Proactive Risk Assessment through FMEA of Home Parenteral Nutrition Care Processes: A Survey Analysis

Application of failure model and effect analysis in nursing care for patients who have undergone endoscopic sub-mucosal dissection

OBJECTIVE

The objective of this study is to investigate the effect after the application of Failure Model and Effect Analysis (FMEA) in nursing care for patients who have undergone endoscopic submucosal dissection (ESD).

METHODS

A cohort of 40 patients who underwent ESD between July and September 2023 were selected as the control group, while 42 patients who underwent ESD between October 2023 and June 2024 after implementing FMEA were selected as the observation group. A multidisciplinary team was established based on the FMEA model to analyze and create a nursing flowchart. The 3 primary processes and 13 sub-processes were thoroughly analyzed and assessed to identify potential failure models, possible causes of failure, and consequences for each sub-process. Risk Priority Numbers (RPNs) were calculated to determine priority failure models, including medication and item preparation, specimen collection, equipment/instrument/accessory preparation, and nursing coordination. Corresponding improvement measures were formulated and implemented followed by a subsequent analysis of the effects.

RESULTS

After implementing the improvement measures, there was a significant decrease in RPNs in the observation group when compared with the control group. A statistical significance was observed in context of medication and item preparation (P < 0.001), specimen collection (P < 0.001), equipment/instrument/accessory preparation (P < 0.001), and nursing coordination (P < 0.001).

CONCLUSION

The application of the FMEA model can effectively facilitate early nursing interventions for identified risks in patient who have undergone ESD. By instituting suitable corrective measures for aspects deemed high-risk, this approach significantly diminishes surgical nursing hazards, enhances the quality of nursing care, and guarantees patient safety.

Anti-COVID-19 Vaccination in the Italian General Population: Proactive Clinical Risk Analysis Using Failure Mode, Effects, and Criticality Analysis Technique

Background: Large-scale vaccination was crucial to address the global COVID-19 pandemic and its associated health risks, including fatal and disabling diseases. However, there were significant challenges to be overcome to ensure the safe and effective implementation of the vaccination program. The aim of the present study was to assess patient safety threats related to the anti-COVID-19 large-scale vaccination process. Methods: Between February and May 2021, we conducted a proper analysis to proactively identify risks and potential Failure Modes (FMs) in the COVID-19 vaccination process using the Failure Mode, Effects, and Criticality Analysis (FMECA) technique at an Italian Public Health Authority. A standardized risk scoring system was used to assess the severity, frequency, and detectability of events associated with potential failures. Criticalities were identified in both the preparatory and operational areas of the vaccination process, and several potential FMs were listed in descending order of risk score (Risk Priority Number, RPN) to ensure prioritization of interventions. Results: The most critical steps were found to be in the operational area rather than in the preparatory one. The highest RPNs were associated with failure or inadequate management of severe allergic reactions that can lead to serious harm and even death of the vaccinated person (RPN 60) and failure to keep updated vaccination teams' knowledge (RPN 36). Conclusions: Ensuring patient safety and effective clinical risk management are crucial in mass vaccination campaigns. By prioritizing these aspects through collaboration with various stakeholders and implementing preventive measures, patient trust-on which vaccination campaign success relies-can be built and maintained.

Analysis of Medico-Legal Complaint Data: A Retrospective Study of Three Large Italian University Hospitals

(1) Background: Identifying hospital-related critical, and excellent, areas represents the main goal of this paper, in both a national and local setting. Information was collected and organized for an internal company's reports, regarding civil litigation that has been affecting the hospital, to relate the obtained results with the phenomenon of medical malpractice on a national scale. This is for the development of targeted improvement strategies, and for investing available resources in a proficient way. (2) Methods: In the present study, data from claims management in Umberto I General Hospital, Agostino Gemelli University Hospital Foundation and Campus Bio-Medico University Hospital Foundation, from 2013 to 2020 were collected. A total of 2098 files were examined, and a set of 13 outcome indicators in the assessment of "quality of care" was proposed. (3) Results: From the total number, only 779 records (37.1%) were attributable to the categories indexable for the present analysis. This data highlights how, following a correct and rigorous categorization of hospital events, it is possible to analyze these medico-legal aspects using a small number of indicators. Furthermore, it is important to consider how a consistent percentage of remaining events was difficult to index, and was also of poor scientific interest. (4) Conclusions: The proposed indicators do not require standards to be compared to, but provide a useful instrument for comparative purposes. In fact, in addition to comparative assessment between different business realities distributed throughout the territory, the use of outcome indicators allows for a longitudinal analysis evaluating the performance of an individual structure over time.

Improved FMEA Methods for Proactive Health Care Risk Assessment of the Effectiveness and Efficiency of COVID-19 Remote Patient Telemonitoring

The COVID-19 pandemic exposed the need to more effectively harness and leverage digital tools and technology for remote patient monitoring (RPM). RPM gained great popularity given the need to provide effective, safe, efficient, and remote patient care. RPM is based on noninvasive digital technologies aimed at improving the safety and efficiency of health care delivery. We report on an RPM program in which 200 COVID-19 patients were followed remotely to evaluate the effectiveness in treating and monitoring patients in home settings. We analyzed the inherent risks using mixed methods, including failure mode and effect analysis, a prospective, team-based risk management methodology structured to identify high-risk process system failures before they occur in telemonitoring of remote patients. The RPM saved lives and improved decision-making during the pandemic and helped prevent the health system's collapse. The failure mode and effect analysis-based assessment offers important insights and considerations for evaluating future RPM implementation and direction. RPM solutions are technically feasible, staff friendly, and can achieve high adherence rates. Rigorous and ongoing evaluation of devices and platforms is essential to clarifying their value and guiding national health and insurance health coverage decisions and adoption programs.

Resilience and Protection of Health Care and Research Laboratory Workers During the SARS-CoV-2 Pandemic: Analysis and Case Study From an Austrian High Security Laboratory

The SARS-CoV-2 pandemic has highlighted the interdependency of healthcare systems and research organizations on manufacturers and suppliers of personnel protective equipment (PPE) and the need for well-trained personnel who can react quickly to changing working conditions. Reports on challenges faced by research laboratory workers (RLWs) are rare in contrast to the lived experience of hospital health care workers. We report on experiences gained by RLWs (e.g., molecular scientists, pathologists, autopsy assistants) who significantly contributed to combating the pandemic under particularly challenging conditions due to increased workload, sickness and interrupted PPE supply chains. RLWs perform a broad spectrum of work with SARS-CoV-2 such as autopsies, establishment of virus cultures and infection models, development and verification of diagnostics, performance of virus inactivation assays to investigate various antiviral agents including vaccines and evaluation of decontamination technologies in high containment biological laboratories (HCBL). Performance of autopsies and laboratory work increased substantially during the pandemic and thus led to highly demanding working conditions with working shifts of more than eight hours working in PPE that stressed individual limits and also the ergonomic and safety limits of PPE. We provide detailed insights into the challenges of the stressful daily laboratory routine since the pandemic began, lessons learned, and suggest solutions for better safety based on a case study of a newly established HCBL (i.e., BSL-3 laboratory) designed for autopsies and research laboratory work. Reduced personal risk, increased resilience, and stress resistance can be achieved by improved PPE components, better training, redundant safety measures, inculcating a culture of safety, and excellent teamwork.