From Theory to Practice: Implementing Next-Generation Sequencing and Public Health Genomics in Healthcare Systems.

If Europe's health systems make a conscious decision to increase their utilization of technology and techniques that can enhance prevention and expedite early-stage diagnosis, they can effectively address the growing challenges of disease. By embracing these advancements, these health systems can significantly improve their response to emerging health issues.However, at present the effective integration and exploitation of these opportunities remains hesitant and suboptimal, and health and health services underperform accordingly, with patients suffering from the continuing variations in diagnosis and access to innovation. This paper presents a comprehensive study that examines the current state of various influential disciplines and factors in European countries. It specifically focuses on the adoption of Next Generation Screening technologies and the development stage of Public Health Genomics. The assessment of these areas is presented in the context of a rapidly changing policy environment, which provides an opportunity for a fundamental reconsideration of how and where new tools can be integrated into healthcare systems and routine practices. Top of Form.

Cervical Cancer in Mexico: From a Renowned Vaccination Program to Unfulfilled Needs in Treatment Access.

Mexico's national human papillomavirus (HPV) vaccination program was established in 2008, providing free access to HPV vaccines and quickly becoming an immense success story, achieving significant coverage among young Mexican females. However, despite these efforts and notable achievements, cervical cancer caused mainly by HPV remains a challenging issue among Mexican women aged 15 years or older. A critical obstacle faced by women in the country is a lack of early detection and screening resources, coupled with delays in diagnosis and treatment, exacerbated by the poor distribution of already insufficient healthcare resources. This situation creates adverse conditions for the female demographic in the country. Our editorial aims to draw attention to the urgent need to improve access to adequate prevention, screening, and treatment for cervical cancer patients in Mexico, advocating for a collective effort between the Mexican government, public health professionals, and civil society.

Utilization of machine learning for dengue case screening.

Dengue causes approximately 10.000 deaths and 100 million symptomatic infections annually worldwide, making it a significant public health concern. To address this, artificial intelligence tools like machine learning can play a crucial role in developing more effective strategies for control, diagnosis, and treatment. This study identifies relevant variables for the screening of dengue cases through machine learning models and evaluates the accuracy of the models. Data from reported dengue cases in the states of Rio de Janeiro and Minas Gerais for the years 2016 and 2019 were obtained through the National Notifiable Diseases Surveillance System (SINAN). The mutual information technique was used to assess which variables were most related to laboratory-confirmed dengue cases. Next, a random selection of 10,000 confirmed cases and 10,000 discarded cases was performed, and the dataset was divided into training (70%) and testing (30%). Machine learning models were then tested to classify the cases. It was found that the logistic regression model with 10 variables (gender, age, fever, myalgia, headache, vomiting, nausea, back pain, rash, retro-orbital pain) and the Decision Tree and Multilayer Perceptron (MLP) models achieved the best results in decision metrics, with an accuracy of 98%. Therefore, a tree-based model would be suitable for building an application and implementing it on smartphones. This resource would be available to healthcare professionals such as doctors and nurses.

Bridging technology and care: integrating web-based PROMs in mental health services for refugees: a study on clinician training and technology adoption.

This study explores the integration of a web-based electronic database technology containing patient-reported outcome measures (PROMs) with electronic health records for refugees with PTSD, emphasizing the systematic inclusion of patient perspectives in clinical decision-making. Our research addresses the notable gap in literature regarding training clinicians for the competent integration of health information technology in healthcare. The training program developed aimed at equipping clinicians, particularly inexperienced with technology, to effectively utilize an electronic PROM system for collecting systematic patient information. Our study is set in the context of the Mental Health Services (MHS) in Denmark, focusing on a specialized clinic for treating trauma-affected refugees. The multidisciplinary team involved in this project reflects a wide range of healthcare professionals. The training program employed a variety of activities over nearly 2 years, adapting to feedback and aiming to engage clinicians in continuous improvement processes. Analyzing qualitative data with thematic analysis we interpreted that the training's extended focus on discussion of the implementation process, with limited hands-on experience, potentially reinforced clinicians' hesitations toward new technology, rather than reducing them. Clinicians prioritized immediate concerns over potential long-term benefits. Despite this, their approach reflects a strong commitment to patient welfare and careful evaluation of new practices. Notably, there were also positive engagements with the technology, highlighting its potential in patient care. This study concludes that the successful integration of technology in clinical settings hinges on its alignment with clinicians' workflows, respect for their professional judgment, and clear benefits to patient care.

