Skip to main content
Top
Published in: BMC Health Services Research 1/2016

Open Access 01-12-2016 | Research article

Geographic variation in access among adults with kidney disease: evidence from medical expenditure panel survey, 2002–2011

Authors: Mukoso N. Ozieh, Kinfe G. Bishu, Rebekah J. Walker, Jennifer A. Campbell, Leonard E. Egede

Published in: BMC Health Services Research | Issue 1/2016

Login to get access

Abstract

Background

To understand geographic variation in access to care over time in patients with kidney disease.

Methods

We analyzed 4404 (weighted sample of 4,251,129) adults with kidney disease from the United States using the Medical Expenditure Panel Survey over 10 years. Three dependent variables were created to investigate variation in access: usual source of care, overall medical access to care, which took into account usual source of care, ability to get care, and delay in care, and prescription access, which took into account ability to get prescriptions and delay in getting prescriptions. Multiple logistic regression was used with geographic region as the main independent variable, adjusting for relevant covariates.

Results

Compared to the Northeast region, adults living in the Midwest (OR = 0.56; 95 % CI 0.35–0.89), South (OR = 0.48; 95 % CI 0.32–0.72) and West (OR = 0.53; 95 % CI 0.34–0.84) had significantly lower odds of reporting usual source of care. For the combined access measure, compared to Northeast, adults in Midwest (OR = 0.60; 95 % CI 0.40–0.88), South (OR = 0.62; 95 % CI 0.44–0.88) and West (OR = 0.50; 95 % CI 0.34–0.72) had significantly lower odds of medical access to care. Region was not significantly associated with the odds of having prescription access, though a significant increase in prescription access was observed over time.

