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To describe the prevalence and determinants of workplace violence against nurses in the Italian home care setting.
Secondary cross-sectional analysis of data from the multicentre study AIDOMUS-IT.
Nurses employed in home care services provided by Italian Local Health Authorities were interviewed using a variety of instruments. A multivariable binary logistic regression model was performed to model the risk of workplace violence against nurses in the last 12 months. Variables related to violence were selected among sociodemographic characteristics (such as age and gender), work-related factors (including years of experience, team composition, overtime working, previous experience in mental health care, burnout) and organisational elements (including leadership and support, workload, staffing and resources adequacy, and time to reach the patients' homes). Adjusted odds ratios (aOR) were used to present the results.
A total of 3949 nurses participated in the study and 20.49% of them reported to have experienced an episode of violence in the last 12 months. Determinants of higher risk of violence episodes were younger age (aOR = 1.02, p = 0.002), higher workload (aOR = 1.01, p = 0.002), working in a multiprofessional team (aOR = 1.24, p = 0.018), perception of inadequate managerial leadership and support (aOR = 1.38, p = 0.003), and higher burnout levels (aOR = 1.01, p < 0.001).
The prevalence of workplace violence against Italian home care nurses is high. Several modifiable determinants were found to be associated with a higher risk of violence, which can potentially be mitigated with tailored interventions.
Effective preventive strategies must be developed to lessen workplace violence against nurses in the home care setting. These strategies should focus on strengthening nursing managers' leadership and support skills, enhancing team-building strategies, avoiding inadequate workload, monitoring nurses' burnout, estimating optimum staffing levels, and assigning advanced-career nurses to home care services. These measures are imperative to guarantee the quality and safety of home care organisations and to attain favourable outcomes in the provision of care.
This study aimed to explore the prevalence and determinants of workplace violence against nurses in the Italian home care settings. We found that out of the 3949 nurses surveyed, 20% of the sample reported one episode of violence during the last 12 months. Determinants of this violence included younger age, higher workload and burnout, being in a multiprofessional team, and perception of lack of leadership and support by the nurse manager. The results of this study can be used to tailor interventions aimed at mitigating the risk factors of violence, particularly those that can be modified (e.g., workload, burnout, and leadership).
The study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.
No patient or public contribution.
To estimate the proportion of Italian nurse managers (NMs) intending to leave (ITL) their positions and to identify associated socio-demographic, job-related, and psychosocial factors.
Cross-sectional study.
Between September and November 2023, 464 NMs from 19 public hospitals completed a case-report form and the short version of the Copenhagen Psychosocial Questionnaire II (COPSOQ II). Latent Class Analysis (LCA) identified ITL profiles, and multiple logistic regression assessed factors associated with ITL.
284 NMs (61.2%; 95% CI 57–66) reported an intention to leave within 12 months. LCA identified two classes: (1) Low-ITL (54%)—mainly outpatient NMs from Central regions with strong relationships with management, good support, work–life balance, and autonomy (55.9% probability of being unlikely to leave). (2) High-ITL (46%)—mainly surgical or critical-care NMs, often from Northern regions, marked by poor management relations, low support and high work–family conflict (80.9% probability of being likely to leave). Multiple regression confirmed that stronger management relations reduced ITL (OR 0.60, 95% CI 0.46–0.79) whereas high job demands and work–health conflict increased it (OR 1.56, 95% CI 1.19–2.04). Northern location also predicted higher ITL (OR 1.58, 95% CI 1.03–2.44). Demographics, education, and clinical setting were not significantly associated.
These findings suggest that healthcare organizations should prioritize managerial and organizational strategies targeting modifiable work-related factors to reduce nurse managers' intention to leave. Interventions aimed at improving organizational support, work environment, and job satisfaction may contribute to workforce retention at the managerial level. Future research should evaluate the effectiveness of targeted organizational interventions in sustaining nurse manager retention.
