Department of Health Science, University of Florence, Florence, Italy.
School of Specialization in Hygiene and Preventive Medicine, University of Florence, Florence, Italy.
Int J Public Health. 2023 Oct 6;68:1606338. doi: 10.3389/ijph.2023.1606338. eCollection 2023.
Worldwide, countries adopted different strategies in primary care (PC) to cope with the COVID-19 pandemic. This study aims to describe and evaluate the functions and activity load of a specific PC organizational model called "Special Continuity Care Units" (SCCU) in Florence, Italy, and to investigate the characteristics of the COVID-19 patients assisted by the service. The retrospective cross-sectional design used daily updated reports by SCCU team members to evaluate the activity load. The retrospective cohort study analyzed data of the demographics, clinical characteristics, and process outcomes of patients assisted during the second pandemic wave. The analysis shows how the service activity load changed along with the epidemiological trend. Regarding people assisted by the SCCU, the median follow-up duration of symptoms was 6 days; male gender and being symptomatic were predictors of hospitalization. Some key characteristics can be described as indispensable in PC services facing health emergencies: model flexibility, the availability of resources, networking among services to enhance coordination and resource optimization, and close collaboration with general practitioners.
在全球范围内,各国在初级保健(PC)方面采取了不同的策略来应对 COVID-19 大流行。本研究旨在描述和评估意大利佛罗伦萨一种名为“特殊连续性护理单位”(SCCU)的特定 PC 组织模型的功能和活动量,并调查由该服务机构协助的 COVID-19 患者的特征。该回顾性横断面设计使用 SCCU 团队成员的每日更新报告来评估活动量。回顾性队列研究分析了第二波大流行期间协助的患者的人口统计学、临床特征和流程结果数据。分析表明,随着流行病学趋势的变化,服务活动量是如何变化的。关于由 SCCU 协助的人员,症状的中位随访时间为 6 天;男性和有症状是住院的预测因素。一些关键特征可以被描述为在面临卫生紧急情况的 PC 服务中不可或缺的:模型灵活性、资源可用性、服务之间的联网以增强协调和资源优化以及与全科医生的密切合作。