Evidence map›Paper›PMID 27256878›Full record

ArticleHealth services research2017

Methods for Measuring Racial Differences in Hospitals Outcomes Attributable to Disparities in Use of High-Quality Hospital Care.

Paul L Hebert, Elizabeth A Howell, Edwin S Wong, Susan E Hernandez, Seppo T Rinne, Christine A Sulc, Emily L Neely, Chuan-Fen Liu

Abstract read
In one paragraph

Article in Health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Alternative Approaches to Characterizing Disparate Care by Race, Ethnicity, and Insurance Between Hospitals.International journal of environmental research and public health · 2025
    Article
  3. Intracoronary Imaging: Blind to Color and Sex but Not Income or Insurance.Journal of the Society for Cardiovascular Angiography & Interventions · 2024
    Article
  4. Article
  5. Article
  6. Article
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  8. Article
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  10. Observational
  11. Review
  12. Article
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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

8 authors.

Paul L HebertVA HSR&D Center of Innovation for Patient Centered and Value Driven Health Care, VA Puget Sound Health Care System, Seattle, WA.
Elizabeth A HowellDepartment of Population Health Science and Policy, Mount Sinai School of Medicine, New York, NY.
Edwin S WongVA HSR&D Center of Innovation for Patient Centered and Value Driven Health Care, VA Puget Sound Health Care System, Seattle, WA.
Susan E HernandezVA HSR&D Center of Innovation for Patient Centered and Value Driven Health Care, VA Puget Sound Health Care System, Seattle, WA.
Seppo T RinneYale Pulmonary and Critical Care Medicine, New Haven, CT.
Christine A SulcVA HSR&D Center of Innovation for Patient Centered and Value Driven Health Care, VA Puget Sound Health Care System, Seattle, WA.
Emily L NeelyVA HSR&D Center of Innovation for Patient Centered and Value Driven Health Care, VA Puget Sound Health Care System, Seattle, WA.
Chuan-Fen LiuVA HSR&D Center of Innovation for Patient Centered and Value Driven Health Care, VA Puget Sound Health Care System, Seattle, WA.

Funding

Pathways to Reduce Infant DeathsR01HD078565 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HOWELL, ELIZABETH A · 2015 to 2020
$2.7M
Hospital Quality and Racial/Ethnic Disparities in Severe Maternal MorbidityR01MD007651 · NIMHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HOWELL, ELIZABETH A · 2014 to 2018
$2.1M
NICHD NIH HHS R01 HD078565NIMHD NIH HHS R01 MD007651
6 · The paper itself

Abstract

objectiveTo compare two approaches to measuring racial/ethnic disparities in the use of high-quality hospitals. DATA SOURCES: Simulated data. STUDY

designThrough simulations, we compared the "minority-serving" approach of assessing differences in risk-adjusted outcomes at minority-serving and non-minority-serving hospitals with a "fixed-effect" approach that estimated the reduction in adverse outcomes if the distribution of minority and white patients across hospitals was the same. We evaluated each method's ability to detect and measure a disparity in outcomes caused by minority patients receiving care at poor-quality hospitals, which we label a "between-hospital" disparity, and to reject it when the disparity in outcomes was caused by factors other than hospital quality. PRINCIPAL

findingsThe minority-serving and fixed-effect approaches correctly identified between-hospital disparities in quality when they existed and rejected them when racial differences in outcomes were caused by other disparities; however, the fixed-effect approach has many advantages. It does not require an ad hoc definition of a minority-serving hospital, and it estimated the magnitude of the disparity accurately, while the minority-serving approach underestimated the disparity by 35-46 percent.

conclusionsResearchers should consider using the fixed-effect approach for measuring disparities in use of high-quality hospital care by vulnerable populations.

Indexed as

Black or African AmericanHealthcare DisparitiesHospitalsHumansModels, StatisticalPatient ReadmissionQuality of Health CareRacial GroupsWhite Peopledisparitieshospital readmissionsRace

Identifiers

PMID27256878
PMCPMC5346505

What OpenQuestion holds

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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.