Evidence map›Paper›PMID 39177704›Full record

ArticleResearch in health services & regions2024

Integrating equity indicators for hospital reporting metrics.

Aliya Allen-Valley, Shalu Bains, Karen Rai, Nirmal Summan, May Eleid, Emmalin Buajitti, Laura C Rosella

Abstract read
In one paragraph

Article in Research in health services & regions, 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. Review
  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

7 authors.

Aliya Allen-ValleyInstitute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.ORCID http://orcid.org/0000-0002-6062-6182
Shalu BainsTrillium Health Partners, Mississauga, ON, Canada.
Karen RaiTrillium Health Partners, Mississauga, ON, Canada.
Nirmal SummanTrillium Health Partners, Mississauga, ON, Canada.
May EleidTrillium Health Partners, Mississauga, ON, Canada.
Emmalin BuajittiDalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-3194-7331
Laura C RosellaInstitute for Better Health, Trillium Health Partners, Mississauga, ON, Canada. laura.rosella@utoronto.ca.ORCID http://orcid.org/0000-0003-4867-869X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disparities in healthcare delivery and design are deeply-rooted within healthcare systems globally. Many researchers have developed methods to measure inequity; however, there currently exists no accepted measurement approach implemented consistently across health systems. We applied the model-based Relative Index of Inequality (RII) as a measure of inequity at one of Canada's largest health systems, Trillium Health Partners, across two service types: planned and outpatient. Our RII estimates suggest that the lowest-SES individuals received planned and outpatient services at rates 2.4 times and 2.5 times lower than the highest-SES individuals, respectively. Across both service types, the largest disparity was for breast cancer screening, where patients from the lowest-SES neighbourhoods were 5.4 times less likely to use this service at THP. These findings further underscore the importance of consistently measuring and monitoring inequities to develop effective strategies to address the health needs of patients from lower SES neighbourhoods. The approach used within this study should be considered for widespread integration into health system reporting metrics.

Indexed as

Health equityHealth systemInequity measurementRII

Identifiers

PMID39177704
PMCPMC11281735

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.