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The sterile paper-plastic barrier system for packaging sterilized medical equipment is studied, the main factors affecting its breakdown are revealed, and the inhalation rate during the pressure sterilization is experimentally analyzed. The results offer a new window of opportunity for a stricter risk-analysis and a robust strategy for the pressure sterilization, and this paper can be served as an example of strict clinical applications. [ABSTRACT FROM AUTHOR]

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Aim: The increase in the number of people with chronic obstructive pulmonary disease (COPD) and the disease burden, has prompted concerted efforts to improve healthcare, particularly outpatient services. In line with these attempts the Partnership-Based Nursing Practice Theoretical Framework for People with COPD was developed to guide outpatient nursing care. The principal approach of the framework is a ‘Dialogue’ with the patients, which has four components: ‘Establishing family involvement’, ‘Assisting living with symptoms’ and ‘Facilitating access to healthcare’, with the primary goal being ‘Enhancement of the health experience’. With new knowledge, research on the framework, and extensive experience in using it, a need arose to modify the framework to maximize its clinical utility. Design: Discursive paper. Methods: A narrative review and critical reflection was conducted to revise the nursing practice framework via selected literature search from 2012 to 2022, research on the framework, and the authors' reflections on the clinical experience of using the framework. Results: The nursing practice framework highlights capacities and possibilities that lie in the nurse–patient relationship. The overarching dialogue in the revised framework includes both patients and families. The action-related component ‘Assisting living with the disease’ was added to the framework to underscore the significance of attempting to understand what may lie ahead for patients and families. The other action-related components are as follows: ‘Assisting living with symptoms’ and ‘Facilitating access to healthcare’. The primary goal remains unchanged: enhancing the ‘Health experience’. Conclusion: Using the revised nursing practice framework in outpatient care may help to enhance the lives of people with COPD and their families, particularly at advanced stages of the disease. It may have transferability to other groups of people living with progressive diseases dealing with complicated health problems, and to reduce the usage of costly healthcare resources such as hospital care. Implications for the Profession and/or Patient Care: The partnership-based nursing practice framework assumes an extension of conventional specialized respiratory service and embraces a comprehensive account for that which may influence the patient's health problems. This guidance, which holistically attends to patient-family needs of living with complicated and progressive health predicaments, is fundamental. It contributes to strengthening the disciplinary focus of nursing, interdisciplinary collaboration, person-family-centred quality nursing care and inspires research initiatives. Critical reflections and updates on nursing practice frameworks, such as this revision, are essential to advance nursing and healthcare. [ABSTRACT FROM AUTHOR]

Background: Papillary thyroid carcinoma (PTC) is the most common thyroid malignancy, and its distant metastasis (PTCDM), although uncommon, seriously affects the survival rate and quality of life of patients. With the rapid development of science and technology, research in the field of PTCDM has accumulated rapidly, presenting a complex knowledge structure and development trend. Methods: In this study, bibliometric analysis was used to collect 479 PTCDMrelated papers published between 2004 and 2023 through the Web of Science (WoS) Core Collection (WoSCC) database. Keyword clustering analysis was performed using VOSviewer and citespace, as well as dual-map overlay analysis, to explore knowledge flows and interconnections between different disciplines. Results: The analysis indicated that China, the United States, and South Korea were the most active countries in conducting research activities. Italy's research was notable due to its higher average citation count. Keyword analysis revealed that "cancer," "papillary thyroid carcinoma," and "metastasis" were the most frequently used terms in these studies. The journal co-citation analysis underscored the dominant roles of molecular biology, immunology, and clinical medicine, as well as the growing importance of computer science in research. Conclusion: This study identified the main trends and scientific structure of PTCDM research, highlighting the importance of interdisciplinary approaches and the crucial role of top academic journals in promoting high-quality research. The findings not only provide valuable information for basic and clinical research on thyroid cancer but also offer guidance for future research directions. [ABSTRACT FROM AUTHOR]

Background: Aesthetics medicine, a controversial branch of clinical medicine known for its high degree of commercialization, faces numerous conflicts, particularly in some developing countries. The global aesthetics medicine industry requires enhancements of its legal and supervision framework and risk management systems. Aims: This paper aimed to provide a comprehensive visual analysis of academic achievements related to regulatory and legal issues in the field of aesthetic medicine and to identify its development trends and research hotspots. Methods: The Web of Science Core Collection was employed to retrieve relevant studies, resulting in a total of 602 research articles after selection. Utilizing bibliometric methods and CiteSpace, this study analyzed the primary countries, institutions, authors, journals, hotspots, frontiers, and trends in this domain. Results: The findings indicated rapid increases in the number of published papers. The United States emerged as the leading contributor with 131 research papers and the highest intermediate centrality. Eleven keyword clusters were identified, with "adolescence" and "office‐based surgery" being the most recent topics. We also analyzed the trends and frontiers of legal research in medical aesthetics. Conclusion: The importance of informed consent has been increasingly emphasized, and research in the field of medical aesthetics has been gradually expanding beyond individual cosmetic procedures. The management system has become more comprehensive, moreover, guidelines and medical laws have been continually published, with research shifting toward a holistic perspective that encompasses patients, medical aesthetic providers, and regulatory authorities in the study of medical aesthetics regulation and legislation. This paper also proposes some innovative directions for future research and applications. [ABSTRACT FROM AUTHOR]

BACKGROUND: Data about performance measures (PM) in patients with ST segment Elevation Myocardial Infarction (STEMI) in low- and middle-income countries is really scarce. One of the reasons is the lack of appropriate measures for these scenarios where coronary intervention is not the standard treatment. OBJECTIVE: This study aimed to develop a set of PM and quality markers for patients with STEMI in these countries. METHODS: Two investigators systematically reviewed existing guidelines and scientific literature to identify potential PM by referring to documents searched through PubMed from 2010 through 2019, using terms "Myocardial Infarction", "STEMI", "quality indicator", and "performance measure". A modified Delphi technique, involving multidisciplinary panel interview, was used. A 15-member multidisciplinary expert panel individually rated each potential indicator on a scale of 1 (lowest) to 5 (highest) during three rounds. All indicators that received a median score ≥4.5, in final round without significant disagreement were included as PM. RESULTS: Through the consensus-building process, 84 potential indicators were found, of which 10 were proposed as performance measures and 2 as quality metrics, as follows: Pre-Hospital Electrocardiogram; Patients with reperfusion therapy; Pre-hospital Reperfusion; Ischemic time less than 120 minutes; System delay time less than 90 minutes; In-hospital Mortality; Complete in-hospital Treatment; Complete in-hospital Treatment in patients with Heart Failure; 30 day-Re-admissions; 30 day-mortality; Patients with in-hospital stress test performed; and, Patients included in rehabilitation programs. CONCLUSION: This document provides the official set of PM of attention in ST segment Elevation Myocardial Infarction of the Cuban Society of Cardiology and Cuban National Group of Cardiology. [ABSTRACT FROM AUTHOR]

