Search Results (179)

Background: Empowerment during pregnancy is linked to improved maternal and infant health outcomes and greater maternal well-being. Group Antenatal Care (GANC), a participant-centered model of care, promotes empowerment, active engagement, and the deconstruction of hierarchy between participants and care providers. It combines health assessment, interactive learning, and community building. While empowerment is a core concept of GANC, the ways it manifests and the elements that facilitate it remain unclear. Method: We conducted a generic qualitative study across four organizations in Brussels, using multiple data collection methods. This included interviews with 13 participants and 21 observations of GANC sessions, combining both the insider and outsider perspective. An adapted version of the Pregnancy-Related Empowerment Scale (PRES) guided the interviews guide and thematic analysis. Results: We identified seven themes that capture how empowerment occurs in GANC: peer connectedness, provider connectedness, skillful decision-making, responsibility, sense of control, taking action, and gaining voice. Several aspects of GANC contribute to empowerment, particularly the role of facilitators. Conclusions: This study highlights how GANC enhances empowerment during pregnancy through interpersonal, internal, and external processes. Important components within GANC that support this process include the group-based format and the interactive nature of the discussions. The presence of skillful GANC facilitators is an essential prerequisite. In a diverse and often vulnerable context like Brussels, strengthening empowerment through GANC presents challenges but is especially crucial. Full article

African, Caribbean, and Black (ACB) communities face increased COVID-19 morbidity and mortality, coupled with significant barriers to vaccine acceptance and uptake. Addressing these challenges requires innovative, multifaceted strategies. Peer-led interventions, grounded in critical health literacy (CHL) and critical racial literacy (CRL), and integrating collaborative equity learning processes, can enhance community capacity, empowerment, and health outcomes, contributing to long-term health equity. This paper describes and presents the evaluative outcomes of a peer-led intervention aimed at enhancing COVID-19 vaccine confidence and acceptance. The Peer-Equity Navigator (PEN) intervention consisted of a specialized training curriculum grounded in CHL and CRL. Following training, PENs undertook a 5-month practicum in community or health settings, engaging in diverse outreach and educational activities to promote vaccine literacy in ACB communities. The evaluation utilized a modified Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) Framework, using quantitative and qualitative methods to collect data. Sources of data included tracking records with community feedback, and a PEN focus group, to assess program feasibility, outreach, and effectiveness. From 16 September 2022, to 28 January 2023, eight trained PENs conducted 56+ community events, reaching over 1500 community members. Both PENs and community members reported high engagement, endorsing peer-led, community-based approaches and increased vaccine literacy. The PEN approach proves feasible, acceptable, and effective in promoting positive health behaviors among ACB communities. This intervention has clear implications for health promotion practice, policy, and research in equity-deserving communities, including immigrants and refugees, who also face multiple and intersecting barriers to health information and care. Full article

Patient involvement in health technology assessment (HTA) processes is increasingly recognized as pivotal for informed, equitable, and patient-relevant health care decision-making. With the implementation of Joint Scientific Consultations (JSCs) and Joint Clinical Assessments (JCAs) under Regulation (EU) 2021/2282, the European Union has a unique opportunity to design harmonized mechanisms that reflect best practices from established HTA systems. This article, drawing on the Acute Leukemia Advocates Network (ALAN)’s comparative analysis of HTA practices across seven countries (Canada, England, Scotland, France, Germany, Spain, and Italy), examines how current patient involvement processes can inform the JCA framework. It identifies opportunities to replicate effective practices and proposes strategies to embed patient voices meaningfully into the JCA process. By prioritizing robust and inclusive patient involvement, the EU can establish a global benchmark for impactful and consistent HTA processes. By leveraging lessons from international HTA systems and prioritizing clear frameworks, early involvement, and capacity building, the EU can set a global standard for meaningful patient participation in HTA processes. ALAN is an independent global network of patient organizations dedicated to improving outcomes for patients with acute leukemia. Full article

