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Assessing Hepatitis C Burden and Treatment Effectiveness through the British Columbia Hepatitis Testers Cohort (BC-HTC): Design and Characteristics of Linked and Unlinked Participants

BACKGROUND: The British Columbia (BC) Hepatitis Testers Cohort (BC-HTC) was established to assess and monitor hepatitis C (HCV) epidemiology, cost of illness and treatment effectiveness in BC, Canada. In this paper, we describe the cohort construction, data linkage process, linkage yields, and compa...

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Autores principales: Janjua, Naveed Zafar, Kuo, Margot, Chong, Mei, Yu, Amanda, Alvarez, Maria, Cook, Darrel, Armour, Rosemary, Aiken, Ciaran, Li, Karen, Mussavi Rizi, Seyed Ali, Woods, Ryan, Godfrey, David, Wong, Jason, Gilbert, Mark, Tyndall, Mark W., Krajden, Mel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4783072/
https://www.ncbi.nlm.nih.gov/pubmed/26954020
http://dx.doi.org/10.1371/journal.pone.0150176
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author Janjua, Naveed Zafar
Kuo, Margot
Chong, Mei
Yu, Amanda
Alvarez, Maria
Cook, Darrel
Armour, Rosemary
Aiken, Ciaran
Li, Karen
Mussavi Rizi, Seyed Ali
Woods, Ryan
Godfrey, David
Wong, Jason
Gilbert, Mark
Tyndall, Mark W.
Krajden, Mel
author_facet Janjua, Naveed Zafar
Kuo, Margot
Chong, Mei
Yu, Amanda
Alvarez, Maria
Cook, Darrel
Armour, Rosemary
Aiken, Ciaran
Li, Karen
Mussavi Rizi, Seyed Ali
Woods, Ryan
Godfrey, David
Wong, Jason
Gilbert, Mark
Tyndall, Mark W.
Krajden, Mel
author_sort Janjua, Naveed Zafar
collection PubMed
description BACKGROUND: The British Columbia (BC) Hepatitis Testers Cohort (BC-HTC) was established to assess and monitor hepatitis C (HCV) epidemiology, cost of illness and treatment effectiveness in BC, Canada. In this paper, we describe the cohort construction, data linkage process, linkage yields, and comparison of the characteristics of linked and unlinked individuals. METHODS: The BC-HTC includes all individuals tested for HCV and/or HIV or reported as a case of HCV, hepatitis B (HBV), HIV or active tuberculosis (TB) in BC linked with the provincial health insurance client roster, medical visits, hospitalizations, drug prescriptions, the cancer registry and mortality data using unique personal health numbers. The cohort includes data since inception (1990/1992) of each database until 2012/2013 with plans for annual updates. We computed linkage rates by year and compared the characteristics of linked and unlinked individuals. RESULTS: Of 2,656,323 unique individuals available in the laboratory and surveillance data, 1,427,917(54%) were included in the final linked cohort, including about 1.15 million tested for HCV and about 1.02 million tested for HIV. The linkage rate was 86% for HCV tests, 89% for HCV cases, 95% for active TB cases, 48% for HIV tests and 36% for HIV cases. Linkage rates increased from 40% for HCV negatives and 70% for HCV positives in 1992 to ~90% after 2005. Linkage rates were lower for males, younger age at testing, and those with unknown residence location. Linkage rates for HCV testers co-infected with HIV, HBV or TB were very high (90–100%). CONCLUSION: Linkage rates increased over time related to improvements in completeness of identifiers in laboratory, surveillance, and registry databases. Linkage rates were higher for HCV than HIV testers, those testing positive, older individuals, and females. Data from the cohort provide essential information to support the development of prevention, care and treatment initiatives for those infected with HCV.
