Patient Safety and Surgery: the Experience of the Lombardy Region. A Project on External Evaluation of Best Practices Implementation.

Meta-analysis studies published over the past 20 years document that approximately 10 -14 % of hospitalised patients have an adverse event in Surgery and at least half of these adverse events are considered preventable using the current standards of care. In order to improve the safety of surgical patients and increasing adherence to current standard of care in surgery, including communication within the team and teamwork, in 2007 the WHO launched the campaign "Safe Surgery Saves Lives". The WHO has also built a checklist for safety in the operating room containing 19 item in support of the operating team. The Ministry of Health in 2009 has taken the instruments produced by WHO in the "Guide to Safety in the operating room: Recommendations and Checklist". Studies conducted in industrialized countries report a strong heterogeneity in compliance to the check list for the surgical safety, with a range of between 38% and 96%. The aim of this project was to adopt the methodology of the external "peer review" to improve quality and patient safety applied to the surgical process and assess the degree of implementation of good practice in the operating room, both in public and private structures. Between 2015 and 2018 we have carried out 16 external evaluation visits. These visits included a first plenary session followed by the inspection of the operating theaters identified and a second plenary session. Several factors emerged during the visits; these factors represent both the strengths and criticalities of the organizations. The creation of a team of experts, coordinated by the Lombardy Region with the role of leadership, using the "peer review" methodology, is the leverage to promote among operators the growth of awareness of the usefulness of the tools.

[A national survey on occupational safety and health: the role of the health and safety representatives.] / IMPAcT-RLS2: Indagine nazionale sulla salute e la sicurezza sul lavoro: il ruolo dei Rappresentanti dei Lavoratori per la Sicurezza.

SUMMARY: The IMPAcT-RLS2 survey is part of a larger context of INSuLa2 research program; its first edition was conducted in 2014 and targeted to all prevention professionals, investigating occupational health and safety (OSH) protection issues perceived by the various professionals' point of view. The survey addressed to Health and Safety Representatives (HS reps.), focused on three regional contexts, was further implemented in 2016 through the IMPAcT-RLS survey, which involved a sample representative at national level, by company size and economic activity sector consisting of about 2,100 subjects. The survey highlighted the importance of having ever more in-depth information on the role of HS reps. and monitoring their evolution over time. This study arises from the need to create periodic and replicable surveys, aimed at increasing knowledge and awareness of prevention systems and promoting increasingly targeted interventions for improving the protection of OSH.

Assessing Hospital Adaptive Resource Allocation Strategies in Responding to Mass Casualty Incidents.

OBJECTIVES: Hospitals are expected to operate at a high-performance level even under exceptional conditions of peak demand and resource disruptions. This understanding is not mature yet, and there are wide areas of possible improvement. In particular, the fast mobilization and reconfiguration of resources frequently result into the severe disruption of elective activities, worsening the quality of care. More resilient resource allocation strategies, ie, which adapt to the dynamics of the prevailing circumstance, are needed to maximize the effectiveness of health-care delivery. In this study, a simulation approach was adopted to assess and compare different hospital's adaptive resource allocation strategies in responding to a mass casualty incident (MCI). METHODS: A specific set of performance metrics was developed to take into consideration multiple objectives and priorities and holistically assess the effectiveness of health-care delivery when coping with an MCI event. Discrete event simulation (DES) and system dynamics (SD) were used to model the key hospital processes and the MCI plan. RESULTS: In the daytime scenario, during the recovery phase of the emergency, a gradual disengagement of resources from the emergency department (ED) to restart ordinary activities in operating rooms and wards, returned the best performance. In the night scenario, the absorption capacity of the ED was evaluated by identifying the current bottleneck and assessment of the benefit of different resource mobilization strategies. CONCLUSIONS: The present study offers a robust approach, effective strategies, and new insights to design more resilient plans to cope with MCIs. Future research is needed to widen the scope of the analysis and take into consideration additional resilience capacities, such as operational coordination mechanisms, among multiple hospitals in the same geographic area.

The impact of business continuity management on the components of supply chain resilience: A quantitative analysis.

This study investigates the mitigating influence of business continuity management (BCM) with respect to supply chain disruptions. Using a dataset from the 2017 BCI Supply Chain Resilience Report, the authors conduct partial least square-based structural equation modelling with reflective constructs for both exogenous and endogenous variables. The results demonstrate that BCM reduces vulnerability and mitigates the impact of supply chain disruptions on operational performance. The study highlights BCM's contribution to such important components of supply chain resilience as visibility, collaboration and agility. In addition to demonstrating the impact of BCM on supply chain resilience, the paper explains the role of top management in the BCM process, and provides a list of measures that organisations can take to protect themselves from external threats. This is the first study to use statistical analysis to provide empirical validation in this field, while employing a clear definition of BCM in line with international best practices.

Assessing Hospital Adaptive Resource Allocation Strategies in Responding to Mass Casualty Incidents.