Comparative Study on the Satisfaction of Healthcare Service Providers with the Synergistic Development of Rural Healthcare Systems in China: Medical Alliance Counties vs. Non-Medical Alliance Counties.

Introduction: This study aimed to explore whether the establishment of county medical alliances can improve satisfaction with the vertical integration of healthcare systems among rural medical and healthcare service provider managers and service providers. Our study also sought to provide recommendations for the sustainable development of vertical integration in healthcare systems. Methods: A semi-structured interview with 30 healthcare service providers was employed in this research, and Nvivo software was utilized to analyze factors that influence vertical integration. From April to July 2021, a multi-stage random sampling method was used to select participants. The sample included two leading hospitals in medical consortia, 15 member units (healthcare service providers and medical staff), two county-level hospitals, and 15 township health centers/community healthcare service centers from non-medical consortia. Questionnaire surveys were conducted with these groups. Factor analysis was used to calculate satisfaction scores for healthcare service providers with the cross-institutional synergistic development of healthcare systems in both medical and non-medical consortia (denoted as M(IQR)). Propensity score matching was employed to reduce confounding factors between groups. The Mann-Whitney U test was used to compare satisfaction differences between groups. Results: The overall satisfaction scores for lead-county hospital managers, member institution managers, medical staff at the lead-county hospital, and medical staff at member institutions were 4.80 (1.00), 4.17 (1.17), 4.00 (1.38), and 4.00 (1.12), respectively. Lead-county hospital managers' satisfaction with cross-institutional collaboration, development capacity enhancement, and structure and resource integration in the Medical Alliance group showed higher satisfaction than the Non-Medical Alliance. Similarly, lead-county hospital medical staff in the Medical Alliance group reported greater satisfaction with collaboration efforts, supportive environment, and development capacity enhancement. Notably, while the Medical Alliance group's satisfaction scores were higher, the differences between the two groups were not statistically significant for lead-county hospital managers and medical staff. The Medical Alliance group did show statistically significant differences in member institution managers' satisfaction with collaboration, development capacity enhancement, and structure and resource integration. Additionally, medical staff of member institutions in the Medical Alliance group reported statistically significant higher satisfaction with collaboration, supportive environment, development capacity enhancement, healthcare service integration, and human resource development. Conclusion: To facilitate the establishment of county medical alliances, managers of leading county-level hospitals should adopt a healthcare system integration strategy. This strategy involves evolution from being a member of a single institution to a coordinator of cross-institutional vertical integration of medical and healthcare services. Additionally, revamping remuneration and appraisal systems for members of county medical alliances is necessary. This will encourage cooperation among healthcare institutions within the three-tiered system and their medical staff, ultimately facilitating the provision of integrated services.

Using artificial intelligence and predictive modelling to enable learning healthcare systems (LHS) for pandemic preparedness.

In anticipation of potential future pandemics, we examined the challenges and opportunities presented by the COVID-19 outbreak. This analysis highlights how artificial intelligence (AI) and predictive models can support both patients and clinicians in managing subsequent infectious diseases, and how legislators and policymakers could support these efforts, to bring learning healthcare system (LHS) from guidelines to real-world implementation. This report chronicles the trajectory of the COVID-19 pandemic, emphasizing the diverse data sets generated throughout its course. We propose strategies for harnessing this data via AI and predictive modelling to enhance the functioning of LHS. The challenges faced by patients and healthcare systems around the world during this unprecedented crisis could have been mitigated with an informed and timely adoption of the three pillars of the LHS: Knowledge, Data and Practice. By harnessing AI and predictive analytics, we can develop tools that not only detect potential pandemic-prone diseases early on but also assist in patient management, provide decision support, offer treatment recommendations, deliver patient outcome triage, predict post-recovery long-term disease impacts, monitor viral mutations and variant emergence, and assess vaccine and treatment efficacy in real-time. A patient-centric approach remains paramount, ensuring patients are both informed and actively involved in disease mitigation strategies.

