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Front Public Health ; 8: 583583, 2020.
Article in English | MEDLINE | ID: covidwho-983744

ABSTRACT

The SARS-CoV-2 (COVID-19) pandemic led to an emergency scenario within all aspects of health care, determining reduction in resources for the treatment of other diseases. A literature review was conducted to identify published evidence, from 1 March to 1 June 2020, regarding the impact of COVID-19 on the care provided to patients affected by other diseases. The research is limited to the Italian NHS. The aim is to provide a snapshot of the COVID-19 impact on the NHS and collect useful elements to improve Italian response models. Data available for oncology and cardiology are reported. National surveys, retrospective analyses, and single-hospital evidence are available. We summarized evidence, keeping in mind the entire clinical pathway, from clinical need to access to care to outcomes. Since the beginning, the COVID-19 pandemic was associated with a reduced access to inpatient (-48% for IMA) and outpatient services, with a lower volume of elective surgical procedures (in oncology, from 3.8 to 2.6 median number of procedures/week). Telehealth may plays a key role in this, particularly in oncology. While, for cardiology, evidence on health outcome is already available, in terms of increased fatality rates (for STEMI: 13.7 vs. 4.1%). To better understand the impact of COVID-19 on the health of the population, a broader perspective should be taken. Reasons for reduced access to care must be investigated. Patients fears, misleading communication campaigns, re-arranged clinical pathways could had played a role. In addition, impact on other the status of other patients should be mitigated.


Subject(s)
Ambulatory Care/statistics & numerical data , COVID-19/therapy , Cardiology Service, Hospital/statistics & numerical data , Delivery of Health Care/statistics & numerical data , Emergency Service, Hospital/statistics & numerical data , Oncology Service, Hospital/statistics & numerical data , Telemedicine/statistics & numerical data , COVID-19/epidemiology , Humans , Italy/epidemiology , Retrospective Studies , SARS-CoV-2
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