Conectar
To translate, culturally adapt and validate the Italian version of Fundamentals of Care Framework and the Fundamentals of Care Practice Process.
Qualitative tool validation study.
The study followed internationally recommended procedures, including forward–backward translation, expert committee review, content validation through cognitive interviews and face validity testing with nurses and nursing students. Data were collected between January and October 2023.
Key terms were culturally and linguistically adapted to enhance clarity and contextual relevance, with changes informed by expert feedback. Content validation confirmed conceptual equivalence, and face validity testing demonstrated that Italian versions were perceived as clear, appropriate and applicable across clinical and educational settings.
Cultural adaptation of theoretical frameworks is essential for ensuring their relevance and usability in local contexts. The Italian versions of the Fundamentals of Care Framework and the Fundamentals of Care Practice Process will provide a robust, evidence-based foundation for person-centred care across education, research and clinical practice.
By making these tools accessible in Italian, this study supports the integration of fundamentals of care into national nursing education and practice, promoting international consistency in person-centred care. It lays the groundwork for curriculum reform, clinical implementation and global collaboration in nursing.
Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist.
This study did not involve any patient or public contribution.
ClinicalTrials.gov identifier: NCT05177627
Acute lower limb ischaemia (ALI) is a life- and limb-threatening vascular emergency requiring urgent intervention. Despite advancements in therapeutic strategies, outcome reporting for ALI remains inconsistent, limiting evidence synthesis and guideline development. The CORE-ALI study aims to develop a Core Outcome Set (COS) to standardise outcome reporting and ensure the inclusion of both clinical and patient-centred metrics.
CORE-ALI will use a structured, multi-phase methodology guided by the Core Outcome Measures in Effectiveness Trials (COMET) initiative and the Core Outcome Set-STAndards for Reporting (COS-STAR) guidelines. Phase 1 involves stakeholder engagement through semi-structured interviews with patients, clinicians and policymakers from diverse European healthcare systems. Qualitative data will be analysed using thematic analysis to generate a preliminary list of outcomes. In Phase 2, a multi-round Delphi survey (anticipated two to three rounds) will prioritise and refine outcomes through consensus building, with quantitative data analysed using descriptive and non-parametric statistical methods. Phase 3 will culminate in a consensus meeting to finalise the COS. Multilingual accommodations will ensure inclusivity, and General Data Protection Regulation (GDPR)-compliant platforms will secure data handling.
The study has received ethics approval from the Ethics Committee of the Medical University of Innsbruck (EK Nr: 1082/2025) on 20/05/2025. Additional local ethics approvals are required and will be obtained at all participating sites prior to the initiation of recruitment. The final Core outcome set will be disseminated through peer-reviewed publications, presentations at international conferences and engagement with professional societies and patient organisations.
COMET initiative (Registration No. 3346).
Endovascular aortic aneurysm repair (EVAR) requires long-term surveillance to detect and treat postoperative complications. However, prediction models to optimise follow-up strategies are still lacking. The primary objective of this study is to develop predictive models of post-operative outcomes following elective EVAR using Artificial Intelligence (AI)-driven analysis. The secondary objective is to investigate morphological aortic changes following EVAR.
This international, multicentre, observational study will retrospectively include 500 patients who underwent elective EVAR. Primary outcomes are EVAR postoperative complications including deaths, re-interventions, endoleaks, limb occlusion and stent-graft migration occurring within 1 year and at mid-term follow-up (1 to 3 years). Secondary outcomes are aortic anatomical changes. Morphological changes following EVAR will be analysed and compared based on preoperative and postoperative CT angiography (CTA) images (within 1 to 12 months, and at the last follow-up) using the AI-based software PRAEVAorta 2 (Nurea). Deep learning algorithms will be applied to stratify the risk of postoperative outcomes into low or high-risk categories. The training and testing dataset will be respectively composed of 70% and 30% of the cohort.
The study protocol is designed to ensure that the sponsor and the investigators comply with the principles of the Declaration of Helsinki and the ICH E6 good clinical practice guideline. The study has been approved by the ethics committee of the University Hospital of Patras (Patras, Greece) under the number 492/05.12.2024. The results of the study will be presented at relevant national and international conferences and submitted for publication to peer-review journals.
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