Introduction: Over the last decade, the emergence and spread of personalized medicine (PM) have defined a substantial revolution in healthcare. In principle, healthcare system sustainability is challenged by the investments required for research and development, as well as the adoption of PM techniques in routine clinical care. The "Integrating China in the International Consortium for Personalized Medicine" (IC2PerMed) EU-funded project aims to integrate China into the "International Consortium for Personalized Medicine" (ICPerMed). IC2PerMed aims to align the EU and China's research agendas in this field to enable a swift development of approaches in the EU and China with strong leverage upon EU-Chinese collaborations. Methods: Within this project, we first mapped relevant policies on PM in both the EU and China, and then we involved European and Chinese experts in PM in workshops and Delphi surveys in order to identify relevant priorities for the implementation of PM in sustainable healthcare. Results: As a result of this process, we identified nine overarching priorities, each addressing specific aspects of the sustainability of healthcare systems and PM implementation, with the main goal of supporting policymakers in integrating PM approaches in the EU and China. Discussion/conclusion: The implementation of PM in health systems is appealing in terms of improved accuracy in diagnostics, treatment, and prevention of disease, as well as reduction of the side effects resulting from inefficient use of drugs. Research, development, and implementation of needed techniques require time and resources that can slow the adoption of PM in healthcare systems. The nine priorities we identified address some of the most critical points, trying to lay the foundations for a comprehensive approach. [ABSTRACT FROM AUTHOR]

The present editorial summarizes the last 2 calendar years of Advances in Clinical and Experimental Medicine (ACEM) publication (2021 and 2022). The specific aims were: 1) To clarify the classification of papers published in ACEM; 2) To present motivations behind choosing this classification; 3) To show how this classification is reflected in citations. Six categories of papers published in ACEM are presented: editorials, meta-analyses, reviews (including systematic reviews), multicenter studies, research-in-progress studies, and research letters; lack of clear definitions for editorials, research letters and research-in-progress studies is discussed. Thematic fields covered by all categories in 2021 and 2022 are presented and differences in this regard between 2021 and 2022 are highlighted. Reasons for not publishing case reports (CRs) are discussed, with some of the debate on this issue in medical literature summarized. The article type classification used in ACEM in only one of many possible solutions and may be modified in the future -- it should be both clear for the authors and allow for orientation in the journal's content. The motivation for choosing the employed categories stem both from their position on the accepted levels of evidence in evidence-based medicine (EBM) and their potential to be cited. [ABSTRACT FROM AUTHOR]

Objective: Clinical care ratios are used to quantify and benchmark the activity of allied health professionals. This study aims to review previous recommendations and identify what variables may influence them. Method: Data was collected from the core allied health professions (audiology, nutrition and dietetics, occupational therapy, physiotherapy, podiatry, prosthetics and orthotics, psychology, social work and speech pathology) across eight Australian hospitals. Data for 113 staff who were casual or from smaller professions (audiology, podiatry, prosthetics and orthotics and psychology) were excluded due to insufficient numbers for analysis. The remaining data were analysed according to profession, seniority (tiers 1, 2 and 3) and employment status (permanent versus casual staff). A two-way ANOVA was performed to assess the association of clinical care ratios with tier, profession, employment status and gender. Results: Data from 1246 staff from the five larger professions at participating hospitals were analysed. There were no interactions between profession and gender (P = 0.185) or employment status (P = 0.412). The relationship between clinical care ratio and profession was modified by tier (interaction term, P = 0.014), meaning that differences in clinical care ratios between professions depended on the tier. Conclusion: This research has confirmed that clinical care ratios are a useful tool in workload management and determining staffing levels for allied health professionals. The recommendations from this research provide a starting point that can be finessed with reference to profession, model of care, workforce structure, governance and training requirements. This will lead to increased staff wellbeing and improved patient outcomes. What is known about this topic? Clinical care ratios are a useful tool to quantify, monitor and compare workloads of allied health professionals. What does this paper add? This paper confirms that clinical care ratios are a useful workforce planning tool and that when developing roles and models of care, clinical care ratios need to be incorporated into staffing requests and considered as part of workload management tools. What are the implications for practitioners? Clinical care ratios enable the quantification and benchmarking of direct and clinical support activity components of a workload and can be used when planning new services and reviewing current services. [ABSTRACT FROM AUTHOR]

Biobanking plays a pivotal role in biomedical research by providing standardized processing, precise storing, and management of biological sample collections along with the associated data. Effective data management is a prerequisite to ensure the integrity, quality, and accessibility of these resources. This review provides a current landscape of data management in biobanking, discussing key challenges, existing strategies, and potential future directions. We explore multiple aspects of data management, including data collection, storage, curation, sharing, and ethical considerations. By examining the evolving technologies and methodologies in biobanking, we aim to provide insights into addressing the complexities and maximizing the utility of biobank data for research and clinical applications. [ABSTRACT FROM AUTHOR]

Introduction: A hiatal hernia (HH) can be defined as a condition in which elements from the abdominal cavity herniate through the oesophageal hiatus in the mediastinum and, in the majority of cases, parts of the proximal stomach. Today, the role of HHs within the complex entity of gastroesophageal reflux disease (GERD) is very important with regard to its pathophysiology, severity, and therapeutic and prognostic options. Despite this, the application and stringent use of the worldwide accepted classification (Skinner and Belsey: Types I–IV) are lacking. The aim of this study was to carry out a systematic review of the clinical applications of HH classifications and scientific documentation over time, considering their value in diagnosis and treatment. Methods: Following the PRISMA concept, all abstracts published on pubmed.gov until 12/2023 (hiatal hernia) were reviewed, and those with a focus and clear description of the application of the current HH classification in the full-text version were analysed to determine the level of classification and its use within the therapeutic context. Results: In total, 9342 abstracts were screened. In 9199 of the abstracts, the reports had a different focus than HH, or the HH classification was not used or was incompletely applied. After further investigation, 60 papers were used for a detailed analysis, which included more than 12,000 patient datapoints. Among the 8904 patients, 83% had a Type I HH; 4% had Type II; 11% had Type III; and 1% had Type IV. Further subgroup analyses were performed. Overall, the precise application of the HH classification has been insufficient, considering that only 1% of all papers and only 54% of those with a special focus on HH have documented its use. Conclusions: The application and documentation of a precise HH classification in clinical practice and scientific reports are decreasing, which should be rectified for the purpose of scientific comparability. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has made tremendous advances in recent years and will presumably have a major impact in health care. These advancements are expected to affect different aspects of clinical medicine and lead to improvement of delivered care but also optimization of available resources. As a modern specialty that extensively relies on imaging, interventional radiology (IR) is primed to be on the forefront of this development. This is especially relevant since IR is a highly advanced specialty that heavily relies on technology and thus is naturally susceptible to disruption by new technological developments. Disruption always means opportunity and interventionalists must therefore understand AI and be a central part of decision-making when such systems are developed, trained, and implemented. Furthermore, interventional radiologist must not only embrace but lead the change that AI technology will allow. The CIRSE position paper discusses the status quo as well as current developments and challenges. [ABSTRACT FROM AUTHOR]