Introduction: Respiratory Syncytial Virus (RSV) is the leading cause of lower respiratory tract infections in infants and children, as well as hospitalizations for respiratory infections in the pediatric population, representing a significant public health concern. Nirsevimab, a long-acting anti-RSV monoclonal antibody, has recently been approved by the European Medicines Agency (EMA). The aim of this study is to assess the utility of certain parameters, such as the Number Needed to Immunize (NNI), in supporting decision-makers regarding the introduction of nirsevimab as a universal prophylactic measure. Methods: A literature review was conducted to identify the definition and application of the NNI in the context of infectious disease prevention. The following online databases were consulted: Scopus, MEDLINE, Google Scholar, Web of Science, and Cochrane Library. The search was restricted to English-language texts published between 1 January 2000 and 30 January 2025. Results: The NNI represents the number of individuals who need to be immunized to prevent clinical outcomes such as medical visits and hospitalizations caused by infectious diseases. Six studies were identified that utilized this parameter to outline the benefits of immunization and describe the advantages of using monoclonal antibodies for RSV disease. Finelli and colleagues report that to prevent one RSV-related hospitalization, 37–85 infants aged 0–5 months and 107–280 infants aged 6–11 months would need to be immunized with long-acting anti-RSV antibodies. A recent study by Mallah et al. on the efficacy of nirsevimab estimates that the NNI required to prevent one RSV-related hospitalization is 25 infants. Studies by Francisco and O’Leary report NNI values of 82 and 128 infants, respectively, to prevent one RSV-related hospitalization with nirsevimab. Mallah et al. describe NNI as a metric useful to quantify the immunization effort needed to prevent a single RSV hospitalization. A recent Italian study reports that 35 infants need to be immunized to prevent one hospitalization due to RSV-LRTI and 3 infants need to be immunized to prevent one primary care visit due to RSV-LRTI. The studies indicate that the NNI for anti-RSV monoclonal antibodies is lower than the corresponding Number Needed to Vaccinate (NNV) for vaccines already included in national immunization programs. The main limitations of using this parameter include the absence of a shared threshold for interpreting results and the lack of consideration for the indirect effects of immunization on the population. Conclusions: The NNI is an easily understandable tool that can be used to convey the value of an immunization intervention to a variety of stakeholders, thereby supporting public health decision-making processes when considered in association with the uptake of the preventative strategy. At the current status, the estimated NNI of monoclonal antibodies against RSV results favourable and confirms the use in the first year of life for the prevention of RSV disease. Full article

Background: Magnesium (Mg) is an essential mineral that plays a vital role in various physiological processes, including enzyme regulation, neuromuscular function, and cardiovascular health. Dysmagnesemia has been associated with arrhythmias, neuromuscular dysfunction, and poor outcomes in intensive care unit (ICU) settings, representing diagnostic and therapeutic challenges. However, the relationship between dysmagnesemia and health outcomes in the ICU remains inadequately defined. Aim/Objective: This study aimed to assess the prevalence of dysmagnesemia and evaluate the correlation between total (tMg) and ionized magnesium (iMg) levels in a cohort of ICU and high dependency unit (HDU) patients. It also sought to evaluate patient characteristics and relevant health outcomes by comparing both concentrations of iMg and tMg. Methods: This prospective study was conducted among adult patients admitted to the ICU and the high dependency unit (HDU). Results: Among the 134 included patients, the median age was 63.5 years (IQR: 52.0–77.0). The majority, 91.0%, required mechanical ventilation. Additionally, 50.0% were diagnosed with diabetes, 28.4% had chronic kidney disease, and proton pump inhibitors (PPIs) were administered to 67.2% of the patients. The prevalence of hypomagnesemia, as measured by iMg, was 6.7%, while hypermagnesemia was at 39.6%. When measured by tMg, hypomagnesemia and hypermagnesemia were observed at rates of 14.9% and 22.4%, respectively. The iMg measurements showed an association between the incidence of atrial fibrillation and hypomagnesemia (p = 0.015), whereas tMg measurements linked hypomagnesemia with longer hospital stays. Notably, only a few patients identified with iMg-measured hypomagnesemia received magnesium replacement during their ICU stay. Conclusions: Dysmagnesemia is prevalent among critically ill patients, with discordance between iMg and tMg measurements. iMg appears more sensitive in detecting arrhythmia risk, while tMg correlates with length of stay. These findings support the need for larger studies and suggest considering iMg in magnesium monitoring and replacement strategies. Full article

