These publications are examples of research made possible with data from CanPath and its regional cohorts.


Mental health service use and associated predisposing, enabling and need factors in community living adults and older adults across Canada

Authors: Helen-Maria Vasiliadis, Jessica Spagnolo, Marie-Josée Fleury, Jean-Philippe Gouin, Pasquale Roberge, Mary Bartram, Sébastien Grenier, Grace Shen-Tu, Jennifer E. Vena, JianLi Wang

The authors utilized data from the CanPath COVID-19 health survey (May to December 2020) to conduct multivariate logistic regression analysis to determine the association between mental health service use (MHSU) and predisposing, enabling, and need factors — derived from Andersen’s model of healthcare-seeking behaviour — among five regional cohorts. Among the 45,542 adults in the study population, 6.3% of respondents reported MHSU and need factors were consistently associated with MHSU.

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Harnessing the power of data linkage to enrich the cancer research ecosystem in Canada

Authors: Robin Urquhart, Philip Awadalla, Parveen Bhatti, Trevor Dummer, Simon Gravel, Jennifer Vena, Riaz Alvi, Philippe Broet, Cynthia Kendell, Victoria Kirsh, Guillaume Lettre, Kimberly Skead, Grace Shen-Tu, Ellen Sweeney, Donna Turner

This abstract discusses a project aimed at linking cancer registry and administrative health data to Canada’s largest population health study, the Canadian Partnership for Tomorrow’s Health (CanPath). The project seeks to enrich the cancer research ecosystem in Canada by providing researchers with a comprehensive dataset that includes genetics, environment, lifestyle, and behaviour data. The linked data will be made available through a cloud-based solution called the CanPath Data Safe Haven, which is accessible to researchers through secure access. The project will address concerns related to the accessibility of cancer data in Canada, bring more value to existing data, and support an enhanced understanding of the impacts of cancer on marginalized populations.

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