Search Results (607)

Background/Objectives: Nurses working in Anaesthesia and Intensive Care Units (AICUs) face high job demands that may negatively affect their well-being and increase turnover intention. In healthcare systems experiencing workforce shortages, such as Romania, understanding these mechanisms is essential for developing effective retention strategies. This study examined the relationship between job demands and turnover intention among Romanian AICU nurses, focusing on the mediating roles of professional fatigue and depressive symptoms. Methods: A cross-sectional survey was conducted among 1001 nurses from the AICUs of 68 Romanian public hospitals. Job demands were measured using a composite index including night shifts, long working hours, schedule changes, exposure to aggressive patients, calls from home, and alarm-related stress. Professional fatigue was assessed as subjective exhaustion after work, depressive symptoms with the Patient Health Questionnaire-9, and turnover intention as the intention to leave the workplace within 12 months. Mediation analyses were performed using PROCESS macro (Model 4) with logistic regression. Results: Job demands were positively associated with turnover intention. Higher job demands predicted increased professional fatigue and depressive symptoms, both significantly associated with turnover intention. Mediation analyses demonstrated significant indirect associations through both professional fatigue and depressive symptoms, indicating partial mediation. Conclusions: Job demands are related to turnover intention among Romanian AICU nurses both directly and indirectly through professional fatigue and depressive symptoms. Retention strategies should address not only workload reduction, but also prevention and coping interventions targeting fatigue and psychological distress. Full article

Background: Postoperative complications after staging surgery for endometrial cancer often occur after discharge, and 30-day unplanned readmission is an important post-discharge outcome. Existing models lack same-day usability at discharge and sufficient validation, limiting discharge-time risk stratification and transitional care planning. This study aimed to develop and validate a discharge-time risk prediction model based on administrative data for 30-day unplanned hospital readmission among patients undergoing staging surgery for endometrial cancer. Methods: This retrospective cohort study was conducted in accordance with the TRIPOD reporting guidelines. We constructed a nationally representative adult cohort using the Healthcare Cost and Utilization Project Nationwide Readmissions Database (HCUP-NRD) from 2016 to 2022, including index hospitalizations discharged between January and November to ensure complete 30-day follow-up. Variables available at discharge (demographics, payer/income, presentation, inpatient course, discharge disposition, hospital characteristics, Elixhauser index) were included; age and length of stay were modeled with restricted cubic splines. Complex survey-weighted multivariable logistic regression was used for model development with 1000 bootstrap internal validations. Temporal validation within the NRD was performed using 2020–2021 and 2022 data. Decision curve analysis, subgroup, and sensitivity analyses were conducted. Results: A total of 89,627 hospitalizations were included; development and validation cohorts had balanced baselines. Internal validation showed moderate discrimination (AUC 0.719) and good calibration (Brier 0.045; intercept 0.014; slope 0.955). Discharge to home health or institutional care, non-elective or emergency admission, and a higher Elixhauser readmission index (a measure of comorbidity burden) were associated with increased risk. Age and length of stay showed nonlinear associations. Temporal validation yielded a similar performance (AUC 0.708–0.713; Brier 0.043–0.046), and decision curves indicated positive net clinical benefit. Conclusions: The model demonstrated stable discrimination and maintained good calibration after temporal validation and recalibration. It represents a candidate discharge-time decision-support tool, based on administrative data, for identifying patients at higher risk of 30-day unplanned readmission, and may support nurse-led transitional care planning. External validation and local recalibration are required before application in other healthcare settings. Full article

Background/Objectives: Nursing home residents were among the most vulnerable populations during the COVID-19 pandemic, facing strict restrictive measures, limited access to medical services, and significant psychological consequences derived from institutional confinement. Despite the magnitude of these impacts, the perspective of residents themselves remain underrepresented in the qualitative literature, particularly in the Spanish context. The aim of this study was to analyze and describe the perspectives of residents in a nursing home regarding the restrictive measures adopted by the facility and their access to medical services during the COVID-19. Methods: An exploratory qualitative study was conducted with 24 residents of a nursing home in Cáceres, Spain. Data were collected through in-depth interviews and field notes, and analyze using inductive thematic analysis following Braun and Clarke’s framework. Results: Two main themes were identified: Necessary to feel safe, but unpleasant: accepting the restrictive measures (Accepting the measures; and Better safe, even if unpleasant) and Barriers to healthcare: abandonment, fear, and age-based exclusion (Neglect and abandonment by healthcare system; The residence as a “bubble” and fear of hospital transfer; and Not treated because of our age). Conclusions: The findings highlight the complexity of the experiences of older adults in residential care during the COVID-19 pandemic and underscore the urgent need to balance health protection with psychological well-being, dignity, and the rights of older people in future emergency responses. Full article

