Literature DB >> 17699312

Minutes to recovery after a hemodialysis session: a simple health-related quality of life question that is reliable, valid, and sensitive to change.

Robert M Lindsay1, Paul A Heidenheim, Gihad Nesrallah, Amit X Garg, Rita Suri.   

Abstract

Patients who have end-stage renal failure and are treated by hemodialysis (HD) face a stressful chronic illness with a demanding treatment regimen that affects quality of life. Quality-of-life domains can be measured by assessment questionnaires that are easy to complete, reliable, valid, and sensitive to change. There is current interest in HD regimens that provide more frequent treatments (e.g., daily) than the conventional thrice weekly. Improvement in quality of life by these regimens has been reported. A published prospective, cohort, controlled study (London Daily/Nocturnal Hemodialysis Study) included the results of a number of quality-of-life indicators that were applied to the study patients. In general, the indicators used were well established and of proven validity. Included was one single question that was added intuitively and had not received previous validation: "How long does it take you to recover from a dialysis session?" The responses to this question allow the validation of this simple question as a tool to be used in HD clinical research. Twenty-three patients who were treated by frequent HD (5 to 7 d or nights) and 22 control subjects who were treated by thrice-weekly dialysis were studied during an 18-mo period. The "time to recovery" question was administered along with a battery of renal disease-specific questionnaires and the Generic Medical Outcomes Survey 36 Item-Short Form (SF-36) plus the global Health Utilities Index. Missing data rates, reliability over time, construct validity, and sensitivity to change were assessed from the "time to recovery" responses by standard methods. The question was administered on a total of 314 occasions and answered successfully on 313. The test-retest correlation over 3-mo intervals was highly significant (r = 0.962, P = 0.000; n = 100). Convergent construct validity was established by significant correlations between time to recovery and fatigue (r = 0.38, P = 0.000; n = 313), dialysis stress (r = 0.348, P = 0.000), disease stress (r = 0.374, P = 0.000), SF-36 subscales especially vitality (r = -0.356 P = 0.000), and the Health Utilities Index (r = -0.232, P = 0.000). These scales captured mainly physical or physiologic domains. Divergent construct validity was established by lack of correlations between "time to recovery" and a number of subscales that captured mainly emotional or psychosocial domains, e.g., SF-36 subscale for "role emotional" (r = -0.102, NS) and dialysis stressors such as access problems (r = -0.015, NS) or equipment malfunction (r = 0.032, NS). Test sensitivity was established when the conventionally dialyzed group showed no significant difference in time to recovery between baseline and other time periods, whereas the daily/nocturnal group had a significant reduction between baseline (while on conventional dialysis) and the result at each other time period (minimum P = 0.05). There also was a significant difference between the control and experimental groups over time (ANOVA P = 0.000). The response to the question, "How long does it take you to recover from a dialysis session?" is interpreted easily, is easy to which to respond, shows stability over time by test-retest, shows both convergent and divergent validity, and is sensitive to change. As such, it should be considered as a standard question in HD-related studies in which a health-related quality-of-life outcome is examined.

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Year:  2006        PMID: 17699312     DOI: 10.2215/CJN.00040106

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


  65 in total

Review 1.  Renal replacement therapy in the elderly population.

Authors:  Joseph R Berger; S Susan Hedayati
Journal:  Clin J Am Soc Nephrol       Date:  2012-04-19       Impact factor: 8.237

2.  A wearable artificial kidney for patients with end-stage renal disease.

Authors:  Victor Gura; Matthew B Rivara; Scott Bieber; Raj Munshi; Nancy Colobong Smith; Lori Linke; John Kundzins; Masoud Beizai; Carlos Ezon; Larry Kessler; Jonathan Himmelfarb
Journal:  JCI Insight       Date:  2016-06-02

3.  Design and rationale of health-related quality of life and patient-reported outcomes assessment in the Frequent Hemodialysis Network trials.

