Translating knowledge into policy: Organizational model and minimum requirements for the implementation of a regional pancreas unit network.

Pancreatic and periampullary cancers pose significant challenges in oncological care due to their complexity and diagnostic difficulties. Global experiences underscore the crucial role of multidisciplinary collaboration and centralized care in improving patient outcomes in this context. Recognizing these challenges, Lombardy, Italy's most populous region, embarked on establishing pancreas units across its territory to enhance clinical outcomes and organizational efficiency. This initiative, driven by a multistakeholder approach involving the Lombardy Welfare Directorate, clinicians, and a patient association, emphasizes the centralization of complex care in high-volume hospitals, adopting a hub-and-spoke model and a multidisciplinary approach. This article outlines the process and criteria set forth for pancreas unit implementation, aiming to provide a structured framework for enhancing pancreatic cancer care. Central to this initiative is the establishment of structured criteria and minimal requirements, not only for surgery but also for other essential components of care, ensuring a comprehensive approach to pancreatic cancer management. The Lombardy model offers a structured framework for enhancing pancreatic cancer care, with potential applicability to other regions and countries seeking to improve their cancer care infrastructure.

Suture-Mediated Patent Foramen Ovale Closure Using the NobleStitch EL: Results from a Hospital-Based HTA.

(1) Background: Patent foramen ovale (PFO) is a congenital abnormality present in up to 25% of the general population, and it is a relevant cause of cryptogenic stroke. We applied the hospital-based HTA model (AdHopHTA) to conduct a multidimensional assessment of NobleStitch EL, an innovative suture-mediated PFO closure device. We compared it to Amplatzer PFO Occluder (APO) to provide evidence to inform technologies' governance in hospital settings. (2) Methods: For each AdHopHTA dimension we: systematically retrieved available evidence from the literature applying the PRISMA guidelines and then analyzed original clinical and cost data of a NobleStitch EL device at San Raffaele research hospital in Milan (Italy). The economic dimension was analyzed through activity-based costing and a cost analysis. We conducted semi-structured interviews with selected healthcare professionals to explore the organizational, legal, social, and ethical impact. (3) Results: A single study was included for the NobleStitch EL, with 10 for APO. Both literature data and original data showed comparable safety. Efficacy data analysis found that the PFO closure was at 89% for NobleStitch EL vs. 89-97% for APO. APO has a better impact on the budget and minor process costs. Consulted experts reported that the organizational impact of NobleStitch EL in the short and the long run as null, albeit a better impact under the social and the ethical aspects. (4) Conclusion: We suggest that there is inadequate evidence to conclude the relative efficacy of NobleStitch EL as compared to APO. Nevertheless, this report shows a good safety profile and higher costs for NobleStitch EL, with no organizational or legal impact. Further studies in selected population are recommended.

Physician-to-Nurse Handover: A Systematic Review on the Effectiveness of Different Models.

OBJECTIVES: Effective professional communication and accurate transfer of relevant clinical information are crucial components of healthcare delivery. National and international health authorities strongly recommend the adoption of effective handover practice. Still, scant evidence is available on the impact of different multiprofessional handover models. METHODS: We carried out a systematic review following the Prepared Items for Systematic Reviews and Meta-Analysis guidelines to retrieve, pool, and critically appraise the available evidence on the effectiveness of different physician-to-nurse handover models adopted in inpatient settings. RESULTS: We identified 1.243 citations searching the databases Medline, Embase, and CINAHL. After screening, 10 studies were included in the review reporting results on the effectiveness of 8 different handover models, measured on 44 different outcomes, grouped into: (1) process of care and efficiency outcomes, (2) patients' outcomes, and (3) healthcare professionals-related outcomes. Overall, applying structured handover tools improve healthcare practice and selected outcomes; however, not only solid evidence on the effectiveness of different handover models is scant but also global consensus is lacking on which standardized measures and indicators to use to assess their impact. CONCLUSIONS: In times of healthcare delivery models of growing complexity, multiprofessional handover is a key component of care paths. Although there is overall consensus on the need for improving the quality and safety of multiprofessional handover, the evidence on the tools available to achieve it and the metrics to measure their impact is heterogeneous. We urge that rigorous studies are conducted to inform the planning, implementation, and monitoring of effective handover, with the ultimate aim of improving quality of care and patient safety.

