Chronic Disease Surveillance in Alberta’s Tomorrow Project using Administrative Health Data
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 lac...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Swansea University
2021-10-01
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| Series: | International Journal of Population Data Science |
| Online Access: | https://ijpds.org/article/view/1672 |
| _version_ | 1827616900179296256 |
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| author | Ming Ye Jennifer Vena Jeffrey Johnson Grace Shen-Tu Dean Eurich |
| author_facet | Ming Ye Jennifer Vena Jeffrey Johnson Grace Shen-Tu Dean Eurich |
| author_sort | Ming Ye |
| collection | DOAJ |
| description | 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.
Objectives
To characterize the occurrence rate and trend of chronic diseases in the ATP cohort by linking with administrative healthcare data.
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.
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 <0.001 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.
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. |
| first_indexed | 2024-03-09T09:34:24Z |
| format | Article |
| id | doaj.art-f8fba3d0e17541d89a7f9bf089622b93 |
| institution | Directory Open Access Journal |
| issn | 2399-4908 |
| language | English |
| last_indexed | 2024-03-09T09:34:24Z |
| publishDate | 2021-10-01 |
| publisher | Swansea University |
| record_format | Article |
| series | International Journal of Population Data Science |
| spelling | doaj.art-f8fba3d0e17541d89a7f9bf089622b932023-12-02T02:41:53ZengSwansea UniversityInternational Journal of Population Data Science2399-49082021-10-016110.23889/ijpds.v6i1.1672Chronic Disease Surveillance in Alberta’s Tomorrow Project using Administrative Health DataMing Ye0Jennifer Vena1Jeffrey Johnson2Grace Shen-Tu3Dean Eurich4School of Public Health, University of Alberta, Edmonton, Alberta, Canada, T6G 2E1Alberta's Tomorrow Project, Cancer Care Alberta, Alberta Health Services, Alberta, Canada, T2T 5C7School of Public Health, University of Alberta, Edmonton, Alberta, Canada, T6G 2E1Alberta's Tomorrow Project, Cancer Care Alberta, Alberta Health Services, Alberta, Canada, T2T 5C7School of Public Health, University of Alberta, Edmonton, Alberta, Canada, T6G 2E1Introduction 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. Objectives To characterize the occurrence rate and trend of chronic diseases in the ATP cohort by linking with administrative healthcare data. 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. 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 <0.001 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. 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.https://ijpds.org/article/view/1672 |
| spellingShingle | Ming Ye Jennifer Vena Jeffrey Johnson Grace Shen-Tu Dean Eurich Chronic Disease Surveillance in Alberta’s Tomorrow Project using Administrative Health Data International Journal of Population Data Science |
| title | Chronic Disease Surveillance in Alberta’s Tomorrow Project using Administrative Health Data |
| title_full | Chronic Disease Surveillance in Alberta’s Tomorrow Project using Administrative Health Data |
| title_fullStr | Chronic Disease Surveillance in Alberta’s Tomorrow Project using Administrative Health Data |
| title_full_unstemmed | Chronic Disease Surveillance in Alberta’s Tomorrow Project using Administrative Health Data |
| title_short | Chronic Disease Surveillance in Alberta’s Tomorrow Project using Administrative Health Data |
| title_sort | chronic disease surveillance in alberta s tomorrow project using administrative health data |
| url | https://ijpds.org/article/view/1672 |
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