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Compression therapy is the evidence-based treatment for healing venous leg ulcers. However, it is not routinely applied in many UK hospitals. This paper explores hospital staff's' perspectives of venous leg ulcer care provision where compression therapy is not routinely applied. A semi-structured interview study was conducted with 11 participants, drawn from a larger study, who confirmed that their respective hospitals did not apply compression therapy to inpatients with venous leg ulcers. The interviews were analysed using reflexive thematic analysis. Findings indicate that venous leg ulcer care in hospitals was de-prioritised, which, along with structural and organisational constraints, affected clinicians' engagement and focus on it in their hospitals. This de-prioritisation also led to a lack of formal leg ulcer training in hospitals. However, some clinicians showed remarkable empathy for patients derived from their clinical professionalism and deep understanding of their suffering. To help hospital clinicians and senior managers prioritise venous leg ulcer care, it is crucial to first understand their clinical practise priorities. Secondly, understanding how some hospitals implement compression therapy could be beneficial for those where it is not routine practise. Further research should focus on better understanding clinicians and senior managers' clinical priorities and the structural and organisational constraints in real-world settings, ideally in hospitals where compression therapy is a routine practise. Most importantly, the study highlighted key questions for hospital leaders and policymakers: consider fostering the established clinicians' empathy before it is too late.
by Agatha Ribeiro Kalthof, Nikolas Dresch Ferreira, Caio Mateus Silva, Iuri Cordeiro Valadão, Iguaracy Pinheiro de Sousa, Ester Riserio Matos Bertoldi, Vanessa Morais Lima, Lauro Thiago Turaca, Ana Beatriz Ruiz Afonso Barbosa, Miriam Helena Fonseca-Alaniz, Jean-Paul Concordet, Elida Adalgisa Neri, Jose E. Krieger
Generating mature human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) remains a major obstacle to accurate disease modeling and cardiac repair. As the transcription factor Irx3 is a key determinant of ventricular conduction system fate in mice, we hypothesized that suppressing IRX3 expression accelerates human working cardiomyocyte differentiation. Here, we demonstrate that depleting IRX3 enhances hiPSC-CM differentiation. IRX3-knockout (KO) hiPSCs generated a greater number of cardiomyocytes with elevated expression of TNNI1 and CX43. Notably, IRX3-KO cardiomyocytes exhibited improved electrophysiological properties, more uniform mitochondrial distribution, better sarcomere organization, and enhanced intercellular connectivity. We observed that IRX3 expression peaks during the early stages of cardiomyocyte differentiation, whereas IRX3-KO cardiac progenitors have increased expression of GATA4, NKX2–5, and TBX5, as well as enhanced cell proliferation. These integrative analyses indicate that IRX3 influences cardiomyocyte differentiation by modulating the gene regulatory networks driven by GATA4, NKX2–5, and TBX5, providing functional evidence linking gene regulatory networks to the structural and electrophysiological development of cardiomyocytes. Collectively, these findings identify IRX3 as a key regulator of early cardiac commitment and highlight the potential of IRX3 suppression to enhance the molecular and functional phenotype of hiPSC-derived cardiomyocytes.Cardiovascular diseases (CVD) remain the leading cause of morbidity and mortality worldwide. Public health responses to CVD require complex, multisectoral strategies that combine population-wide preventive interventions with individualised approaches. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in this field, enabling more accurate diagnosis, prognosis and treatment personalisation. However, most AI applications remain confined to clinical domains, with limited translation into public health policy modelling.
This review aims to identify and synthesise recent evidence on the application of AI and ML systems for cardiovascular risk prediction and management, with a specific focus on their potential use in public health policy design and decision-making.
A systematic review will be conducted, registered in PROSPERO and reported following PRISMA guidelines. Searches will be performed in PubMed, Embase, Scopus, Web of Science, Bireme and Institute of Electrical and Electronics Engineers using standardised Descriptores en Ciencias de la Salud, Medical Subject Headings and Emtree terms. Eligible studies will include AI-based or ML-based models for cardiovascular risk prediction applied at a population, territorial or public health management level, published in English, Spanish or Portuguese within the last 5 years. Data extraction will consider article characteristics, health condition, AI/ML purpose, system features, Organisation for Economic Co-operation and Development classification, validation and performance and applicability to public health policy. Quality appraisal will use MINIMAR, DECIDE-AI or PROBAST-AI, depending on the study type. Data will be synthesised qualitatively, with descriptive frequencies and graphical summaries.
