Sociodemographic Variables in Canadian Organ Donation Organizations: A Health Information Survey

Author:

Leeies Murdoch12,Ho Julie34,Wilson Lindsay C.5,Lalani Jehan5,James Lee5,Carta Tricia2,Gruber Jackie6,Shemie Sam D.57,Hrymak Carmen12

Affiliation:

1. Section of Critical Care, Department of Emergency Medicine, University of Manitoba, Winnipeg, MB, Canada.

2. Transplant Manitoba, Gift of Life Organ Donation Organization, Winnipeg, MB, Canada.

3. Department of Internal Medicine and Immunology, University of Manitoba, Winnipeg, MB, Canada.

4. Transplant Manitoba, Adult Kidney Program, Winnipeg, MB, Canada.

5. Canadian Blood Services, Ottawa, ON, Canada.

6. British Columbia Institute of Technology, Vancouver, BC, Canada.

7. Division of Critical Care Medicine, Montreal Children’s Hospital, McGill University Health Centre and Research Institute, McGill University, Montreal, QC, Canada.

Abstract

Background. Health systems must collect equity-relevant sociodemographic variables to measure and mitigate health inequities. The specific variables collected by organ donation organizations (ODOs) across Canada, variable definitions, and processes of the collection are not defined. We undertook a national health information survey of all ODOs in Canada. These results will inform the development of a standard national dataset of equity-relevant sociodemographic variables. Methods. We conducted an electronic, self-administered cross-sectional survey of all ODOs in Canada from November 2021 to January 2022. We targeted key knowledge holders familiar with the data collection processes within each Canadian ODO known to Canadian Blood Services. Categorical item responses are presented as numbers and proportions. Results. We achieved a 100% response rate from 10 Canadian ODOs. Most data were collected by organ donation coordinators. Only 2 of 10 ODOs reported using scripts explaining why sociodemographic data are being collected or incorporated training in cultural sensitivity for any given variable. A lack of cultural sensitivity training was endorsed by 50% of respondents as a barrier to the collection of sociodemographic variables by ODOs, whereas 40% of respondents identified a lack of training in sociodemographic variable collection as a significant barrier. Conclusions. Few programs routinely collect sufficient data to examine health inequities with an intersectional lens. Most data collection occurs midway through the ODO interaction, creating a missed opportunity to better understand differences in social identities of patients who register their intention to donate in advance or who decline the donation. National standardization of equity-relevant data collection definitions and processes of the collection is needed.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Transplantation

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