The development and rapid progression of cancer are major social problems. Medical diagnostic techniques and smooth clinical care of cancer are new necessities that must be supported by innovative diagnostic methods and technologies. Current molecular diagnostic tools based on the detection of blood protein markers are the most common tools for cancer diagnosis. Biosensors have already proven to be a cost-effective and accessible diagnostic tool that can be used where conventional laboratory methods are not readily available. Paper-based biosensors offer a new look at the world of analytical techniques by overcoming limitations through the creation of a simple device with significant advantages such as adaptability, biocompatibility, biodegradability, ease of use, large surface-to-volume ratio, and costeffectiveness. In this review, we covered the characteristics of exosomes and their role in tumor growth and clinical diagnosis, followed by a discussion of various paper-based biosensors for exosome detection, such as dipsticks, lateral flow assays (LFA), and microfluidic paper-based devices (µPADs). We also discussed the various clinical studies on paper-based biosensors for exosome detection. [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]

This editorial discusses graphical abstracts (GAs) as a relatively new tool used to concisely summarize a scientific paper and promote it on social media to boost the visibility of research and the number of citations. This article attempts to define GA as clearly as possible and to explain the role of GAs as scientific communication tools in medical journals. A clear definition of a GA is lacking. Several definitions from the literature are presented, which illustrates that the terms "visual abstract" and "graphical abstract" can be used interchangeably. The role of GAs can be described in 3 aspects: 1) time required for communication (GAs are meant to convey the key contents of a scientific paper in a time much shorter than required for reading the full text), 2) means of communication (social media), and 3) mechanism of communication (research results in many fields of medicine can be better conveyed through visual or at least more visual means rather than plain text). A review of the existing literature concerning the effectiveness of GAs presents studies regarding the use of GAs in promoting scientific papers on Twitter - visual abstracts attracted significantly more engagement than plain English ones, especially from medical professionals. Visual abstract tweets were associated with a significantly higher number of impressions, retweets, and link clicks compared to text abstract tweets. Journals that have introduced GAs demonstrated significantly higher impact factor (IF) increases for the past 3 years than those of journals without GAs. The longer GAs have been utilized in a journal, the higher the IF the journal had. The experience of the editors of Advances in Clinical and Experimental Medicine (ACEM) concerning GAs are discussed, divided by types of papers published in this journal (original papers, meta-analyses, reviews, research-in-progress articles, and editorials), illustrated with examples of well-prepared GAs, and supplemented with a brief description of the feedback from authors and readers amassed following the introduction of GAs in ACEM. Finally, the authors offer the readership of ACEM 8 practical tips on how to prepare a useful GA, and list 8 common mistakes and misconceptions regarding GAs - both in text form and summarized in tables. The conclusion of the paper is that there is currently no universal standard for GAs, which can lead to inconsistencies in their formats and content; therefore, more detailed guidelines to standardize GAs for scientific research are warranted. [ABSTRACT FROM AUTHOR]

Purpose: Post-stroke patients constitute a large group suffering from disabilities that require rehabilitation long after discharge. Quality indicators (QIs) that specify the minimum expected standard of quality in outpatient rehabilitation could contribute to the valuation of the effectiveness of rehabilitation on decision-makers, health professionals, patients, and relatives. This review aims to identify QIs focusing on physiotherapists' outpatient rehabilitation of stroke patients. Materials and methods: The databases Cinahl, Cochrane, Embase, PubMed, and Scopus were searched for publications, and the grey literature was also searched. Through a pragmatic appraisal and assessment with the modified AGREE II-QI instrument, relevant QIs were selected. Results: A total of 1129 papers were retrieved, and five papers presenting 91 QIs were included. Thirty-six QIs were considered relevant to physiotherapy in outpatient rehabilitation. The QIs cover structure, process, and outcome and concern basic mobility, spasticity, organisation and content of the training, patient-reported outcome measures, education of patients and relatives, and follow-up and goal setting. Conclusions: The study appraised 36 QIs relevant for outpatient rehabilitation of stroke survivors conducted by physiotherapists. A Delphi panel is required to develop the final set of QIs for physiotherapists and, subsequently, the development of a core set of multidisciplinary QIs. [ABSTRACT FROM AUTHOR]

In recent years, Raman spectroscopy has garnered growing interest in the field of biomedical research. It offers a non-invasive and label-free approach to defining the molecular fingerprint of immune cells. We utilized Raman spectroscopy on optically trapped immune cells to investigate their molecular compositions. While numerous immune cell types have been studied in the past, the characterization of living human CD3/CD28-stimulated T cell subsets remains incomplete. In this study, we demonstrate the capability of Raman spectroscopy to readily distinguish between naïve and stimulated CD4 and CD8 cells. Additionally, we compared these cells with monocytes and discovered remarkable similarities between stimulated T cells and monocytes. This paper contributes to expanding our knowledge of Raman spectroscopy of immune cells and serves as a launching point for future clinical applications. [ABSTRACT FROM AUTHOR]

The integration of advanced diagnostic technologies in healthcare is crucial for enhancing the accuracy and efficiency of disease detection and management. This paper presents an innovative approach combining machine learning-assisted 3D flexible fiber-based organic transistor (FOT) sensors for high-accuracy metabolite analysis and potential diagnostic applications. Machine learning algorithms further enhance the analytical capabilities of FOT sensors by effectively processing complex data, identifying patterns, and predicting diagnostic outcomes with 100% high accuracy. We explore the fabrication and operational mechanisms of these transistors, the role of machine learning in metabolite analysis, and their potential clinical applications by analyzing practical human blood samples for hypernatremia syndrome. This synergy not only improves diagnostic precision but also holds potential for the development of personalized diagnostics, tailoring treatments for individual metabolic profiles. [ABSTRACT FROM AUTHOR]

Diabetic retinopathy, a microvascular condition associated with an increased risk of cardiovascular disease, poses a substantial global healthcare challenge. The demand for timely diagnosis has prompted the development of automated solutions due to the scarcity of specialists. In this paper, we introduce a ground-breaking approach to diabetic retinopathy detection – the Diabetic Retinopathy Residual Network (DR-ResNet +). The proposed model leverages the power of deep learning to automatically extract features, achieving optimal results in just seven training epochs. The DR-ResNet + architecture is meticulously designed by incorporating a series of convolutional, pooling, and fully connected layers. Hyperparameter optimization is done using both grid and random search techniques to ensure peak performance. To validate the proposed model's robustness, simulated results are compared with well-established deep learning models, such as GoogleNet, VGG16, and AlexNet, using a comprehensive Kaggle dataset comprising over 35,000 retinal images. Moreover, the proposed model is also tested on external datasets like MESSIDOR and IDRiD for its validation. Simulation results reveal that the proposed DR-ResNet + model not only reduces training time by an impressive 95% but also exhibits outstanding performance metrics, including an accuracy of 0.9898, specificity of 0.9916, precision of 0.9670, sensitivity of 0.9829, and an F1-score of 0.9748. These findings position the proposed model as exceptionally well-suited for real-time clinical applications, offering a potential game-changer in diabetic retinopathy diagnosis. This paper presents DR-ResNet + as a pioneering advancement in diabetic retinopathy diagnosis. With its rapid training, superior accuracy, and significant real-world implications, the model holds promise for transforming the landscape of healthcare by providing timely and precise diagnoses for this critical condition. [ABSTRACT FROM AUTHOR]

