Agabiti Nera, Acampora Anna, Angelici Laura, Di Blasio Norina, Ciccone Giovannino, Pagano Eva, Grilli Roberto, Di Martino Mirko, Marinacci Chiara, Valent Francesca, Davoli Marina
Dipartimento di epidemiologia del servizio sanitario regionale del Lazio, Azienda sanitaria locale Roma 1, Roma.
Dipartimento di epidemiologia del servizio sanitario regionale del Lazio, Azienda sanitaria locale Roma 1, Roma;
Epidemiol Prev. 2020 Sep-Dec;44(5-6 Suppl 2):88-94. doi: 10.19191/EP20.5-6.S2.106.
We are presenting here the findings of the reaction to the COVID-19 epidemic during the period March to June 2020 of those centres participating in the research EASY-NET which is on-going in Italy, funded by the Ministry of Health and co-founded by the Regional Health Authorities. The objective of EASY-NET is to evaluate the effectiveness of the audit and feedback (A&F) strategies in different clinical and organizational settings in seven regions. As a negative consequence of the COVID-19 epidemic, the activities of the project have suddenly slowed down; nevertheless, the COVID-19 epidemic represented an opportunity to apply the A&F methodology and support the healthcare within the regional authorities in order to manage and monitor the impact of this new disease. The reaction to the crisis on behalf of EASY-NET was inconsistent across the participating regions for various reasons. Factors which influenced the reaction levels in relation to the rapidity and efficiency of the implementation of the A&F strategies were as follows: the varying epidemiological impact of the COVID-19 epidemic in the various territories, the different clinical and organizational context and availability of expert research teams together with A&F procedures which had already been tested before the start of the epidemic.
在此,我们展示了参与“EASY - NET”研究的各中心在2020年3月至6月期间对新冠疫情的反应情况。该研究在意大利持续进行,由卫生部资助,各地区卫生当局共同发起。“EASY - NET”的目标是评估七个地区不同临床和组织环境下审核与反馈(A&F)策略的有效性。作为新冠疫情的一个负面结果,该项目的活动突然放缓;然而,新冠疫情也为应用A&F方法和支持地区当局的医疗保健工作提供了契机,以便管理和监测这种新疾病的影响。由于各种原因,代表“EASY - NET”对危机的反应在各参与地区并不一致。影响A&F策略实施速度和效率的反应水平的因素如下:新冠疫情在不同地区的流行病学影响不同、临床和组织背景各异、专家研究团队的可用性以及疫情开始前就已经过测试的A&F程序。