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Overview of the Alberta Kidney Disease Network
BACKGROUND: The Alberta Kidney Disease Network is a collaborative nephrology research organization based on a central repository of laboratory and administrative data from the Canadian province of Alberta. DESCRIPTION: The laboratory data within the Alberta Kidney Disease Network can be used to defi...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2770500/ https://www.ncbi.nlm.nih.gov/pubmed/19840369 http://dx.doi.org/10.1186/1471-2369-10-30 |
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author | Hemmelgarn, Brenda R Clement, Fiona Manns, Braden J Klarenbach, Scott James, Matthew T Ravani, Pietro Pannu, Neesh Ahmed, Sofia B MacRae, Jennifer Scott-Douglas, Nairne Jindal, Kailash Quinn, Robert Culleton, Bruce F Wiebe, Natasha Krause, Richard Thorlacius, Laurel Tonelli, Marcello |
author_facet | Hemmelgarn, Brenda R Clement, Fiona Manns, Braden J Klarenbach, Scott James, Matthew T Ravani, Pietro Pannu, Neesh Ahmed, Sofia B MacRae, Jennifer Scott-Douglas, Nairne Jindal, Kailash Quinn, Robert Culleton, Bruce F Wiebe, Natasha Krause, Richard Thorlacius, Laurel Tonelli, Marcello |
author_sort | Hemmelgarn, Brenda R |
collection | PubMed |
description | BACKGROUND: The Alberta Kidney Disease Network is a collaborative nephrology research organization based on a central repository of laboratory and administrative data from the Canadian province of Alberta. DESCRIPTION: The laboratory data within the Alberta Kidney Disease Network can be used to define patient populations, such as individuals with chronic kidney disease (using serum creatinine measurements to estimate kidney function) or anemia (using hemoglobin measurements). The administrative data within the Alberta Kidney Disease Network can also be used to define cohorts with common medical conditions such as hypertension and diabetes. Linkage of data sources permits assessment of socio-demographic information, clinical variables including comorbidity, as well as ascertainment of relevant outcomes such as health service encounters and events, the occurrence of new specified clinical outcomes and mortality. CONCLUSION: The unique ability to combine laboratory and administrative data for a large geographically defined population provides a rich data source not only for research purposes but for policy development and to guide the delivery of health care. This research model based on computerized laboratory data could serve as a prototype for the study of other chronic conditions. |
format | Text |
id | pubmed-2770500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27705002009-10-30 Overview of the Alberta Kidney Disease Network Hemmelgarn, Brenda R Clement, Fiona Manns, Braden J Klarenbach, Scott James, Matthew T Ravani, Pietro Pannu, Neesh Ahmed, Sofia B MacRae, Jennifer Scott-Douglas, Nairne Jindal, Kailash Quinn, Robert Culleton, Bruce F Wiebe, Natasha Krause, Richard Thorlacius, Laurel Tonelli, Marcello BMC Nephrol Database BACKGROUND: The Alberta Kidney Disease Network is a collaborative nephrology research organization based on a central repository of laboratory and administrative data from the Canadian province of Alberta. DESCRIPTION: The laboratory data within the Alberta Kidney Disease Network can be used to define patient populations, such as individuals with chronic kidney disease (using serum creatinine measurements to estimate kidney function) or anemia (using hemoglobin measurements). The administrative data within the Alberta Kidney Disease Network can also be used to define cohorts with common medical conditions such as hypertension and diabetes. Linkage of data sources permits assessment of socio-demographic information, clinical variables including comorbidity, as well as ascertainment of relevant outcomes such as health service encounters and events, the occurrence of new specified clinical outcomes and mortality. CONCLUSION: The unique ability to combine laboratory and administrative data for a large geographically defined population provides a rich data source not only for research purposes but for policy development and to guide the delivery of health care. This research model based on computerized laboratory data could serve as a prototype for the study of other chronic conditions. BioMed Central 2009-10-19 /pmc/articles/PMC2770500/ /pubmed/19840369 http://dx.doi.org/10.1186/1471-2369-10-30 Text en Copyright ©2009 Hemmelgarn et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Hemmelgarn, Brenda R Clement, Fiona Manns, Braden J Klarenbach, Scott James, Matthew T Ravani, Pietro Pannu, Neesh Ahmed, Sofia B MacRae, Jennifer Scott-Douglas, Nairne Jindal, Kailash Quinn, Robert Culleton, Bruce F Wiebe, Natasha Krause, Richard Thorlacius, Laurel Tonelli, Marcello Overview of the Alberta Kidney Disease Network |
title | Overview of the Alberta Kidney Disease Network |
title_full | Overview of the Alberta Kidney Disease Network |
title_fullStr | Overview of the Alberta Kidney Disease Network |
title_full_unstemmed | Overview of the Alberta Kidney Disease Network |
title_short | Overview of the Alberta Kidney Disease Network |
title_sort | overview of the alberta kidney disease network |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2770500/ https://www.ncbi.nlm.nih.gov/pubmed/19840369 http://dx.doi.org/10.1186/1471-2369-10-30 |
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