Ethical approval is not required as this study will be based on previously published data. Findings will be disseminated through peer-reviewed publications and policy-oriented forums involving the European Union and Latin American and Caribbean (LAC) academic stakeholders, with relevance for public health decision-making in Colombia and the LAC region.
CRD420251163276.
by Linda Furness, Janani Pinidiyapathirage, Matthew French, James Ware, Liam Weber, Brendan Carrigan
IntroductionIn rural generalist clinical settings, medical trainees routinely assess patients and discuss their findings with supervisors to plan ongoing care. These interactions termed ‘learning conversations’, serve as important opportunities for workplace-based learning and clinical decision making. However, preliminary evidence and stakeholder feedback indicate a lack of shared understanding regarding how these conversations should be structured, facilitated, and optimised. This study aims to observe current practices, identify supervisor and trainee learning needs, and co-design a model of learning conversations that enhances educational value and supports safe, effective patient care.
Methods and analysisThis study will use an exploratory sequential mixed methods design structured around the 3Cs of co-design (Co-define, Co-design, Co-refine). Phase 1 (co-define) will involve qualitative observation and audio-recording of learning conversations across two rural hospitals to characterise current practice and inform a protype model. In Phase 2 (co-design), supervisor and trainee focus groups will explore perceived needs, expectations, and feedback on the prototype model. A national online survey of rural supervisors and trainees will further inform model refinement. Phase 3 (co-refine) will incorporate national stakeholder input through a workshop, followed by feasibility testing of the refined model during a pilot simulation at a Rural Clinical School. Outcome data will focus on model usability, perceived relevance, applicability across contexts, and users’ experiences of employing the model during simulated learning conversations.
DiscussionThis study will produce a stakeholder-informed model that responds to the specific learning and clinical needs of rural generalist practice. By embedding co-design throughout the research process, the resulting model is expected to strengthen learning conversations, optimise trainee learning, and enhance the quality and safety of patient care. The findings have potential applicability across broader health professional training contexts and can support workforce development in rural healthcare settings.
To identify a correlation between unmet needs and HL levels in people with Multiple Sclerosis (pwMS) and to evaluate how sociodemographic characteristics influence HL levels and unmet needs.
A cross-sectional study.
The study was conducted using a questionnaire including the HLS19-Q12 to assess HL and the Long-term Unmet Needs in Multiple Sclerosis tool, which evaluates five domains (neuropsychological, ambulation, physical, interpersonal relationship, and informational) and identifies whether needs are met or unmet and the desire for support.
Among the 116 participants included in the study, the overall HL level was sufficient. Mean scores across unmet needs domains were comparable. A significant difference in HL emerged in the informational domain, where participants reporting informational needs and a desire for support showed higher mean ranks. Although not significant, participants who acknowledged a need and expressed a desire for help showed higher mean ranks in HLS19-Q12 scores across several domains. No significant correlations were found between HL and unmet needs domains.
HL levels may enhance patients' ability to recognize and express needs without necessarily ensuring that these needs are met.
Routine assessment of both HL and unmet needs may help healthcare professionals identify patients who recognize problems but lack the structural support to address them.
The impact of HL on need recognition and communication, together with the complexity and interconnectedness of unmet needs, highlights the need for healthcare systems to implement organizational, systemic, and multidimensional interventions aimed at promoting HL and effectively addressing patients' needs. Such strategies may support better disease management and improve quality of life in pwMS.
This study was reported according to STROBE checklist.
None.
Postextubation swallowing disorders (SD) are common in the intensive care unit (ICU) and are associated with severe complications, including aspiration pneumonia, a three-fold increase in reintubation risk and higher mortality. While fibreoptic endoscopic evaluation of swallowing (FEES) and videofluoroscopy are gold standards for diagnosis, they are often impractical or impossible to perform on intubated patients. The use of ultrasound offers a non-invasive, bedside alternative to evaluate the musculoskeletal structures involved in swallowing. The Echographie Identifier les troubles de Déglutition Acquis en Réanimation (EIDAR) study aims to evaluate the diagnostic performance of pre-extubation ultrasound in identifying patients at risk of SD following mechanical ventilation.
