Open Access
Open access
volume 13 issue 1 pages e067689

Examining the immediate and ongoing impact of the COVID-19 pandemic on population-based estimates of dementia: a population-based time series analysis in Ontario, Canada

Aaron Jones 1, 2, 3
Susan E. Bronskill 3, 4, 5
Laura C. Maclagan 3
Liisa Jaakkimainen 3, 4, 5, 6
David Kirkwood 3
Alexandra Mayhew 1, 2
Andrew Costa 1, 2, 3
Lauren Griffith 1, 2
1
 
Department of Health Research Methods, Evidence, and Impact
3
 
ICES
4
 
Institute of Health Policy, Management & Evaluation
5
 
University Of Toronto
6
 
Department of Family and Community Medicine
Publication typeJournal Article
Publication date2023-01-13
scimago Q1
wos Q2
SJR1.016
CiteScore4.5
Impact factor2.3
ISSN20446055
General Medicine
Abstract
Objectives

Population-based chronic disease surveillance systems were likely disrupted by the COVID-19 pandemic. The objective of this study was to examine the immediate and ongoing impact of the COVID-19 pandemic on the claims-based incidence of dementia.

Methods

We conducted a population-based time series analysis from January 2015 to December 2021 in Ontario, Canada. We calculated the monthly claims-based incidence of dementia using a validated case ascertainment algorithm drawing from routinely collected health administrative data. We used autoregressive linear models to compare the claims-based incidence of dementia during the COVID-19 period (2020–2021) to the expected incidence had the pandemic not occurred, controlling for seasonality and secular trends. We examined incidence by source of ascertainment and across strata of sex, age, community size and number of health conditions.

Results

The monthly claims-based incidence of dementia dropped from a 2019 average of 11.9 per 10 000 to 8.5 per 10 000 in April 2020 (32.6% lower than expected). The incidence returned to expected levels by late 2020. Across the COVID-19 period there were a cumulative 2990 (95% CI 2109 to 3704) fewer cases of dementia observed than expected, equivalent to 1.05 months of new cases. Despite the overall recovery, ascertainment rates continued to be lower than expected among individuals aged 65–74 years and in large urban areas. Ascertainment rates were higher than expected in hospital and among individuals with 11 or more health conditions.

Conclusions

The claims-based incidence of dementia recovered to expected levels by late 2020, suggesting minimal long-term changes to population-based dementia surveillance. Continued monitoring of claims-based incidence is necessary to determine whether the lower than expected incidence among individuals aged 65–74 and in large urban areas, and higher than expected incidence among individuals with 11 or more health conditions, is transitory.

Found 
Found 

Top-30

Journals

1
Alzheimer's Research and Therapy
1 publication, 25%
International Orthopaedics
1 publication, 25%
The Lancet Public Health
1 publication, 25%
BMJ Open
1 publication, 25%
1

Publishers

1
2
Springer Nature
2 publications, 50%
Elsevier
1 publication, 25%
BMJ
1 publication, 25%
1
2
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
4
Share
Cite this
GOST |
Cite this
GOST Copy
Jones A. et al. Examining the immediate and ongoing impact of the COVID-19 pandemic on population-based estimates of dementia: a population-based time series analysis in Ontario, Canada // BMJ Open. 2023. Vol. 13. No. 1. p. e067689.
GOST all authors (up to 50) Copy
Jones A., Bronskill S. E., Maclagan L. C., Jaakkimainen L., Kirkwood D., Mayhew A., Costa A., Griffith L. Examining the immediate and ongoing impact of the COVID-19 pandemic on population-based estimates of dementia: a population-based time series analysis in Ontario, Canada // BMJ Open. 2023. Vol. 13. No. 1. p. e067689.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1136/bmjopen-2022-067689
UR - https://doi.org/10.1136/bmjopen-2022-067689
TI - Examining the immediate and ongoing impact of the COVID-19 pandemic on population-based estimates of dementia: a population-based time series analysis in Ontario, Canada
T2 - BMJ Open
AU - Jones, Aaron
AU - Bronskill, Susan E.
AU - Maclagan, Laura C.
AU - Jaakkimainen, Liisa
AU - Kirkwood, David
AU - Mayhew, Alexandra
AU - Costa, Andrew
AU - Griffith, Lauren
PY - 2023
DA - 2023/01/13
PB - BMJ
SP - e067689
IS - 1
VL - 13
PMID - 36639204
SN - 2044-6055
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Jones,
author = {Aaron Jones and Susan E. Bronskill and Laura C. Maclagan and Liisa Jaakkimainen and David Kirkwood and Alexandra Mayhew and Andrew Costa and Lauren Griffith},
title = {Examining the immediate and ongoing impact of the COVID-19 pandemic on population-based estimates of dementia: a population-based time series analysis in Ontario, Canada},
journal = {BMJ Open},
year = {2023},
volume = {13},
publisher = {BMJ},
month = {jan},
url = {https://doi.org/10.1136/bmjopen-2022-067689},
number = {1},
pages = {e067689},
doi = {10.1136/bmjopen-2022-067689}
}
MLA
Cite this
MLA Copy
Jones, Aaron, et al. “Examining the immediate and ongoing impact of the COVID-19 pandemic on population-based estimates of dementia: a population-based time series analysis in Ontario, Canada.” BMJ Open, vol. 13, no. 1, Jan. 2023, p. e067689. https://doi.org/10.1136/bmjopen-2022-067689.