Literature DB >> 25882829

Risk Adjustment and the Assessment of Disparities in Dialysis Mortality Outcomes.

John Kalbfleisch1, Robert Wolfe2, Sarah Bell1, Rena Sun3, Joseph Messana4, Tempie Shearon1, Valarie Ashby1, Robin Padilla1, Min Zhang1, Marc Turenne5, Jeffrey Pearson5, Claudia Dahlerus1, Yi Li6.   

Abstract

Standardized mortality ratios (SMRs) reported by Medicare compare mortality at individual dialysis facilities with the national average, and are currently adjusted for race. However, whether the adjustment for race obscures or clarifies disparities in quality of care for minority groups is unknown. Cox model-based SMRs were computed with and without adjustment for patient race for 5920 facilities in the United States during 2010. The study population included virtually all patients treated with dialysis during this period. Without race adjustment, facilities with higher proportions of black patients had better survival outcomes; facilities with the highest percentage of black patients (top 10%) had overall mortality rates approximately 7% lower than expected. After adjusting for within-facility racial differences, facilities with higher proportions of black patients had poorer survival outcomes among black and non-black patients; facilities with the highest percentage of black patients (top 10%) had mortality rates approximately 6% worse than expected. In conclusion, accounting for within-facility racial differences in the computation of SMR helps to clarify disparities in quality of health care among patients with ESRD. The adjustment that accommodates within-facility comparisons is key, because it could also clarify relationships between patient characteristics and health care provider outcomes in other settings.
Copyright © 2015 by the American Society of Nephrology.

Entities:  

Keywords:  dialysis; end-stage renal disease; mortality; outcomes; risk factors

Mesh:

Year:  2015        PMID: 25882829      PMCID: PMC4625664          DOI: 10.1681/ASN.2014050512

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  16 in total

1.  Limitations of the facility-specific standardized mortality ratio for profiling health care quality in dialysis.

Authors:  E Lacson; M Teng; J M Lazarus; N Lew; E Lowrie; W Owen
Journal:  Am J Kidney Dis       Date:  2001-02       Impact factor: 8.860

2.  Inequality in quality: addressing socioeconomic, racial, and ethnic disparities in health care.

Authors:  K Fiscella; P Franks; M R Gold; C M Clancy
Journal:  JAMA       Date:  2000-05-17       Impact factor: 56.272

Review 3.  Race, socioeconomic status, and health. The added effects of racism and discrimination.

Authors:  D R Williams
Journal:  Ann N Y Acad Sci       Date:  1999       Impact factor: 5.691

4.  Calculation and public use of the unit-specific standardized mortality ratio.

Authors:  R A Wolfe; P J Held; F K Port
Journal:  Am J Kidney Dis       Date:  2001-07       Impact factor: 8.860

5.  Inflammation and the paradox of racial differences in dialysis survival.

Authors:  Deidra C Crews; Stephen M Sozio; Yongmei Liu; Josef Coresh; Neil R Powe
Journal:  J Am Soc Nephrol       Date:  2011-10-21       Impact factor: 10.121

6.  Dialysis practices that distinguish facilities with below- versus above-expected mortality.

Authors:  Brennan Spiegel; Roger Bolus; Amar A Desai; Philip Zagar; Tom Parker; John Moran; Matthew D Solomon; Osman Khawar; Matthew Gitlin; Jennifer Talley; Allen Nissenson
Journal:  Clin J Am Soc Nephrol       Date:  2010-09-28       Impact factor: 8.237

7.  Neighborhood poverty and racial differences in ESRD incidence.

Authors:  Nataliya Volkova; William McClellan; Mitchel Klein; Dana Flanders; David Kleinbaum; J Michael Soucie; Rodney Presley
Journal:  J Am Soc Nephrol       Date:  2007-12-05       Impact factor: 10.121

8.  Genetic basis of nondiabetic end-stage renal disease.

Authors:  Barry I Freedman; Rulan S Parekh; W H Linda Kao
Journal:  Semin Nephrol       Date:  2010-03       Impact factor: 5.299

9.  Racial and ethnic differences in the association of body mass index and survival in maintenance hemodialysis patients.

Authors:  Joni Ricks; Miklos Z Molnar; Csaba P Kovesdy; Joel D Kopple; Keith C Norris; Rajnish Mehrotra; Allen R Nissenson; Onyebuchi A Arah; Sander Greenland; Kamyar Kalantar-Zadeh
Journal:  Am J Kidney Dis       Date:  2011-06-12       Impact factor: 8.860

10.  Neighborhood socioeconomic status, race, and mortality in young adult dialysis patients.

Authors:  Tanya S Johns; Michelle M Estrella; Deidra C Crews; Lawrence J Appel; Cheryl A M Anderson; Patti L Ephraim; Courtney Cook; L Ebony Boulware
Journal:  J Am Soc Nephrol       Date:  2014-06-12       Impact factor: 10.121

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  4 in total

1.  Measuring Emergency Care Survival: The Implications of Risk-Adjusting for Race and Poverty.

Authors:  Kimon L H Ioannides; Avi Baehr; David N Karp; Douglas J Wiebe; Brendan G Carr; Daniel N Holena; M Kit Delgado
Journal:  Acad Emerg Med       Date:  2018-05-31       Impact factor: 3.451

Review 2.  Hemodialysis Disparities in African Americans: The Deeply Integrated Concept of Race in the Social Fabric of Our Society.

Authors:  Keith C Norris; Sandra F Williams; Connie M Rhee; Susanne B Nicholas; Csaba P Kovesdy; Kamyar Kalantar-Zadeh; L Ebony Boulware
Journal:  Semin Dial       Date:  2017-03-09       Impact factor: 3.455

3.  Hemodialysis Adequacy and Its Impact on Long-Term Patient Survival in Demographically, Socially, and Culturally Homogeneous Patients.

Authors:  Reza Hekmat
Journal:  Int J Nephrol       Date:  2020-08-19

4.  Avoidable visits to the emergency department(ED) and their association with sex, age and race in a cohort of low socio-economic status patients on hemodialysis in the Bronx.

Authors:  Ladan Golestaneh; Eran Bellin; Joel Neugarten; Yungtai Lo
Journal:  PLoS One       Date:  2018-08-24       Impact factor: 3.240

  4 in total

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