Investigating use of diagnostic codes for post-COVID- 19 condition in Ontario health administrative data
The number of cases captured was lower than what Health Canada estimates would indicate and it is likely that the code is underrepresenting PCC in Ontario. The substantial increases in healthcare utilization suggests the code is capturing severe PCC cases. The characteristics of the cohort were similar to what has been described in peer-reviewed literature, suggesting that the patients in this cohort have PCC. This code could offer a promising way to study a large diverse population of people with PCC.
Authors
- Lee Fidler (ORCID: https://orcid.org/0000-0003-1469-7323)
- Peter C. Austin (ORCID: https://orcid.org/0000-0003-3337-233X)
- Joseph Munn (ORCID: https://orcid.org/0000-0003-1018-917X)
- Stacey J. Butler (ORCID: https://orcid.org/0000-0002-6259-8859)
- Clare Atzema (ORCID: https://orcid.org/0000-0002-7236-5522)
- Andrea S. Gershon (ORCID: https://orcid.org/0000-0002-0246-594X)
- Xuesong Wang (ORCID: https://orcid.org/0000-0002-4993-7852)
Institutions
- Sunnybrook Health Science Centre (CA)
- University Health Network (CA)
- University of Toronto (CA)
Publication Details
- Journal
- BMC Health Services Research
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1186/s12913-025-12751-4
- Primary Topic
- COVID-19 and healthcare impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Toronto
- Canadian Institutes of Health Research