Evidence map›Paper›PMID 34010425›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Development, implementation, and use of an "equity lens" integrated into an institutional quality scorecard.

Mark Connolly, Mary Kate Selling, Scott Cook, James S Williams, Marshall H Chin, Craig A Umscheid

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
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

6 authors.

Mark ConnollyData and Analytics, University of Chicago Medicine, Chicago, Illinois, USA.
Mary Kate SellingData and Analytics, University of Chicago Medicine, Chicago, Illinois, USA.
Scott CookDiversity, Inclusion, and Equity and Urban Health Initiative, University of Chicago Medicine, Chicago, Illinois, USA.
James S WilliamsDiversity, Inclusion, and Equity and Urban Health Initiative, University of Chicago Medicine, Chicago, Illinois, USA.
Marshall H ChinSection of General Internal Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.ORCID 0000-0003-1924-5641
Craig A UmscheidSection of General Internal Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI MILDA Renne SAUNDERS · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

Few healthcare provider organizations systematically track their healthcare equity, and fewer enable direct interaction with such data by their employees. From May to August 2019, we enhanced the data architecture and reporting functionality of our existing institutional quality scorecard to allow direct comparisons of quality measure performance by gender, age, race, ethnicity, language, zip code, and payor. The Equity Lens was made available to over 4000 staff in September 2019 for 82 institutional quality measures. During the first 11 months, 235 unique individuals used the tool; users were most commonly from the quality and equity departments. Two early use cases evaluated hypertension control and readmissions by race, identifying potential inequities. This is the first description of an interactive equity lens integrated into an institutional quality scorecard made available to healthcare system employees. Early evidence suggests the tool is used and can inform quality improvement initiatives.

Indexed as

Delivery of Health CareQuality ImprovementEthnicityHealth FacilitiesHumansdashboarddisparitiesequityhealthcare systemsqualityscorecard

Identifiers

PMID34010425
PMCPMC8324221

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.