Dissolving microneedles (DMNs) represent an innovative advancement in drug delivery and skincare technologies, offering significant advantages compared to traditional needles. This paper presents an overview of the historical evolution of microneedles and the rise of dissolving types, exploring their definition, concept, and diverse clinical applications such as vaccinations, drug delivery, and skincare treatments. Design and manufacturing considerations cover the materials employed, fabrication techniques, and methods for characterizing DMNs, focusing on aspects like mechanical strength, dissolution rate, and delivery efficiency. The mechanism of action section examines skin penetration mechanics, the process of microneedle dissolution, controlled release of active compounds, and considerations of biocompatibility and safety. Recent developments in DMNs encompass technological advancements, improved delivery systems, and updates on clinical trials and studies. Challenges and opportunities in scaling up production, overcoming market adoption barriers, and future research directions are discussed, aiming to address unmet medical needs and expand applications. In summary, DMNs have the potential to transform drug delivery and skincare treatments, with ongoing advancements aimed at tackling current challenges and unlocking new opportunities for enhanced healthcare outcomes. [ABSTRACT FROM AUTHOR]

A knowledge of the complex phenomena that regulate T1 signal on Magnetic Resonance Imaging is essential in clinical practice for a more effective characterization of pathological processes. The authors review the physical basis of T1 Relaxation Time and the fundamental aspects of physics and chemistry that can influence this parameter. The main substances (water, fat, macromolecules, methemoglobin, melanin, Gadolinium, calcium) that influence T1 and the different MRI acquisition techniques that can be applied to enhance their presence in diagnostic images are then evaluated. An extensive case illustration of the different phenomena and techniques in the areas of CNS, abdomino-pelvic, and osteoarticular pathology is also proposed. Critical relevance statement: T1 relaxation time is strongly influenced by numerous factors related to tissue characteristics and the presence in the context of the lesions of some specific substances. An examination of these phenomena with extensive MRI exemplification is reported. Key Points: The purpose of the paper is to illustrate the chemical-physical basis of T1 Relaxation Time. MRI methods in accordance with the various clinical indications are listed. Several examples of clinical application in abdominopelvic and CNS pathology are reported. [ABSTRACT FROM AUTHOR]

Since three-dimensional (3D) bioprinting has emerged, it has continuously to evolved as a revolutionary technology in surgery, offering new paradigms for reconstructive and regenerative medical applications. This review highlights the integration of 3D printing, specifically bioprinting, across several surgical disciplines over the last five years. The methods employed encompass a review of recent literature focusing on innovations and applications of 3D-bioprinted tissues and/or organs. The findings reveal significant advances in the creation of complex, customized, multi-tissue constructs that mimic natural tissue characteristics, which are crucial for surgical interventions and patient-specific treatments. Despite the technological advances, the paper introduces and discusses several challenges that remain, such as the vascularization of bioprinted tissues, integration with the host tissue, and the long-term viability of bioprinted organs. The review concludes that while 3D bioprinting holds substantial promise for transforming surgical practices and enhancing patient outcomes, ongoing research, development, and a clear regulatory framework are essential to fully realize potential future clinical applications. [ABSTRACT FROM AUTHOR]

Motivated by a recent trend that advocates a reassessment of the aim of medical science and clinical practice, this paper investigates the epistemic aims of biomedical research. Drawing on contemporary discussions in epistemology and the philosophy of science, along with a recent study on scurvy, this paper (1) explores the concept of understanding as the aim of scientific inquiry and (2) establishes a framework that will guide the examination of its forms in biomedical research. Using the case of Tuberculosis (TB), (3) it is argued that grasping a mechanistic explanation is crucial for reaching a threshold of understanding at which we may speak of an objectual, biomedical understanding of TB. [ABSTRACT FROM AUTHOR]

Clinical care delivered via telemedicine has become an accepted mode of health care delivery for many patients. There is an urgent need to understand quality of care in the telemedicine environment. This position paper presents 6 recommendations to ensure appropriate use of performance measures to evaluate the quality of clinical care that incorporates telemedicine. There has been an exponential growth in the use of telemedicine services to provide clinical care, accelerated by the COVID-19 pandemic. Clinical care delivered via telemedicine has become a major and accepted method of health care delivery for many patients. There is an urgent need to understand quality of care in the telemedicine environment. This American College of Physicians position paper presents 6 recommendations to ensure the appropriate use of performance measures to evaluate quality of clinical care provided in the telemedicine environment. [ABSTRACT FROM AUTHOR]

Analytical performance specifications (APS) are used for the quantitative assessment of assay analytical performance, with the aim of providing information appropriate for clinical care of patients. One of the major locations where APS are used is in the routine clinical laboratory. These may be used to assess and monitor assays in a range of settings including method selection, method verification or validation, external quality assurance, internal quality control and assessment of measurement uncertainty. The aspects of assays that may be assessed include imprecision, bias, selectivity, sample type, analyte stability and interferences. This paper reviews the practical use of APS in a routine clinical laboratory, using the laboratory I supervise as an example. [ABSTRACT FROM AUTHOR]

Objective: This scoping review aims to map the available literature and provide an overview of the published articles discussing the impact of electronic prescribing on medication errors and pharmacy workflow. Methods: The literature search was conducted using PubMed®, Web of Science®, and the Cochrane Database of Systematic Reviews®, as well as grey literature reports, using the search terms and related components of "pharmacists", "electronic prescribing", "medication errors", and "efficiency". The search included all articles that were published from January 2011 to September 2023. Twenty-two relevant articles were identified and fully reviewed, ten of which were included in this review. Results: Electronic prescribing (e-prescribing) provides a solution for some of the challenges that are associated with handwritten and paper prescriptions. However, the implementation of e-prescribing systems has been recognized as a source of new unforeseen medication errors in all the reviewed articles. Productivity in community pharmacies has been affected with receiving electronic prescriptions (e-prescriptions) and having to deal with the issues that arise from them. The pharmacists' interventions were not eliminated with e-prescriptions compared to other prescription formats. The most frequently reported reason for intervention was related to incomplete instructions in the field of directions of use. Other common challenges with e-prescriptions were related to missing information, quantity, inappropriate dose, dosage form, and drug. Discussion: This review demonstrates the scarcity of research about the impact of electronic prescribing on medication error and efficiency in community pharmacies. In the literature, most of the studies had mainly focused on hospital pharmacies. The literature search demonstrated that there are still some barriers to overcome with e-prescribing systems and that medication errors were not fully eliminated with e-prescriptions. New errors have been identified with e-prescriptions, all of which caused delays in processing, which affected the productivity of the pharmacy staff, and could have negatively impacted patients' safety if not properly resolved. Conclusion: e-Prescribing solved some of the challenges associated with illegibility of handwritten prescriptions. However, more time is required to allow e-prescribing systems to mature. Further training for prescribers and pharmacists is also recommended before and after the implementation. [ABSTRACT FROM AUTHOR]