Conclusions

Geographic variation in access to care among adults with kidney disease exists independent of income, education, insurance and comorbid conditions, with those in the South least likely to have a usual source of care and those in the West least likely to have overall access to care when compared to the Northeast United States.
Literature
1.
go back to reference Weinick RM, Drilea SK. Usual sources of health care and barriers to care, 1996. StatBull Metrop Insur Co. 1998;79(1):11–7. Weinick RM, Drilea SK. Usual sources of health care and barriers to care, 1996. StatBull Metrop Insur Co. 1998;79(1):11–7.
2.
go back to reference Aday LA and Andersen RM. A framework for the study of access to medical care. Health Services Research. 1974;9(3):208–20. Aday LA and Andersen RM. A framework for the study of access to medical care. Health Services Research. 1974;9(3):208–20.
3.
go back to reference Andersen RM, Davidson PL. Improving access to care in America: Individual and contextual indicators. In Changing the US Health Care System: Key Issues in Health Services Policy and Management. 3rd edition. Eds: Andersen RM, Davidson PL, Baumeister SE. San Francisco. Jossey-Bass. 2007. Pages 3–31. Andersen RM, Davidson PL. Improving access to care in America: Individual and contextual indicators. In Changing the US Health Care System: Key Issues in Health Services Policy and Management. 3rd edition. Eds: Andersen RM, Davidson PL, Baumeister SE. San Francisco. Jossey-Bass. 2007. Pages 3–31.
4.
go back to reference Institute of Medicine (US). Committee on Monitoring Access to Personal Health Care Services. Access to Health Care in America. Ed: M. Millman. Washington DC: National Academy Press. 1993. Institute of Medicine (US). Committee on Monitoring Access to Personal Health Care Services. Access to Health Care in America. Ed: M. Millman. Washington DC: National Academy Press. 1993.
5.
go back to reference Donabedian A. Models for organizing the delivery of personal health services and criteria for evaluating them. Milbank Mem Fund Q. 1972;50:103.CrossRef Donabedian A. Models for organizing the delivery of personal health services and criteria for evaluating them. Milbank Mem Fund Q. 1972;50:103.CrossRef
6.
go back to reference Radley DC, Schoen C. Geographic variation in access to care – the relationship with quality. N Engl J Med. 2012;367(1):3–6.CrossRefPubMed Radley DC, Schoen C. Geographic variation in access to care – the relationship with quality. N Engl J Med. 2012;367(1):3–6.CrossRefPubMed
7.
go back to reference Comber AJ, Brunsdon C, Radburn R. A spatial analysis of variations in health access: linking geography, socio-economic status and access perceptions. Int J Health Geogr. 2011;10:44.CrossRefPubMedPubMedCentral Comber AJ, Brunsdon C, Radburn R. A spatial analysis of variations in health access: linking geography, socio-economic status and access perceptions. Int J Health Geogr. 2011;10:44.CrossRefPubMedPubMedCentral
8.
go back to reference Williams AW. Health policy, disparities, and the kidney. Adv Chronic Kidney Dis. 2015;22(1):54–9.CrossRefPubMed Williams AW. Health policy, disparities, and the kidney. Adv Chronic Kidney Dis. 2015;22(1):54–9.CrossRefPubMed
9.
go back to reference Axelrod DA, Lentine KL, Xiao H, et al. Accountability for end-stage organ care: implications of geographic variation in access to kidney transplantation. Surgery. 2014;155(5):734–42.CrossRefPubMed Axelrod DA, Lentine KL, Xiao H, et al. Accountability for end-stage organ care: implications of geographic variation in access to kidney transplantation. Surgery. 2014;155(5):734–42.CrossRefPubMed
10.
go back to reference Mathur AK, Ashby VB, Sands RL, Wolfe RA. Geographic variation in end-stage renal disease incidence and access to deceased donor kidney transplantation. Am J Transplant. 2010;10(4 Pt 2):1069–80.CrossRefPubMed Mathur AK, Ashby VB, Sands RL, Wolfe RA. Geographic variation in end-stage renal disease incidence and access to deceased donor kidney transplantation. Am J Transplant. 2010;10(4 Pt 2):1069–80.CrossRefPubMed
11.
go back to reference Francis A, Didsbury M, Lim WH, et al. The impact of socioeconomic status and geographic remoteness on access to pre-emptive kidney transplantation and transplant outcomes among children. Pediatr Nephrol. 2016;31(6):1011–19. Francis A, Didsbury M, Lim WH, et al. The impact of socioeconomic status and geographic remoteness on access to pre-emptive kidney transplantation and transplant outcomes among children. Pediatr Nephrol. 2016;31(6):1011–19.
12.
go back to reference Hirth RA, Tedeschi PJ, Wheeler JR. Extent and sources of geographic variation in Medicare end-stage renal disease expenditures. Am J Kidney Dis. 2001;38(4):824–31.CrossRefPubMed Hirth RA, Tedeschi PJ, Wheeler JR. Extent and sources of geographic variation in Medicare end-stage renal disease expenditures. Am J Kidney Dis. 2001;38(4):824–31.CrossRefPubMed
13.