Background/Objectives: Polypharmacy is common in elderly nursing home residents (NHR), due to the high prevalence of chronic diseases. This practice increases the risk of clinically significant drug–drug interactions (DDIs) with serious consequences for patient health and safety. The objective of this study was to evaluate the prevalence of DDIs using the UpToDate Drug–Drug Interaction Checker, potentially inappropriate medication (PIM, as defined by the STOPP-START criteria), and their association with major clinical outcomes. Methods: Demographic data, clinical history and detailed medication records of 275 patients from Romania were collected. Potentially inappropriate medications were identified using 16 selected criteria from the 2023 STOPP/START guidelines. Statistical analysis was performed using GraphPad, R, and Python, involving Chi-squared and Fisher’s exact tests with Benjamini–Hochberg correction, linear regression, and drug-interaction network analysis to characterise interaction frequency and severity. Results: Detailed medical histories over the past year were available for 76 patients. The mean number of drugs prescribed was 9.61 ± 4.47 drugs, with an average of 10.68 ± 10.54 potential interactions per patient. The primary clinical outcome was associated with not respecting certain STOPP-START recommendations (p < 0.01). Overall, 33.1% of NHRs utilised herbal supplements, resulting in a total of 76 potential herb–drug interactions. Conclusions: The results suggest a potential impact of DDIs on clinical outcomes, underscoring the need for further studies to clarify causality. The use of STOPP/START recommendations and deprescribing could lead to better tolerability and smaller drug-related burden in the institutionalised, elderly population. Full article

Background/Objectives: Loneliness is a major public health concern in later life and may be especially prevalent among older adults living in nursing homes. Evidence from Spain remains limited regarding modifiable correlates of different loneliness dimensions. This study aimed to describe social and existential loneliness among nursing home residents and examine their associations with sociodemographic, institutional, functional, and psychosocial factors. Methods: We conducted a cross-sectional study in Spanish nursing homes using face-to-face structured interviews with residents aged ≥65 years (n = 139). Social loneliness was assessed with the ESTE-II scale and existential loneliness with the existential loneliness subscale of the ESTE-R. Functional dependence was measured with the Barthel Index. Health literacy, locus of control, institutional variables, and suicidality-related items were also collected. Spearman correlations and multiple linear regression models with BCa bootstrapped 95% confidence intervals (5000 resamples) were used. Results: Social and existential loneliness were moderately correlated (ρ = 0.481, p < 0.001). Greater activity engagement was independently associated with lower social (B = −1.105, p < 0.001) and existential loneliness (B = −0.732, p = 0.029). Receiving visits regularly was associated with lower social loneliness (B = −4.083, p = 0.002), but not existential loneliness. Greater functional independence was associated with lower existential loneliness (B = −0.044, p = 0.023). Conclusions: Activity engagement was a consistent correlate across loneliness dimensions, whereas regular visits were mainly related to social loneliness and functional independence to existential loneliness. These findings support feasible long-term care strategies focused on meaningful activities, relational contact, and functional support. Full article

