Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30522
Title: Missing diagnoses during the covid-19 pandemic: A year in review
Authors: Pifarré i Arolas, H
Vidal-Alaball, J
Gil, J
López, F
Nicodemo, C
Saez, M
Keywords: indirect impact;delayed diagnoses;COVID-19;SARS-CoV-2;access to healthcare
Issue Date: 17-May-2021
Publisher: MDPI
Citation: Pifarré i Arolas, H. et al. (2021) 'Missing diagnoses during the covid-19 pandemic: A year in review', International Journal of Environmental Research and Public Health, 18 (10), 5335, pp. 1 - 10. doi: 10.3390/ijerph18105335.
Abstract: The COVID-19 pandemic has had major impacts on population health not only through COVID-positive cases, but also via the disruption of healthcare services, which in turn has impacted the diagnosis and treatment of all other diseases during this time. We study changes in all new registered diagnoses in ICD-10 groups during 2020 with respect to a 2019 baseline. We compare new diagnoses in 2019 and 2020 based on administrative records of the public primary health system in Central Catalonia, Spain, which cover over 400,000 patients and 3 million patient visits. We study the ratio of new diagnoses between 2019 and 2020 and find an average decline of 31.1% in new diagnoses, with substantial drops in April (61.1%), May (55.6%), and November (52%). Neoplasms experience the largest decline (49.7%), with heterogeneity in the magnitudes of the declines across different types of cancer diagnoses. While we find evidence of temporal variation in new diagnoses, reductions in diagnoses early in the year are not recouped by the year end. The observed decline in new diagnoses across all diagnosis groups suggest a large number of untreated and undetected cases across conditions. Our findings provide a year-end summary of the impact of the pandemic on healthcare activities and can help guide health authorities to design evidence-based plans to target under-diagnosed conditions in 2021.
Description: Data Availability Statement: The data was extracted from the computerized medical records of the Information System for Primary Care Services (SISAP in Catalan) of the Catalan Institute of Health, in Barcelona, Spain. These data are not publicly available, and restrictions apply to the availability of the data used for the current study. These data are available upon reasonable request addressed to the Catalan Institute of Health. A de-identified and appropriately redacted random sample of the data and code are available at our github repository: https://github.com/HPiArolas, accessed on 10 December 2020.
URI: https://bura.brunel.ac.uk/handle/2438/30522
DOI: https://doi.org/10.3390/ijerph18105335
ISSN: 1661-7827
Other Identifiers: ORCiD: Héctor Pifarré i Arolas https://orcid.org/0000-0002-6056-3636
ORCiD: Josep Vidal-Alaball https://orcid.org/0000-0002-3527-4242
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5335
Appears in Collections:Brunel Business School Research Papers

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