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Chronic disease surveillance in Alberta's tomorrow project using administrative health data.

Authors :
Ye M
Vena JE
Johnson JA
Shen-Tu G
Eurich DT
Source :
International journal of population data science [Int J Popul Data Sci] 2021 Oct 21; Vol. 6 (1), pp. 1672. Date of Electronic Publication: 2021 Oct 21 (Print Publication: 2021).
Publication Year :
2021

Abstract

Introduction: Alberta's Tomorrow Project (ATP) is the largest population-based prospective cohort study of cancer and chronic diseases in Alberta, Canada. The ATP cohort data were primarily self-reported by participants on lifestyle behaviors and disease risk factors at the enrollment, which lacks sufficient and accurate data on chronic disease diagnosis for longer-term follow-up.<br />Objectives: To characterize the occurrence rate and trend of chronic diseases in the ATP cohort by linking with administrative healthcare data.<br />Methods: A set of validated algorithms using ICD codes were applied to Alberta Health (AH) administrative data (October 2000-March 2018) linked to the ATP cohort to determine the prevalence and incidence of common chronic diseases.<br />Results: There were 52,770 ATP participants (51.2±9.4 years old at enrollment and 63.7% females) linked to the AH data with average follow-up of 10.1±4.4 years. In the ATP cohort, hypertension (18.5%), depression (18.1%), chronic pain (12.8%), osteoarthritis (10.1%) and cardiovascular diseases (8.7%) were the most prevalent chronic conditions. The incidence rates varied across diseases, with the highest rates for hypertension (22.1 per 1000 person-year), osteoarthritis (16.2 per 1000 person-year) and ischemic heart diseases (13.0 per 1000 person-year). All chronic conditions had increased prevalence over time ( p < for trend tests), while incidence rates were relatively stable. The proportion of participants with two or more of these conditions (multi-morbidity) increased from 3.9% in 2001 to 40.3% in 2017.<br />Conclusions: This study shows an increasing trend of chronic diseases in the ATP cohort, particularly related to cardiovascular diseases and multi-morbidity. Using administrative health data to monitor chronic diseases for large population-based prospective cohort studies is feasible in Alberta, and our approach could be further applied in a broader research area, including health services research, to enhance research capacity of these population-based studies in Canada.<br />Competing Interests: Statement on conflicts of interest: The authors declared no conflict of interest.

Details

Language :
English
ISSN :
2399-4908
Volume :
6
Issue :
1
Database :
MEDLINE
Journal :
International journal of population data science
Publication Type :
Academic Journal
Accession number :
34734125
Full Text :
https://doi.org/10.23889/ijpds.v6i1.1672