Introduction: Assessing the quality of patient care within healthcare systems remains a multifaceted challenge due to varying definitions of “quality” and the complexity of care delivery structures worldwide. Patient-centeredness, institutional responsiveness, and contextual adaptability are increasingly recognized as core pillars in quality assessment. Objective: This narrative literature review aims to explore conceptual models and practical frameworks for evaluating healthcare quality, emphasizing tools that integrate technical, functional, and emotional dimensions and proposing a comprehensive model adaptable to diverse health system contexts. Methodology: A systematic literature search was conducted in the PubMed, Scopus, and Cochrane Library databases, covering the years 2000 to 2024. Studies were selected based on relevance to quality assessment models, patient satisfaction, accreditation, and strategic improvement methodologies. The review followed a thematic synthesis approach, integrating structural, process-based, and outcome-driven perspectives. Results: Core frameworks such as Donabedian’s model and balancing measures were reviewed alongside evaluation tools like the Dutch Consumer Quality Index, SERVQUAL, and Importance–Performance Analysis (IPA). These models revealed significant gaps between patient expectations and actual service delivery, especially in functional and emotional quality dimensions. This review also identified limitations related to contextual generalizability and bias. A novel integrative model is proposed, emphasizing the dynamic interaction between institutional structure, clinical processes, and patient experience. Conclusions: High-quality healthcare demands a multidimensional approach. Integrating conceptual frameworks with context-sensitive strategies enables healthcare systems to align technical performance with patient-centered outcomes. The proposed model offers a foundation for future empirical validation, particularly in resource-limited or hybrid settings. Full article

Background: The mechanisms linking loneliness to frailty in older adults with diabetes remain unclear. Guided by the Loneliness–Health Outcomes Model, this study is the first to simultaneously validate the dual mechanisms (mediation and moderation) of social support in the loneliness–frailty relationship among older Chinese adults with diabetes. Methods: A cross-sectional study enrolled 442 community-dwelling adults aged ≥60 years with type 2 diabetes in Beijing. Standardized scales assessed loneliness (UCLA Loneliness Scale), frailty (Tilburg Frailty Indicator), and social support (SSRS). Analyses included Pearson’s correlations, hierarchical regression, and PROCESS macro to evaluate mediating/moderating effects, after adjusting for demographics and comorbidities. Results: The frailty prevalence was 55.2%. Loneliness was positively correlated with frailty (r = 0.327, p < 0.01), while social support showed inverse associations with both loneliness (r = −0.496) and frailty (r = −0.315) (p < 0.01). Social support partially mediated loneliness’s effect on frailty (indirect effect: 30.86%; 95% CI: 0.028–0.087) and moderated this relationship (interaction β = −0.003, p = 0.011). High-risk clusters (e.g., aged ≥80 years, widowed, and isolated individuals) exhibited combined “high loneliness–low support–high frailty” profiles. Conclusions: Social support reduces the frailty risk through dual mechanisms. These findings advocate for tiered clinical interventions: (1) targeted home-visit systems and resource allocation for high-risk subgroups (e.g., solo-living elders aged ≥80 years); and (2) the integration of social support screening into routine diabetes care to identify individuals below the protective threshold (SSRS < 45.47). These findings advance psychosocially informed strategies for diabetes management in aging populations. Full article