Background/Objectives: Nursing home (NH) residents who become acutely unwell may frequently be conveyed to emergency departments (EDs). However, at least half of such low-acuity visits could be avoided. Telehealth-supported acute care programmes may potentially reduce unnecessary ED attendances and subsequent hospital utilization. This study aimed to describe a telehealth-based acute care programme for NH residents and to explore a pragmatic method for estimating potential inpatient bed-day savings using publicly available diagnosis-related group (DRG)-based average-length-of-stay (ALOS) data. Methods: A telehealth-based programme was implemented at Sengkang General Hospital (SKH) to support NH staff in the management of acutely unwell residents. NH residents were prospectively tracked for ED non-attendance within 14 days following teleconsultation. Potential inpatient bed-day savings were estimated by mapping teleconsultation diagnoses to relevant DRGs and referencing Singapore Ministry of Health Hospital Bill Size and Fee Benchmarks. Institution-specific and nationally derived ALOS estimates were compared using exploratory Bland–Altman agreement analysis. Results: Over two financial year periods, seven NHs participated in the programme. A total of 726 teleconsultations were conducted, of which 424 encounters were successfully managed within NHs without ED attendance within 14 days (ED non-attendance rate being 58.4%). Using DRG-based estimation, the projected inpatient bed-day savings for FY2023 were 694.31 days using institution-specific ALOS and 805.42 days using nationally derived ALOS estimates. Exploratory Bland–Altman analysis across 34 mapped diagnostic categories demonstrated a mean bias of 0.098 days (approximately 2.4 h), with 95% limits of agreement ranging from −1.31 to +1.51 days. Conclusions: The acute care programme may reduce ED attendances and hospitalizations among NH residents. Publicly available national DRG-based ALOS data may provide a pragmatic approach for estimating the potential inpatient hospital bed-day savings when institution-specific data are unavailable. Full article

Background/Objectives: The health status of institutionalized older adults is determined by the interaction of functional, cognitive, nutritional, anthropometric, and biochemical factors, which may not be adequately captured through single-domain assessments. Within the framework of the VIVA Project (Vulnerability Index: Valencia institutionalized Adults), this study aimed to characterize institutionalized older adults during the COVID-19 pandemic using an integrated multidimensional approach and to explore clinically interpretable vulnerability profiles. Methods: This cross-sectional study included 124 residents from 10 nursing homes of Valencia, Spain. Data were obtained from institutional records and included age, sex, body mass index (BMI), Barthel Index, Mini-Examination of Cognition (MEC), Tinetti scale, Mini Nutritional Assessment-Short Form (MNA-SF), and biochemical markers related to protein status, lipid metabolism, micronutrient availability, and renal function. An exploratory VIVA multidimensional index was constructed from nine standardized variables, and k-means clustering was applied to these variables rather than to a single summed score to identify residents’ phenotypes. An exploratory logistic regression model was used to assess the internal discrimination of the high-vulnerability phenotype. Results: The cohort showed marked heterogeneity across functional, cognitive, nutritional, anthropometric, and biochemical domains. Cluster analysis identified three clinically interpretable phenotypes ranging from lower to higher vulnerability. Functional impairment, particularly the Barthel Index and Tinetti score, was the main driver of separation between phenotypes, while biochemical markers contributed to refining profile discrimination. The exploratory logistic regression model showed high internal discrimination for the high-vulnerability phenotype, supporting the internal coherence of the integrated framework. Conclusions: An integrated multidimensional framework may be useful for characterizing vulnerability among institutionalized older adults and supporting risk stratification in long-term care settings. The logistic regression findings, including the high AUC, should be interpreted only as evidence of internal discrimination and internal coherence of the exploratory construct, not as evidence of external validity, reproducibility, diagnostic accuracy, or future predictive utility. Full article

Cancer patients receiving systemic therapy experience substantial treatment-related symptoms. Nurse-led digital health interventions, e.g., interactive voice response systems, web platforms, mobile apps, and telehealth, have emerged as strategies to strengthen supportive care. To evaluate its effectiveness, this systematic review summarizes evidence exclusively from randomized controlled trials (RCTs). Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, four databases were searched from inception to January 2025 for eligible RCTs involving adults undergoing anticancer therapy; evaluating nurse-led or nurse-co-led interventions using digital or telecommunication technologies; reporting validated symptom or health-related quality of life (HRQoL) outcomes. Risk of bias was assessed. Nine RCTs (N = 3344) met criteria; seven had low risk of bias. Interventions using telephone systems, web portals, mobile apps, or videoconferencing reduced symptom burden and improved HRQoL. The Symptom Care at Home system reduced symptom burden by ~43%, with greatest effects from combined automated monitoring and nurse practitioner follow-up. Additional benefits included improved anxiety, self-efficacy, patient participation, fewer severe toxicities and hospitalization days. In conclusion, nurse-led digital interventions effectively reduce symptom burden and support HRQoL during systemic therapy. Multicomponent models integrating automated monitoring with structured nursing follow-up and decision support appear most beneficial. Full article