This prospective, monocentric diagnostic study conducted at the Dijon University Hospital ICU will include 100 adult patients ventilated for ≥48 hours. The primary outcome is the presence of SD, defined as a Penetration-Aspiration Scale score >2 during a FEES procedure performed 3 to 24 hours postextubation and independently assessed by an otolaryngologist blinded to index test results. Pre-extubation cervical ultrasound (Index Test) will be performed within 3 hours prior to extubation and measure hyoid bone ascension (primary variable of interest), geniohyoid muscle surface area and digastric muscle cross-sectional area. The diagnostic performance of cervical ultrasonographic parameters will be assessed using their discriminative capacity via a receiver operating characteristic curve. The feasibility of the ultrasound procedure in a critical care setting will also be assessed.
The study received a favourable opinion from the independent ethics committee CPP Ouest III and is registered with the French health authority ANSM (national agency on safety in medicine and health products). It is conducted in accordance with the Declaration of Helsinki and Good Clinical Practice guidelines. Participants or their proxies provide free and informed oral consent. Results will be submitted for publication in peer-reviewed medical journals and presented at international conferences.
RCB 2023-A00461-44 and NCT05922085
Access to musculoskeletal healthcare services in Sub-Saharan Africa is inadequate. As osteoarthritis is the most prevalent chronic osteoarticular disease globally, it’s essential to understand its social and economic impact, as well as the determinants of inequities in access to healthcare services in Sub-Saharan Africa. The absence of systematised knowledge on this topic makes this review pertinent. However, due to data scarcity, assessing this burden is challenging. The objective of this scoping review is to map and summarise the available literature up to 2025 on the socioeconomic burden and health inequity determinants among the Sub-Saharan African population with osteoarthritis.
A predefined search strategy will be applied to MEDLINE (via PubMed), Embase, African Journals Online and African Index Medicus to incorporate articles relevant to adults diagnosed with osteoarthritis who are residents of sub-Saharan Africa. We will also include grey literature sources such as Google Scholar, Research Square, manuals, books, medical society websites, secondary databases, theses and dissertation repositories and conference proceedings. Study selection will be conducted in two stages by a pair of reviewers who will independently screen titles and abstracts according to the eligibility criteria, followed by a full-text review of the selected studies. The search period was from October 2025 to January 2026. Data extraction will be performed using a standardised charting form developed by the review team.
This scoping review maps evidence on OA-related socioeconomic impacts and healthcare inequities in Sub-Saharan Africa. As a secondary data analysis, ethical approval is not required. Findings will be disseminated via peer-reviewed journals and academic conferences to clinicians and policymakers.
Developmental regression is when children lose one or more skills they have established. Families caring for these children need timely recognition to assist diagnosis and tailored interventions. Families also need support to develop practical skills for caregiving and strategies to promote family well-being and community participation. Given the high caring demands, flexibly delivered approaches are needed to accommodate family routines. Online delivery of health-related interventions that provide coaching, information, or both has been found to be a feasible and effective option for families. Family Focus is a new family-centred online programme, co-designed with parents and family advocates, clinicians, and researchers to support and empower primary carers.
This study is a prospective, pragmatic randomised controlled trial comparing the effectiveness of online parent coaching plus Family Focus (Coaching+FF) to Family Focus alone (FF) for primary carers of children experiencing developmental regression. A sample of 56 families will be randomised in a 1:1 ratio. Outcomes are assessed at baseline, post-intervention and 12-month post-randomisation. The primary outcome is parental stress symptoms at post-intervention. Secondary outcomes include parental depressive and anxiety symptoms, parental engagement in health-promoting activities, family empowerment, family quality of life and child global health outcomes. The study will also examine the uptake and acceptability of specific coaching and FF components and explore the facilitators and barriers to their delivery and implementation.
Ethics approvals were obtained from the participating organisations (Monash Health HREC/107806). Informed consent is obtained from parents/guardians of children prior to study enrolment. Study findings will be disseminated through peer-reviewed publications, conference presentations and lived experience agencies.
To examine whether Indigenous Peoples’ and Local Communities’ (IPLC) ontologies are associated with knowledge, attitudes and practices (KAP) related to wildlife cohabitation and zoonotic disease transmission in biodiversity-rich areas of Latin America.
Cross-sectional household survey using a standardised KAP questionnaire. Ontologies were classified using latent class analysis. Associations between ontology classes and outcomes were assessed using multivariable logistic regression models.
