Literature DB >> 15384021

How strong are patients' preferences in choices between dialysis modalities and doses?

Eric B Bass1, Stacey Wills, Nancy E Fink, Mollie W Jenckes, John H Sadler, Andrew S Levey, Klemens Meyer, Neil R Powe.   

Abstract

BACKGROUND: How dialysis patients feel about their treatment may influence how they respond to information suggesting that survival is better with a higher dose or different treatment modality. We assessed the strength of dialysis patients' preferences for their current treatment modality versus other modalities, how differences in survival between modalities and doses could influence preferences, and whether preferences differ by patient characteristics.
METHODS: We measured preference values for current health on dialysis therapy and for standardized descriptions of dialysis modalities and doses by using a sample of dialysis patients in Maryland and Massachusetts and a time trade-off technique scaled between 0 (death) and 1 (perfect health).
RESULTS: We interviewed 109 patients on hemodialysis therapy, 57 patients on continuous ambulatory peritoneal dialysis (CAPD), and 22 patients on continuous cycling peritoneal dialysis (CCPD). Hemodialysis, CAPD, and CCPD patients had similar preference values for current health (mean, 0.69, 0.74, and 0.70, respectively; P > 0.1) and lower preference values for alternative modalities (eg, mean of 0.55 assigned to CAPD by hemodialysis patients). More than 75% of patients would choose a high dose over a lower dose of dialysis if it increased length of survival by 20%, but more than 30% would not switch modality, even if it increased survival by 100%. The only characteristic associated with a difference in preference values was depression, with weaker preferences among those with mild to moderate depressive mood.
CONCLUSION: Dialysis patients have strong preferences for their current modality and are more likely to accept a higher dose of dialysis than switch modality to increase survival. Physicians should talk with patients about the modality and dose they prefer because preferences cannot be predicted by patient characteristics.

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Year:  2004        PMID: 15384021

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


  12 in total

Review 1.  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

2.  Geographic and temporal trends in peritoneal dialysis services in the United States between 1995 and 2003.

Authors:  Virginia Wang; Shoou-Yih D Lee; Uptal D Patel; Bryan J Weiner; Thomas C Ricketts; Morris Weinberger
Journal:  Am J Kidney Dis       Date:  2010-04-10       Impact factor: 8.860

3.  Market Competition and Health Outcomes in Hemodialysis.

Authors:  Kevin F Erickson; Yuanchao Zheng; Vivian Ho; Wolfgang C Winkelmayer; Jay Bhattacharya; Glenn M Chertow
Journal:  Health Serv Res       Date:  2018-02-22       Impact factor: 3.402

Review 4.  Optimizing renal replacement therapy in older adults: a framework for making individualized decisions.

Authors:  Manjula Kurella Tamura; Jane C Tan; Ann M O'Hare
Journal:  Kidney Int       Date:  2011-11-16       Impact factor: 10.612

5.  Factors affecting hemodialysis patients' satisfaction with their dialysis therapy.

Authors:  M Al Eissa; M Al Sulaiman; M Jondeby; A Karkar; M Barahmein; F A M Shaheen; A Al Sayyari
Journal:  Int J Nephrol       Date:  2010-10-25

Review 6.  Elderly patients with CKD--dilemmas in dialysis therapy and vascular access.

Authors:  Tushar J Vachharajani; Louise M Moist; Marc H Glickman; Miguel A Vazquez; Kevan R Polkinghorne; Charmaine E Lok; Timmy C Lee
Journal:  Nat Rev Nephrol       Date:  2013-12-03       Impact factor: 28.314

7.  Quality standards for predialysis education: results from a consensus conference.

Authors:  Corinne Isnard Bagnis; Carlo Crepaldi; Jessica Dean; Tony Goovaerts; Stefan Melander; Eva-Lena Nilsson; Mario Prieto-Velasco; Carmen Trujillo; Roberto Zambon; Andrew Mooney
Journal:  Nephrol Dial Transplant       Date:  2014-06-23       Impact factor: 5.992

8.  An epidemiologic model to project the impact of changes in glomerular filtration rate on quality of life and survival among persons with chronic kidney disease.

Authors:  Adrian R Levy; Robert M Perkins; Karissa M Johnston; Sean D Sullivan; Vipan C Sood; Wendy Agnese; Mark A Schnitzler
Journal:  Int J Nephrol Renovasc Dis       Date:  2014-07-03

9.  Development of a decision aid to inform patients' and families' renal replacement therapy selection decisions.

Authors:  Jessica M Ameling; Priscilla Auguste; Patti L Ephraim; LaPricia Lewis-Boyer; Nicole DePasquale; Raquel C Greer; Deidra C Crews; Neil R Powe; Hamid Rabb; L Ebony Boulware
Journal:  BMC Med Inform Decis Mak       Date:  2012-12-01       Impact factor: 2.796

10.  Selecting renal replacement therapies: what do African American and non-African American patients and their families think others should know? A mixed methods study.

Authors:  Nicole DePasquale; Patti L Ephraim; Jessica Ameling; Lapricia Lewis-Boyér; Deidra C Crews; Raquel C Greer; Hamid Rabb; Neil R Powe; Bernard G Jaar; Luis Gimenez; Priscilla Auguste; Mollie Jenckes; L Ebony Boulware
Journal:  BMC Nephrol       Date:  2013-01-14       Impact factor: 2.388

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