Literature DB >> 1453592

Using USRDS generated mortality tables to compare local ESRD mortality rates to national rates.

R A Wolfe1, D S Gaylin, F K Port, P J Held, C L Wood.   

Abstract

Mortality tables of the U.S. Renal Data System allow description of national mortality rates among prevalent dialysis patients in five-year age groups and four major categories of causes of ESRD for Black and White patients. Based on these tables derived from over 50,000 deaths in dialysis patients during 1987 to 1989 a methodology is described that allows comparison of local or regional mortality rates to national rates with determination of a standardized mortality ratio and statistical significance. Since this methodology adjusts for patient age, race and cause of ESRD, it can serve as a useful tool for dialysis research and local quality assurance.

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Year:  1992        PMID: 1453592     DOI: 10.1038/ki.1992.378

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  10 in total

1.  Loss Function Based Ranking in Two-Stage, Hierarchical Models.

Authors:  Rongheng Lin; Thomas A Louis; Susan M Paddock; Greg Ridgeway
Journal:  Bayesian Anal       Date:  2006-01-01       Impact factor: 3.728

2.  Methods for Estimating and Interpreting Provider-Specific Standardized Mortality Ratios.

Authors:  Jiannong Liu; Thomas A Louis; Wei Pan; Jennie Z Ma; Allan J Collins
Journal:  Health Serv Outcomes Res Methodol       Date:  2003

3.  Using a standardized donor ratio to assess the performance of organ procurement organizations.

Authors:  Sheryl Stogis; Richard A Hirth; Robert L Strawderman; Jane Banaszak-Holl; Dean G Smith
Journal:  Health Serv Res       Date:  2002-10       Impact factor: 3.402

4.  Outcomes of Deceased Donor Kidney Offers to Patients at the Top of the Waiting List.

Authors:  Anne M Huml; Jeffrey M Albert; J Daryl Thornton; Ashwini R Sehgal
Journal:  Clin J Am Soc Nephrol       Date:  2017-07-27       Impact factor: 8.237

5.  Methods for comparing center-specific survival outcomes using direct standardization.

Authors:  Kevin He; Douglas E Schaubel
Journal:  Stat Med       Date:  2014-01-17       Impact factor: 2.373

6.  Semiparametric methods for center effect measures based on the ratio of survival functions.

Authors:  Kevin He; Douglas E Schaubel
Journal:  Lifetime Data Anal       Date:  2014-02-28       Impact factor: 1.588

7.  Clinical outcomes and quality of life in hemodialysis diabetic patients versus non-diabetics.

Authors:  Tayebeh Soleymanian; Zeinab Kokabeh; Rozita Ramaghi; Alireza Mahjoub; Hassan Argani
Journal:  J Nephropathol       Date:  2016-12-14

8.  Epidemiology and mortality of liver abscess in end-stage renal disease dialysis patients: Taiwan national cohort study.

Authors:  Chon-Seng Hong; Kun-Ming Chung; Po-Chang Huang; Jhi-Joung Wang; Chun-Ming Yang; Chin-Chen Chu; Chung-Ching Chio; Fu-Lin Chang; Chih-Chiang Chien
Journal:  PLoS One       Date:  2014-02-14       Impact factor: 3.240

9.  Developing dialysis facility-specific performance measures for public reporting.

Authors:  Pamela R Frederick; Naomi L Maxey; Steven B Clauser; Jonathan R Sugarman
Journal:  Health Care Financ Rev       Date:  2002

10.  Effect of different synthetic membranes on laboratory parameters and survival in chronic haemodialysis patients.

Authors:  Wilhelm Kreusser; Stefanie Reiermann; Gert Vogelbusch; Josè Bartual; Eckhard Schulze-Lohoff
Journal:  NDT Plus       Date:  2010-05
  10 in total

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