Abstract
AbstractBackgroundThe Emergency Care Data Set provides insight into emergency care activity in England, and combined with COVID-19 surveillance data, can provide new insights into acute COVID-19 infection.MethodsThis study identified individuals <18 years old who tested positive for SARS-CoV-2 between February 2020 and March 2023 and attended emergency care 1-14 days after a positive test. The study’s main objective was to explore ED attendance outcomes by demographic characteristics.ResultsThere were significant differences (p < 0.05) across most of the characteristics of <18s admitted to hospital from emergency departments, and those who were discharged from ED. <18s in IMD decile 1 (14.9%) made up the highest proportion of admissions, with those in less deprived areas having a greater proportion of individuals discharged from ED. February to August 2020 (1.5%) and September 2022 to March 2023 (2.8%) saw the highest proportion of <18 cases attending ED, though the highest number of cases were seen between September 2021 and February 2022.ConclusionsThere is great value in the use of ECDS. It facilitates quick, regular insights into the health outcomes of key demographics, and provides a window into the health-seeking behaviours of individuals. Furthermore, outcomes of emergency care attendance can potentially inform assessments of infection severity across multiple demographics during outbreaks and pandemics.
Publisher
Cold Spring Harbor Laboratory
Reference35 articles.
1. NHS Digital [Internet]. [cited 2023 Oct 2]. Emergency Care Data Set (ECDS). Available from: https://digital.nhs.uk/data-and-information/data-collections-and-data-sets/data-sets/emergency-care-data-set-ecds
2. Hospital Episode Statistics (HES) - NHS Digital [Internet]. [cited 2023 Dec 6]. Available from: https://digital.nhs.uk/data-and-information/data-tools-and-services/data-services/hospital-episode-statistics
3. Data Resource Profile: Hospital Episode Statistics Admitted Patient Care (HES APC)
4. Data consistency in the English Hospital Episodes Statistics database;BMJ Health Care Inform,2022
5. Timeliness and completeness of laboratory-based surveillance of COVID-19 cases in England