Evidence map›Paper›PMID 30467831›Full record

ArticleHealth services research2019

Geographic context of black-white disparities in Medicare CAHPS patient experience measures.

Anny T Fenton, Q Burkhart, Robert Weech-Maldonado, Amelia M Haviland, Jacob W Dembosky, Regina Shih, Shondelle M Wilson-Frederick, Sarah Gaillot, Marc N Elliott

Abstract read
In one paragraph

Article in Health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

9 authors.

Anny T FentonHarvard University, Cambridge, Massachusetts.
Q BurkhartRAND Corporation, Santa Monica, California.
Robert Weech-MaldonadoUniversity of Alabama at Birmingham, Birmingham, Alabama.
Amelia M HavilandCarnegie Mellon University, Pittsburgh, Pennsylvania.
Jacob W DemboskyRAND Corporation, Pittsburgh, Pennsylvania.
Regina ShihRAND Corporation, Arlington, Virginia.
Shondelle M Wilson-FrederickCenters for Medicare & Medicaid Services, Baltimore, Maryland.
Sarah GaillotCenters for Medicare & Medicaid Services, Baltimore, Maryland.
Marc N ElliottRAND Corporation, Santa Monica, California.ORCID 0000-0002-7147-5535

Funding

Centers for Medicare & Medicaid Services HHSM-500-2016-00097G
6 · The paper itself

Abstract

objectiveTo examine whether black-white patient experience disparities vary by geography and within-county contextual factors. DATA SOURCES: 321 300 Medicare beneficiaries responding to the 2015-2016 Medicare Consumer Assessment of Health care Providers and Systems (MCAHPS) Surveys; 2010 Census data for several within-county contextual factors. STUDY

designMixed-effects regression models predicted three MCAHPS patient experience measures for black and white beneficiaries from geographic random effects, contextual fixed effects, and beneficiary-level case-mix adjustors. PRINCIPAL

findingsBlack-white disparities in patient experiences were smaller in counties with higher average patient experiences. Black-white disparities in patient experiences were not associated with county-level poverty or racial segregation. However, county racial segregation and some measures of poverty were significantly associated with all beneficiaries' level of health care access. Getting Needed Care scores were higher with greater racial segregation, while Getting Care Quickly scores were lower with higher poverty and racial segregation.

conclusionsEfforts to reduce black-white disparities in patient experiences should focus on areas with low average patient experiences. Attempts to reduce disparities in timely access to health care should target primarily black, low-income, and racially and economically segregated areas. Positive associations of racial segregation with accessing needed care were unexpected.

Indexed as

Health Services AccessibilityMedicareAgedBlack or African AmericanEthnicityFemaleHealthcare DisparitiesHealth Care SurveysHumansMalePoverty AreasQuality of Health CareRacial GroupsUnited StatesWhite Peoplehealth/socioeconomic causes of healthMedicarequality of care/patient safety (measurement)racial/ethnic differences in health and health care

Identifiers

PMID30467831
PMCPMC6341209

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.