ECIEN-2020 study: the effect of COVID-19 on admissions for non-COVID-19 diseases

World J Pediatr. 2021 Feb;17(1):85-91. doi: 10.1007/s12519-020-00406-9. Epub 2021 Feb 9.

Abstract

Background: The pandemic caused by severe acute respiratory coronavirus 2 (SARS-CoV-2) has had great effects on health systems worldwide, not only in relation to coronavirus disease 2019 (COVID-19) cases but also affecting patients with other pathologies.

Methods: ECIEN-2020 is an observational study conducted in a tertiary referral hospital in Navarra, Spain. It describes the effects of COVID-19 pandemic and the preventive measures adopted, in pediatric admissions for non-COVID-19 diseases. Admissions during March-June 2020 (first wave of the COVID-19 pandemic in Spain) are described and compared with the same quarter in 2019. A sub-analysis was performed delving into epidemiology. Patient characteristics (age, sex, past medical history), disease characteristics (symptoms, duration of symptoms, previous consultation in Primary Care Health Center), and admission characteristics (place and average stay) were analyzed.

Results: A 33% reduction in the number of pediatric hospital admissions was observed, decreasing from 529 hospitalizations in 2019 to 353 in 2020 (P < 0.001). This highlights a 48% reduction in patients admitted for pulmonary diseases. There were no significant changes in average hospital-stay, percentage of intensive care unit admissions, or in admissions for other reasons. Percentage of patients admitted among those seen in the emergency department rose from 5.1% in 2019 to 10.9% in 2020, whereas the total number of consultations in the emergency department decreased by 68%.

Conclusion: The pandemic and the measures adopted due to SARS-CoV-2 have significantly decreased pediatric admissions for non-COVID-19 diseases, especially due to a reduction in the hospitalization for respiratory diseases.

Keywords: Admission; COVID-19; Hospitalization; SARS-CoV-2.

Publication types

  • Comparative Study
  • Observational Study

MeSH terms

  • COVID-19* / epidemiology
  • Child
  • Child, Preschool
  • Female
  • Hospitalization / statistics & numerical data*
  • Humans
  • Infant
  • Male
  • Spain / epidemiology