Literature DB >> 20876677

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

Brennan Spiegel1, Roger Bolus, Amar A Desai, Philip Zagar, Tom Parker, John Moran, Matthew D Solomon, Osman Khawar, Matthew Gitlin, Jennifer Talley, Allen Nissenson.   

Abstract

BACKGROUND AND OBJECTIVES: Mortality rates vary widely among dialysis facilities even after adjustment with standardized mortality ratios (SMRs). This variation may occur because top-performing facilities use practices not shared by others, because the SMR fails to capture key patient characteristics, or both. Practices were identified that distinguish top- from bottom-performing facilities by SMR. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: A cross-sectional survey was performed of staff across three organizations. Staff members rated the perceived quality of their units' patient-, provider-, and facility-level practices using a six-point Likert scale. Facilities were divided into those with above- versus below-expected mortality on the basis of SMRs from U.S. Renal Data Service facility reports. Mean Likert scores were computed for each practice using t tests. Practices that were statistically significant (P ≤ 0.05) and achieved at least a medium effect size of ≥0.4 were reported. Significant predictors were entered into a linear regression model.
RESULTS: Dialysis facilities with below-expected mortality reported that patients in their unit were more activated and engaged, physician communication and interpersonal relationships were stronger, dieticians were more resourceful and knowledgeable, and overall coordination and staff management were superior versus facilities with above-expected mortality. Staff ratings of these practices explained 31% of the variance in SMRs.
CONCLUSIONS: Patient-, provider-, and facility-level practices partly explain SMR variation among facilities. Improving SMRs may require processes that reflect a coordinated, multidisciplinary environment (i.e., no one group, practice, or characteristic will drive facility-level SMRs). Understanding and improving SMRs will require a holistic view of the facility.

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Year:  2010        PMID: 20876677      PMCID: PMC3001761          DOI: 10.2215/CJN.01620210

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  9 in total

1.  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

2.  Identifying best practices in dialysis care: results of cognitive interviews and a national survey of dialysis providers.

Authors:  Amar A Desai; Roger Bolus; Allen Nissenson; Sally Bolus; Matthew D Solomon; Osman Khawar; Matthew Gitlin; Jennifer Talley; Brennan M R Spiegel
Journal:  Clin J Am Soc Nephrol       Date:  2008-04-16       Impact factor: 8.237

3.  Patients' participation in medical care: effects on blood sugar control and quality of life in diabetes.

Authors:  S Greenfield; S H Kaplan; J E Ware; E M Yano; H J Frank
Journal:  J Gen Intern Med       Date:  1988 Sep-Oct       Impact factor: 5.128

4.  Variable mortality rates among dialysis treatment centers.

Authors:  W M McClellan; W D Flanders; R A Gutman
Journal:  Ann Intern Med       Date:  1992-08-15       Impact factor: 25.391

5.  Expanding patient involvement in care. Effects on patient outcomes.

Authors:  S Greenfield; S Kaplan; J E Ware
Journal:  Ann Intern Med       Date:  1985-04       Impact factor: 25.391

6.  Patient and visit characteristics related to physicians' participatory decision-making style. Results from the Medical Outcomes Study.

Authors:  S H Kaplan; B Gandek; S Greenfield; W Rogers; J E Ware
Journal:  Med Care       Date:  1995-12       Impact factor: 2.983

Review 7.  The standardized mortality ratio revisited: improvements, innovations, and limitations.

Authors:  R A Wolfe
Journal:  Am J Kidney Dis       Date:  1994-08       Impact factor: 8.860

8.  Characteristics of physicians with participatory decision-making styles.

Authors:  S H Kaplan; S Greenfield; B Gandek; W H Rogers; J E Ware
Journal:  Ann Intern Med       Date:  1996-03-01       Impact factor: 25.391

9.  Assessing the effects of physician-patient interactions on the outcomes of chronic disease.

Authors:  S H Kaplan; S Greenfield; J E Ware
Journal:  Med Care       Date:  1989-03       Impact factor: 2.983

  9 in total
  5 in total

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

Authors:  John Kalbfleisch; Robert Wolfe; Sarah Bell; Rena Sun; Joseph Messana; Tempie Shearon; Valarie Ashby; Robin Padilla; Min Zhang; Marc Turenne; Jeffrey Pearson; Claudia Dahlerus; Yi Li
Journal:  J Am Soc Nephrol       Date:  2015-04-16       Impact factor: 10.121

2.  Understanding and benchmarking health service achievement of policy goals for chronic disease.

Authors:  Erica Bell; Bastian Seidel
Journal:  BMC Health Serv Res       Date:  2012-09-29       Impact factor: 2.655

3.  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

Review 4.  Value-based integrated (renal) care: setting a development agenda for research and implementation strategies.

Authors:  Pim P Valentijn; Claus Biermann; Marc A Bruijnzeels
Journal:  BMC Health Serv Res       Date:  2016-08-02       Impact factor: 2.655

5.  Health self-assessment by hemodialysis patients in the Brazilian Unified Health System.

Authors:  Tiago Ricardo Moreira; Luana Giatti; Cibele Comini Cesar; Eli Iola Gurgel Andrade; Francisco de Assis Acurcio; Mariângela Leal Cherchiglia
Journal:  Rev Saude Publica       Date:  2016-05-03       Impact factor: 2.106

  5 in total

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