Background/Objectives: In dental medicine, the integration of various types of X-ray images, such as periapical (PA), bitewing (BW), and panoramic (PANO) radiographs, is crucial for comprehensive oral health assessment. These complementary imaging modalities provide diverse diagnostic perspectives and support the early detection of oral diseases, thereby enhancing treatment outcomes. However, there is currently no existing system that integrates multiple types of dental X-rays for both adults and children to perform tooth localization and numbering. Methods: Therefore, this study aimed to propose a system based on YOLOv8 that integrates multiple dental X-ray images and automatically detects and numbers both permanent and deciduous teeth. Through image preprocessing, various types of dental X-ray images were standardized and enhanced to improve the recognition accuracy of individual teeth. Results: With the implementation of a novel image preprocessing method, the system achieved a detection precision of 98.16% for permanent and deciduous teeth, representing a 3% improvement over models without image enhancement. In addition, the system attained an average tooth numbering accuracy of 98.5% for permanent teeth and 96.3% for deciduous teeth, surpassing existing methods by 5.6%. Conclusions: These results might highlight the innovation of the proposed image processing method and show its practical value in assisting clinicians with accurate diagnosis of tooth loss and the identification of missing teeth, ultimately contributing to improved diagnosis and treatment in dental care. Full article

Globally, 1–3% of the population has an intellectual disability, but some remain undiagnosed, resulting in limited access to essential health and social care services, poor health outcomes, and higher risks of homelessness, substance abuse, and imprisonment. A formal diagnosis enables early intervention and support. A scoping review was conducted to explore research on undiagnosed intellectual disability, screening processes, and identifying indicators. Method: The scoping review search was conducted using academic databases such as CINAHL, PsycINFO, Scopus, and PubMed, along with eight grey literature sources. In addition, the reference lists of the included studies were explored. Information specialists supported and guided the search process. The search included qualitative, quantitative, review, and mixed-method research studies published in English between 2000 and 2024. Two reviewers screened papers for eligibility by title, abstract, and full text. Result: A total of 11,475 papers were screened, with 57 papers from various countries included in the review. Indicators of intellectual disability were identified in three settings: (1) educational settings (preschool, primary, and secondary schools); (2) social care services, including homeless and community services; and (3) criminal services, such as courts, probation, and prisons, highlighting the wide applicability of findings. These indicators were linked to “experiences”, “behaviours”, “challenges”, and “observations”. Conclusion: This review emphasised the importance of early diagnosis by adopting appropriate assessment tools, which require national screening policies. It also highlighted the essential role of professionals working in intellectual disability services in identifying and supporting undiagnosed individuals, particularly within high-risk populations. Implication: The review’s findings will guide policy, practice, and research recommendations for enhancing the early identification of people with intellectual disabilities. Full article

Background/Objectives: Organizing nurses’ work is crucial for ensuring patient care quality and efficiency. Nurses’ work methods directly influence patient safety and healthcare outcomes, making them vital for effective health services. Assessing these methods helps identify effective practices, enhance work organization, and improve both professional satisfaction and patient safety. This study aims to translate, adapt, and validate the Nurse Work Method Assessment Scale (NWMAS) for Turkish. Methods: Methodological study with a non-probabilistic sample of 209 hospital nurses, conducted between June and July 2024. The linguistic adaptation involved translation and back-translation with the participation of bilingual experts. Statistical analyses included exploratory and confirmatory factor analyses, item-total correlation tests, test-retest reliability, and internal consistency assessment using Cronbach’s alpha. Results: One item was removed due to cultural incompatibility, resulting in a 24-item Turkish version of the NWMAS. During the adaptation process, expert evaluations led to the removal of one item from the original scale, as it referenced nursing practices that are either not widely implemented or considered culturally incompatible with the structure of the Turkish healthcare system. Content Validity Index values ranged from 0.85 to 0.95. Exploratory factor analysis confirmed a five-factor structure explaining 55.65% of total variance. Confirmatory factor analysis supported this structure with acceptable fit indices (χ²/df = 1.89; RMSEA = 0.06; GFI = 0.86). Cronbach’s alpha for the overall scale was 0.87, with subscale alphas ranging from 0.52 to 0.82. Test-retest reliability coefficients ranged from 0.95 to 0.98, indicating high stability over time. Conclusions: The Turkish version of the NWMAS demonstrated adequate validity and reliability and can be used to evaluate nurses’ work methods in Turkish hospital settings. The study highlights the importance of cultural adaptation in scale development to ensure conceptual relevance in local healthcare systems. Full article