Urban, rural and protected areas in biodiversity-rich regions of Bolivia, Brazil, Chile and Guatemala.
A total of 2903 individuals aged ≥10 years were recruited through random household sampling (response rate 85%).
Primary outcomes were defined according to the KAP framework. Knowledge outcomes comprised combined knowledge of zoonotic disease transmission from wildlife to humans and knowledge of zoonotic risks associated with wildlife trade. Perceived training needs related to zoonotic disease prevention were analysed as a secondary knowledge outcome measure. Attitudes were measured through risk perception, operationalised as concern about zoonotic disease transmission. Practices included self-reported hunting and slaughtering of wildlife.
The analysis identified three distinct ontology classes: Relational environmentalism (52% of the population), characterised by strong spiritual connections to animals and a tendency to protect wildlife; Dualistic environmentalism (28%), with a weaker spiritual connection to animals but a commitment to wildlife conservation; and Neutral (20%), demonstrating little spiritual connection to animals and a neutral attitude towards wildlife conservation. In the logistic regression analyses, both environmentalism groups exhibited greater knowledge of zoonotic transmission and concern about outbreaks, with members of the Relational class demonstrating higher levels of these attributes. Furthermore, members of the Dualistic environmentalism class were less likely to have close contact with animals.
In Latin America’s biodiversity-rich regions, individuals whose ontology aligns with environmentalism appear to demonstrate a heightened awareness of zoonoses, particularly those who adhere to a Relational environmentalism perspective. Consequently, the integration of IPLC cultural knowledge holds potential to enhance wildlife conservation measures and contribute to the mitigation of disease transmission. Further research is needed to explore causal pathways and the integration of culturally grounded approaches into public health interventions.
The Mental health care: Adverse Sequelae of COVID-19 study aimed to (1) compare the consequences of the COVID-19 pandemic for mental health services and people with pre-existing mental health conditions (MHCs) in six low- and middle-income countries and (2) identify good practice to mitigate these impacts.
An observational study, using a mixed-methods convergent design triangulating data from (1) semistructured interviews or focus groups and/or a self-completed survey, (2) routine service utilisation data, (3) local grey literature and (4) expert consultation.
The study was conducted in Chile, Ethiopia, Georgia, Nigeria, South Africa and Sri Lanka.
121 key informants.
We found clear evidence in all sites that the pandemic exacerbated pre-existing disadvantages experienced by people with MHCs and led to a deterioration in the availability and quality of care, especially psychosocial care. Alongside increased vulnerability to COVID-19, people with MHCs faced additional barriers to accessing prevention and treatment interventions compared with the general population. To varying extents, sites showed accelerated implementation of digital technologies, but with evidence of worsening inequities in access. In sites where primary care-based mental healthcare was more developed or prioritised, systems seemed more resilient and adaptive.
Our findings have the following implications. First, these mental health service reductions are clear examples of ‘structural stigma’, namely policy level decisions in healthcare which place a low priority upon services for people with MHCs. Second, integration of mental healthcare into all general healthcare settings is key to ensuring accessibility and parity of physical and mental healthcare. Third, digital innovations should be designed to strengthen and not fragment health systems. We discuss these findings in terms of anticipating such challenges for future pandemics and preparing layers of resilience.