Mapping the Common Barriers to Optimal COPD Care in High and Middle-Income Countries: Qualitative Perspectives from Clinicians.

Purpose: Chronic obstructive pulmonary disease (COPD) poses a significant global health burden despite being largely preventable and treatable. Despite the availability of guidelines, COPD care remains suboptimal in many settings, including high-income countries (HICs) and upper-middle-income countries (UMICs), with varied approaches to diagnosis and management. This study aimed to identify common and unique barriers to COPD care across six countries (Australia, Spain, Taiwan, Argentina, Mexico, and Russia) to inform global policy initiatives for improved care. Methods: COPD care pathways were mapped for each country and supplemented with epidemiological, health-economic, and clinical data from a targeted literature review. Semi-structured interviews with 17 respiratory care clinicians were used to further validate the pathways and identify key barriers. Thematic content analysis was used to generate the themes. Results: Six themes were common in most HICs and UMICs: "Challenges in COPD diagnosis", "Strengthening the role of primary care", "Fragmented healthcare systems and coordination challenges", "Inadequate management of COPD exacerbations", "Limited access to specialized care" and, "Impact of underfinanced and overloaded healthcare systems". One theme, "Insurance coverage and reimbursement challenges", was more relevant for UMICs. HICs and UMICs differ in patient and healthcare provider awareness, primary care involvement, spirometry access, and availability of specialized care. Both face issues with healthcare fragmentation, guideline adherence, and COPD exacerbation management. In addition, UMICs also grapple with resource limitations and healthcare infrastructure challenges. Conclusion: Many challenges to COPD care are the same in both HICs and UMICs, underscoring the pervasive nature of these issues. While country-specific issues require customized solutions, there are untapped possibilities for implementing global respiratory strategies that support countries to manage COPD effectively. In addition to healthcare system-level initiatives, there is a crucial need for political prioritization of COPD to allocate the essential resources it requires.

Caries status in 12-year-old children, geographical location and socioeconomic conditions across European countries: A systematic review and meta-analysis.

BACKGROUND: Understanding of socioeconomic context might enable more efficient evidence-based preventive strategies in oral health. AIM: The study assessed the caries-related socioeconomic macro-factors in 12-year-olds across European countries. DESIGN: This systematic review involved epidemiological surveys on the caries status of 12-year-olds from 2011 to 2022. DMFT was analyzed in relation to gross national income (GNI), United Nations Statistical Division geographical categorization of European countries (M49), unemployment rate, Human Development Index (HDI), and per capita expenditure on dental health care. A meta-analysis was performed for countries reporting data on DMFT, stratified by GNI, and geographical location of European countries, using a random-effects model. RESULTS: The study involved 493 360 children from 36 countries in the geographic region of Europe. The analysis confirmed a strong negative correlation between income and caries experience (p < .01). Children living in higher-income countries showed 90% lower odds of poor oral health than in middle-income countries. Children living in West Europe showed 90% lower odds of poor oral health than children living in East Europe. CONCLUSION: The strong effect of macro-level socioeconomic contexts on children's oral health suggests favoring upstream preventive oral health strategies in countries with economic growth difficulties, Eastern and Southern parts of Europe.

Impact of health spending on hospitalization rates in Baltic countries: a comparative analysis.

INTRODUCTION: This study examines the association between healthcare indicators and hospitalization rates in three high-income European countries, namely Estonia, Latvia, and Lithuania, from 2015 to 2020. METHOD: We used a sex-stratified generalized additive model (GAM) to investigate the impact of select healthcare indicators on hospitalization rates, adjusted by general economic status-i.e., gross domestic product (GDP) per capita. RESULTS: Our findings indicate a consistent decline in hospitalization rates over time for all three countries. The proportion of health expenditure spent on hospitals, the number of physicians and nurses, and hospital beds were not statistically significantly associated with hospitalization rates. However, changes in the number of employed medical doctors per 10,000 population were statistically significantly associated with changes of hospitalization rates in the same direction, with the effect being stronger for males. Additionally, higher GDP per capita was associated with increased hospitalization rates for both males and females in all three countries and in all models. CONCLUSIONS: The relationship between healthcare spending and declining hospitalization rates was not statistically significant, suggesting that the healthcare systems may be shifting towards primary care, outpatient care, and on prevention efforts.

