Literature DB >> 20493604

Dialysis practices that distinguish top- versus bottom-performing facilities by hemoglobin outcomes.

Brennan M R Spiegel1, Roger Bolus, Amar A Desai, Philip Zager, Tom Parker, John Moran, Sally Bolus, Matthew D Solomon, Osman Khawar, Matthew Gitlin, Hack Sul, Jennifer Talley, Allen Nissenson.   

Abstract

BACKGROUND: Because there is wide variation in outcomes across dialysis facilities, it is possible that top-performing units use practices not shared by others. The Identifying Best Practices in Dialysis (IBPiD) Study seeks to identify practices that distinguish top- from bottom-performing facilities by key outcomes, including achievement of recommended hemoglobin targets. STUDY
DESIGN: Observational study with cross-sectional study ascertainment of predictors and outcomes. PREDICTORS: Facility dialysis practices ascertained using practice surveys of dialysis staff who indicated their level of agreement that each practice occurs in their facility (1-6 on a Likert scale). SETTING & PARTICIPANTS: 423 personnel in 90 dialysis facilities from 1 for-profit and 2 not-for-profit dialysis organizations. OUTCOMES: Percentage of patients per month per facility with hemoglobin levels of 11-12 g/dL. We divided facilities by median into top- versus bottom-performing groups and compared mean scores for each practice using t tests. We report practices that were statistically significant and achieved at least a medium effect size (ES) >or=0.4.
RESULTS: 17 of 155 tested predictors were significant. Achievement of hemoglobin level targets was related most strongly to the use of chairside computers (ES, 0.8 [95% CI, 0.4-1.4]), extent/quality of educational videos (ES, 0.6 [95% CI, 0.2-1.1]), frequency of calling per diem staff if short staffed (ES, 0.6 [95% CI, 0.21-1.1]), policy that nurses pass written competency examinations before hire (ES, 0.6 [95% CI, 0.2-1.0]), and technician cannulation mastery (ES, 0.6 [95% CI, 0.2-1.1]). LIMITATIONS: This is a cross-sectional study that can address only associations, not causations. Future research should measure the longitudinal predictive value of these practices.
CONCLUSIONS: High-performing facilities report more effective education programs, better staff management, higher staff competency, and higher use of chairside computers, a potential marker of information technology proficiency. This suggests that hemoglobin level management is enhanced by processes reflecting a coordinated multidisciplinary environment.

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Year:  2010        PMID: 20493604     DOI: 10.1053/j.ajkd.2010.02.346

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


  4 in total

1.  Outcomes of dialytic modalities in a large incident registry cohort from Eastern Europe: the Romanian Renal Registry.

Authors:  Gabriel Mircescu; Gabriel Stefan; Liliana Gârneaţă; Irina Mititiuc; Dimitrie Siriopol; Adrian Covic
Journal:  Int Urol Nephrol       Date:  2013-10-27       Impact factor: 2.370

2.  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

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

Authors:  Milda R Saunders; Marshall H Chin
Journal:  Med Care       Date:  2013-05       Impact factor: 2.983

4.  Predictors of haemoglobin levels and resistance to erythropoiesis-stimulating agents in patients treated with low-flux haemodialysis, haemofiltration and haemodiafiltration: results of a multicentre randomized and controlled trial.

Authors:  Francesco Locatelli; Paolo Altieri; Simeone Andrulli; Giovanna Sau; Piergiorgio Bolasco; Luciano A Pedrini; Carlo Basile; Salvatore David; Mariano Feriani; Pier Eugenio Nebiolo; Rocco Ferrara; Domenica Casu; Francesco Logias; Renzo Tarchini; Francesco Cadinu; Mario Passaghe; Gianfranco Fundoni; Giuseppe Villa; Biagio Raffaele Di Iorio; Carmine Zoccali
Journal:  Nephrol Dial Transplant       Date:  2012-05-23       Impact factor: 5.992

  4 in total

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