Evidence map›Paper›PMID 39242476›Full record

ReviewCanadian journal of anaesthesia = Journal canadien d'anesthesie2024

An Equity, Diversity, and Inclusion glossary for sociodemographic determinants of health within critical care medicine.

Alya Heirali, Sangeeta Mehta, Yiyan Li, Bram Rochwerg, Christina Maratta, Emmanuel Charbonney, Karen E A Burns, Katie O'Hearn, Kusum Menon, Rob Fowler and 4 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Canadian journal of anaesthesia = Journal canadien d'anesthesie, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Alya HeiraliDepartment of Critical Care Medicine, University of Calgary, Calgary, AB, Canada.
Sangeeta MehtaInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.
Yiyan LiDepartment of Occupational Science & Occupational Therapy, University of Toronto, Toronto, ON, Canada.
Bram RochwergDepartment of Medicine, McMaster University, Hamilton, ON, Canada.
Christina MarattaInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.
Emmanuel CharbonneyCentre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Karen E A BurnsInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.
Katie O'HearnChildren's Hospital of Eastern Ontario (CHEO) Research Institute, Ottawa, ON, Canada.
Kusum MenonDepartment of Pediatrics, Children's Hospital of Eastern Ontario (CHEO), University of Ottawa, Ottawa, ON, Canada.
Rob FowlerInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.
Samiha MohsenDepartment of Occupational Science & Occupational Therapy, University of Toronto, Toronto, ON, Canada.
Srinivas MurthyDepartment of Pediatrics, Faculty of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Kirsten M FiestDepartment of Critical Care Medicine, University of Calgary, Calgary, AB, Canada. kmfiest@ucalgary.ca.ORCID 0000-0002-7299-6594
Canadian Critical Care Trials Group

Funding

Non-US Government Research Support
6 · The paper itself

Abstract

purposeEquity, Diversity, and Inclusion (EDI) initiatives within critical care research are limited by a lack of resources and inconsistent and rapidly changing language. The Canadian Critical Care Trials Group (CCCTG) is committed to modelling EDI for the critical care community through its programming, communications, protocols, and policies. The objective of developing the EDI glossary of sociodemographic determinants of health described here was to provide a resource for critical care professionals to support broader equity initiatives and to promote education and awareness about inclusive language.

methodsThrough literature review, we identified EDI-related sociodemographic determinants of health, defined as sociodemographic factors that are associated with disparities in health care and health outcomes, with a focus on critical care medicine. For each sociodemographic determinant of health, we identified umbrella terms (defined as domains) and subterms/constructs that are related to these domains. We designed the glossary collaboratively with the CCCTG EDI working group, patient and family partnerships committee, and executive committee, which included diverse knowledge users such as researchers, clinicians, and patient and family partners.

resultsWe report on 12 sociodemographic determinants of health domains including age, sex, gender, sexuality, race and ethnicity, income, education, employment status, marital status, language, disability, and migration status. Each domain (e.g., sex) contains relevant subterms such as male, female, intersex. For each domain, we provide examples of disparities in health care and health outcomes with a focus on critical care medicine.

conclusionsThis EDI glossary of sociodemographic determinants of health serves as a nonexhaustive resource that may be referenced by critical care researchers, research coordinators, clinicians, and patient and family partners. The glossary is an essential step to raising awareness about inclusive terminology and to fostering and advancing equity in critical care medicine.

Indexed as

Critical CareCanadaDiversity, Equity, InclusionFemaleHealthcare DisparitiesHumansMaleSocial Determinants of HealthSociodemographic FactorsSocioeconomic FactorsTerminology as Topicdiversityequityhealth equityinclusionsociodemographic determinants of health

Identifiers

PMID39242476

What OpenQuestion holds

Textmetadata
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.