Corrigendum: Access to healthcare by undocumented Zimbabwean migrants in post-apartheid South Africa.

No abstract available.

Electronic prescription systems in Greece: a large-scale survey of healthcare professionals' perceptions.

BACKGROUND: The national e-prescription system in Greece is one of the most important achievements in the e-health sector. Healthcare professionals' feedback is essential to ensure the introduced system tends to their needs and reduces their everyday workload. The number of surveys collecting the users' views is limited, while the existing studies include only a small number of participants. METHODS: In this study, healthcare professionals' perceptions on e-prescription are explored. For this, a questionnaire was distributed online, containing closed- and open-ended questions aiming to address strengths and identify drawbacks in e-prescription. Answers were collected from primary health care physicians, specialized medical doctors and pharmacists. RESULTS: In total, 430 answers were collected (129 from primary health care physicians, 164 responses from specialized medical doctors and 137 pharmacists). Analysis of the collected answers reveals that the views of the three groups of healthcare professionals mostly converge. The positive impact e-prescribing systems have on the overall prescribing procedure in preventing errors and providing automation is commented. Among gaps identified and proposed improvements, health care professionals note the need for access to information on adverse drug reactions, side effects, drug-to-drug interactions and allergies. Flexible interaction with Therapeutic Prescription Protocols is desired to ameliorate monitoring and decision-making, while drug dosing features, and simplified procedures for copying, repeating, canceling a prescription, are perceived as useful to incorporate. CONCLUSIONS: Collecting healthcare professionals' feedback is important, as their views can be transcribed to system requirements, to further promote e-prescribing and improve the provided health care services by facilitating decision making through safer and more efficient e-prescription. Introduction of the identified improvements can simplify the everyday workflow of healthcare professionals. To the best of our knowledge, a survey with more than 400 answered questionnaires on the use of e-prescription systems by healthcare professionals has never been conducted in Greece before.

Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework.

Categorizing Artificial Intelligence of Medical Things (AIoMT) devices within the realm of standard Internet of Things (IoT) and Internet of Medical Things (IoMT) devices, particularly at the server and computational layers, poses a formidable challenge. In this paper, we present a novel methodology for categorizing AIoMT devices through the application of decentralized processing, referred to as "Federated Learning" (FL). Our approach involves deploying a system on standard IoT devices and labeled IoMT devices for training purposes and attribute extraction. Through this process, we extract and map the interconnected attributes from a global federated cum aggression server. The aim of this terminology is to extract interdependent devices via federated learning, ensuring data privacy and adherence to operational policies. Consequently, a global training dataset repository is coordinated to establish a centralized indexing and synchronization knowledge repository. The categorization process employs generic labels for devices transmitting medical data through regular communication channels. We evaluate our proposed methodology across a variety of IoT, IoMT, and AIoMT devices, demonstrating effective classification and labeling. Our technique yields a reliable categorization index for facilitating efficient access and optimization of medical devices within global servers.

Project SATURN- a real-world evidence data collaboration with existing European datasets in Osteogenesis Imperfecta to support future therapies.

Regulatory marketing authorisation is not enough to ensure patient access to new medicinal products. Health Technology Assessment bodies may require data on effectiveness, relative effectiveness, and cost-effectiveness. Healthcare systems may require data on clinical utility, savings, and budget impact. Furthermore, the exact requirements of these bodies vary country by country and sometimes even region to region, resulting in a patchwork of different data requirements to achieve effective, reimbursed patient access to new therapies. In addition, clinicians require data to make informed clinical management decisions. This requirement is of key importance in rare diseases where there is often limited data and clinical experience at the time of regulatory approval.This paper describes an innovative initiative that is called Project SATURN: Systematic Accumulation of Treatment practices and Utilization, Real world evidence, and Natural history data for the rare disease Osteogenesis Imperfecta. The objective of this project is to generate a common core dataset by utilising existing data sources to meet the needs of the various stakeholders and avoiding fragmentation through multiple approaches (e.g., a series of individual national requests/approaches, and unconnected with the regulators' potential requirements). It is expected that such an approach will reduce the time for patient access to life-changing medications. Whilst Project SATURN applies to Osteogenesis Imperfecta, it is anticipated that the principles could also be applied to other rare diseases and reduce the time for patient access to new medications.