Background/Objectives: Patient- and family-initiated abuse of nurses is widely recognized as workplace violence, but it also raises a distinct professional-regulatory question: when may a nurse end or restrict an established therapeutic relationship without creating an allegation of abandonment or discriminatory denial of care? This perspective focuses on Alberta and examines whether the province’s nursing regulator provides a comprehensive, nurse-specific, all-registrant standard comparable in clarity to Alberta’s physician standard. The concern is not the absence of every form of protection but the absence of a clearly defined regulatory pathway for all Alberta RNs and NPs. Methods: Publicly available legal, occupational health and safety, regulatory, legal-risk and scholarly materials were purposively selected where they addressed relationship termination, discontinuing or declining care, workplace violence, immediate safety risk, abandonment, documentation, continuity of care or patient safeguards. Results: The College of Physicians and Surgeons of Alberta standard provides a clearly defined regulatory pathway, including immediate discharge where a patient poses a safety risk, is abusive or fails to respect professional boundaries. Alberta nursing materials contain important elements but do not yet constitute a dedicated Alberta RN/NP standard applicable across office-based, community, virtual, home care and independent nursing practice. Interprovincial nursing standards demonstrate feasibility, operational detail, emerging professional consensus and potential templates for policy transfer; however, they do not bind the CRNA or create an Alberta regulatory benchmark for complaint review. Conclusions: Alberta should adopt a nurse-specific standard for ending or restricting abusive patient- and family-initiated relationships. Such a standard should include ordinary and urgent safety pathways, prohibited grounds, documentation requirements, continuity safeguards, employer integration and practical templates. Nurse protection and patient protection are mutually reinforcing regulatory objectives. Full article

Background/Objectives: Chronic diseases account for 74% of global deaths, with multimorbidity (existence of more than one chronic condition) increasing disability risk and treatment burden, leading to poor adherence, disease progression, and reduced quality of life. Nursing-led proactive care models that focus on patient engagement, education, and self-care can help mitigate these challenges. The study aims to evaluate the effectiveness of a nurse-led proactive health intervention in improving care for individuals with chronic diseases in general practice. Methods: A quasi-experimental pre–post study will be conducted in a Community Health Home in Northern Italy. Family and community nurses will deliver the intervention, which includes assessments, educational sessions, and follow-ups for patients aged 65+ with at least one chronic condition. Recruitment will occur over three months. Results: Primary outcomes include emergency department visits and hospitalizations, while secondary outcomes focus on medication adherence, self-care, and service utilization. Data will be collected at 6 and 12 months, and statistical analysis will use descriptive methods and generalized estimating equations (GEEs). Conclusions: This study will improve the understanding of the value of nurse-led proactive intervention, filling the gap in the literature by testing evidence-based approaches on a realistic frail population. Moreover, delivering a complex but structured intervention will provide evidence for future interventions to reduce treatment burden and improve health outcomes. Full article