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spelling pubmed-47830722016-03-23 Assessing Hepatitis C Burden and Treatment Effectiveness through the British Columbia Hepatitis Testers Cohort (BC-HTC): Design and Characteristics of Linked and Unlinked Participants Janjua, Naveed Zafar Kuo, Margot Chong, Mei Yu, Amanda Alvarez, Maria Cook, Darrel Armour, Rosemary Aiken, Ciaran Li, Karen Mussavi Rizi, Seyed Ali Woods, Ryan Godfrey, David Wong, Jason Gilbert, Mark Tyndall, Mark W. Krajden, Mel PLoS One Research Article BACKGROUND: The British Columbia (BC) Hepatitis Testers Cohort (BC-HTC) was established to assess and monitor hepatitis C (HCV) epidemiology, cost of illness and treatment effectiveness in BC, Canada. In this paper, we describe the cohort construction, data linkage process, linkage yields, and comparison of the characteristics of linked and unlinked individuals. METHODS: The BC-HTC includes all individuals tested for HCV and/or HIV or reported as a case of HCV, hepatitis B (HBV), HIV or active tuberculosis (TB) in BC linked with the provincial health insurance client roster, medical visits, hospitalizations, drug prescriptions, the cancer registry and mortality data using unique personal health numbers. The cohort includes data since inception (1990/1992) of each database until 2012/2013 with plans for annual updates. We computed linkage rates by year and compared the characteristics of linked and unlinked individuals. RESULTS: Of 2,656,323 unique individuals available in the laboratory and surveillance data, 1,427,917(54%) were included in the final linked cohort, including about 1.15 million tested for HCV and about 1.02 million tested for HIV. The linkage rate was 86% for HCV tests, 89% for HCV cases, 95% for active TB cases, 48% for HIV tests and 36% for HIV cases. Linkage rates increased from 40% for HCV negatives and 70% for HCV positives in 1992 to ~90% after 2005. Linkage rates were lower for males, younger age at testing, and those with unknown residence location. Linkage rates for HCV testers co-infected with HIV, HBV or TB were very high (90–100%). CONCLUSION: Linkage rates increased over time related to improvements in completeness of identifiers in laboratory, surveillance, and registry databases. Linkage rates were higher for HCV than HIV testers, those testing positive, older individuals, and females. Data from the cohort provide essential information to support the development of prevention, care and treatment initiatives for those infected with HCV. Public Library of Science 2016-03-08 /pmc/articles/PMC4783072/ /pubmed/26954020 http://dx.doi.org/10.1371/journal.pone.0150176 Text en © 2016 Janjua et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Janjua, Naveed Zafar
Kuo, Margot
Chong, Mei
Yu, Amanda
Alvarez, Maria
Cook, Darrel
Armour, Rosemary
Aiken, Ciaran
Li, Karen
Mussavi Rizi, Seyed Ali
Woods, Ryan
Godfrey, David
Wong, Jason
Gilbert, Mark
Tyndall, Mark W.
Krajden, Mel
Assessing Hepatitis C Burden and Treatment Effectiveness through the British Columbia Hepatitis Testers Cohort (BC-HTC): Design and Characteristics of Linked and Unlinked Participants
title Assessing Hepatitis C Burden and Treatment Effectiveness through the British Columbia Hepatitis Testers Cohort (BC-HTC): Design and Characteristics of Linked and Unlinked Participants
title_full Assessing Hepatitis C Burden and Treatment Effectiveness through the British Columbia Hepatitis Testers Cohort (BC-HTC): Design and Characteristics of Linked and Unlinked Participants
title_fullStr Assessing Hepatitis C Burden and Treatment Effectiveness through the British Columbia Hepatitis Testers Cohort (BC-HTC): Design and Characteristics of Linked and Unlinked Participants
title_full_unstemmed Assessing Hepatitis C Burden and Treatment Effectiveness through the British Columbia Hepatitis Testers Cohort (BC-HTC): Design and Characteristics of Linked and Unlinked Participants
title_short Assessing Hepatitis C Burden and Treatment Effectiveness through the British Columbia Hepatitis Testers Cohort (BC-HTC): Design and Characteristics of Linked and Unlinked Participants
title_sort assessing hepatitis c burden and treatment effectiveness through the british columbia hepatitis testers cohort (bc-htc): design and characteristics of linked and unlinked participants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4783072/
https://www.ncbi.nlm.nih.gov/pubmed/26954020
http://dx.doi.org/10.1371/journal.pone.0150176
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