Spirituality has gained increasing attention in healthcare, particularly in palliative care, as it supports meaning, purpose and connection during illness. While literature extensively explores patients’ spiritual needs, growing evidence highlights the importance of addressing the spiritual needs of caregivers and healthcare professionals. Caregivers and relatives often face emotional, ethical and practical challenges during prolonged care pathways, impacting their well-being. Limited training and tools can hinder spiritual care, contributing to distress and burnout among professionals and unmet needs for families. Addressing spirituality in neurodegenerative disease palliative care is essential for holistic, person-centred approaches that foster coping, hope and ethical decision-making. This scoping review aims to map evidence on spiritual needs and challenges of caregivers, relatives and healthcare staff in end-stage neurodegenerative disease care.
This review will follow the Joanna Briggs Institute framework (JBI) for scoping reviews. The search and reporting process will be guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews checklist. Inclusion criteria followed JBI’s population, concept and context framework with no date or geographical limits; only English and Italian sources ensured accurate interpretation. Searches will use university-access databases and grey literature to capture policy and non-peer-reviewed sources. Databases selected: PubMed, CINAHL, APA PsycINFO and Scopus for comprehensive, multidisciplinary coverage. This inclusive approach is aligned with the purpose of scoping reviews, which aim to map the breadth and depth of available literature. Researchers independently screened titles/abstracts in Rayyan software with blinding, resolved discrepancies collaboratively, piloted and refined extraction tables, and jointly synthesised themes through iterative meetings to ensure rigour and consensus. Findings will highlight existing knowledge, identify gaps and inform future research and practice.
Since secondary data will be analysed, no ethical approval is required. The results will be disseminated through publications subject to peer review. The protocol has been registered with the Open Science Framework https://doi.org/10.17605/OSF.IO/X9275
To classify Italian home care models based on structural characteristics, process factors and stakeholder perceptions.
This is a secondary analysis of the AIDOMUS-IT multicentre cross-sectional study, conducted in Italy between July 2022 and December 2023.
Data were collected via online surveys completed by 33 Local Health Authority Nursing Directors, home care nurses and patients. Hierarchical cluster analysis was used to classify different organisational models based on structural and process-related factors. Nurses' and patients' perceptions of care were described for each identified cluster.
The analysis identified three distinct organisational home care models: The ‘multidisciplinary model’, in which nurses reported high dissatisfaction due to organisational complexity and excessive workloads. In the ‘nurse-centred model’, characterised by publicly employed nurses, strong leadership, and a supportive work environment, patients reported high levels of satisfaction. The ‘performance-based model’, which operated with a lower nurse-to-patient ratio, reduced service hours, and greater reliance on external professionals. Nurses in this model reported high job satisfaction but also a greater intention to leave, while patient satisfaction was lower.
This study underscores the importance of leadership, resource management, and a supportive work environment in influencing both job satisfaction and patient outcomes in home care settings.
Policymakers could use these findings to refine care models and improve service delivery.
Limited research has examined the organisational structures of home care services, which are important for professionals' organisational well-being, patient safety, and quality of care. This study identified three distinct organisational home care models that could be used to refine care approaches and improve service delivery.
This study respects the EQUATOR guideline for observational studies (STROBE).
This study did not include patient or public involvement in its design, conduct, or reporting.
Prostate cancer diagnosis and treatment planning depend on accurate histopathological assessment of needle biopsies, particularly through the Gleason scoring system. The inherently subjective nature of the grading creates variability between pathologists, potentially resulting in suboptimal patient management decisions. These reproducibility challenges extend beyond Gleason scoring to encompass other critical diagnostic and prognostic markers, including cancer volume quantification and detection of cribriform morphology patterns and perineural invasion. Artificial intelligence (AI) applications in digital pathology have emerged as promising solutions for enhancing diagnostic consistency and accuracy, with recent research demonstrating that automated systems can match expert-level performance in prostate biopsy evaluation. Nevertheless, comprehensive validation studies have revealed concerning limitations in model generalisability when deployed across different clinical environments and patient populations. Recent systematic reviews revealed widespread risk-of-bias limitations and insufficient external validation in AI diagnostic studies, highlighting critical needs for accumulated evidence supporting generalisability before clinical implementation. Rigorous external validation with preregistered protocols using independent datasets from diverse clinical settings remains essential to establish the reliability and safety of AI-assisted prostate pathology systems.