by Patricia Fiorino, Luigi Fernandes Rosa Cauduro, Danielle Silberspitz Konig, Leonardo Fernandes Rosa Cauduro, Caio de Araujo Santos, Juliana Alves Kavai, Isadora Durigan Duarte, Anna Laura Viacava Américo
Zebrafish (Danio rerio) are widely used as models in cardiovascular research due to their rapid development, optical transparency, and genetic similarity to humans. However, the lack of standardized experimental conditions, particularly regarding developmental stage and microenvironmental parameters, limits reproducibility across studies. This study aimed to characterize cardiovascular function in Zebrafish larvae and evaluate the impact of developmental stage and environmental factors. Wild-type AB embryos were maintained under standard conditions, and heart rate (HR), cardiac output (CO), and ejection fraction (EF) were measured at 24, 30, 48, 52, 56, 72, 78, and 80 hours post-fertilization (hpf). The effects of variations in temperature (27.0, 27.5, and 28.0 °C) and pH (7.0, 7.4, and 8.0) were also assessed. Results showed a progressive increase in HR from 24 to 72 hpf, stabilizing thereafter. CO exhibited two phases of elevation: an early rise between 24–48 hpf and a stronger increase between 48–56 hpf. EF remained generally stable, with a transient reduction at 48 hpf. Cardiovascular performance reached a physiologically stable state after 72 hpf, defining a reliable window for functional studies. Environmental conditions modulated these parameters: temperature variation induced approximately 20% difference in HR and reduced EF, while CO was minimally affected. In contrast, pH variations within the physiological range had no significant impact on HR, CO, or EF. These findings highlight developmental and environmental variables that may influence cardiovascular measurements in Zebrafish larvae and support the development of more consistent experimental approaches in cardiovascular and toxicological research.by Deepa Karki, Anuraj Phunyal, Tika Ram Lamichhane, Deepika Karki, Achyut Adhikari
The total phenolic content and flavonoid content of the Usnea cornuta extract were evaluated as 210.31 ± 2.87 mg GAE/g and 22.42 ± 0.78 mg QE/g, respectively. The crude extract exhibited strong antioxidant activity (IC50: 32.91 ± 1.27 µg/mL) and notable anti-diabetic effects via α-glucosidase inhibition, with IC50 values of 2.59 ± 2.23 µg/mL for the dichloromethane extract. LC-MS analysis identified eleven metabolites like D-mannitol (1), galbinic acid (2), conhypoprotocetraric acid (3), roccellaric acid (4), diffractatic acid (5), haemathamnolic acid isomer (6), conprotocetraric acid (7), constictic acid I (8), salazinic acid II (9), menegazziaic acid (10), and one unknown compound (11). Among these, menegazziaic acid exhibited the strongest binding affinity of −9.7 kcal/mol with the target (PDB ID 3A4A), favorable molecular dynamics, binding free energy (MM/GBSA, and pharmacokinetic profiles. Furthermore, the extract showed strong antimicrobial activity, with inhibition zones of 23 mm and 26 mm at 10 mg/mL against Staphylococcus aureus ATCC 29213 and ATCC 245, respectively. These findings highlight the therapeutic potential of Usnea cornuta, specifically for managing oxidative stress, microbial infections, and type 2 diabetes.To explore expectations and experiences of nurses and physicians with remote care monitoring for breast cancer patients within the Norwegian specialist health service.
Qualitative exploratory study.
Individual semi-structured interviews were conducted with nine nurses and physicians before and after the implementation of remote patient monitoring. The data were analysed using reflexive thematic analysis.
Three key themes were developed: (1) ‘Navigating patient empowerment: Reassurance, misinterpretation and guidance in remote patient monitoring communication’; (2) ‘Digital care impacts the workflow: Efficiency gains and hidden burdens’; and (3) ‘Clinical judgement in a digital context: Balancing standardisation and clinical discretion’.
While remote patient monitoring increased flexibility and targeted follow-up, it also reshaped roles and workloads and introduced new interpretive demands that often lack formal delegation, highlighting the need for clearer task allocation and organisational support.
Remote patient monitoring expands nurses' roles in symptom assessment and digital follow-up. As such, clear role boundaries and support for clinical judgement are essential for its successful implementation.
The results are relevant for management in healthcare services, nurses and other healthcare professionals implementing remote patient monitoring.
The study followed CORQ guidelines.
Four user representatives with lived experience of breast cancer contributed to the design of the study and gave input regarding the interview guide.
To examine the trajectories, core characteristics, and maintenance factors of social avoidance in patients with breast cancer during the first postoperative year.
Longitudinal, explanatory sequential mixed-method design.
This longitudinal study enrolled 176 postoperative breast cancer patients, conducting six follow-up assessments over 1 year. Latent class growth analysis was employed to identify heterogeneous trajectories of social avoidance behaviour, with multivariate logistic regression subsequently analyzing predictive factors. Building on these quantitative findings, semi-structured in-depth interviews were administered to target individuals identified through the analysis. Phenomenological methods were then utilized to elucidate core manifestations and maintenance factors of social avoidance.
Among the 176 enrolled breast cancer patients, 138 completed all six follow-up assessments. Latent class growth analysis identified two distinct subgroups with significant differences in social avoidance trajectories: ‘persistent high social avoidance’ and ‘persistent low social avoidance group’. Logistic regression revealed melancholic temperament as an independent risk factor for ‘persistent high social avoidance group’, while choleric temperament demonstrated protective effects. Phenomenological analysis of qualitative data systematically identified four core themes: (1) affective manifestations, (2) behavioural patterns, (3) psychological drivers, and (4) environmental determinants of social avoidance.
