Skip to main content
Top
Published in: Journal of Nephrology 4/2014

01-08-2014 | Original Article

Relationships of clinic size, geographic region, and race/ethnicity to the frequency of missed/shortened dialysis treatments

Authors: Chamberlain Obialo, Phillip G. Zager, Orrin B. Myers, William C. Hunt

Published in: Journal of Nephrology | Issue 4/2014

Login to get access

Abstract

Background

Significant international differences abound in the adherence of hemodialysis (HD) patients to prescribed treatments. Unfortunately, factors influencing adherence within the United States (US) are not well understood. This study explores the hypothesis that race/ethnicity, geographic region and clinic size are associated with differences in the frequency of missed/shortened treatments.

Methods

A retrospective analysis on all prevalent chronic HD patients treated at Dialysis Clinics Inc. facilities between January 2007 and June 2008. Logistic regression models were computed in which the outcome measures were the odds for missing or shortening treatments.

Results

The cohort consisted of 15,340 HD patients of whom 48 % were non-Hispanic whites (NHW), 41 % African Americans (AA), 6 % Hispanics, 2 % Native Americans, 2 % Asians, and 1 % unknown. Patients were older in the Northeast than in the South (p < 0.001) or West (p = 0.0052). The frequency of missed and shortened treatments was lower in the Northeast than other regions, p < 0.0001. Hospitalization rates were lower in the West than the Northeast (p < 0.01) but mortality rates were similar across all regions. The odds ratio and 95 % confidence interval for missed [1.31 (1.14–1.52)] and shortened treatments [1.86 (1.73–2.0)] were greater in clinics with >100 patients than in those with <50 patients. Compared to NHW, the frequencies of missed and shortened treatments were higher in AA, Hispanics and Native Americans (p < 0.001) but lower among Asians (p < 0.001).