Background: Multiple sclerosis (MS) is a condition that requires long-term, multidisciplinary management. The growing digital transformation in healthcare has highlighted the central role of nurses in supporting key aspects such as patient self-management, continuity of (at home) care, and patient empowerment. However, evidence on nurse-led digital interventions in MS remains fragmented. Objective: To map the available literature on nurse-led digital interventions in MS, focusing on the role of nurses, clinical outcomes, and research gaps. Methods: The review was conducted using the methodological framework of the Joanna Briggs Institute (JBI) and the PRISMA-ScR checklist. A systematic search was performed in PubMed, Scopus, Web of Science, and CINAHL. Studies were included if they described digital or telehealth interventions led or coordinated by nurses in patients with MS. Results: A total of 12 studies published between 2015 and 2025 met the inclusion criteria. Four main thematic areas were identified: (1) telenursing and empowerment-based interventions; (2) mobile and web-based patient self-management programs; (3) digital systems for monitoring and integrated care pathways; and (4) digital interventions targeting symptom management and psychosocial outcomes. Across the studies, nurse-led digital interventions were associated with improvements in self-management, treatment adherence, self-efficacy, and health-promoting behaviors. Positive effects were also reported on clinical outcomes such as fatigue, sleep quality, and balance, as well as on psychosocial variables including quality of life, coping strategies, and emotional well-being. Furthermore, the identified systems, in general, contributed to enhanced continuity of care, patient engagement, and organizational efficiency. Conclusions: Nurse-led digital interventions represent a promising approach in the management of patients with multiple sclerosis, supporting both clinical and psychosocial outcomes while enhancing continuity of care. However, the current evidence base remains limited by small sample sizes, heterogeneity of interventions, and short follow-up periods. Future research should prioritize multicenter randomized studies with larger samples and long-term follow-up to strengthen the evidence. Additionally, the integration of digital interventions into routine clinical practice, along with targeted training for nurses, is essential to ensure sustainability, accessibility, and equitable implementation. Further studies should also explore cost-effectiveness and the impact on caregivers and long-term quality of life. Full article

Driven by global population aging, long-term in-home and institutional elderly care faces challenges in delivering continuous, privacy-aware, and resource-efficient safety and health monitoring. Existing edge-based solutions struggle to jointly balance detection accuracy, privacy, and resource overhead during continuous operation, and often have limited situational awareness and inflexible management. We propose EdgeElderCare, a resource-aware, scene-adaptive edge-cloud collaborative system for continuous elderly safety and health monitoring. Its contributions are threefold: (1) a scene-adaptive multi-sensor task-sharing architecture that deploys vision-based fall detection in public areas and privacy-aware millimeter-wave radar in private spaces. Combined with edge-side task scheduling, it provides spatially complementary coverage of public and private areas, mitigates the accuracy–privacy conflict, and reduces computing and bandwidth consumption relative to data-level fusion; (2) a lightweight myocardial infarction detection module deployed on an edge platform, enabling local ECG analysis with low resource overhead; (3) a 3D digital-twin edge-cloud management platform that maps multi-source sensing data to a virtual scene in real time and supports hierarchical visual alerting. Experiments in a real nursing home environment show that the system operated stably on resource-constrained edge hardware: UWB positioning achieved centimeter-level RMSE, visual fall detection reached a recall of 0.90, millimeter-wave radar fall detection achieved accuracy, and F1 above 0.90, and myocardial infarction detection exceeded 0.99 accuracy on the public PTB/PTB-XL benchmark. These results indicate an engineering-feasible approach to intelligent elderly care. Larger-scale and longer-term validation remains the focus of future work. Full article

Background/Objectives: Urinary catheterization is common across care settings, but safe management at home and during care transitions often depends on caregivers who receive limited and inconsistent training. Mobile health (mHealth) applications may support caregiver education and decision-making. This review mapped and synthesized evidence on interactive mobile applications for caregiver training in urinary catheterization and developed a conceptual framework to inform nursing practice. Methods: A scoping review was conducted according to Joanna Briggs Institute guidance and reported following PRISMA-ScR. Searches were performed in PubMed/MEDLINE, Scopus, Web of Science, and LILACS, with complementary grey literature searches. Studies evaluating interactive mobile applications for caregiver training in urinary catheterization were included. Data were extracted and synthesized descriptively and narratively. Results: Five studies published between 2020 and 2025 were included. Most were early-stage studies with small samples and heterogeneous designs. Interventions generally combined educational content with interactive features, such as decision-support tools, and less often behavioral strategies, including reminders and feedback. Outcomes mainly addressed knowledge, skills, and self-efficacy, while clinical outcomes, such as infection reduction, were rarely assessed. A conceptual framework was developed showing how intervention components may influence caregiver competence and care outcomes, moderated by contextual factors such as health literacy and digital access. Conclusions: Interactive mobile applications may represent a promising approach to support caregiver training and improve the safety of urinary catheter management. However, current evidence remains preliminary and limited. Full article

