A Canadian Prospective Study of Linkage of Randomized Clinical Trial to Cancer and Mortality Registry Data.


Journal

Current oncology (Toronto, Ont.)
ISSN: 1718-7729
Titre abrégé: Curr Oncol
Pays: Switzerland
ID NLM: 9502503

Informations de publication

Date de publication:
08 03 2021
Historique:
received: 05 11 2020
revised: 20 02 2021
accepted: 03 03 2021
entrez: 3 4 2021
pubmed: 4 4 2021
medline: 17 4 2021
Statut: epublish

Résumé

In a prospective study, we sought to determine acceptability of linkage of administrative and clinical trial data among Canadian patients and Research Ethics Boards (REBs). The goal is to develop a more harmonized approach to data, with potential to improve clinical trial conduct through enhanced data quality collected at reduced cost and inconvenience for patients. On completion of the original LY.12 randomized clinical trial in lymphoma (NCT00078949), participants were invited to enrol in the Long-term Innovative Follow-up Extension (LIFE) component. Those consenting to do so provided comprehensive identifying information to facilitate linkage with their administrative data. We prospectively designed a global assessment of this innovative approach to clinical trial follow-up including rates of REB approval and patient consent. The pre-specified benchmark for patient acceptability was 80%. Of 16 REBs who reviewed the research protocol, 14 (89%) provided approval; two in Quebec declined due to small patient numbers. Of 140 patients invited to participate, 115 (82%, 95% CI 76 to 88%) from across 9 Canadian provinces provided consent and their full name, date of birth, health insurance number and postal code to facilitate linkage with their administrative data for long-term follow-up. Linkage of clinical trial and administrative data is feasible and acceptable. Further collaborative work including many stakeholders is required to develop an optimized secure approach to research. A more coordinated national approach to health data could facilitate more rapid testing and identification of new effective treatments across multiple jurisdictions and diseases from diabetes to COVID-19.

Identifiants

pubmed: 33800281
pii: curroncol28020111
doi: 10.3390/curroncol28020111
pmc: PMC8025743
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

1153-1160

Subventions

Organisme : Department of Medicine, School of Medicine, Queen's University
ID : x
Organisme : Faculty of Health Sciences, Queen's University
ID : x

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Auteurs

Annette E Hay (AE)

Department of Medicine, Queen's University, Kingston, ON K7L 2V6, Canada.
Canadian Cancer Trials Group, Queen's University, Kingston, ON K7L 3N6, Canada.

Nicole Mittmann (N)

Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, ON M4N 3M5, Canada.

Michael Crump (M)

Princess Margaret Cancer Centre, University of Toronto, Toronto, ON M5G 2C1, Canada.

Matthew C Cheung (MC)

Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, ON M4N 3M5, Canada.

Jessica Sleeth (J)

Canadian Cancer Trials Group, Queen's University, Kingston, ON K7L 3N6, Canada.

Judy Needham (J)

Canadian Cancer Trials Group, Queen's University, Kingston, ON K7L 3N6, Canada.

Mike Broekhoven (M)

Canadian Cancer Trials Group, Queen's University, Kingston, ON K7L 3N6, Canada.

Marina Djurfeldt (M)

Canadian Cancer Trials Group, Queen's University, Kingston, ON K7L 3N6, Canada.

Lois E Shepherd (LE)

Canadian Cancer Trials Group, Queen's University, Kingston, ON K7L 3N6, Canada.

Ralph M Meyer (RM)

Juravinski Cancer Centre/Hamilton Health Sciences, McMaster University, Hamilton, ON L8V 5C2, Canada.

Bingshu E Chen (BE)

Canadian Cancer Trials Group, Queen's University, Kingston, ON K7L 3N6, Canada.

Joseph L Pater (JL)

Canadian Cancer Trials Group, Queen's University, Kingston, ON K7L 3N6, Canada.

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Classifications MeSH