Evidence map›Paper›PMID 23579351›Full record

ArticleMedical care2013

Variation in dialysis quality measures by facility, neighborhood, and region.

Milda R Saunders, Marshall H Chin

Abstract read
In one paragraph

Article in Medical care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Patient Navigation: Addressing Social Challenges in Dialysis Patients.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2020
    Review
  5. Article
  6. Review
  7. Review
  8. 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

2 authors.

Milda R SaundersSection of Hospital Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA. msaunder@medicine.bsd.uchicago.edu
Marshall H Chin

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI Ronald T. Ackermann, MARSHALL H CHIN · 2011 to 2026
$10.0M
Re-Engineering Translational Research at the University of ChicagoKL2TR000431 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$2.1M
Research and Mentorship in Improving Diabetes CareK24DK071933 · NIDDK · UNIVERSITY OF CHICAGO · PI CHIN, MARSHALL H · 2005 to 2014
$1.6M
NCATS NIH HHS KL2 TR000431NIDDK NIH HHS K24 DK071933NIDDK NIH HHS P30 DK092949NIMHD NIH HHS L60 MD003709
6 · The paper itself

Abstract

backgroundWe examined whether dialysis facility characteristics, neighborhood demographics, and region are associated with Centers for Medicare and Medicaid Services (CMS) dialysis facility quality measures in order to determine the most important targets for intervention.

methodsWe linked US census data to the CMS Dialysis Compare File which contains information for facility outcomes for all CMS-certified dialysis facilities in 2007 (n=5616). We then used linear and logistic regression to characterize the association between dialysis facility quality--worse than expected patient survival, and the proportion of individuals in a facility achieving dialysis adequacy (urea reduction rate >65) or target hemoglobin (10<Hgb<12 g/dL)--and dialysis facility characteristics, neighborhood demographics, and region.

resultsOnly an increasing proportion of African Americans in the neighborhood is consistently associated with worse dialysis facility outcomes, even after controlling for neighborhood poverty. Facilities with the highest proportion of African Americans in the neighborhood had worse patient survival [odds ratio (OR) 4.6; 95% confidence interval (CI), 2.8-7.6], were less likely to have adequate dialysis (β -1.4; 95% CI, -2.3 to -0.6), and achieve targeted hemoglobin (β -3.1; 95% CI, -4.7 to -1.6) compared to those with the lowest proportion. No other predictor-facility, neighborhood, or region--was consistently associated with dialysis facility quality.

conclusionsThe proportion of African Americans in the dialysis facility neighborhood is strongly and consistently associated with lower facility quality. Quality improvement efforts are particularly needed for dialysis facilities in minority communities.

Indexed as

Quality Indicators, Health CareAmbulatory Care FacilitiesAnalysis of VarianceBlack or African AmericanCenters for Medicare and Medicaid Services, U.S.Chi-Square DistributionHealth FacilitiesHealth Services ResearchHemoglobinsHumansPoverty AreasPractice Patterns, Physicians'Regression AnalysisRenal DialysisResidence CharacteristicsUnited StatesHemoglobinsUrea

Identifiers

PMID23579351
PMCPMC3651911

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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.