Literature DB >> 26090696

Socioeconomic Status of Counties Where Dialysis Clinics Are Located Is an Important Factor in Comparing Dialysis Providers.

Fadi Almachraki1, Michael Tuffli1, Paul Lee1, Mark Desmarais2, Huai-Che Shih2, Allen R Nissenson1, Mahesh Krishnan1.   

Abstract

This study assessed the hypothesis that the clinic site of service socioeconomic status (SES) represents an unmeasured confounder for clinical outcome comparisons between dialysis clinics and provider types, using data from the federal pay-for-performance program for end-stage renal disease. A total of 6506 dialysis facilities were categorized by clinic SES status (rurality and poverty status). Clinics were then grouped by provider type (chain size and tax status). Lastly, performance penalties were determined by each of these classifications. Findings were that 7.4% of dialysis clinics could be classified as being in rural locations, and 20.6% could be classified as being in high-poverty locations. Large dialysis organizations served more rural (65%) and high-poverty areas (metropolitan, 69%; micropolitan, 75%; rural, 75%) compared to other providers (medium, small, hospital/university). For-profit providers accounted for a majority of dialysis clinics in rural areas (78%) and high poverty areas (metropolitan, 84%; micropolitan, 85%; rural, 90%). This study found that dialysis clinic performance penalties did vary by SES, with poorer outcomes observed for clinic locations with lower SES. This finding, along with the nonrandom distribution of provider types by SES status, suggests that clinic and provider location SES may need to be considered when comparing providers.

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Year:  2015        PMID: 26090696     DOI: 10.1089/pop.2014.0158

Source DB:  PubMed          Journal:  Popul Health Manag        ISSN: 1942-7891            Impact factor:   2.459


  2 in total

1.  Data concordance between ESRD Medical Evidence Report and Medicare claims: is there any improvement?

Authors:  Yi Mu; Andrew I Chin; Abhijit V Kshirsagar; Heejung Bang
Journal:  PeerJ       Date:  2018-07-27       Impact factor: 2.984

2.  Regional and Temporal Variations in Comorbidity Among US Dialysis Patients: A Longitudinal Study of Medicare Claims Data.

Authors:  Yi Mu; Andrew I Chin; Abhijit V Kshirsagar; Yi Zhang; Heejung Bang
Journal:  Inquiry       Date:  2018 Jan-Dec       Impact factor: 1.730

  2 in total

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