BACKGROUND: Hospitals are expected to operate at a high performance level even under exceptional conditions of peak demand and resource disruptions. This understanding is not mature yet and there are wide areas of possible improvement. In particular, the fast mobilization and reconfiguration of resources frequently result into the severe disruption of elective activities, worsening the quality of care. This becomes particularly evident during the on-going coronavirus disease 2019 (COVID-19) pandemic. More resilient resource allocation strategies, that is, which adapt to the dynamics of the prevailing circumstance, are needed to maximize the effectiveness of health-care delivery. In this study, a simulation approach was adopted to assess and compare different hospital's adaptive resource allocation strategies in responding to a sudden onset disaster mass casualty incident (MCI). METHODS: A specific set of performance metrics was developed to take into consideration multiple objectives and priorities and holistically assess the effectiveness of health-care delivery when coping with an MCI event. Discrete event simulation (DES) and system dynamics (SD) were used to model the key hospital processes and the MCI plan. RESULTS: In the daytime scenario, during the recovery phase of the disaster, a gradual disengagement of resources from the emergency department (ED) to restart ordinary activities in operating rooms and wards returned the best performance. In the night scenario, the absorption capacity of the ED was evaluated by identifying the current bottleneck and assessment of the benefit of different resource mobilization strategies. CONCLUSIONS: The present study offers a robust approach, effective strategies and new insights to design more resilient plans to cope with MCIs. It becomes particularly relevant when considering the risk of indirect damage of emergencies, where all the available resources are shifted from the care of the ordinary to the "disaster" patients, like during the on-going COVID-19 pandemic. Future research is needed to widen the scope of the analysis and take into consideration additional resilience capacities such as operational coordination mechanisms among multiple hospitals in the same geographic area.

Covid-19 Massive Vaccination Center Layouts.

BACKGROUND AND AIM OF THE WORK: The rapid evolution of Covid-19 and the availability of numerous vaccines led countries to set up Massive Vaccination campaign in a very short time. Since December 2020, due to the lack of specific guidelines, multidisciplinary groups started to investigate the minimum requirements for Massive Vaccination Centers (MVC). The aim of the paper is to shed light on the process of development of a scalable model for MVC layout design and implementation. METHODS: The methodology included two phases and six steps: 1)Study of MVC with i) acquisition of process data from experimental study on an early set up vaccination hub; ii) review of scientific literature on MVC; iii) review of existing available guidelines and international examples; 2) Design proposal with iv) functional and space requirements collection; v) standard MVC layout design and vi) scalable model definition. RESULTS: The resulting layout is compact, has a good wayfinding and address safety reducing cross-contamination risks. Different vaccine lines have been designed with a central dilution area for process efficiency. Healthcare staff wellbeing is guaranteed by the provision of resting spaces, short distances, and the correct sizing of space for the different activities. To ensure optimal vaccination capacity at the peak of vaccination, a modular and scalable model of different sizes has been designed ranging from 400 to 12000 m2. CONCLUSIONS: The modular layout has been used as basic model in the regional legislation, disclosed with the Deliberation n° XI / 4353 of 24/02/2021. Further research is encouraged to compare different national and international layouts.

A methodology for Dynamic Human Reliability Analysis in Robotic Surgery.

Surgery has changed significantly in recent years due to the introduction of advanced technologies, resulting in increased system complexity at the technical, human and organisational levels, which may lead to higher variability of patient outcome due to new error pathways. Current approaches towards a safer surgery are largely based on ex-post analysis of events and process monitoring (e.g. root cause analysis, safety checklists, safety audits). However, adopting a proactive approach enables the prior identification of critical factors and the design of safer sociotechnical systems, thanks to a multi-level (or mesoergnomics) perspective. In this paper, a methodology for performing mesoergonomics analysis of surgical procedures is proposed. It is a methodology for Dynamic Human Reliability Analysis in Robotic Surgery based on a modified version of human error assessment and reduction technique (HEART) integrated with a method for incorporating uncertainties related to the influence of personal and organisational factors on the execution of a surgical procedure. The pilot application involves a robot-assisted radical prostatectomy procedure, and the results reveal that team-related factors have the greatest impact on patient outcome variability.

Applying failure mode effects and criticality analysis in radiotherapy: lessons learned and perspectives of enhancement.

INTRODUCTION: The radiation oncology process along with its unique therapeutic properties is also potentially dangerous for the patient, and thus it should be delivered under a systematic risk control. To this aim incident reporting and analysis are not sufficient for assuring patient safety and proactive risk assessment should also be implemented. The paper accounts for some methodological solutions, lessons learned and opportunities for improvement, starting from the systematic application of the failure mode effects and criticality analysis (FMECA) technique to the radiotherapy process of an Italian hospital. MATERIALS AND METHODS: The analysis, performed by a working group made of experts of the radiotherapy unit, was organised into the following steps: (1) complete and detailed analysis of the process (integration definition for function modelling); (2) identification of possible failure modes (FM) of the process, representing sources of adverse events for the patient; (3) qualitative risk assessment of FMs, aimed at identifying priorities of intervention; (4) identification and planning of corrective actions. RESULTS: Organisational and procedural corrective measures were implemented; a set of safety indexes for the process was integrated within the traditional quality assurance indicators measured by the unit. A strong commitment of all the professionals involved was observed and the study revealed to be a powerful "tool" for dissemination of patient safety culture. CONCLUSION: The feasibility of FMECA in fostering radiotherapy safety was proven; nevertheless, some lessons learned as well as weaknesses of current practices in risk management open to future research for the integration of retrospective methods (e.g. incident reporting or root cause analysis) and risk assessment.