Background/Objectives: The rapid growth of the global aging population, projected to reach 2.1 billion older adults by 2050, presents major challenges for pharmacotherapy and drug delivery. Age-related physiological changes affecting pharmacokinetics and pharmacodynamics, widespread polypharmacy, and functional impairments such as dysphagia, cognitive decline, and sensory or motor limitations reduce the effectiveness and safety of conventional “one-size-fits-all” medication approaches. This review aimed to evaluate the major barriers to effective drug delivery in older adults and to assess emerging patient-centered and technology-driven drug delivery systems designed to improve medication adherence, safety, and therapeutic outcomes in geriatric populations. Methods: A comprehensive narrative review of current literature was conducted focusing on geriatric pharmacotherapy, age-related barriers to medication administration, and advanced drug delivery technologies. The review analyzed evidence regarding modified oral formulations, transdermal systems, long-acting injectables, implantable devices, nanotechnology-based platforms, digital health integrations, pharmacogenomics, biomarker-guided therapy, and deprescribing strategies including STOPP/START criteria and Beers Criteria. Studies addressing polypharmacy, medication adherence, and personalized medicine in older adults were also evaluated. Results: Evidence indicates that older adults experience significant medication-related challenges due to multimorbidity, polypharmacy, and functional decline. Dysphagia affects more than half of nursing home residents, while polypharmacy prevalence reaches up to 86.6% in some populations. Emerging drug delivery technologies demonstrated potential to improve adherence, dosing precision, and patient convenience. Personalized approaches incorporating pharmacogenomics, biomarker-guided treatment, and AI-assisted dosing showed promise for optimizing therapy. However, major limitations remain, including underrepresentation of older adults in clinical trials, limited high-quality evidence supporting many polypharmacy interventions, and insufficient implementation of advanced drug delivery systems in routine clinical practice. Conclusions: Current evidence supports a transition from standardized medication approaches toward flexible, individualized, and patient-centered drug delivery strategies for older adults. Advanced delivery technologies and personalized pharmacotherapy may improve medication safety, adherence, and quality of life in aging populations, although stronger clinical evidence and broader implementation are still needed. Future progress will require interdisciplinary care models, improved geriatric representation in clinical research, and regulatory reforms supporting the integration of innovative drug delivery systems into routine healthcare practice. Full article

Objectives: To present novel strategies in the diagnosis and management of spondylodiscitis in a patient with tetraplegia. Case Presentation: A 44-year-old man presented with increased spasms despite having a SynchroMed II Medtronic for intrathecal infusion of baclofen. The C-reactive protein level was raised. Infection was suspected, but there were no localising signs. Positron Emission Tomography (PET) was performed to identify the focus of infection. PET showed an increased Fluorodeoxyglucose uptake in the L-5 vertebral body and the associated ill-defined soft tissue anteriorly. There was significant erosion and destruction of the S-1 vertebra. Magnetic Resonance Imaging of the lumbo-sacral spine revealed destruction and collapse of the S-1 vertebral body and a 6 cm × 2 cm anterior paravertebral abscess collection. This patient was managed in his home. Intravenous administration of 1 g of Ertapenem daily was provided by community nurses for eight weeks. Blood tests were performed in the community setting, and the patient was monitored by spinal unit doctors. Results: Follow-up CT revealed abnormal soft tissue, expanding and replacing the S-1 vertebral body, with appearances in keeping with an infective process. Using CT guidance and the Madison bone biopsy kit, multiple cores were obtained from the left sacral bone. Four of the five specimens showed no growth after extended incubation. Propionibacterium acnes were isolated after 10 days of incubation from the tissue from the sacral bone biopsy only. A shared decision was made towards active surveillance. Follow-up CT of the abdomen showed a stable appearance of the lumbar and sacral spine. Conclusions: A complex case of spondylodiscitis can be diagnosed and managed while the patient stays mainly in their home, avoiding prolonged admission to the spinal unit, in alignment with the “hospital to community” aspect of the National Health Service’s 10-year Health Plan for England. A diagnostic pathway with PET-CT as the first approach proved useful when the site of infection was unclear. Active surveillance obviated the need for extended periods of antibiotic therapy, which could have led to complications such as antibiotic-induced toxicity and microbial resistance to antibiotics. Full article