[A model of continuity of care for not residents through medical-nursing teleconsultation in a Hub & Spoke network]. / Un modello di continuità assistenziale per turisti e non residenti tramite teleconsulto medico-infermieristico in rete Hub & Spoke.

. A model of continuity of care for not residents through medical-nursing teleconsultation in a Hub & Spoke network. INTRODUCTION: The Seasonal Continuity of Care (CAS) is a service of the Bergamo Health Protection Agency that provides medical and healthcare services, guaranteeing outpatient or home care to Italian and foreign tourists and seasonal workers during the months of July and August. The Covid-19 pandemic and the shortage of doctors made it impossible to provide the service in 2021 as in previous summer seasons. AIMS: To activate a CAS service with the involvement of nurses. METHODS: A "Hub-Spoke" network model was activated; nurses in the Spoke sites, with the patient in attendance, through teleconsultation by video call, made remote contact with a doctor in the Hub. RESULTS: In the 3 Spoke CASs, from 2 to 22 August 2021, 274 services (of which 14.3% were teleconsultations between the nurse at the Spoke CAS site and the doctor at the Hub site) and 162 repeat prescription requests were made. Teleconsultation was mainly performed for patients with acute pathology (71.8%), mainly for arthralgia and fever. In the majority of cases, it was sufficient to answer to the needs of the patient (87.2%); a small number of cases were referred to a doctor's appointment (10.3%) or to Emergency Department (2.6%). CONCLUSIONS: Nurse triage reduced the time of medical visits, allowing more patients to be taken care of. The need for digital infrastructure, training and integration with district services emerged.

Artificial intelligence-based tools to control healthcare associated infections: A systematic review of the literature.

BACKGROUND: Healthcare-associated infections (HAIs) are the most frequent adverse events in healthcare and a global public health concern. Surveillance is the foundation for effective HAIs prevention and control. Manual surveillance is labor intensive, costly and lacks standardization. Artificial Intelligence (AI) and machine learning (ML) might support the development of HAI surveillance algorithms aimed at understanding HAIs risk factors, improve patient risk stratification, identification of transmission pathways, timely or real-time detection. Scant evidence is available on AI and ML implementation in the field of HAIs and no clear patterns emerges on its impact. METHODS: We conducted a systematic review following the PRISMA guidelines to systematically retrieve, quantitatively pool and critically appraise the available evidence on the development, implementation, performance and impact of ML-based HAIs detection models. RESULTS: Of 3445 identified citations, 27 studies were included in the review, the majority published in the US (n=15, 55.6%) and on surgical site infections (SSI, n=8, 29.6%). Only 1 randomized controlled trial was included. Within included studies, 17 (63%) ML approaches were classified as predictive and 10 (37%) as retrospective. Most of the studies compared ML algorithms' performance with non-ML logistic regression statistical algorithms, 18.5% compared different ML models' performance, 11.1% assessed ML algorithms' performance in comparison with clinical diagnosis scores, 11.1% with standard or automated surveillance models. Overall, there is moderate evidence that ML-based models perform equal or better as compared to non-ML approaches and that they reach relatively high-performance standards. However, heterogeneity amongst the studies is very high and did not dissipate significantly in subgroup analyses, by type of infection or type of outcome. DISCUSSION: Available evidence mainly focuses on the development and testing of HAIs detection and prediction models, while their adoption and impact for research, healthcare quality improvement, or national surveillance purposes is still far from being explored.

Intraoperative monitoring of marginal mandibular nerve during neck dissection.

BACKGROUND: The purpose of this study was to assess the efficacy of intraoperative nerve integrity monitoring (NIM) to prevent marginal mandibular nerve injuries during neck dissection. METHODS: This prospective study compared 36 patients undergoing NIM-assisted neck dissection from July 2014 to March 2015 to a cohort of 35 patients subjected to neck dissection over an identical period of time before the technique was introduced. We also assessed possible correlations between marginal mandibular nerve injuries and other factors, such as anthropometric measurements, presence of clinical neck metastases, type of neck dissection, and site of primary tumor. RESULTS: The incidence of marginal mandibular nerve paralyses was significantly lower among the group of patients undergoing NIM-assisted neck dissection (P = .021). There was no significant difference in the duration of the procedure, and the technique resulted in a limited increase of cost. No other factor seemed to influence the onset of marginal mandibular nerve palsy. CONCLUSION: In our opinion, NIM is a valuable aid for preventing marginal mandibular nerve injuries during neck dissection.