This study protocol establishes a framework for the retrospective external validation of an AI system developed for prostate biopsy assessment, to be conducted on the case-control samples of the National Prostate Cancer Register of Sweden, ProMort study (1998-2015). The primary aim is to evaluate the AI model’s diagnostic accuracy and Gleason grading performance using completely independent datasets separate from any model development or previously used validation cohorts. The diversity of the validation samples, spanning multiple geographic regions, temporal collection periods and reference standards, allows evaluation of model robustness across varied clinical contexts. Secondary aims encompass evaluating AI performance in cancer length estimation and detection of cribriform patterns and perineural invasion. This protocol delineates procedures for data collection, reference standard clarification and prespecified statistical analyses, ensuring comprehensive validation and reliable performance assessment. The study design conforms to established reporting guidelines Checklist for Artificial Intelligence in Medical Imaging (CLAIM) and Standards for Reporting Diagnostic Accuracy Studies using Artificial Intelligence (STARD-AI), and recognised best practices for AI validation in medical imaging.
Data collection and usage were approved by the Swedish Regional Ethics Review Board and the Swedish Ethical Review Authority (permits 2012/1586-31/1, 2016/613-31/2, 2019-01395, 2019-05220). The study adheres to the Declaration of Helsinki principles, and findings will be made available in open access peer-reviewed publications.
The incidence of anal carcinoma is increasing, with the current gold standard treatment being chemoradiotherapy. There is currently a wide range in the radiotherapy dose used internationally which may lead to overtreatment of early-stage disease and potential undertreatment of locally advanced disease.
PLATO is an integrated umbrella trial protocol which consists of three trials focused on assessing risk-adapted use of adjuvant low-dose chemoradiotherapy in anal margin tumours (ACT3), reduced-dose chemoradiotherapy in early anal carcinoma (ACT4) and dose-escalated chemoradiotherapy in locally advanced anal carcinoma (ACT5), given with standard concurrent chemotherapy.
The primary endpoints of PLATO are locoregional failure (LRF)-free rate for ACT3 and ACT4 and LRF-free survival for ACT5. Secondary objectives include acute and late toxicities, colostomy-free survival and patient-reported outcome measures. ACT3 will recruit 90 participants: participants with removed anal tumours with margins ≤1 mm will receive lower dose chemoradiotherapy, while participants with anal tumours with margins >1 mm will be observed. ACT4 will recruit 162 participants, randomised on a 1:2 basis to receive either standard-dose intensity modulated radiotherapy (IMRT) in combination with chemotherapy or reduced-dose IMRT in combination with chemotherapy. ACT5 will recruit 459 participants, randomised on a 1:1:1 basis to receive either standard-dose IMRT in combination with chemotherapy, or one of two increased-dose experimental arms of IMRT with synchronous integrated boost in combination with chemotherapy.
This study has been approved by Yorkshire & The Humber – Bradford Leeds Research Ethics Committee (ref: 16/YH/0157, IRAS: 204585), July 2016. Results will be disseminated via national and international conferences, peer-reviewed journal articles and social media. A plain English report will be shared with the study participants, patients’ organisations and media.
Duchenne and Becker muscular dystrophies (DMD and BMD) are devastating conditions characterised by progressive muscle degeneration and weakness. Despite advances in understanding their pathogenetic processes, there is a critical need for reliable biomarkers to aid in patient stratification and inform clinical decision-making, predict disease progression and evaluate therapeutic responses. Several promising protein biomarkers have been investigated as potential diagnostic/prognostic tools, but, to date, this evidence has not been systematically synthesised. We aim to comprehensively and critically review and summarise published studies reporting the use of protein signatures of muscular damage in DMD and BMD.
We will systematically search Ovid MEDLINE (PubMed), OVID Embase, OVID Evidence-Based Medicine Reviews and Cochrane Library to retrieve all relevant articles. For ongoing trials, we will search WHO International clinical trials registry and ClinicalTrials.gov registry. We will include studies that measure circulating and urine levels of established and/or promising protein biomarkers associated with skeletal muscular damage and disease progression, such as creatine kinase, myoglobin, skeletal troponin I fast-twitch (type II), myostatin, creatine/creatinine ratio, creatinine and titin. We will consider randomised controlled trials, observational studies and longitudinal cohort studies with serial sampling, without restrictions on sample size, geographic location or language, while excluding animal and in vitro studies. Two independent reviewers will screen articles for inclusion using predefined eligibility criteria and extract data of retained articles. A third author will be consulted in case of disagreement. The approach recommended by the Agency for Healthcare Research and Quality’s Methods Guide for Effectiveness and Comparative Effectiveness Reviews will be used. The risk of bias and reporting quality will be assessed with standardised scales. The analysis will involve a structured narrative synthesis and evidentiary tables. If a meta-analysis is possible, biomarker data for each outcome will be pooled using random effects models. Subgroup analyses have been planned as a function of age, genetic mutation, disease severity, imaging and clinical assessment, length of the observation and risk of bias.
