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 la...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Ming Ye, Jennifer Vena, Jeffrey Johnson, Grace Shen-Tu, Dean Eurich
Formato:	article
Lenguaje:	EN
Publicado:	Swansea University 2021
Materias:	Demography. Population. Vital events HB848-3697
Acceso en línea:	https://doaj.org/article/f8fba3d0e17541d89a7f9bf089622b93
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f8fba3d0e17541d89a7f9bf089622b93
record_format	dspace
spelling	oai:doaj.org-article:f8fba3d0e17541d89a7f9bf089622b932021-12-03T15:47:28ZChronic Disease Surveillance in Alberta’s Tomorrow Project using Administrative Health Data10.23889/ijpds.v6i1.16722399-4908https://doaj.org/article/f8fba3d0e17541d89a7f9bf089622b932021-10-01T00:00:00Zhttps://ijpds.org/article/view/1672https://doaj.org/toc/2399-4908 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. Ming YeJennifer VenaJeffrey JohnsonGrace Shen-TuDean EurichSwansea UniversityarticleDemography. Population. Vital eventsHB848-3697ENInternational Journal of Population Data Science, Vol 6, Iss 1 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Demography. Population. Vital events HB848-3697
spellingShingle	Demography. Population. Vital events HB848-3697 Ming Ye Jennifer Vena Jeffrey Johnson Grace Shen-Tu Dean Eurich Chronic Disease Surveillance in Alberta’s Tomorrow Project using Administrative Health Data
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.
format	article
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
title	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_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_sort	chronic disease surveillance in alberta’s tomorrow project using administrative health data
publisher	Swansea University
publishDate	2021
url	https://doaj.org/article/f8fba3d0e17541d89a7f9bf089622b93
work_keys_str_mv	AT mingye chronicdiseasesurveillanceinalbertastomorrowprojectusingadministrativehealthdata AT jennifervena chronicdiseasesurveillanceinalbertastomorrowprojectusingadministrativehealthdata AT jeffreyjohnson chronicdiseasesurveillanceinalbertastomorrowprojectusingadministrativehealthdata AT graceshentu chronicdiseasesurveillanceinalbertastomorrowprojectusingadministrativehealthdata AT deaneurich chronicdiseasesurveillanceinalbertastomorrowprojectusingadministrativehealthdata
_version_	1718373184697270272

Chronic Disease Surveillance in Alberta’s Tomorrow Project using Administrative Health Data

Ejemplares similares