This study revealed heterogeneous dynamic trajectories of social avoidance behaviour in breast cancer patients, with core manifestations encompassing both affective and behavioural dimensions, sustained by multiple factors of personality, psychology, and environment.
This mixed-methods study systematically examined the developmental trajectories, core manifestations, and sustaining factors of social avoidance behaviour in breast cancer patients. The results provide robust evidence to inform precision screening for social avoidance risk, early prevention initiatives, and tailored intervention strategies in clinical nursing practice.
Journal article reporting standards for mixed-methods research.
No patient or public contribution.
To examine the effectiveness of Internet-delivered Cognitive Behaviour Therapy (ICBT) in improving psychosocial well-being and promoting weight-loss in adults ≥ 18 years with BMI ≥ 25 kg/m2.
Global obesity engenders significant physical and psychosocial health consequences. Second-wave ICBT focused on restructuring negative thoughts and behaviours has been explored as a potential intervention for elevated BMI and mental health concerns, but its effectiveness remains to be fully established, making further evaluation essential.
Eight databases were searched from inception to January 2025 for randomised controlled trials (RCTs), including participants ≥ 18 years with BMI ≥ 25 kg/m2 and second-wave ICBT evaluating BMI, weight, depression, eating behaviours, and self-esteem. This review followed PRISMA 2020. Study quality was assessed using the Cochrane Risk of Bias (ROB 2) and GRADE. Data were extracted using a modified Cochrane form. Random-effects meta-analysis calculated Standardised Mean Differences (SMD) with 95% confidence intervals, with subgroup analyses exploring heterogeneity.
Nine trials with 2278 participants were included. Significant improvements were seen in BMI, weight, and depressive symptoms while self-esteem effects were small and non-significant. Compared with passive controls, ICBT showed greater improvements in BMI and weight, whereas differences versus active control were smaller and inconsistent. Face-to-face CBT demonstrated superior outcomes for depression and self-esteem. Male-tailored interventions showed greater improvements. Shorter programmes yielded larger short-term weight loss, while longer programmes supported more sustained effects. Narrative synthesis indicated improvements in emotional and external eating, with increased mindful and restrictive eating behaviours.
ICBT improved weight, BMI, and depressive symptoms, with limited evidence for self-esteem. Male-tailored interventions and longer programmes may enhance sustainable outcomes.
Future ICBT programs should integrate strategies targeting sustainable weight loss and psychosocial well-being to support long-term outcomes.
Patients or members of the public were not involved, as this study synthesised previously published data.
PROSPERO registration number: CRD42024497961
To assess the prevalence of workplace violence (WPV) against clinical nursing students during internships and quantify the prevalence of different types of violence, such as physical, verbal and sexual.
Systematic review and meta-analysis.
Eligible cross-sectional studies that reported WPV prevalence among clinical nursing students were included. Two researchers independently screened literature and extracted data. The Joanna Briggs Institute tool was used to evaluate bias risk. Pooled prevalence rates, heterogeneity and publication bias were examined.
A comprehensive search was conducted across eight databases, from the inception of each database to 31 March 2025.
A total of 16 cross-sectional studies from eight countries involving 8037 nursing students were included in the analysis, with 11 studies (n = 5550) contributing to the overall pooled estimate. Using a random-effects model, the pooled prevalence of WPV of any type was found to be 40%, with substantial heterogeneity. Verbal violence emerged as the most prevalent subtype (47%), followed by sexual violence (12%) and physical violence (10%). Significant publication bias was detected for both physical and sexual violence, indicating a potential underestimation of the true prevalence.
This systematic review indicated that WPV is a significant occupational hazard encountered by clinical nursing students across diverse international contexts represented during internships.
These findings highlight the urgent need for educational and healthcare institutions and policymakers to implement coordinated measures, such as enhanced preventive training, comprehensive reporting and support systems and a zero tolerance safety culture to protect the future nursing workforce.
This systematic review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
This study did not include patient or public involvement in its design, conduct or reporting.
The research protocol was registered with PROSPERO (CRD420251027354).
FreshRSS 