Literature DB >> 22098764

Association of education level with dialysis outcome.

Muhammad Khattak1, Gurprataap S Sandhu, Ranil Desilva, Alexander S Goldfarb-Rumyantzev.   

Abstract

The impact of education on health care outcome has been studied in the past, but its role in the dialysis population is unclear. In this report, we evaluated this association. We used the United States Renal Data System data of end-stage renal disease patients aged 18 years. Education level at the time of end-stage renal disease onset was the primary variable of interest. The outcome of the study was patient mortality. We used four categories of education level: 0 = less than 12 years of education; 1 = high school graduate; 2 = some college; 3 = college graduate. Subgroups based on age, race, sex, donor type, and diabetic status were also analyzed. After adjustments for covariates in the Cox model, using individuals with less than 12 years of education as a reference, patients with college education showed decreased mortality with hazard ratio of 0.81 (95% confidence interval 0.69–0.95), P = 0.010. In conclusion, we showed that higher education level is associated with improved survival of patients on dialysis.

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Year:  2012        PMID: 22098764     DOI: 10.1111/j.1542-4758.2011.00615.x

Source DB:  PubMed          Journal:  Hemodial Int        ISSN: 1492-7535            Impact factor:   1.812


  6 in total

1.  Socioeconomic status and mortality among dialysis patients: a systematic review and meta-analysis.

Authors:  Sibei Tao; Xiaoxi Zeng; Jing Liu; Ping Fu
Journal:  Int Urol Nephrol       Date:  2019-01-28       Impact factor: 2.370

2.  Frequency of and risk factors for poor cognitive performance in hemodialysis patients.

Authors:  Mark J Sarnak; Hocine Tighiouart; Tammy M Scott; Kristina V Lou; Eric P Sorensen; Lena M Giang; David A Drew; Kamran Shaffi; James A Strom; Ajay K Singh; Daniel E Weiner
Journal:  Neurology       Date:  2013-01-09       Impact factor: 9.910

3.  Characterization of the BRAZPD II cohort and description of trends in peritoneal dialysis outcome across time periods.

Authors:  Thyago Proença de Moraes; Ana Elizabeth Figueiredo; Ludimila Guedim de Campos; Marcia Olandoski; Pasqual Barretti; Roberto Pecoits-Filho
Journal:  Perit Dial Int       Date:  2014-09-02       Impact factor: 1.756

4.  Differential item functioning of the CAHPS® In-Center Hemodialysis Survey.

Authors:  Claude M Setodji; John D Peipert; Ron D Hays
Journal:  Qual Life Res       Date:  2019-07-26       Impact factor: 4.147

5.  Effects of socioeconomic status on physical and mental health of hemodialysis patients in Japan: differences by age, period, and cohort.

Authors:  Hidehiro Sugisawa; Yumiko Shimizu; Tamaki Kumagai; Hiroaki Sugisaki; Seiji Ohira; Toshio Shinoda
Journal:  Int J Nephrol Renovasc Dis       Date:  2016-07-11

6.  Would government compensation of living kidney donors exploit the poor? An empirical analysis.

Authors:  Philip J Held; Frank McCormick; Glenn M Chertow; Thomas G Peters; John P Roberts
Journal:  PLoS One       Date:  2018-11-28       Impact factor: 3.240

  6 in total

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