Ethics approval is not required for this study as no original data will be collected. The findings will be shared through peer-reviewed publications and conference presentations. Additionally, this systematic review will guide the recommendations of the Duchenne Regulatory Science Consortium. This work will provide a rigorous, exhaustive and accessible evidence synthesis to identify candidate biomarkers of potential clinical value. Furthermore, it is expected that these results could be used to facilitate the development of future research strategies and guidelines, inform resource allocation decisions and accelerate the route towards clinical implementation of biomarkers for DMD and BMD.
CRD42024549471. Available from:
Excessive opioid prescribing after surgery can lead to adverse events and exacerbate the opioid crisis. Patients undergoing outpatient breast surgery are often prescribed opioids to manage pain at home; however, the value of this approach is uncertain. The Postoperative Analgesia Intervention with Non-opioid Alternatives (PAIN Alt) trial will address the following research question: among patients undergoing outpatient breast surgery, does opioid-free analgesia (OFA) result in non-inferior 7-day pain intensity and pain interference in comparison to opioid analgesia (OA)?
This is a parallel, assessor-blind, open-label randomised trial conducted at seven university-affiliated hospitals in Canada. A sample of 540 adult patients (>18 years) undergoing outpatient mastectomy or lumpectomy will be included. Participants are allocated 1:1 to receive OA (around-the-clock non-opioids and opioids for breakthrough pain) or OFA (around-the-clock non-opioids, with adjustment of non-opioid drugs and/or non-pharmacological interventions for breakthrough pain). The co-primary outcomes are 7-day pain intensity and pain interference (measured using the Brief Pain Inventory). Secondary outcomes include adverse drug events, physical and mental health status, satisfaction with pain management, postoperative complications, chronic pain, opioid misuse, persistent opioid use, healthcare utilisation and costs. The primary statistical analyses will follow the intention-to-treat principle and be conducted using mixed-effects modelling.
This trial is coordinated by the McGill University Health Centre (ethics approval MP-37-2024-102530), with ethics approval being sought at all participating sites. Our results will be published in an open-access, peer-reviewed journal, presented at relevant conferences and disseminated to the public through press releases.
Surgical oncology patients often experience doubts and uncertainties in the preoperative and postoperative periods, which can be addressed remotely through telenursing. Expanding telenursing services could contribute to more comprehensive perioperative care. We conducted a scoping review to characterise these telenursing services, identify their outcome indicators and examine the content of the care delivered.
A scoping review was conducted in accordance with the Joanna Briggs Institute (JBI) recommendations.
MEDLINE (PubMed), EMBASE, CINAHL, SCOPUS, Web of Science and Virtual Health Library (VHL), with searches performed up to 5 May 2025.
We included studies that implemented telenursing interventions in the preoperative or postoperative period in adult oncology patients.
Two independent reviewers used a standardised search to select and extract data from the included studies. Study characteristics were presented descriptively using absolute and relative frequencies, and the content of telenursing interventions was organised into a circular thematic matrix.
A total of 37 studies were included, published between 1996 and 2024, conducted in 12 countries and primarily focused on postoperative telenursing via telephone or video calls. Preoperative care focused on psychosocial support and guidance related to surgical preparation. Postoperative topics included surgical wound care; handling of devices such as drains, ostomy bags and catheters; instructions for returning to work and support groups for financial and social assistance. Outcome indicators were primarily related to care, including levels of anxiety, stress, depression and quality of life.
Oncologic surgical telenursing remains primarily focused on postoperative care and the delivery of personalised support. Reporting on the protocols used, frequency and duration of sessions, nurse training and profiles, integration with in-person care workflows and operational cost data could strengthen the knowledge base for perioperative telenursing in oncology.
FreshRSS 