Authors:  Manisha Jhamb; Manjula K Tamura; Jennifer Gassman; Amit X Garg; Robert M Lindsay; Rita S Suri; George Ting; Fredric O Finkelstein; Scott Beach; Paul L Kimmel; Mark Unruh
Journal:  Blood Purif       Date:  2011-01-10       Impact factor: 2.614

Review 4.  The Use of a Multidimensional Measure of Dialysis Adequacy-Moving beyond Small Solute Kinetics.

Authors:  Jeffrey Perl; Laura M Dember; Joanne M Bargman; Teri Browne; David M Charytan; Jennifer E Flythe; LaTonya J Hickson; Adriana M Hung; Michel Jadoul; Timmy Chang Lee; Klemens B Meyer; Hamid Moradi; Tariq Shafi; Isaac Teitelbaum; Leslie P Wong; Christopher T Chan
Journal:  Clin J Am Soc Nephrol       Date:  2017-03-17       Impact factor: 8.237

5.  1-year course of fatigue in patients on chronic hemodialysis.

Authors:  Maurizio Bossola; Enrico Di Stasio; Manuela Antocicco; Gilda Pepe; Emanuele Marzetti; Carlo Vulpio
Journal:  Int Urol Nephrol       Date:  2017-01-04       Impact factor: 2.370

6.  BP in Dialysis: Results of a Pilot Study.

Authors:  Dana C Miskulin; Jennifer Gassman; Ronald Schrader; Ambreen Gul; Manisha Jhamb; David W Ploth; Lavinia Negrea; Raymond Y Kwong; Andrew S Levey; Ajay K Singh; Antonia Harford; Susan Paine; Cynthia Kendrick; Mahboob Rahman; Philip Zager
Journal:  J Am Soc Nephrol       Date:  2017-12-06       Impact factor: 10.121

7.  Recovery time, quality of life, and mortality in hemodialysis patients: the Dialysis Outcomes and Practice Patterns Study (DOPPS).

Authors:  Hugh C Rayner; Lindsay Zepel; Douglas S Fuller; Hal Morgenstern; Angelo Karaboyas; Bruce F Culleton; Donna L Mapes; Antonio A Lopes; Brenda W Gillespie; Takeshi Hasegawa; Rajiv Saran; Francesca Tentori; Manfred Hecking; Ronald L Pisoni; Bruce M Robinson
Journal:  Am J Kidney Dis       Date:  2014-02-14       Impact factor: 8.860

8.  A comparison of quality of life and travel-related factors between in-center and satellite-based hemodialysis patients.

Authors:  Michael J Diamant; Lori Harwood; Sujana Movva; Barbara Wilson; Larry Stitt; Robert M Lindsay; Louise M Moist
Journal:  Clin J Am Soc Nephrol       Date:  2009-12-17       Impact factor: 8.237

9.  Functional Dependence and Mortality in the International Dialysis Outcomes and Practice Patterns Study (DOPPS).

Authors:  S Vanita Jassal; Angelo Karaboyas; Leah A Comment; Brian A Bieber; Hal Morgenstern; Ananda Sen; Brenda W Gillespie; Patricia De Sequera; Mark R Marshall; Shunichi Fukuhara; Bruce M Robinson; Ronald L Pisoni; Francesca Tentori
Journal:  Am J Kidney Dis       Date:  2015-11-21       Impact factor: 8.860

10.  Broadening Options for Long-term Dialysis in the Elderly (BOLDE): differences in quality of life on peritoneal dialysis compared to haemodialysis for older patients.

Authors:  Edwina A Brown; Lina Johansson; Ken Farrington; Hugh Gallagher; Tom Sensky; Fabiana Gordon; Maria Da Silva-Gane; Nigel Beckett; Mary Hickson
Journal:  Nephrol Dial Transplant       Date:  2010-04-16       Impact factor: 5.992

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