Objective: HealthPathways is a web-based platform designed for use during a consultation to offer health professionals locally agreed information to support clinical and referral decision making. This study aimed to investigate whether access to specific HealthPathways pages in the North Coast New South Wales (NSW) region increased during specific critical events. High pageviews is used as a proxy for platform usefulness, and/or trust as a source of up-to-date information. Methods: Data were extracted from Google Analytics from December 2015 to December 2021. Descriptive statistics were generated for the total number of pageviews for all pages by month and year (2015–2021); for the top 15 most viewed pages in 2019, February–March 2020 inclusive (early COVID-19 pandemic period), 10–24 March 2021 (North Coast NSW region local disaster declaration period) and 26 June–11 October 2021 (NSW COVID-19 lockdown period); and for monthly pageviews for the Influenza Immunisation pathway (2016–2021). Results: Access to specific pages in HealthPathways increased alongside the occurrence of critical events affecting the region. Spikes in access to specific pages were seen during COVID-19 lockdown periods, during natural disasters, as well as during the annual influenza season. Conclusions: HealthPathways is viewed as a useful and trusted source of information for health professionals in the North Coast NSW region. HealthPathways provides an opportunity for timely dissemination of information during critical events, including natural disasters and emergencies. What is known about the topic? Evidence from New Zealand suggests that HealthPathways is viewed as a useful and trusted source of information by health professionals during critical and emergency events, and when information needs are subject to frequent change. What does this paper add? This paper provides evidence in the Australian context that health professionals access specific pages in HealthPathways at higher rates during critical and emergency events. What are the implications for practitioners? HealthPathways has the capacity to provide timely and accurate information to health professionals during critical and emergency events, as well as to identify their emerging information needs. [ABSTRACT FROM AUTHOR]

Healthcare is a critical area where blockchain technology (BT) is being heralded as a potential game-changer for facilitating secure and efficient data sharing. The purpose of this review is to examine BT applications, performance challenges, and solutions in healthcare. To begin, This review paper explores popular blockchain networks for data exchange, encompassing both public and permissioned platforms, such as Ethereum and Hyperledger Fabric. This paper analyzes the potential applications of BT's decentralized, immutable, and smart contract capabilities in healthcare settings, including secure and interoperable health data exchange, patient consent management, drug supply chain oversight, and clinical trial management. The healthcare industry might greatly benefit from the increased privacy, transparency, and accessibility that these technologies provide. Despite BT's promising medical uses, the technology is not without its drawbacks. High energy consumption, throughput, and scalability are all concerns. We wrapped up by discussing the solutions that have been implemented, including consensus processes, scalability measures like sharding, and off-chain transactions that are designed to mitigate the drawbacks. [ABSTRACT FROM AUTHOR]

Benign conditions of the lower urinary tract, including benign prostatic hyperplasia, overactive bladder syndrome, and stress urinary incontinence, are frequent in the general population. Despite their benign nature, they have major adverse effects on the quality of life of the afflicted patients and their partners. Despite major progress in the diagnosis and treatment of these conditions, improved understanding and management of these patients remain substantial medical needs. This editorial discusses some recent high-quality articles published in the Journal of Clinical Medicine on the understanding of the epidemiology, pathophysiology, diagnostic, and treatment of benign diseases of the lower urinary tract tissues such as the bladder and prostate. [ABSTRACT FROM AUTHOR]

Introduction: Osteoporosis is a major disease state associated with significant morbidity, mortality, and health care costs. Less than half of the individuals sustaining a low energy hip fracture are diagnosed and treated for the underlying osteoporosis. Objective: A multidisciplinary Canadian hip fracture working group has developed practical recommendations to meet Canadian quality indicators in post hip fracture care. Methods: A comprehensive narrative review was conducted to identify and synthesize key articles on post hip fracture orthogeriatric care for each of the individual sections and develop recommendations. These recommendations are based on the best evidence available today. Conclusion: Recommendations are anticipated to reduce recurrent fractures, improve mobility and healthcare outcomes post hip fracture, and reduce healthcare costs. Key messages to enhance postoperative care are also provided. [ABSTRACT FROM AUTHOR]

In recent years, medical image segmentation methods based on deep learning have been of great importance for disease diagnosis and treatment planning in clinical medicine. U-Net and a series of networks derived from it have led the research trend in medical image segmentation. In this paper, an end-to-end lightweight MLP-based medical image segmentation network G-UNeXt is proposed to address the problems of high computational complexity, large number of model parameters and slow inference in medical image segmentation networks. Firstly, this paper proposes a new skip connection method Ghost path. It reduces the semantic gap between features while combining different levels of features, and exploits the redundancy of features, which helps to improve the segmentation ability of the model for details. Secondly, this paper designs a cheap and effective G-S block, which uses low-cost linear operations to mine potential ghost features outside of intrinsic features. The G-S block reduce the number of parameters and computational complexity compared to traditional convolution. In addition, it can also adaptively calibrate the channel feature response, enhancing the characterization capability of the network and bringing some performance improvement at a lower computational cost. Finally, we build the lightweight MLP-based network G-UNeXt used Ghost path and G-S block for real-time segmentation of medical images. The results tested on the benchmark medical image segmentation datasets BUSI and ISIC2018 show that G-UNeXt reduces the parameters by 33% and the computational complexity by 23.7% compared with UNeXt. In addition, G-UNeXt also obtains faster inference speed and higher segmentation accuracy. [ABSTRACT FROM AUTHOR]

Malignant tumor, one of the most threatening diseases to human health, has been comprehensively treated with surgery, radiotherapy, chemotherapy and targeted therapy, but the prognosis has not always been ideal. In the past decade, immunotherapy has shown increased efficacy in tumor treatment; however, for immunotherapy to achieve its fullest potential, obstacles are to be conquered, among which tumor microenvironment (TME) has been widely investigated. In remodeling the tumor immune microenvironment to inhibit tumor progression, macrophages, as the most abundant innate immune population, play an irreplaceable role in the immune response. Therefore, how to remodel TME and alter the recruitment and polarization status of tumor-associated macrophages (TAM) has been of wide interest. In this context, nanoparticles, photodynamic therapy and other therapeutic approaches capable of affecting macrophage polarization have emerged. In this paper, we categorize and organize the existing means and methods for reprogramming TAM to provide ideas for clinical application of novel tumor-related therapies. [ABSTRACT FROM AUTHOR]

