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Using community-based participatory research methods to build the foundation for an equitable integrated health data system within a Canadian urban context.
Fierheller, Dianne; Chu, Casey; D'Silva, Chelsea; Krishendeholl, Arvind; Arham, Abdul; Carter, Angela; Dias, Keddone; Francis, Isaac; Glasgow, Marcia; Malhotra, Gurpreet; Zenlea, Ian; Rosella, Laura C.
  • Fierheller D; The Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada. dianne.fierheller@thp.ca.
  • Chu C; The Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.
  • D'Silva C; The Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.
  • Krishendeholl A; The Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.
  • Arham A; University of Toronto, Toronto, ON, Canada.
  • Carter A; UMass Chan-Baystate Medical Centre, Springfield, MA, USA.
  • Dias K; Roots Community Services Inc, Brampton, ON, Canada.
  • Francis I; LAMP Community Health Centre, Etobicoke, ON, Canada.
  • Glasgow M; University of Toronto, Mississauga, ON, Canada.
  • Malhotra G; William Osler Health System, Brampton, ON, Canada.
  • Zenlea I; Indus Community Services, Mississauga, ON, Canada.
  • Rosella LC; The Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.
Int J Equity Health ; 23(1): 131, 2024 Jul 01.
Article en En | MEDLINE | ID: mdl-38951827
ABSTRACT
Health inequalities amplified by the COVID-19 pandemic have disproportionately affected racialized and equity-deserving communities across Canada. In the Municipality of Peel, existing data, while limited, illustrates that individuals from racialized and equity-deserving communities continue to suffer, receive delayed care, and die prematurely. In response to these troubling statistics, grassroots community advocacy has called on health systems leaders in Peel to work with community and non-profit organizations to address the critical data and infrastructure gaps that hinder addressing the social determinants of health in the region. To support these advocacy efforts, we used a community-based participatory research approach to understand how we might build a data collection ecosystem across sectors, alongside community residents and service providers, to accurately capture the data about the social determinants of health. This approach involved developing a community engagement council, defining the problem with the community, mapping what data is actively collected and what is excluded, and understanding experiences of sociodemographic data collection from community members and service providers. Guided by community voices, our study focused on sociodemographic data collection in the primary care context and identified which service providers use and collect these data, how data are used in their work, the facilitators and barriers to data use and collection. Additionally, we gained insight into how sociodemographic data collection could be respectful, safe, and properly governed from the perspectives of community members. From this study, we identify a set of eight recommendations for sociodemographic data collection and highlight limitations. This foundational community-based work will inform future research in establishing data governance in partnership with diverse and equity-deserving communities.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Investigación Participativa Basada en la Comunidad / Determinantes Sociales de la Salud / COVID-19 Límite: Humans País como asunto: America do norte Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Investigación Participativa Basada en la Comunidad / Determinantes Sociales de la Salud / COVID-19 Límite: Humans País como asunto: America do norte Idioma: En Año: 2024 Tipo del documento: Article