Background and Objective: Innovation is a key enabler of patient-centered care in cardiology, with new medical devices and digital health technologies offering the potential to improve outcomes and efficiency. However, the evaluation of these innovations poses challenges for clinicians, regulators, and procurement stakeholders, particularly within the complex European healthcare landscape. This review aims to explore the current state of health technology assessment (HTA) for cardiology-related medical devices in Europe, offering a clinical perspective. Material and Methods: Three independent scoping reviews were conducted following the PRISMA-ScR guidelines. Keywords included “innovation”, “health technology assessment”, and “cardiology”. The search was supplemented by the relevant literature on European HTA policies, regulatory directives, and emerging technologies. Results: The review identified three central themes: (1) the evolving role of clinicians in HTA processes, (2) the integration of innovative technologies such as digital tools and artificial intelligence within HTA frameworks, and (3) the considerable variation in HTA practices and policies across EU member states. Conclusions: HTA in Europe is undergoing a transformation, with increasing emphasis on interdisciplinary collaboration and frameworks that support innovation. While the goal of harmonization across the EU remains a work in progress, new regulatory efforts, such as the HTA Regulation (HTAR), offer promising avenues for aligning clinical practice with evidence-based assessment and reimbursement decisions. Full article

Background: Assessing nutrition-related health risks in older individuals is often overlooked in clinical practice due to the lack of appropriate methods of evaluation. While anthropometric measurements and body composition analyses are mainly used, these tools are not standardized for the oldest old and fail to account for age-related changes. This underscores the need for improved assessment techniques that accurately capture the progressive and non-linear shifts in nutritional status throughout the aging process. Accordingly, the primary aim of our paper is to identify the most effective tools to use for evaluating nutritional status in the oldest population. Methods: To address this gap, we conducted a cross-sectional study, investigating the nutritional status of a cohort of Sicilian individuals aged between 65 and 111, using methods commonly applied to adult and older adult populations. These included the BIoimpedance Analysis (BIA), the Mini Nutritional Assessment (MNA) evaluation, and nutritional risk indices such as the COntrolling NUTritional Status (CONUT) score and Geriatric Nutritional Risk Index (GNRI). Results: Despite the oldest population being classified as “at risk” of malnutrition by the MNA or “cachetic” by BIA, our results indicated a “normal” or “low risk” of malnutrition when assessments were performed using tools (GNRI and CONUT) that were not reliant on body composition parameters. These findings align with clinical history assessments conducted during their recruitment. Conclusions: This pilot study highlights the need for future research aimed at developing standardized, multidimensional assessment models tailored to the heterogeneity of each age group, to improve risk stratification, clinical outcomes, and personalized nutritional care. Full article

