Evidence map›Paper›PMID 38951827›Full record

ArticleInternational journal for equity in health2024

Using community-based participatory research methods to build the foundation for an equitable integrated health data system within a Canadian urban context.

Dianne Fierheller, Casey Chu, Chelsea D'Silva, Arvind Krishendeholl, Abdul Arham, Angela Carter, Keddone Dias, Isaac Francis, Marcia Glasgow, Gurpreet Malhotra and 2 more

Abstract read
In one paragraph

Article in International journal for equity in health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Dianne FierhellerThe Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada. dianne.fierheller@thp.ca.
Casey ChuThe Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.ORCID 0000-0001-8942-3939
Chelsea D'SilvaThe Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.
Arvind KrishendehollThe Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.
Abdul ArhamUMass Chan-Baystate Medical Centre, Springfield, MA, USA.
Angela CarterRoots Community Services Inc, Brampton, ON, Canada.
Keddone DiasLAMP Community Health Centre, Etobicoke, ON, Canada.
Isaac FrancisUniversity of Toronto, Mississauga, ON, Canada.
Marcia GlasgowWilliam Osler Health System, Brampton, ON, Canada.
Gurpreet MalhotraIndus Community Services, Mississauga, ON, Canada.
Ian ZenleaThe Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.
Laura C RosellaThe Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Community-Based Participatory ResearchCOVID-19Social Determinants of HealthCanadaHealth EquityHealth Status DisparitiesHumansPandemicsSARS-CoV-2Urban PopulationCommunity-based Participatory ResearchDataData JusticeEquity-Deserving communitiesHealth EquityRacialized populations or communities

Identifiers

PMID38951827
PMCPMC11218066

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.