Literature DB >> 21658825

Adequacy of dialysis clinic staffing and quality of care: a review of evidence and areas of needed research.

William A Wolfe1.   

Abstract

Improving the quality of care delivered to patients receiving in-center dialysis treatment remains a perpetual concern with stakeholders. Quality indicators traditionally have focused on such items as adequacy of dialysis, anemia management, patient survival, and, most recently, the percentage using arteriovenous fistulas. Largely overlooked in the quest for improvement has been adequate consideration of dialysis clinic staffing levels. Staffing is important because it has been identified as a structural measure of quality. With 326,671 (93.1%) of all dialysis patients receiving in-center treatments, this is a potentially critical issue. This article reviews evidence related to inadequacies in clinic staffing and how they may be contributing to suboptimal care and outcomes. Focusing on nephrologists, nurses, patient care technicians, dietitians, and social workers, this article suggests areas of needed research.
Copyright © 2011 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21658825     DOI: 10.1053/j.ajkd.2011.03.027

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  6 in total

1.  Dialysis Provider and Outcomes among United States Veterans Who Transition to Dialysis.

Authors:  Elani Streja; Csaba Pal Kovesdy; Melissa Soohoo; Yoshitsugu Obi; Connie M Rhee; Christina Park; Joline L T Chen; Tracy Nakata; Danh V Nguyen; Alpesh N Amin; Steven J Jacobsen; John J Sim; Kamyar Kalantar-Zadeh
Journal:  Clin J Am Soc Nephrol       Date:  2018-06-14       Impact factor: 8.237

2.  Patient care staffing levels and facility characteristics in U.S. hemodialysis facilities.

Authors:  Laura A G Yoder; Wenjun Xin; Keith C Norris; Guofen Yan
Journal:  Am J Kidney Dis       Date:  2013-06-28       Impact factor: 8.860

3.  Structural Equation Modeling to Explore Patient to Staff Ratios as an Explanatory Factor for Variation in Dialysis Facility Outcomes.

Authors:  Rosa K Hand; Jeffrey M Albert; Ashwini R Sehgal
Journal:  J Ren Nutr       Date:  2018-03-31       Impact factor: 3.655

4.  Association of US Dialysis Facility Staffing with Profiling of Hospital-Wide 30-Day Unplanned Readmission.

Authors:  Yanjun Chen; Connie Rhee; Damla Senturk; Esra Kurum; Luis Campos; Yihao Li; Kamyar Kalantar-Zadeh; Danh Nguyen
Journal:  Kidney Dis (Basel)       Date:  2019-02-05

5.  A very high prevalence of hepatitis C virus infection among patients undergoing hemodialysis in Kosovo: a nationwide study.

Authors:  Xhevat Jakupi; Jana Mlakar; Maja M Lunar; Katja Seme; Ibrahim Rudhani; Lul Raka; Adriana Vince; Mario Poljak
Journal:  BMC Nephrol       Date:  2018-11-03       Impact factor: 2.388

6.  Mapping the UK renal psychosocial workforce: the first comprehensive workforce survey.

Authors:  Maaike L Seekles; Paula Ormandy; Emma Coyne
Journal:  BMC Nephrol       Date:  2019-03-21       Impact factor: 2.388

  6 in total

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