Conclusion

The frequency of missed and shortened HD varies significantly by race/ethnicity, geographic region and clinic size. The relationship of clinic size to missed/shortened treatments may warrant consideration when planning new HD facilities.
Literature
1.
go back to reference Leggat JE, Orzol SM, Hulbert-Shearon TE et al (1998) Non-compliance in hemodialysis: predictors and survival analysis. Am J Kidney Dis 32:139–145PubMedCrossRef Leggat JE, Orzol SM, Hulbert-Shearon TE et al (1998) Non-compliance in hemodialysis: predictors and survival analysis. Am J Kidney Dis 32:139–145PubMedCrossRef
2.
go back to reference Denhaerynck K, Manhaeve D, Dobbels F, Garzoni D, Nolte C, De Geest S (2007) Prevalence and consequences of non-adherence to hemodialysis. Am J Crit Care 16(3):222–235PubMed Denhaerynck K, Manhaeve D, Dobbels F, Garzoni D, Nolte C, De Geest S (2007) Prevalence and consequences of non-adherence to hemodialysis. Am J Crit Care 16(3):222–235PubMed
3.
go back to reference Saran R, Bragg-Gresham JL, Rayner HC et al (2003) Non-adherence in hemodialysis; associations with mortality, hospitalization, and practice patterns in the DOPPS. Kidney Int 64:254–262PubMedCrossRef Saran R, Bragg-Gresham JL, Rayner HC et al (2003) Non-adherence in hemodialysis; associations with mortality, hospitalization, and practice patterns in the DOPPS. Kidney Int 64:254–262PubMedCrossRef
4.
go back to reference Obialo CI, Hunt WC, Bashir K, Zager PG (2012) Relationship of missed and shortened hemodialysis treatments to hospitalization and mortality: observations from a US dialysis network. Clin Kidney J 5:315–319CrossRef Obialo CI, Hunt WC, Bashir K, Zager PG (2012) Relationship of missed and shortened hemodialysis treatments to hospitalization and mortality: observations from a US dialysis network. Clin Kidney J 5:315–319CrossRef
5.
go back to reference Bleyer A, Hylander B, Sudo H et al (1999) An international study of patient compliance with hemodialysis. JAMA 281(13):1211–1213PubMedCrossRef Bleyer A, Hylander B, Sudo H et al (1999) An international study of patient compliance with hemodialysis. JAMA 281(13):1211–1213PubMedCrossRef
6.
go back to reference Unruh ML, Evans IV, Fink NE, Powe NR, Meyer KB (2005) Skipped treatments, markers of nutritional non-adherence and survival among incident hemodialysis patients. Am J Kidney Dis 46(6):1107–1116PubMedCrossRef Unruh ML, Evans IV, Fink NE, Powe NR, Meyer KB (2005) Skipped treatments, markers of nutritional non-adherence and survival among incident hemodialysis patients. Am J Kidney Dis 46(6):1107–1116PubMedCrossRef
7.
go back to reference Obialo CI, Bashir K, Goring S et al (2008) “No Show” on Saturdays: implications of the weekly hemodialysis schedules on non-adherence and outcomes. J Nat Med Assoc 100(4):412–419 Obialo CI, Bashir K, Goring S et al (2008) “No Show” on Saturdays: implications of the weekly hemodialysis schedules on non-adherence and outcomes. J Nat Med Assoc 100(4):412–419
8.
go back to reference Liang KY, Zeger SL (1986) Longitudinal data analysis using generalized linear models. Biometrika 73(1):13–22CrossRef Liang KY, Zeger SL (1986) Longitudinal data analysis using generalized linear models. Biometrika 73(1):13–22CrossRef
9.
go back to reference Russell CL, Knowles N, Peace L (2007) Adherence in dialysis patients: a review of the literature. J Nephrol Soc Work 27:11–44 Russell CL, Knowles N, Peace L (2007) Adherence in dialysis patients: a review of the literature. J Nephrol Soc Work 27:11–44
10.
go back to reference Rodriguez RA, Sen S, Mehta K, Moody-Ayers S, Bacchetti P, O’Hare AM (2007) Geography matters: relationships among urban residential segregation, dialysis facilities, and patient outcomes. Ann Intern Med 146(7):493–501PubMedCrossRef Rodriguez RA, Sen S, Mehta K, Moody-Ayers S, Bacchetti P, O’Hare AM (2007) Geography matters: relationships among urban residential segregation, dialysis facilities, and patient outcomes. Ann Intern Med 146(7):493–501PubMedCrossRef
11.
go back to reference Topolyai M, Fulop T, Uysal A et al (2010) Regional differences in nonadherence to dialysis among southern dialysis patients: a comparative cross-sectional study to the dialysis outcomes and practice patterns study. Am J Med Sci 339(6):516–518 Topolyai M, Fulop T, Uysal A et al (2010) Regional differences in nonadherence to dialysis among southern dialysis patients: a comparative cross-sectional study to the dialysis outcomes and practice patterns study. Am J Med Sci 339(6):516–518
12.
go back to reference (2011) US Census Bureau: income, poverty and health insurance coverage in the US 2012 Reports, 131st edn, Washington DC (2011) US Census Bureau: income, poverty and health insurance coverage in the US 2012 Reports, 131st edn, Washington DC
13.
go back to reference Frankenfield DL, Howell BL, Wei II, Anderson KK (2011) Cost-related nonadherence to prescribed medication therapy among Medicare Part D beneficiaries with end-stage renal disease. Am J Health Syst Pharm 68(14):1339–1348PubMedCrossRef Frankenfield DL, Howell BL, Wei II, Anderson KK (2011) Cost-related nonadherence to prescribed medication therapy among Medicare Part D beneficiaries with end-stage renal disease. Am J Health Syst Pharm 68(14):1339–1348PubMedCrossRef
14.
go back to reference Kimmel PL (2000) Psychosocial factors in adult end-stage renal disease patients treated with hemodialysis: correlation and outcomes. Am J Kidney Dis 35 (Suppl 1)(4):S132–S140CrossRef Kimmel PL (2000) Psychosocial factors in adult end-stage renal disease patients treated with hemodialysis: correlation and outcomes. Am J Kidney Dis 35 (Suppl 1)(4):S132–S140CrossRef
15.
