Evaluating the effect of COVID-19 incidence on Emergency Departments admissions. Results from a retrospective study in Central Italy during the first year of pandemic.

Introduction: The COVID-19 pandemic has had a major impact on the Healthcare System, changing the patterns of Emergency Department access. In fact, accesses for trauma and less severe cases decreased significantly. This decline has generally been attributed to both the effects of the lockdown, imposed by the government, and the fear of being infected by SARS-CoV-2 in the hospital. However, the correlation between these elements is not yet clear, since the accesses to the Emergency Department did not increase either at the end of the lockdown or in the summer when the epidemiological situation was more favorable. Aim: To evaluate the association between trends of Emergency Department accesses and COVID-19 incidence in 2020. Methods: Data on Emergency Department accesses, by month and severity triage code, from 14 hospitals in southeastern Tuscany (Italy) were obtained from hospitals' data warehouse. Official data on new cases of COVID-19 infection were used to calculate incidence. Hospitals were classified into 4 categories. Differences in Emergency Department access by month, triage code, and hospital type were investigated using Kruskal-Wallis analysis. Association between Emergency Department accesses and COVID-19 incidence was evaluated using a random-effect panel data analysis, adjusting for hospital type and triage code. Results: The trend of 268,072 Emergency Department accesses decreases substantially at the first pandemic peak; thereafter, it increased and decreased again until the minimum peak in November 2020. COVID-19 incidence appeared to be overlapping with an inverse direction. Monthly differences were significant (p<0.01) except for most severe codes. There was a significant inverse association between Emergency Department accesses and COVID-19 incidence (Coef. =-0.074, p<0.001) except for most severe cases (triage code 1: Coef. =-0.028, p=0.154). Conclusion: Emergency Department admissions trend followed the COVID-19 incidence, except for the most severe cases. Fear of infection seems to discourage patients from accessing Emergency Department for illnesses perceived as not serious.

A Literature Systematic Review with Meta-Analysis of Symptoms Prevalence in Covid-19: the Relevance of Olfactory Symptoms in Infection Not Requiring Hospitalization.

PURPOSE OF REVIEW: To investigate the association between the olfactory dysfunction and the more typical symptoms (fever, cough, dyspnoea) within the Sars-CoV-2 infection (COVID-19) in hospitalized and non-hospitalized patients. RECENT FINDINGS: PubMed, Scopus and Web of Science databases were reviewed from May 5, 2020, to June 1, 2020. Inclusion criteria included English, French, German, Spanish or Italian language studies containing original data related to COVID19, anosmia, fever, cough, and dyspnoea, in both hospital and non-hospital settings. Two investigators independently reviewed all manuscripts and performed quality assessment and quantitative meta-analysis using validated tools. A third author arbitrated full-text disagreements. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), 11 of 135 studies fulfilled eligibility. Anosmia was estimated less prevalent than fever and cough (respectively rate difference = - 0.316, 95% CI: - 0.574 to - 0.058, Z = - 2.404, p < 0.016, k = 11 and rate difference = - 0.249, 95% CI: - 0.402 to - 0.096, Z = - 3.185, p < 0.001, k = 11); the analysis between anosmia and dyspnoea was not significant (rate difference = - 0.008, 95% CI: - 0.166 to 0.150, Z = - 0.099, p < 0.921, k = 8). The typical symptoms were significantly more frequent than anosmia in hospitalized more critical patients than in non-hospitalized ones (respectively [Q(1) = 50.638 p < 0.000, Q(1) = 52.520 p < 0.000, Q(1) = 100.734 p < 0.000). SUMMARY: Patient with new onset olfactory dysfunction should be investigated for COVID-19. Anosmia is more frequent in non-hospitalized COVID-19 patients than in hospitalized ones.

Clinical risk management in High-Security Forensic Psychiatry Residences. Protecting patients and health professionals: perspectives and critical issues of the Law 81/2014.

The Italian Law n. 9/2012 provided the Italian Regions with a new decisional role by demanding the management/rehabilitation of prisoners judged as partially/fully mentally ill to care and protection delivered by the psychiatric services of the Regional Health Service. Healthcare has to be guaranteed by the so-called High-Security Forensic Psychiatry Residences (Italian: Residenze per l'Esecuzione delle Misure di Sicurezza: REMS) and by community mental health centres. Ensuring patients' and professionals' health and safety is a complex issue which requires effective strategies to cope with several structural, technological, and organisational problems. The present paper summarises the historical evolution of the Italian laws towards the development of the High-Security Forensic Psychiatry Residences in Italy, focusing specifically on the Tuscany Region situation. The paper also presents the key issues emerging after the implementation of the Law 81/2014 which complemented the Law 9/2012. Since these reforms included the need for assessing to what extent the patient may be considered as a danger to society and for ensuring the safety of National Health Service (NHS) professionals, they underscored the importance of a preventive use of specific clinical governance tools aimed to reduce risk of adverse events. The present work has the strength of proposing a new, evidence-based scientific approach to the implementation of assessment and care pathways in High-Security Forensic Psychiatry Residences.

The Workplace Health Promotion (WHP) programme in an Italian University Hospital.

INTRODUCTION: Description of the lifestyles of employees of the Siena University Hospital (Azienda Ospedaliera Universitaria Senese: AOUS), as assessed through a Workplace Health Promotion (WHP) project in the two-year period 2017-18; assessment of possible short-term effects of integrated health promotion interventions in the workplace, within the framework of the Tuscany WHP network, as applied in the AOUS and involving about 1,000 workers. METHODS: A cross-sectional study and a pre-post evaluation of data collected by means of anonymous questionnaires in two phases: before the beginning of the programme and after 12 months. RESULTS: Twelve months after the start of the programme regarding diet (consumption of fruit and vegetables) and physical activity, the positive effects that emerged were not statistically significant. No differences were observed between gender or professional categories. The employees' perception of the programme was satisfactory. CONCLUSIONS: Albeit within the methodological limits of the assessment, the results showed that the diffusion of some major risk factors for chronic diseases had not decreased after 12 months' exposure to the programme. However, monitoring of these risk factors needs to be continued over a longer period, in order to detect the appearance of the expected changes in the long term. Moreover, it is essential to continue monitoring by sex and professional category, in order to pick out any differences and, if possible, take remedial actions. Further studies, in collaboration with the pertinent physicians, are desirable, since integrating data collected during health surveillance with a limited set of indicators of general risk factors may help to promptly identify possible health needs among employees.

A queueing theory based model for business continuity in hospitals.

Clinical activities can be seen as results of precise and defined events' succession where every single phase is characterized by a waiting time which includes working duration and possible delay. Technology makes part of this process. For a proper business continuity management, planning the minimum number of devices according to the working load only is not enough. A risk analysis on the whole process should be carried out in order to define which interventions and extra purchase have to be made. Markov models and reliability engineering approaches can be used for evaluating the possible interventions and to protect the whole system from technology failures. The following paper reports a case study on the application of the proposed integrated model, including risk analysis approach and queuing theory model, for defining the proper number of device which are essential to guarantee medical activity and comply the business continuity management requirements in hospitals.