go back to reference Garcia-Garcia G, Jha V. World Kidney Day Steering C. Chronic kidney disease in disadvantaged populations. Transplantation. 2015;99(1):13–6.CrossRefPubMed Garcia-Garcia G, Jha V. World Kidney Day Steering C. Chronic kidney disease in disadvantaged populations. Transplantation. 2015;99(1):13–6.CrossRefPubMed
14.
15.
go back to reference London R, Solis A, Goldberg GA, Wade S, Chan WW. Examination of resource use and clinical interventions associated with chronic kidney disease in a managed care population. J Manag Care Pharm. 2003;9(3):248–55.PubMed London R, Solis A, Goldberg GA, Wade S, Chan WW. Examination of resource use and clinical interventions associated with chronic kidney disease in a managed care population. J Manag Care Pharm. 2003;9(3):248–55.PubMed
16.
go back to reference Mohan S, Mutell R, Patzer RE, Holt J, Cohen D, McClellan W. Kidney transplantation and the intensity of poverty in the contiguous United States. Transplantation. 2014;98(6):640–5.CrossRefPubMedPubMedCentral Mohan S, Mutell R, Patzer RE, Holt J, Cohen D, McClellan W. Kidney transplantation and the intensity of poverty in the contiguous United States. Transplantation. 2014;98(6):640–5.CrossRefPubMedPubMedCentral
23.
go back to reference Desai PR, Lawson KA, Barner JC, Rascati KL. Identifying patent characteristics associated with high Schizophrenia-related direct medical costs in community-dwelling patents. J Manag Care Pharm. 2013;19(6):468–77.PubMed Desai PR, Lawson KA, Barner JC, Rascati KL. Identifying patent characteristics associated with high Schizophrenia-related direct medical costs in community-dwelling patents. J Manag Care Pharm. 2013;19(6):468–77.PubMed
24.
go back to reference Ozieh MN, Bishu KG, Dismuke CE, Egede LE. Trends of healthcare expenditure in United States in adults with diabetes: 2002–2011. Diabetes Care. 2015;38(10):1844–51.CrossRefPubMedPubMedCentral Ozieh MN, Bishu KG, Dismuke CE, Egede LE. Trends of healthcare expenditure in United States in adults with diabetes: 2002–2011. Diabetes Care. 2015;38(10):1844–51.CrossRefPubMedPubMedCentral
25.
go back to reference Egede LE, Bishu KG, Walker RJ, Dismuke CE. Impact of diagnosed depression on healthcare costs in adults with and without diabetes: United States, 2004–2011. J Affect Disord. 2016;195:119–26.CrossRefPubMed Egede LE, Bishu KG, Walker RJ, Dismuke CE. Impact of diagnosed depression on healthcare costs in adults with and without diabetes: United States, 2004–2011. J Affect Disord. 2016;195:119–26.CrossRefPubMed
26.
go back to reference Archer KJ, Lemeshow S. Goodness-of-fit test for a logistic regression model fitted using survey sample data. Stata J. 2006;6(1):97–105. Archer KJ, Lemeshow S. Goodness-of-fit test for a logistic regression model fitted using survey sample data. Stata J. 2006;6(1):97–105.
27.
go back to reference Musman S, Passos VMA, Silva IBR, Barreto SM. Evaluation of a prediction model for sleep apnea in patients submitted to polysomnography. J Bras Pneumol. 2011;37(1):75–84.CrossRefPubMed Musman S, Passos VMA, Silva IBR, Barreto SM. Evaluation of a prediction model for sleep apnea in patients submitted to polysomnography. J Bras Pneumol. 2011;37(1):75–84.CrossRefPubMed
28.
go back to reference US Renal Data System. USRDS 2010 Annual Data Report: Atlas of Chronic Kidney Disease and End-Stage Renal Disease in the United States. National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, 2010. US Renal Data System. USRDS 2010 Annual Data Report: Atlas of Chronic Kidney Disease and End-Stage Renal Disease in the United States. National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, 2010.
30.
go back to reference Collins AJ, Chen SC, Gilbertson DT, Foley RN. CKD surveillance using administrative data: impact on the health care system. Am J Kidney Dis. 2009;53(3 Suppl 3):S27–36.CrossRefPubMed Collins AJ, Chen SC, Gilbertson DT, Foley RN. CKD surveillance using administrative data: impact on the health care system. Am J Kidney Dis. 2009;53(3 Suppl 3):S27–36.CrossRefPubMed
32.
go back to reference Sommers BD, Maylone B, Nguyen KH, Blendon RJ, Epstein AM. The Impact Of State Policies On ACA Applications And Enrollment Among Low-Income Adults In Arkansas, Kentucky, And Texas. Health Aff (Millwood). 2015 Jun;34 (6):1010–8. Sommers BD, Maylone B, Nguyen KH, Blendon RJ, Epstein AM. The Impact Of State Policies On ACA Applications And Enrollment Among Low-Income Adults In Arkansas, Kentucky, And Texas. Health Aff (Millwood). 2015 Jun;34 (6):1010–8.
Metadata
Title
Geographic variation in access among adults with kidney disease: evidence from medical expenditure panel survey, 2002–2011
Authors
Mukoso N. Ozieh
Kinfe G. Bishu
Rebekah J. Walker
Jennifer A. Campbell
Leonard E. Egede
Publication date
01-12-2016
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2016
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-016-1844-1

Other articles of this Issue 1/2016

BMC Health Services Research 1/2016 Go to the issue