go back to reference Ricketts TC, Johnson-Webb KD, Randolph RK (1999) Rural health in the US. Oxford University Press, NY, pp 7–24 Ricketts TC, Johnson-Webb KD, Randolph RK (1999) Rural health in the US. Oxford University Press, NY, pp 7–24
16.
go back to reference (2011) US Renal Data System. USRDS 2011. Annual Data Report: Atlas of End Stage Renal Disease in the United States. National Institute of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda (2011) US Renal Data System. USRDS 2011. Annual Data Report: Atlas of End Stage Renal Disease in the United States. National Institute of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda
17.
go back to reference Eggers PW (1990) Mortality rates among dialysis patients in Medicare’s End-Stage Renal Disease Program. Am J Kidney Dis 154:14–21 Eggers PW (1990) Mortality rates among dialysis patients in Medicare’s End-Stage Renal Disease Program. Am J Kidney Dis 154:14–21
18.
go back to reference Pugh JA, Tuley MR, Basu S (1994) Survival among Mexican-Americans, non-Hispanic whites, and African Americans with end-stage renal disease: the emergence of a minority pattern of increased incidence and prolonged survival. Am J Kidney Dis 23(6):803–807PubMedCrossRef Pugh JA, Tuley MR, Basu S (1994) Survival among Mexican-Americans, non-Hispanic whites, and African Americans with end-stage renal disease: the emergence of a minority pattern of increased incidence and prolonged survival. Am J Kidney Dis 23(6):803–807PubMedCrossRef
19.
go back to reference Owen WF, Chertow GM, Lazarus JM, Lowrie EG (1998) Dose of hemodialysis and survival: differences by race and sex. JAMA 280(20):1764–1768PubMedCrossRef Owen WF, Chertow GM, Lazarus JM, Lowrie EG (1998) Dose of hemodialysis and survival: differences by race and sex. JAMA 280(20):1764–1768PubMedCrossRef
20.
go back to reference Pei YP, Greenwood CM, Chery AL, Wu GG (2000) Racial differences in survival of patients on dialysis. Kidney Int 58(3):1293–1299PubMedCrossRef Pei YP, Greenwood CM, Chery AL, Wu GG (2000) Racial differences in survival of patients on dialysis. Kidney Int 58(3):1293–1299PubMedCrossRef
21.
go back to reference Murthy BVR, Molony DA, Stack AG (2005) Survival advantage of Hispanic patients initiating dialysis in the United States is modified by race. JASN 16(3):782–790PubMedCrossRef Murthy BVR, Molony DA, Stack AG (2005) Survival advantage of Hispanic patients initiating dialysis in the United States is modified by race. JASN 16(3):782–790PubMedCrossRef
22.
go back to reference Hall YN, Jolly SE, Xu P, Abrass CK, Buckwald D, Himmelfarb J (2011) Regional differences in dialysis care and mortality among American Indians and Alaska natives. JASN 22(12):2287–2295PubMedCentralPubMedCrossRef Hall YN, Jolly SE, Xu P, Abrass CK, Buckwald D, Himmelfarb J (2011) Regional differences in dialysis care and mortality among American Indians and Alaska natives. JASN 22(12):2287–2295PubMedCentralPubMedCrossRef
23.
24.
go back to reference Matteson ML, Russell C (2010) Interventions to improve hemodialysis adherence: a systematic review of randomized-controlled trials. Hem Int 14(4):370–382CrossRef Matteson ML, Russell C (2010) Interventions to improve hemodialysis adherence: a systematic review of randomized-controlled trials. Hem Int 14(4):370–382CrossRef
25.
go back to reference Alemi F, Pawloski L, Fallon WF (2003) System thinking in personal context to improve eating behaviors. J Health Qual 25:20–25CrossRef Alemi F, Pawloski L, Fallon WF (2003) System thinking in personal context to improve eating behaviors. J Health Qual 25:20–25CrossRef
26.
go back to reference Krammerer J, Garry G, Hartigan M, Carter B, Erlich L (2007) Adherence in patients on dialysis: strategies for success. Nephrol Nurs J 34:479–487 Krammerer J, Garry G, Hartigan M, Carter B, Erlich L (2007) Adherence in patients on dialysis: strategies for success. Nephrol Nurs J 34:479–487
27.
go back to reference Miller NH, Hill M, Kottke T, Ockene IS (1997) The multilevel compliance challenge: recommendations for a call to action. A statement for healthcare professionals. Circulation 95:1085–1090PubMedCrossRef Miller NH, Hill M, Kottke T, Ockene IS (1997) The multilevel compliance challenge: recommendations for a call to action. A statement for healthcare professionals. Circulation 95:1085–1090PubMedCrossRef
28.
go back to reference Ockene IS, Hayman LL, Pasternak RC, Schron E, Dunbar-Jacob J (2002) Task Force #4-Adherence issues and behavior changes: achieving a long-term solution. JACC 40:597–661CrossRef Ockene IS, Hayman LL, Pasternak RC, Schron E, Dunbar-Jacob J (2002) Task Force #4-Adherence issues and behavior changes: achieving a long-term solution. JACC 40:597–661CrossRef
29.
go back to reference Cukor D, Rosenthal DS, Jindal RM et al (2009) Depression is an important contributor to low medication adherence in hemodialysis patients and transplant recipients. Kidney Int 75:1223–1229PubMedCrossRef Cukor D, Rosenthal DS, Jindal RM et al (2009) Depression is an important contributor to low medication adherence in hemodialysis patients and transplant recipients. Kidney Int 75:1223–1229PubMedCrossRef
Metadata
Title
Relationships of clinic size, geographic region, and race/ethnicity to the frequency of missed/shortened dialysis treatments
Authors
Chamberlain Obialo
Phillip G. Zager
Orrin B. Myers
William C. Hunt
Publication date
01-08-2014
Publisher
Springer International Publishing
Published in
Journal of Nephrology / Issue 4/2014
Print ISSN: 1121-8428
Electronic ISSN: 1724-6059
DOI
https://doi.org/10.1007/s40620-013-0035-y

Other articles of this Issue 4/2014

Journal of Nephrology 4/2014 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine