotherapy and psychosocioeconomic aspects), while the chronological analysis revealed three main areas of development: assessment tools, CLBP processing and study methodology. Conclusions: The results of this bibliometric study present a good starting point for further research, providing taxonomy and research landscapes as a holistic framework offering multidisciplinary knowledge about CLBP, while chronological analysis provides a basis for identifying prospective research trends. This article offers an interdisciplinary view of the current issue of public health. The results of this study provide a basis for the development of both the physiotherapy and epidemiological fields. [ABSTRACT FROM AUTHOR]

The COVID-19 virus has been spreading worldwide on a large scale since 2019, and the most effective way to prevent COVID-19 is to vaccinate. In order to prove that vaccination has been administered to allow access to different areas, paper vaccine passports are produced. However, paper vaccine passport records are vulnerable to counterfeiting or abuse. Previous research has suggested that issuing certificates digitally is an easier way to verify them. This study used the consortium blockchain based on Hyperledger Fabric to upload the digital vaccine passport (DVP) to the blockchain network. In order to enable collaboration across multiple systems, networks, and organizations in different trust realms. Federated Identity Management is considered a promising approach to facilitate secure resource sharing between collaborating partners. Therefore, the international federal identity management architecture proposed in this study enables inspectors in any country to verify the authenticity of the DVP of incoming passengers using the consortium blockchain. Through practical construction, the international federal Hyperledger verification framework for the DVP proposed in this study has shown the feasibility of issuing a global DVP in safety analysis and efficacy testing. [ABSTRACT FROM AUTHOR]

Mild cognitive impairment (MCI) is when brain function declines. MCI is the gray area transitioning from normal aging to the AD stage. Currently, the majority of early MCI diagnoses are processed through comprehensive neuropsychological tests. These tests may take the form of interviews, paper-and-pencil tests, or computer-based tests. There may be resistance from the subject if he/she has to undergo many screening tests simultaneously for multiple evaluation information, resulting in execution difficulty. The objectives of this study are to use 3D virtual reality to create an entertaining test scenario integrating the Mini-Cog, SPMSQ, MMSE, SLUMS, CDR, and CASI for middle-aged to older adults, furthermore, to employ fuzzy logic control (FLC) technology to develop a "MCI assessment system" for obtaining some pilot information for MCI assessment. There were 24 middle-aged to older adults aged from 50 to 65 years who participated in the evaluation experiment. The results showed that the MCI assessment system developed in this study is highly correlated with the traditional screening tests, including the Mini-Cog, SPMSQ, MMSE, SLUMS, and CASI. The assessment system can provide an integrated reference score for clinic workers in making judgments. In addition, the distribution of the System Usability Scale (SUS) evaluation scores for the MCI assessment system revealed that 87.5% were grade C (good to use) or above and 29.2% were grade B (extremely good to use) or above. The assessment system received positive feedback from the subjects. [ABSTRACT FROM AUTHOR]

Existing research on integrated innovation primarily focuses on the integration of product functions or technologies in the engineering field, with limited exploration of cross-domain integration of biological knowledge. Various organisms exhibit various advantageous biological characteristics, and the multi-biological knowledge embedded within these characteristics can inspire designers to implement product integrated innovation. Biologically Inspired Design (BID) is a method that seeks inspiration from nature to achieve innovation in the engineering field. However, existing BID processes mainly apply the features of a single biological prototype. Against this background, this paper emphasizes how to achieve cross-domain integrated innovation through multi-biological knowledge. First, a method for generating integrated innovation ideas is proposed, achieved through obtaining biological prototypes and analyzing biological performance. Second, by obtaining the principal solution through the three mapping methods of biological effects, behaviors, and structures, a method for building the conceptual structure of integrated innovation is proposed. Finally, in conjunction with the Theory of Inventive Problem Solving (TRIZ), a product-integrated innovation design process model based on biological inspiration is constructed. The method is validated with an example of a six-legged firefighting robot. [ABSTRACT FROM AUTHOR]

Simple Summary: Testicular cancer is a prevalent malignancy in young men aged 15 to 35 years. Sonoelastography is an emerging technique for distinguishing between non-neoplasms, benignities, and malignancies by characterizing the tissue stiffness of testes. This review provides a summary of studies on the diagnostic accuracy of sonoelastography for identifying benign and malignant lesions, as well as tumors and non-tumors. The objective of this review was to summarize the applications of sonoelastography in testicular tumor identification and inquire about their test performances. Two authors independently searched English journal articles and full conference papers from CINAHL, Embase, IEEE Xplore®, PubMed, Scopus, and Web of Science from inception and organized them into a PIRO (patient, index test, reference test, outcome) framework. Eleven studies (n = 11) were eligible for data synthesis, nine of which (n = 9) utilized strain elastography and two (n = 2) employed shear-wave elastography. Meta-analyses were performed on the distinction between neoplasm (tumor) and non-neoplasm (non-tumor) from four study arms and between malignancy and benignity from seven study arms. The pooled sensitivity of classifying malignancy and benignity was 86.0% (95%CI, 79.7% to 90.6%). There was substantial heterogeneity in the classification of neoplasm and non-neoplasm and in the specificity of classifying malignancy and benignity, which could not be addressed by the subgroup analysis of sonoelastography techniques. Heterogeneity might be associated with the high risk of bias and applicability concern, including a wide spectrum of testicular pathologies and verification bias in the reference tests. Key technical obstacles in the index test were manual compression in strain elastography, qualitative observation of non-standardized color codes, and locating the Regions of Interest (ROI), in addition to decisions in feature extractions. Future research may focus on multiparametric sonoelastography using deep learning models and ensemble learning. A decision model on the benefits–risks of surgical exploration (reference test) could also be developed to direct the test-and-treat strategy for testicular tumors. [ABSTRACT FROM AUTHOR]

This paper illustrates the design and fabrication process of the temporary installation The Canopy, developed as part of the fib Symposium on Conceptual Design of Structures 2021. The geometry of the perforated hanging membrane that forms The Canopy is the result of seamless integration between the disciplines of architecture and structural design, which was one of the driving inputs for the entire process. Particularly, the use of geometry-based models and graphic statics allowed activating the interplay between these disciplines. This was the key to balancing the relationship between architectural spaces and structural requirements, and to informing the multifaceted design exploration of The Canopy from conceptual design to construction. [ABSTRACT FROM AUTHOR]

Disease surveillance is used to monitor ongoing control activities, detect early outbreaks, and inform intervention priorities and policies. However, data from disease surveillance that could be used to support real-time decisionmaking remain largely underutilised. Using the Brazilian Amazon malaria surveillance dataset as a case study, in this paper we explore the potential for unsupervised anomaly detection machine learning techniques to discover signals of epidemiological interest. We found that our models were able to provide an early indication of outbreak onset, outbreak peaks, and change points in the proportion of positive malaria cases. Specifically, the sustained rise in malaria in the Brazilian Amazon in 2016 was flagged by several models. We found that no single model detected all anomalies across all health regions. Because of this, we provide the minimum number of machine learning models top-k models) to maximise the number of anomalies detected across different health regions. We discovered that the top three models that maximise the coverage of the number and types of anomalies detected across the thirteen health regions are principal component analysis, stochastic outlier selection, and the minimum covariance determinant. Anomaly detection is a potentially valuable approach to discovering patterns of epidemiological importance when confronted with a large volume of data across space and time. Our exploratory approach can be replicated for other diseases and locations to inform monitoring, timely interventions, and actions towards the goal of controlling endemic disease. [ABSTRACT FROM AUTHOR]

In this paper, a conceptual framework for investigating the PPP model as it relates to hospitals is proposed. When the PPP model is applied to healthcare (hospitals), it is possible to discover the path to success by developing a critical assessment and deriving a clear model. It is concluded that most PPP model implementations in hospitals around the world have produced favorable outcomes, both in terms of the performance of healthcare units and in terms of cost-effectiveness. Additionally, a path-to-success model that applies to hospitals is offered, taking into account six PPP model dimensions: (i) Environment; (ii) Potentiate Benefits; (iii) Constant Measure; (iv) Evaluation; (v) Management; and (vi) Enhance Strengths. The PPP model only applies case by case and under specific requirements that should be met cumulatively to provide additional value to healthcare's quality of service. The right conditions are created, the right benefits are amplified, public concerns are frequently assessed, private contributions are carefully considered, and all pressing challenges are managed by enhancing both public and private strengths. Leading decision- and action-making processes in corporate, governmental, and social sectors is the goal of managing PPP models. [ABSTRACT FROM AUTHOR]

The recent COVID-19 pandemic has hit humanity very hard in ways rarely observed before. In this digitally connected world, the health informatics and investigation domains (both public and private) lack a robust framework to enable rapid investigation and cures. Since the data in the healthcare domain are highly confidential, any framework in the healthcare domain must work on real data, be verifiable, and support reproducibility for evidence purposes. In this paper, we propose a health informatics framework that supports data acquisition from various sources in real-time, correlates these data from various sources among each other and to the domain-specific terminologies, and supports querying and analyses. Various sources include sensory data from wearable sensors, clinical investigation (for trials and devices) data from private/public agencies, personnel health records, academic publications in the healthcare domain, and semantic information such as clinical ontologies and the Medical Subject Heading ontology. The linking and correlation of various sources include mapping personnel wearable data to health records, clinical oncology terms to clinical trials, and so on. The framework is designed such that the data are Findable, Accessible, Interoperable, and Reusable with proper Identity and Access Mechanisms. This practically means to tracing and linking each step in the data management lifecycle through discovery, ease of access and exchange, and data reuse. We present a practical use case to correlate a variety of aspects of data relating to a certain medical subject heading from the Medical Subject Headings ontology and academic publications with clinical investigation data. The proposed architecture supports streaming data acquisition and servicing and processing changes throughout the lifecycle of the data management. This is necessary in certain events, such as when the status of a certain clinical or other health-related investigation needs to be updated. In such cases, it is required to track and view the outline of those events for the analysis and traceability of the clinical investigation and to define interventions if necessary. [ABSTRACT FROM AUTHOR]

To date, at least 2.41 billion people with Non-Communicable Diseases (NCDs) are in need of rehabilitation. Rehabilitation care through innovative technologies is the ideal candidate to reach all people with NCDs in need. To obtain these innovative solutions available in the public health system calls for a rigorous multidimensional evaluation that, with an articulated approach, is carried out through the Health Technology Assessment (HTA) methodology. In this context, the aim of the present paper is to illustrate how the Smart&TouchID (STID) model addresses the need to incorporate patients' evaluations into a multidimensional technology assessment framework by presenting a feasibility study of model application with regard to the rehabilitation experiences of people living with NCDs. After sketching out the STID model's vision and operational process, preliminary evidence on the experiences and attitudes of patients and citizens on rehabilitation care will be described and discussed, showing how they operate, enabling the co-design of technological solutions with a multi-stakeholder approach. Implications for public health are discussed including the view on the STID model as a tool to be integrated into public health governance strategies aimed at tuning the agenda-setting of innovation in rehabilitation care through a participatory methodology. [ABSTRACT FROM AUTHOR]

The number of research related to traumatic experiences in people with autism spectrum disorder (ASD) has grown exponentially, yet there are no bibliometric studies in this field. This article aimed to analyze the literature related to trauma and ASD published in Web of Science (WoS). Papers on trauma and ASD were retrieved from the WoS. Analysis and visualization of selected documents were performed using MS Excel (v16.0), VOS viewer (version 1.6.15), and R package (Biblioshiny, version 2.0). A total of 147 articles were included in this study. The results showed that production has been increasing over the last few years. Among the countries identified, the USA published the largest number of articles. Arvid Nikolai Kildahl, Sissel Berge Helverschou, and Liliana Dell'Osso were the authors with the most number of publications on this topic, and Autism was the most productive journal. The main research topics associated with ASD were post-traumatic stress and traumatic experiences in childhood. This bibliometric study contributes to understanding research trends on trauma and ASD by evaluating relevant publications in the last decades. The results of this bibliometric analysis can serve as a basis and orientation for new studies. [ABSTRACT FROM AUTHOR]

In recent years, the sustainability crisis has raised interest in the concept of resilience, i.e., the capacity to persist, adapt, or transform in the face of change and challenge. However, to date, resilience has only been studied to a limited extent within early childhood education and care (ECEC). This paper reports on a study that used critical document analysis of national and international policies to explore if and how the concept of resilience within ECEC could contribute to sustainability in a world of rapid change. Five national and four international documents were analysed through the theoretical lenses of childism and place-based education. The results show that resilience is implicitly expressed in ECEC policies yet is rarely linked to sustainability issues. Instead, policies mainly limit resilience to the psychological dimension and the individual child. The conclusion is that ECEC is an apt context for supporting resilience in multiple ways. It suggests using a holistic understanding of resilience to advocate for ECEC policies that include diverse perspectives of families and local communities, incorporate indigenous voices, and recognise the interconnectedness between humans and the more-than-human world. [ABSTRACT FROM AUTHOR]

Fluorescence-guided surgery (FGS) is used in many pediatric subspecialties but there are currently no standard guidelines or outcome data. We aimed to assess the current status of FGS in pediatrics using the Idea, Development, Exploration, Assessment, and Long-term study (IDEAL) framework. Clinical papers on FGS in children published from January 2000 to December 2022 were systematically reviewed. The stage of research development was measured considering seven fields of application: biliary tree imaging, vascular perfusion for gastrointestinal procedures, lymphatic flow imaging, tumor resection, urogenital surgery, plastic surgery, and miscellaneous procedures. Fifty-nine articles were selected. For each field of application, the overall IDEAL stage was determined to be 2a for biliary tree imaging (10 publications, 102 cases), 1 for vascular perfusion for gastrointestinal procedures (8 publications, 28 cases), 1 for lymphatic flow imaging (12 publications, 33 cases), 2a for tumor resection (20 publications, 238 cases), 2a for urogenital surgery (9 publications, 197 cases), and 1-2a for plastic surgery (4 publications, 26 cases). One report did not belong to any categories. FGS in children is still in an early phase of adoption and development. We recommend using the IDEAL framework as a guide and suggest developing multicenter studies to define the standard guidelines, effectiveness, and outcomes. [ABSTRACT FROM AUTHOR]

Schools can have a significant role in affecting the mental health and wellbeing of both students and staff, with considerable implications for society as a whole. Hence, there is a need for school-based interventions to both assist those experiencing mental health problems and to implement activities and policies that facilitate the enhancement and maintenance of good mental health. Unlike most school mental health interventions that are focussed on, and specific to, the school setting, the Act–Belong–Commit Mentally Healthy Schools Framework is based on the principles of the Act–Belong–Commit community-wide general population mental health promotion campaign, which has been adapted to the school setting via the World Health Organisation's Health Promoting Schools Framework. The Mentally Healthy Schools Framework is a whole-school approach to enhancing both student and staff mental health. This paper reports the findings of a preliminary impact survey administered to students after the adoption of the Framework in a number of primary and secondary schools in Western Australia. Students from two schools that had only recently adopted the Framework completed a "Baseline" questionnaire, and students from three schools that had been implementing the Framework for at least 17 months completed a "Follow-up" questionnaire. The results suggest that the Mentally Healthy Schools Framework, adapted from a community-wide campaign, can have a positive impact on students in terms of increasing openness about mental health, increasing awareness of behaviours conducive to good mental health, and increasing engagement in behaviours to improve their mental health. Such positive impacts have clear implications not only for prevention of mental disorders, but for academic achievement, employment, and overall contribution to society. [ABSTRACT FROM AUTHOR]

Background: Literature on the prevention of medication errors is growing, highlighting that knowledge, attitude and behavior with regard to medication errors are strategic to planning of educational activities and evaluating their impact on professional practice. In this context, the present pilot study aims to translate and validate nursing professionals' knowledge, attitudes and behavior (KAB theory) concerning medication administration errors in ICU from English into Persian. Furthermore, two main objectives of the project were: performing a pilot study among Iranian nurses using the translated questionnaire and carrying out a cultural measurement of the KAB theory concerning medication administration errors in an ICU questionnaire across two groups of Italian and Iranian populations. Methods: A cross-cultural adaptation of an instrument, according to the Checklist for reporting of survey studies (CROSS), was performed. The convenience sample was made up of 529 Iranian and Italian registered nurses working in ICU. An exploratory factor analysis was performed and reliability was assessed. A multi-group confirmatory factor analysis was conducted to test the measurement invariance. Ethical approval was obtained. Results: There was an excellent internal consistency for the 19-item scale. Results regarding factorial invariance showed that the nursing population from Italy and Iran used the same cognitive framework to conceptualize the prevention of medication errors. Conclusions: Findings from this preliminary translation and cross-cultural validation confirm that the questionnaire is a reliable and valid instrument within Persian healthcare settings. Moreover, these findings suggest that Italian and Persian nurses used an identical cognitive framework or mental model when thinking about medication errors prevention. The paper not only provides, for the first time, a validated instrument to evaluate the KAB theory in Iran, but it should promote other researchers in extending this kind of research, supporting those countries where attention to medical error is still increasing. [ABSTRACT FROM AUTHOR]

Radical new possibilities of improved treatment of cancer are on offer from an advanced medical technology already demonstrating its significance: next-generation sequencing (NGS). This refined testing provides unprecedentedly precise diagnoses and permits the use of focused and highly personalized treatments. However, across regions globally, many cancer patients will continue to be denied the benefits of NGS as long as some of the yawning gaps in its implementation remain unattended. The challenges at the regional and national levels are linked because putting the solutions into effect is highly dependent on cooperation between regional- and national-level cooperation, which could be hindered by shortfalls in interpretation or understanding. The aim of the paper was to define and explore the necessary conditions for NGS and make recommendations for effective implementation based on extensive exchanges with policy makers and stakeholders. As a result, the European Alliance for Personalised Medicine (EAPM) developed a maturity framework structured around demand-side and supply-side issues to enable interested stakeholders in different countries to self-evaluate according to a common matrix. A questionnaire was designed to identify the current status of NGS implementation, and it was submitted to different experts in different institutions globally. This revealed significant variability in the different aspects of NGS uptake. Within different regions globally, to ensure those conditions are right, this can be improved by linking efforts made at the national level, where patients have needs and where care is delivered, and at the global level, where major policy initiatives in the health field are underway or in preparation, many of which offer direct or indirect pathways for building those conditions. In addition, in a period when consensus is still incomplete and catching up is needed at a political level to ensure rational allocation of resources—even within individual countries—to enable the best ways to make the necessary provisions for NGS, a key recommendation is to examine where closer links between national and regional actions could complement, support, and mutually reinforce efforts to improve the situation for patients. [ABSTRACT FROM AUTHOR]

Personal assistance (PA) has long been a key support for Irish people with physical and sensory disabilities, but evidence shows that Ireland lacks national standards for allocation, provision and data collection. Addressing a particular gap in understanding the experiences of disabled people, this paper draws on a large-scale mixed-method study with PA service users which was conducted in summer 2021. Overall, the evidence shows satisfaction among many service users, but suggests that systemic shortfalls have a clearly detrimental effect on the functionings and capabilities valued by the participants in relation to their ability to participate in social and economic activities that many people take for granted. The findings of this study provide valuable insights into what good personal assistance means for disabled people's everyday lives and what Irish PA service users want to see change in the system. The findings are grounded in the Irish context, but they are useful to an international audience in clearly showing the value of PA and the importance of meaningfully including disabled people in its design and regulation. [ABSTRACT FROM AUTHOR]

Brain tumors (BTs) are an uncommon but fatal kind of cancer. Therefore, the development of computer-aided diagnosis (CAD) systems for classifying brain tumors in magnetic resonance imaging (MRI) has been the subject of many research papers so far. However, research in this sector is still in its early stage. The ultimate goal of this research is to develop a lightweight effective implementation of the U-Net deep network for use in performing exact real-time segmentation. Moreover, a simplified deep convolutional neural network (DCNN) architecture for the BT classification is presented for automatic feature extraction and classification of the segmented regions of interest (ROIs). Five convolutional layers, rectified linear unit, normalization, and max-pooling layers make up the DCNN's proposed simplified architecture. The introduced method was verified on multimodal brain tumor segmentation (BRATS 2015) datasets. Our experimental results on BRATS 2015 acquired Dice similarity coefficient (DSC) scores, sensitivity, and classification accuracy of 88.8%, 89.4%, and 88.6% for high-grade gliomas. When it comes to segmenting BRATS 2015 BT images, the performance of our proposed CAD framework is on par with existing state-of-the-art methods. However, the accuracy achieved in this study for the classification of BT images has improved upon the accuracy reported in prior studies. Image classification accuracy for BRATS 2015 BT has been improved from 88% to 88.6%. [ABSTRACT FROM AUTHOR]

Early detection of high fall risk is an important process of fall prevention in hospitalized elderly patients. Hospitalized elderly patients can face several falling risks. Monitoring systems can be utilized to protect health and lives, and monitoring models can be less effective if the alarm is not invoked in real time. Therefore, in this paper we propose a monitoring prediction system that incorporates artificial intelligence. The proposed system utilizes a scalable clustering technique, namely the Catboost method, for binary classification. These techniques are executed on the Snowflake platform to rapidly predict safe and risky incidence for hospitalized elderly patients. A later stage employs a deep learning model (DNN) that is based on a convolutional neural network (CNN). Risky incidences are further classified into various monitoring alert types (falls, falls with broken bones, falls that lead to death). At this phase, the model employs adaptive sampling techniques to elucidate the unbalanced overfitting in the datasets. A performance study utilizes the benchmarks datasets, namely SERV-112 and SV-S2017 of the image sequences for assessing accuracy. The simulation depicts that the system has higher true positive counts in case of all health-related risk incidences. The proposed system depicts real-time classification speed with lower training time. The performance of the proposed multi-risk prediction is high at 87.4% in the SERV-112 dataset and 98.71% in the SV-S2017 dataset. [ABSTRACT FROM AUTHOR]