The prognosis for Hormonal Receptor positive-HER2-negative (HR+ HER2-negative) metastatic breast cancer (mBC) has significantly improved by advances in hormone therapies, targeted drugs, and antibody–drug conjugates (ADCs). Nevertheless, maintaining quality of life (QoL), managing symptoms, and reducing treatment-related toxicity remain essential. Background: eHealth solutions offer new opportunities to enhance patient engagement and well-being through digital tools. This paper aims to delineate the fundamental functionalities and objectives of TreC_Metha, a technologically advanced instrument to provide effective support during all care process of patients diagnosed with HR+HER2-negative mBC able to proactively change its configuration depending on the treatment line or on the intra-line treatment phase the patient undergoes, as set by the healthcare team. Methods: The TreC_Metha platform was developed through a structured, evidence-based four-phase process aimed at scalability, usability, and clinical relevance. The development began with a formal analysis of the metastatic breast cancer (mBC) care pathway using BPMN modeling to map phases, activities, and stakeholders, highlighting differences from early-stage breast cancer. This analysis informed the identification of key points where digital support could enhance care. Patient needs were assessed through a web-based questionnaire (N = 20) and two focus groups (N = 11), enabling a participatory design approach. Based on these insights, the platform’s functional and non-functional requirements were defined, leading to the design and implementation of a patient-facing mobile app and a clinical dashboard tailored to mBC-specific needs. Results: Preliminary findings from the web survey focus groups revealed significant gaps in communication and information delivery during the mBC care journey, contributing to patient anxiety and reduced confidence. Participants expressed a preference for digital and printed resources to improve understanding and facilitate interactions with healthcare providers. These insights informed the development of the TreC_Metha platform. The clinical dashboard enables real-time monitoring and decision-making, while the mobile app supports bidirectional communication, therapy adherence, and patient-reported data collection. A system prototype is currently under refinement and will undergo usability testing with a small cohort of users. Following this phase, the pilot study will evaluate the platform’s impact on QoL, aiming for a ≥10% improvement in outcome measures and contributing to a more patient-centered care model in the mBC setting. Conclusions: TreC_Metha represents an innovative tool that may enable involvement and active participation in the mBC care process for both a multidisciplinary care team of professionals and the patient, and that can be easily adapted to other cancer types and chronic diseases. Full article

Background/Objectives: Activities of Daily Living (ADLs) are crucial for assessing an individual’s autonomy, encompassing tasks such as eating, dressing, and moving around, among others. Predicting these activities is part of health monitoring, elderly care, and intelligent systems, improving quality of life, and facilitating early dependency detection, all of which are relevant components of personalized health and social care. However, the automatic classification of ADLs from sensor data remains challenging due to high variability in human behavior, sensor noise, and discrepancies in data acquisition protocols. These challenges limit the accuracy and applicability of existing solutions. This study details the modeling and evaluation of real-time ADL classification models based on batch learning (BL) and stream learning (SL) algorithms. Methods: The methodology followed is the Cross-Industry Standard Process for Data Mining (CRISP-DM). The models were trained with a comprehensive dataset integrating 23 ADL-centric datasets using accelerometers and gyroscopes data. The data were preprocessed by applying normalization and sampling rate unification techniques, and finally, relevant sensor locations on the body were selected. Results: After cleaning and debugging, a final dataset was generated, containing 238,990 samples, 56 activities, and 52 columns. The study compared models trained with BL and SL algorithms, evaluating their performance under various classification scenarios using accuracy, area under the curve (AUC), and F1-score metrics. Finally, a mobile application was developed to classify ADLs in real time (feeding data from a dataset). Conclusions: The outcome of this study can be used in various data science projects related to ADL and Human activity recognition (HAR), and due to the integration of diverse data sources, it is potentially useful to address bias and improve generalizability in Machine Learning models. The principal advantage of online learning algorithms is dynamically adapting to data changes, representing a significant advance in personal autonomy and health care monitoring. Full article

Background/Objectives: Midwives are crucial in addressing complex women’s health issues, such as infertility, breastfeeding challenges, and neonatal health. An elective pilot course, “Educational, Counseling, and Therapeutic Approaches in Midwifery”, was designed to enhance midwifery students’ knowledge and skills in communication, counseling, and therapeutic skills via e-learning approaches. Methods: A mixed-methods approach was employed, combining pre- and post-testing to assess students’ skill development. In addition, guided reflective discussions were based on video and audio recordings of pre-prepared role-playing scenarios. Students worked in pairs, alternating roles as midwives and patients, to engage in real-life situations. During the reflective discussions, students critically analyzed their experiences of the consultation process, identifying their strengths and weaknesses, and reflecting on what went well and what could be improved in future interactions. Results: The initial findings revealed that students were overconfident in their skills, but through role-playing and reflective discussions, they recognized gaps in their knowledge and developed a deeper understanding of essential competencies. Conclusions: The elective pilot course proved effective in enhancing students’ knowledge and skills as counselors. These results emphasize the importance of integrating structured e-learning and educational strategies into midwifery training to improve care and health outcomes. Full article