Early Phase Management of the SARS-CoV-2 Pandemic in the Geographic Area of the Veneto Region, in One of the World's Oldest Populations.

The first cases of Coronavirus disease-2019 (COVID-19) were reported on 21 February in the small town of Vo' near Padua in the Veneto region of Italy. This event led to 19,286 infected people in the region by 30 June 2020 (39.30 cases/10,000 inhabitants). Meanwhile, Rovigo Local Health Unit n. 5 (ULSS 5), bordering areas with high epidemic rates and having one of the world's oldest populations, registered the lowest infection rates in the region (19.03 cases/10,000 inhabitants). The aim of this study was to describe timing and event management by ULSS 5 in preventing the propagation of infection within the timeframe spanning from 21 February to 30 June. Our analysis considered age, genetic clusters, sex, orography, the population density, pollution, and economic activities linked to the pandemic, according to the literature. The ULSS 5 Health Director General's quick decision-making in the realm of public health, territorial assistance, and retirement homes were key to taking the right actions at the right time. Indeed, the number of isolated cases in the Veneto region was the highest among all the Italian regions at the beginning of the epidemic. Moreover, the implementation of molecular diagnostic tools, which were initially absent, enabled health care experts to make quick diagnoses. Quick decision-making, timely actions, and encouraging results were achieved thanks to a solid chain of command, despite a somewhat unclear legislative environment. In conclusion, we believe that the containment of the epidemic depends on the time factor, coupled with a strong sense of awareness and discretion in the Health Director General's decision-making. Moreover, real-time communication with operating units and institutions goes hand in hand with the common goal of protecting public health.

[OssERvare Project: direct observation of use of the Safety Surgery CheckList in the operating room.] / Progetto OssERvare: osservazione diretta dell'uso della Safety Surgery Checklist in sala operatoria.

INTRODUCTION: Safety Surgery CheckList (SSCL) is a support tool for operating teams, used to carry out safety checks while also encouraging compliance with the implementation of recommended quality and safety standards. In Emilia-Romagna it was deemed appropriate to check actual surgical team compliance with correct checklist application in the operating theatre, through a project called "OssERvare". METHODS: Direct observation was identified as the preferred inspection method. With the use of special report sheets, observers proceeded with the guided observation of behaviour in the operating room, recording any inconsistencies with correct SSCL use methods. The project began in January 2017 and all observations were carried out from 1st January-15th April 2017. RESULTS: In 43% of observed operation sign in, all three team members were not present, whereas in 7% of observed cases, sign out was not carried out. All three team members were present in 88% of observed operation time out. There are two evidently critical phases: sign in and sign out. Results obtained for time out were better. DISCUSSION AND CONCLUSION: Compliance data collected from observations differed markedly from reported compliance in administrative flow records. The results of the observational study indicate that the SSCL is not properly filled in many times; there is also a great possibility to improve the correct use of this tool. In conclusion, we think that the combined approach of use of administrative data and assessing compliance appeared to be a useful instrument to investigate the implementation and to promote the real utilization of safety tools such as the SSCL.

Temporal Patterns of In-Hospital Falls of Elderly Patients.

BACKGROUND: A potentially important factor yet to receive adequate study is the time when hospital falls occur. A prior study conducted before the system-wide introduction of preventive measures revealed a biphasic 24-hour pattern of hospital falls with major peak in the morning. OBJECTIVES: The purpose was to identify the temporal patterning of falls among elderly patients in hospitals with comprehensive fall prevention programs in place. METHODS: A 4-year observational study was conducted by the local health authority in the five nonteaching public hospitals located in the province of Ferrara, Italy. Fall records involving patients of ages ≥65 years hospitalized in the general medical departments were used. Single- and multiple-component cosinor (time series) analyses were used to explore 24-hour, weekly, and annual patterns of falls. RESULTS: A total of 763 falls were experienced by 709 different elderly hospitalized patients. Falls typically took place in the patient's hospital room (72%) and bathroom (23%). Major causes were patient instability (32%) and accident (13%), and most occurred when not wearing footwear (45%) or wearing inappropriate sling-back open-toe shoes (39%). Falls happened while standing (39%), while seated (21%), and while getting into, out of, or laying in bed (32%)-either with the bed rails raised or lowered. Fall outcome usually involved no injury (58%) or slight injury (35%), but some (7%) were disabling. Fall occurrence was higher during the night (46%) compared to either the morning (30%) or afternoon (24%) shift. Patterns across 24 hours were characterized by a single major and one or more minor peaks that seemed to be associated with a variety of scheduled patient, hospital, and nursing activities. Multiple-component cosinor analysis identified significant (p < .05) prominent day-night patterns according to fall location, patient position, cause, injury severity, and type of footwear. Falls were more frequent, but not significantly so, on Fridays, Sundays, and Mondays compared with Tuesdays, and were more frequent in winter and spring (p = .003). DISCUSSION: Documentation by cause and circumstance of these moderate- to high-amplitude temporal patterns in hospital falls of elderly patients advances the knowledge of fall epidemiology by identifying the times of day, week, and year and nursing shifts of elevated risk that is of critical importance to improving hospital patient safety programs.