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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 lacks s...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Swansea University
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8530189/ https://www.ncbi.nlm.nih.gov/pubmed/34734125 http://dx.doi.org/10.23889/ijpds.v6i1.1672 |
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author | Ye, Ming Vena, Jennifer E. Johnson, Jeffrey A. Shen-Tu, Grace Eurich, Dean T. |
author_facet | Ye, Ming Vena, Jennifer E. Johnson, Jeffrey A. Shen-Tu, Grace Eurich, Dean T. |
author_sort | Ye, Ming |
collection | PubMed |
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 < 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. |
format | Online Article Text |
id | pubmed-8530189 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Swansea University |
record_format | MEDLINE/PubMed |
spelling | pubmed-85301892021-11-02 Chronic disease surveillance in Alberta’s tomorrow project using administrative health data Ye, Ming Vena, Jennifer E. Johnson, Jeffrey A. Shen-Tu, Grace Eurich, Dean T. Int J Popul Data Sci Population Data Science 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 < 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. Swansea University 2021-10-21 /pmc/articles/PMC8530189/ /pubmed/34734125 http://dx.doi.org/10.23889/ijpds.v6i1.1672 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
spellingShingle | Population Data Science Ye, Ming Vena, Jennifer E. Johnson, Jeffrey A. Shen-Tu, Grace Eurich, Dean T. Chronic disease surveillance in Alberta’s tomorrow project using administrative health data |
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 |
topic | Population Data Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8530189/ https://www.ncbi.nlm.nih.gov/pubmed/34734125 http://dx.doi.org/10.23889/ijpds.v6i1.1672 |
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