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1.
Assist Inferm Ric ; 41(4): 176-181, 2022.
Article in Italian | MEDLINE | ID: mdl-37283170

ABSTRACT

. 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.


Subject(s)
COVID-19 , Remote Consultation , Humans , Pandemics , Continuity of Patient Care , Italy
2.
Front Cell Infect Microbiol ; 11: 639579, 2021.
Article in English | MEDLINE | ID: mdl-33796484

ABSTRACT

A multidisciplinary group, mainly from Bergamo region - the epicenter of the COVID-19 pandemic crisis in Italy on march 2020- has developed concept of creating intermediate care facilities and proposes a three-tier model of community-based care, with the goal of reducing hospital admissions, contagion and mortality related to hospital overloading and optimizing human resources.


Subject(s)
COVID-19/epidemiology , COVID-19/therapy , Pandemics , COVID-19/prevention & control , Home Care Services , Humans , Italy/epidemiology , Patient Care/classification , Patient Care/methods , SARS-CoV-2 , Severity of Illness Index
3.
AIMS Public Health ; 5(3): 217-224, 2018.
Article in English | MEDLINE | ID: mdl-30280113

ABSTRACT

Background: Hospital emergency departments (ED) can contribute to improve health outcomes and reduce costs of health care system. This study evaluated ED admissions during a twelve months period, analyzing characteristics of patients who underwent to emergency care in order to understand factors involved in ED overcrowding and promote adequate management. Methods: This retrospective study analyzed a twelve months window, with in-depth focus on December/January when almost all EDs reported overcrowding. All ED admissions were recorded in electronic schedules including: demographic characteristics, time/date of the access, incoming triage code, diagnosis, performed procedures, discharge, time/date of discharge. A backward multivariable logistic regression model was used to estimate relationships between investigated variables and ED pattern mortality. Results: A total of 416,299 ED admissions were analyzed. During the overcrowded period there was an increase in patients admissions (+32 patients per day, p = 0.0079) with a statistically significant rise of critical patients (+1.7% yellow codes and +0.7% red codes, p < 0.001) and older subjects (+1.4% patients aged 75 or more years, p < 0.001). Moreover, there were statistically significant increases in waiting times and in length of visits, a higher percentage of patients who were hospitalized (13.3% vs. 12.2%, p < 0.001), left ED (4.46% vs. 4.15%, p < 0.001) and died (0.27% vs. 0.17%, p < 0.0001). This latter result maintained a marginal statistical significance (OR = 1.16, 95% CI = 0.98-1.38, p = 0.075) after adjustment for confounding. Conclusion: Our study highlights that ED crowding can determine measurable worsening in ED services and patient outcomes as mortality, waiting times, lengths of stay, percentage of abandonment without being seen and, probably, costs. Thus, address ED crowding has to be considered an important public health priority requiring policymakers involvement.

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