Evidence map›Paper›PMID 29040342›Full record

ArticlePloS one2017

Area-level poverty, race/ethnicity & dialysis star ratings.

Abhijit V Kshirsagar, Raj N Manickam, Yi Mu, Jennifer E Flythe, Andrew I Chin, Heejung Bang

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Patient Satisfaction Is Associated With Dialysis Facility Quality and Star Ratings.American journal of medical quality : the official journal of the American College of Medical Quality
    Article
  5. Article
  6. Article
  7. 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

6 authors.

Abhijit V KshirsagarUNC Kidney Center, Division of Nephrology and Hypertension, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Raj N ManickamGraduate Group in Epidemiology, University of California, Davis, Davis, California, United States of America.
Yi MuGraduate Group in Epidemiology, University of California, Davis, Davis, California, United States of America.
Jennifer E FlytheUNC Kidney Center, Division of Nephrology and Hypertension, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Andrew I ChinDivision of Nephrology, University of California, Davis School of Medicine, Sacramento, California, United States of America.
Heejung BangGraduate Group in Epidemiology, University of California, Davis, Davis, California, United States of America.ORCID http://orcid.org/0000-0002-5755-9951

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
Investigating strategies to reduce fluid-related complications among hemodialysis patientsK23DK109401 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FLYTHE, JENNIFER E · 2016 to 2020
$992k
NCATS NIH HHS UL1 TR001860NIDDK NIH HHS K23 DK109401
6 · The paper itself

Abstract

The Centers for Medicare and Medicaid Services recently released a five star rating system as part of 'Dialysis Facility Compare' to help patients identify and choose high performing clinics in the US. Eight dialysis-related measures determine ratings. Little is known about the association between surrounding community sociodemographic characteristics and star ratings. Using data from the U.S. Census and over 6000 dialysis clinics across the country, we examined the association between dialysis clinic star ratings and characteristics of the local population: 1) proportion of population below the federal poverty level (FPL); 2) proportion of black individuals; and 3) proportion of Hispanic individuals, by correlation and regression analyses. Secondary analyses with Quality Incentive Program (QIP) scores and population characteristics were also performed. We observed a negligible correlation between star ratings and the proportion of local individuals below FPL; Spearman coefficient, R = -0.09 (p<0.0001), and a stronger correlation between star ratings and the proportion of black individuals; R = -0.21 (p<0.0001). Ordered logistic regression analyses yielded adjusted odds ratio of 0.91 (95% confidence interval [0.80-1.30], p = 0.12) and 0.55 ([0.48-0.63], p<0.0001) for high vs. low level of proportion below FPL and proportion of black individuals, respectively. In contrast, a near-zero correlation was observed between star ratings and the proportion of Hispanic individuals. Correlations varied substantially by country region, clinic profit status and clinic size. Analyses using clinic QIP scores provided similar results. Sociodemographic characteristics of the surrounding community, factors typically outside of providers' direct control, have varying levels of association with clinic dialysis star ratings.

Indexed as

Black or African AmericanHispanic or LatinoAmbulatory Care FacilitiesCenters for Medicare and Medicaid Services, U.S.HumansLogistic ModelsMedicaidMedicareOdds RatioPoverty AreasQuality Indicators, Health CareRenal DialysisUnited States

Identifiers

PMID29040342
PMCPMC5645143

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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.