Platelets play a significant role in hemostasis, forming plugs at sites of vascular injury to limit blood loss. However, if platelet activation is not controlled, it can lead to thrombotic events, such as myocardial infarction and stroke. To prevent this, antiplatelet agents are used in clinical settings to limit platelet activation in patients at risk of arterial thrombotic events. However, their use can be associated with a significant risk of bleeding. An enhanced comprehension of platelet signaling mechanisms should facilitate the identification of safer targets for antiplatelet therapy. Over the past decade, our comprehension of the breadth and intricacy of signaling pathways that orchestrate platelet activation has expanded exponentially. Several recent studies have provided further insight into the regulation of platelet signaling events and identified novel targets against which to develop novel antiplatelet agents. Antiplatelet drugs are essential in managing atherothrombotic vascular disease. The current antiplatelet therapy in clinical practice is limited in terms of safety and efficacy. Novel compounds have been developed in response to patient variability and resistance to aspirin and/or clopidogrel. Recent studies based on randomized controlled trials and systematic reviews have definitively demonstrated the role of antiplatelet therapy in reducing the risk of cardiovascular events. Antiplatelet therapy is the recommended course of action for patients with established atherosclerosis. These studies compared monotherapy with a P2Y12 inhibitor versus aspirin for secondary prevention. However, in patients undergoing percutaneous coronary intervention, it is still unclear whether the efficacy of P2Y12 inhibitor monotherapy after a short course of dual antiplatelet therapy depends on the type of P2Y12 inhibitor. This paper focuses on the advanced-stage evaluation of several promising antiplatelet drugs. [ABSTRACT FROM AUTHOR]

This paper reviews the latest trends and applications of silicone in ophthalmology, especially related to intraocular lenses (IOLs). Silicone, or siloxane elastomer, as a synthetic polymer, has excellent biocompatibility, high chemical inertness, and hydrophobicity, enabling wide biomedical applications. The physicochemical properties of silicone are reviewed. A review of methods for mechanical and in vivo characterization of IOLs is presented as a prospective research area, since there are only a few available technologies, even though these properties are vital to ensure medical safety and suitability for clinical use, especially if long-term function is considered. IOLs represent permanent implants to replace the natural lens or for correcting vision, with the first commercial foldable lens made of silicone. Biological aspects of posterior capsular opacification have been reviewed, including the effects of the implanted silicone IOL. However, certain issues with silicone IOLs are still challenging and some conditions can prevent its application in all patients. The latest trends in nanotechnology solutions have been reviewed. Surface modifications of silicone IOLs are an efficient approach to further improve biocompatibility or to enable drug-eluting function. Different surface modifications, including coatings, can provide long-term treatments for various medical conditions or medical diagnoses through the incorporation of sensory functions. It is essential that IOL optical characteristics remain unchanged in case of drug incorporation and the application of nanoparticles can enable it. However, clinical trials related to these advanced technologies are still missing, thus preventing their clinical applications at this moment. [ABSTRACT FROM AUTHOR]

Universal health coverage has been proposed as a strategy to improve health in low- and middle-income countries, but this depends on a good provision of health services. Under-5 mortality (U5M) reflects the quality of health services, and its reduction has been a milestone in modern society, reducing global mortality rates by more than two-thirds between 1990 and 2020. However, despite these impressive achievements, they are still insufficient, and most deaths in children under 5 can be prevented with the provision of timely and high-quality health services. The aim of this paper is to conduct a literature review on amenable (treatable) mortality in children under 5. This indicator is based on the concept that deaths from certain causes should not occur in the presence of timely and effective medical care. A systematic and exhaustive review of available literature on amenable mortality in children under 5 was conducted using MEDLINE/PubMed, Cochrane CENTRAL, OVID medline, Scielo, Epistemonikos, ScienceDirect, and Google Scholar in both English and Spanish. Both primary sources, such as scientific articles, and secondary sources, such as bibliographic indices, websites, and databases, were used. Results: The main cause of amenable mortality in children under 5 was respiratory disease, and the highest proportion of deaths occurred in the perinatal period. Approximately 65% of avoidable deaths in children under 5 were due to amenable mortality, that is, due to insufficient quality in the provision of health services. Most deaths in all countries and around the world are preventable, primarily through effective and timely access to healthcare (amenable mortality) and the management of public health programs focused on mothers and children (preventable mortality). [ABSTRACT FROM AUTHOR]

Aim(s): To assess the effectiveness of sub‐epidermal moisture (SEM) assessment technology in the detection of early‐stage pressure damage in a critical care unit (CCU) and dark skin tone patients and its impact on hospital‐acquired pressure injury (HAPI) incidence. Design: Quality improvement study employing Kurt Lewin's change model emphasizing planning, implementation, evaluation and sustainable change. Methods: The study evaluated 140 adult patients admitted to the CCU over a 24‐week period, from July to December 2022. Retrospective analysis of standard PI care pathways was performed in 90 patients admitted during a 12‐week pre‐implementation period. Fifty patients were admitted through the subsequent 12‐week implementation period. SEM assessments were performed daily at the sacrum and heels and interventions were applied based on SEM assessments; SEM delta ≥0.6 indicating localized oedema or persistent focal oedema. Statistical analyses were performed on anonymized data. Results: Pre‐implementation HAPI incidence was 8.9% (N = 8/90). All eight patients were African American with varying skin tones. A 100% reduction in HAPI incidence was achieved in the implementation period which included 35 African American patients. The relative risk of HAPI incidence was 1.6 times higher in the pre‐implementation group. Conclusion: Implementing SEM assessment technology enabled equitable PI care for all population types and resulted in a 100% reduction of PIs in our CCU. Objective SEM assessments detected early‐stage PIs, regardless of skin tone and enabled providing interventions to specific anatomies developing tissue damage as opposed to universal preventive interventions. Implications: PI care pathways relying on visual and tactile skin assessments are inherently biased in providing equitable care for dark skin tone patients. Implementing SEM assessments empowers healthcare practitioners in driving objective clinical interventions, eliminates bias and enables positive PI health outcomes. Impact: Implementing SEM assessment technology had three main effects: it detected early tissue damage regardless of skin tone (detection effect), enabled anatomy‐specific interventions (treatment effect) and prevented PIs across all population types (prevention effect). The authors have adhered to the Standards for Quality Improvement Reporting Excellence (SQUIRE) 2.0 guidelines. Patient or Public Contribution: No patient or public contribution. What does this paper contribute to the wider global clinical community? Addressing health inequities in pressure injury prevention; Demonstrated effectiveness across patient populations; Resource optimization and enhanced patient safety. [ABSTRACT FROM AUTHOR]

Neurodegenerative diseases are a significant challenge to global healthcare, and oxidative stress plays a crucial role in their development. This paper presents a comprehensive analysis of the neuroprotective potential of olive oil, with a primary focus on its antioxidant properties. The chemical composition of olive oil, including key antioxidants, such as oleuropein, hydroxytyrosol, and oleocanthal, is systematically examined. The mechanisms by which these compounds provide neuroprotection, including counteracting oxidative damage and modulating neuroprotective pathways, are explored. The neuroprotective efficacy of olive oil is evaluated by synthesizing findings from various sources, including in vitro studies, animal models, and clinical trials. The integration of olive oil into dietary patterns, particularly its role in the Mediterranean diet, and its broader implications in neurodegenerative disease prevention are also discussed. The challenges in translating preclinical findings to clinical applications are acknowledged and future research directions are proposed to better understand the potential of olive oil in mitigating the risk of neurodegenerative conditions. This review highlights olive oil not only as a dietary component, but also as a promising candidate in preventive neurology, advocating for further investigation in the context of neurodegenerative diseases. [ABSTRACT FROM AUTHOR]