Strategies to improve postpartum engagement in healthcare after high-risk conditions diagnosed in pregnancy: a narrative review.

Transition from antepartum to postpartum care is important, but often fragmented, and attendance at postpartum visits can be poor. Access to care is especially important for individuals diagnosed antepartum with conditions associated with longer-term implications, including gestational diabetes (GDM) and hypertensive disorders in pregnancy (HDP). Strategies to link and strengthen this transition are essential to support people to attend recommended appointments and testing. This narrative review evaluates what is known about postpartum transition of care after higher-risk antepartum conditions, discusses barriers and facilitators to uptake of recommended testing, and outlines strategies trialled to increase both postpartum attendance and testing. Barriers to attendance frequently overlap with general barriers to accessing healthcare. Specific postpartum challenges include difficulties with transport, coordinating breastfeeding and childcare access. Systemic challenges include inadequate communication to women around implications of health conditions diagnosed in pregnancy, and the importance of postpartum follow up. Uptake of recommended testing after a diagnosis of GDM and HDP is variable but generally suboptimal. Strategies which demonstrate promise include the use of patient navigators, focused education and specialised clinics. Reminder systems have had variable impact. Telehealth and technology are under-utilised in this field but offer promising options particularly with the expansion of virtual healthcare into routine maternity care. Strategies to improve both attendance rates and uptake of testing must be designed to address disparities in healthcare access and tailored to the needs of the community. This review provides a starting point to develop such strategies from the community level to the population level.

Investigation toward the economic feasibility of personalized medicine for healthcare service providers: the case of bladder cancer.

In today's complex healthcare landscape, the pursuit of delivering optimal patient care while navigating intricate economic dynamics poses a significant challenge for healthcare service providers (HSPs). In this already complex dynamic, the emergence of clinically promising personalized medicine-based treatment aims to revolutionize medicine. While personalized medicine holds tremendous potential for enhancing therapeutic outcomes, its integration within resource-constrained HSPs presents formidable challenges. In this study, we investigate the economic feasibility of implementing personalized medicine. The central objective is to strike a balance between catering to individual patient needs and making economically viable decisions. Unlike conventional binary approaches to personalized treatment, we propose a more nuanced perspective by treating personalization as a spectrum. This approach allows for greater flexibility in decision-making and resource allocation. To this end, we propose a mathematical framework to investigate our proposal, focusing on Bladder Cancer (BC) as a case study. Our results show that while it is feasible to introduce personalized medicine, a highly efficient but highly expensive one would be short-lived relative to its less effective but cheaper alternative as the latter can be provided to a larger cohort of patients, optimizing the HSP's objective better.

Neonatal jaundice detection in low-resource Mexican settings: possibilities and barriers for innovation with mobile health.

BACKGROUND: Neonatal jaundice is a common condition that can lead to brain damage and disabilities when severe cases go undetected. Low- and middle-income countries often lack accurate methods for detecting neonatal jaundice and rely on visual assessment, resulting in a higher incidence of adverse consequences. Picterus Jaundice Pro (Picterus JP), an easy-to-use and affordable smartphone-based screening device for the condition, has demonstrated higher accuracy than visual assessment in Norwegian, Philippine and Mexican newborns. This study aimed to identify the barriers and facilitators to implementing Picterus JP in public health services in low-income settings in Mexico by exploring the current process of neonatal jaundice detection and stakeholders' perspectives in that context. METHODS: Qualitative data collection techniques, including one focus group, 15 semi-structured interviews and four observations, were employed in urban and rural health facilities in Oaxaca, Mexico. The participants included medical doctors, nurses and health administrators. The data were analysed by thematic analysis guided by the Consolidated Framework for Implementation Research. RESULTS: The analysis yielded four main themes: (I) the current state of neonatal care and NNJ detection, (II) the needs and desires for enhancing NNJ detection, (III) the barriers and facilitators to implementing Picterus JP in the health system and (IV) HCWs' expectations of Picterus JP. The findings identify deficiencies in the current neonatal jaundice detection process and the participants' desire for a more accurate method. Picterus JP was perceived as easy to use, useful and compatible with the work routine, but barriers to adoption were identified, including internet deficiencies and costs. CONCLUSIONS: The introduction of Picterus JP as a supporting tool to screen for neonatal jaundice is promising but contextual barriers in the setting must be addressed for successful implementation. There is also an opportunity to optimise visual assessment to improve detection of neonatal jaundice.