Low-Dose computer tomography (LDCT) is an ideal alternative to reduce radiation risk in clinical applications. Although supervised-deep-learning-based reconstruction methods have demonstrated superior performance compared to conventional model-driven reconstruction algorithms, they require collecting massive pairs of low-dose and norm-dose CT images for neural network training, which limits their practical application in LDCT imaging. In this paper, we propose an unsupervised and training data-free learning reconstruction method for LDCT imaging that avoids the requirement for training data. The proposed method is a post-processing technique that aims to enhance the initial low-quality reconstruction results, and it reconstructs the high-quality images by neural work training that minimizes the ℓ1-norm distance between the CT measurements and their corresponding simulated sinogram data, as well as the total variation (TV) value of the reconstructed image. Moreover, the proposed method does not require to set the weights for both the data fidelity term and the plenty term. Experimental results on the AAPM challenge data and LoDoPab-CT data demonstrate that the proposed method is able to effectively suppress the noise and preserve the tiny structures. Also, these results demonstrate the rapid convergence and low computational cost of the proposed method. The source code is available at https://github.com/linfengyu77/IRLDCT. [ABSTRACT FROM AUTHOR]

Medical Visual Question Answering (Med-VQA) faces significant limitations in application development due to sparse and challenging data acquisition. Existing approaches focus on multi-modal learning to equip models with medical image inference and natural language understanding, but this worsens data scarcity in Med-VQA, hindering clinical application and advancement. This paper proposes the ITLTA framework for Med-VQA, designed based on field requirements. ITLTA combines multi-label learning of medical images with the language understanding and reasoning capabilities of large language models (LLMs) to achieve zero-shot learning, meeting natural language module needs without end-to-end training. This approach reduces deployment costs and training data requirements, allowing LLMs to function as flexible, plug-and-play modules. To enhance multi-label classification accuracy, the framework uses external medical image data for pretraining, integrated with a joint feature and label attention mechanism. This configuration ensures robust performance and applicability, even with limited data. Additionally, the framework clarifies the decision-making process for visual labels and question prompts, enhancing the interpretability of Med-VQA. Validated on the VQA-Med 2019 dataset, our method demonstrates superior effectiveness compared to existing methods, confirming its outstanding performance for enhanced clinical applications. [ABSTRACT FROM AUTHOR]

Introduction: Globally, healthcare organizations have transitioned from paper-based documentation to electronic health records (EHR), including in Saudi Arabia. However, the adoption of EHR at the national level in Saudi Arabia needs more attention. Thus, this study aimed to determine the workflow integration of EHR and associated factors. Objectives: The specific aims were to examine the level of EHR use and workflow integration among nurses, to determine the differences in EHR use and workflow integration based on nurses' demographic characteristics, and to determine the association between the predictive factors and EHR workflow integration. Methods: This is a cross-sectional, correlational descriptive study. The data were collected from 293 nurses using the convenience sampling method. The participating nurses completed a questionnaire that included two measures: the Information System Use Survey and the Workflow Integration Survey (WIS). The data were analyzed using descriptive and multivariate statistics with SPSS software. Results: The nurses had a positive perception of EHR use and workflow. The EHR use scores differed based on workplace (P <.01), education level (P <.05), and area of practice (P <.001). Similarly, the EHR workflow integration scores varied according to workplace (P <.05), education level (P <.05), and area of practice (P <.001). Education level and workplace significantly predicted information system use. Furthermore, education level and information system use significantly predicted the EHR integration into nurses' workflow. Conclusion: The nurses expressed a greater perceived use of EHR regarding the integrated health information system, which was a predictor of EHR integration into nurses' workflow. [ABSTRACT FROM AUTHOR]

Automatically segmenting polyps from colonoscopy videos is crucial for developing computer-assisted diagnostic systems for colorectal cancer. Existing automatic polyp segmentation methods often struggle to fulfill the real-time demands of clinical applications due to their substantial parameter count and computational load, especially those based on Transformer architectures. To tackle these challenges, a novel lightweight long-range context fusion network, named LightCF-Net, is proposed in this paper. This network attempts to model long-range spatial dependencies while maintaining real-time performance, to better distinguish polyps from background noise and thus improve segmentation accuracy. A novel Fusion Attention Encoder (FAEncoder) is designed in the proposed network, which integrates Large Kernel Attention (LKA) and channel attention mechanisms to extract deep representational features of polyps and unearth long-range dependencies. Furthermore, a newly designed Visual Attention Mamba module (VAM) is added to the skip connections, modeling long-range context dependencies in the encoder-extracted features and reducing background noise interference through the attention mechanism. Finally, a Pyramid Split Attention module (PSA) is used in the bottleneck layer to extract richer multi-scale contextual features. The proposed method was thoroughly evaluated on four renowned polyp segmentation datasets: Kvasir-SEG, CVC-ClinicDB, BKAI-IGH, and ETIS. Experimental findings demonstrate that the proposed method delivers higher segmentation accuracy in less time, consistently outperforming the most advanced lightweight polyp segmentation networks. [ABSTRACT FROM AUTHOR]

Stepper motors are synchronous electric actuators with incremental displacement that can be controlled in open loop in position or speed. Unfortunately, the rotor oscillations that characterize stepper motors are a major handicap that limits the use of this type of actuator in precision industrial applications and especially in biomedical systems. Improving motor drive performance is challenging due to the presence of uncertainty in system parameters and large load variations. To overcome these problems and the shortcomings of conventional control approaches, a new control concept based on fuzzy logic is developed. To this purpose, this paper proposes a fuzzy logic concept (FLC) for damping rotor oscillations of stepper actuator devoted to an Electrical Syringe Pump application. The FLC membership functions and rules are designed with value normalization that allows the developed controller able to be flexible when applied to a wide range of applications. The proposed FLC is numerically validated. Critical testing scenarios are employed including motor inertia variation, supply voltage variation, fluid friction variation and for different loads. Moreover, thanks to its normalized design, the proposed FLC is not limited to the studied biomedical applications, but can be applied to other application systems. [ABSTRACT FROM AUTHOR]

Objectives: Accreditation to standards developed by the Royal Australian College of General Practice provides assurance to the community of the quality and safety of general practices in Australia. The objective of this study was to conduct an empirical evaluation of the 5th edition standards. Minimal empirically driven evaluation of the standards has been conducted since their publication in 2020. Methods: Data encompass consecutive Australian general practice accreditation assessments between December 2020 and July 2022 recorded from a single accrediting agency. Met and not met compliance (binary) scores for 124 indicators evaluated at the site visit were recorded. A subset of indicators derived from a selection of existing and consistently non-conformant indicators within each criterion was generated. Concordance between the indicator subset and the criterion was assessed to determine the predictive ability of the indicator subset in distinguishing practices who are conformant to the entire criterion. Results: A total of 757 general practices were included in the analysis. On average, 113.69 (s.d. = 8.16) of 124 indicators were evaluated as conformant at the site visit. In total, 52 (42%) indicators were required to obtain a true positive conformity rate above 95% for all criterions of the standards. For criterion 1 (General Practice 1) conformity to the entire criterion (nine indicators; >95% true positive rate) could be obtained by including 2/9 indicators (C1-1a and C1-2a). Conclusion: Our results identified that indicator non-conformity was driven by a small proportion of indicators and identifying a subset of these consistently non-conformant indicators predicted a true positive rate above 95% at the criterion level. What is known about the topic? Minimal empirical evaluation of the 5th edition standards for accreditation have occurred since their implementation. What does this paper add? Our findings suggest that more than half of the indicators currently do not adequately distinguish practices at the site assessment. What are the implications for practitioners? These findings may suggest that a review of individual indicators and the standards structure is required. [ABSTRACT FROM AUTHOR]

Objective: There is a need to undertake more proactive and in-depth analyses of general practice accreditation processes. Two areas that have been highlighted as areas of potential inconsistency are the self-assessment and surveyor assessment of indicators. Methods: The data encompass 757 accreditation visits made between December 2020 and July 2022. A mixed-effect multilevel logistic regression model determined the association between attempt of the self-assessment and indicator conformity from the surveyor assessment. Furthermore, we present a contrast of the rate of indicator conformity between surveyors as an approximation of the inter-assessor consistency from the site visit. Results: Two hundred and seventy-seven (37%) practices did not attempt or accurately report conformity to any indicators at the self-assessment. Association between attempting the self-assessment and the rate of indicator non-conformity at the site visit failed to reach statistical significance (OR = 0.90 [95% CI = 1.14–0.72], P = 0.28). A small number of surveyors (N = 9/34) demonstrated statistically significant differences in the rate of indicator conformity compared to the mean of all surveyors. Conclusions: Attempt of the self-assessment did not predict indicator conformity at the site visit overall. Appropriate levels of consistency of indicator assessment between surveyors at the site visit were identified. What is known about the topic? There is a need to undertake more proactive and in-depth analyses of the general practice accreditation process and outcomes to improve the quality and safety within this healthcare sector. What does this paper add? Attempt of the self-assessment does not predict indicator conformity at the site visit overall, and appropriate levels of consistency of indicator assessment between surveyors at the site visit were identified. What are the implications for practitioners? We present empirical evidence as to the consistency of assessment with general practice accreditation to inform future standards and (re)accreditation assessments. [ABSTRACT FROM AUTHOR]

Ultrasound is a highly adaptable medical imaging modality that offers several applications and a wide range of uses, both for diagnostic and therapeutic purposes. The principles of sound wave propagation and reflection enable ultrasound imaging to function as a highly secure modality. This technique facilitates the production of real-time visual representations, thereby assisting in the evaluation of various medical conditions such as cardiac, gynecologic, and abdominal diseases, among others. The ultrasound modality encompasses a diverse range of modes and mechanisms that serve to enhance the methodology of pathology and physiology assessment. Doppler imaging and US elastography, in particular, are two such techniques that contribute to this expansion. Elastography-based imaging methods have attracted significant interest in recent years for the non-invasive evaluation of tissue mechanical characteristics. These techniques utilize the changes in soft tissue elasticity in various diseases to generate both qualitative and quantitative data for diagnostic purposes. Specialized imaging techniques collect data by identifying tissue stiffness under mechanical forces such as compression or shear waves. However, in this review paper, we provide a comprehensive examination of the fundamental concepts, underlying physics, and limitations associated with ultrasound elastography. Additionally, we present a concise overview of its present-day clinical utilization and ongoing advancements across many clinical domains. [ABSTRACT FROM AUTHOR]

Purpose: The significance of atraumatic electrode array (EA) insertion in cochlear implant (CI) surgery is widely acknowledged, with consensus that forces due to EA insertion are directly correlated with insertion trauma. Unfortunately, the manual perception of these forces through haptic feedback is inherently limited, and techniques for in vivo force measurements to monitor the insertion are not yet available. Addressing this gap, we developed of a force-sensitive insertion tool capable of capturing real-time insertion forces during standard CI surgery. Methods: This paper describes the tool and its pioneering application in a clinical setting and reports initial findings from an ongoing clinical study. Data and experiences from five patients have been evaluated so far, including force profiles of four patients. Results: The initial intraoperative experiences are promising, with successful integration into the conventional workflow. Feasibility of in vivo insertion force measurement and practicability of the tool's intraoperative use could be demonstrated. The recorded in vivo insertion forces show the expected rise with increasing insertion depth. Forces at the end of insertion range from 17.2 mN to 43.6 mN, while maximal peak forces were observed in the range from 44.8 mN to 102.4 mN. Conclusion: We hypothesize that this novel method holds the potential to assist surgeons in monitoring the insertion forces and, thus, minimizing insertion trauma and ensuring better preservation of residual hearing. Future data recording with this tool can form the basis of ongoing research into the causes of insertion trauma, paving the way for new and improved prevention strategies. [ABSTRACT FROM AUTHOR]

Context: The COVID-19 pandemic has reignited a commitment from the health policy and health services research communities to rebuilding trust in healthcare and created a renewed appetite for measures of trust for system monitoring and evaluation. The aim of the present paper was to develop a multidimensional measure of trust in healthcare that: (1) Is responsive to the conceptual and methodological limitations of existing measures; (2) Can be used to identify systemic explanations for lower levels of trust in equity-deserving populations; (3) Can be used to design and evaluate interventions aiming to (re)build trust. Methods: We conducted a 2021 review of existing measures of trust in healthcare, 72 qualitative interviews (Aug-Dec 2021; oversampling for equity-deserving populations), an expert review consensus process (Oct 2021), and factor analyses and validation testing based on two waves of survey data (Nov 2021, n = 694; Jan-Feb 2022, n = 740 respectively). Findings: We present the Trust in Multidimensional Healthcare Systems Scale (TIMHSS); a 38-item correlated three-factor measure of trust in doctors, policies, and the system. Measurement of invariance tests suggest that the TIMHSS can also be reliably administered to diverse populations. Conclusions: This global measure of trust in healthcare can be used to measure trust over time at a population level, or used within specific subpopulations, to inform interventions to (re)build trust. It can also be used within a clinical setting to provide a stronger evidence base for associations between trust and therapeutic outcomes. [ABSTRACT FROM AUTHOR]

Precise medical image segmentation of regions of interest (ROIs) is crucial for accurate disease diagnosis and progression assessment. However, acquiring high-quality annotated data at the pixel level poses a significant challenge due to the resource-intensive nature of this process. This scarcity of high-quality annotated data results in few-shot scenarios, which are highly prevalent in clinical applications. To address this obstacle, this paper introduces Agent-Guided SAM (AGSAM), an innovative approach that transforms the Segment Anything Model (SAM) into a fully automated segmentation method by automating prompt generation. Capitalizing on the pre-trained feature extraction and decoding capabilities of SAM-Med2D, AGSAM circumvents the need for manual prompt engineering, ensuring adaptability across diverse segmentation methods. Furthermore, the proposed feature augmentation convolution module (FACM) enhances model accuracy by promoting stable feature representations. Experimental evaluations demonstrate AGSAM's consistent superiority over other methods across various metrics. These findings highlight AGSAM's efficacy in tackling the challenges associated with limited annotated data while achieving high-quality medical image segmentation. [ABSTRACT FROM AUTHOR]