Editorial: COVID-19 pandemic and the social determinants of health.

As we learn to co-exist with COVID-19, this Research Topic highlights significant research contributions that examine the interaction of COVID-19 and the social determinants of health. To emphasize the impactful research in this area, this Research Topic features scholarly contributions in the fields of Epidemiology, specifically Aging and Life-course Epidemiology, and Public Health, specifically Public Health Policy. This theme is intentionally broad in scope, and our editorial provides an overview of the key findings of the papers published in the Research Topic on COVID-19 pandemic and the social determinants of health. The types of articles received in response to this Research Topic are summarized below.

Healthcare and legal systems responses to coercive control: an embodied performance of one woman's experience.

This paper uses a drama-based method to illustrate the responses of healthcare and legal systems to women experiencing coercive control. This approach involved writing a play using the first-person narrative voice of a victim-survivor. We presented the play at the Stop Domestic Violence Conference (Gold Coast, Australia) in 2021. The central character, 'Kate', provided an embodied performance that enabled the conference participants to see, feel and understand experiences of coercive control from a personal perspective. We followed the trajectory of coercive control from the beginning of an intimate relationship to the time of separation. We showed how the process of coercive control escalates from love bombing, reproductive coercion, isolation, and technology-facilitated abuse until a point of police intervention. As Kate told her story, the conference audience witnessed the barriers and challenges faced by survivors of coercive control, and the emotional, financial, and psychological impacts that are intensified in geographically remote environments. They watched Kate navigate health and other systems meant to help women experiencing domestic and family violence, but that ultimately failed to deliver. Finally, the drama-based approach allowed us to present a feminist embodiment of coercive control and an innovative method for communicating inter-disciplinary research findings on domestic abuse.

Challenges and Strategies in Implementing Hospital Accreditation Standards Among Healthcare Professionals in Healthcare Systems in Yemen: A Phenomenological Study.

INTRODUCTION: The implementation of hospital accreditation standards in healthcare systems in Yemen that ensure safe and high-quality healthcare services is hampered by specific challenges. Therefore, this study was purposed to explore the challenges and strategies for applying hospital accreditation standards among healthcare professionals in Yemen. METHODS: A qualitative, phenomenological design was adopted to conduct this study. Semi-structured interviews were used to collect data during the period from January 1, 2022, to February 28, 2022. RESULTS: Based on the content analysis, the study outcomes and lack of (i) funding, (ii) competent human resources, (iii) optimal infrastructure, and (iv) equipment and supplies deter the implementation of hospital accreditation standards. Also, this study highlighted the cultural and social barriers limiting the effectiveness of hospital accreditation standards, the need for increased investment in healthcare infrastructure and human resources, and cultural sensitivity training for healthcare professionals to enhance the implementation of and compliance with hospital accreditation standards. CONCLUSIONS:  Policymakers should engage global corporations and development partners for technical assistance and capacity building that support the local application of hospital accreditation standards.

Healthcare Workers: Heroes or Victims? Context of the Western World and Proposals to Prevent Violence.

Episodes of direct violence against healthcare workers and social workers represent a worrying and widespread phenomenon in Western countries. These violent attacks, whether verbal or physical, occur in various work environments, targeting professionals working in private facilities, medical practices, or those employed within the National Health System facilities. We conducted a search using a single search engine (PubMed) using the terms "violence against healthcare workers AND Western" for the period 2003-2023, identifying 45 results to which we added to the literature through hand searching. Our review thus analyzed the sector literature to highlight the phenomenon of violence against healthcare workers, particularly in Western countries. We began with an analysis of the problem and then focused on the true purpose of the study, which is to propose new solutions to protect healthcare workers in all work settings. Consequently, we aim to improve both the working environment for healthcare professionals and to enhance the overall healthcare and public health outcomes.