Skip to main content
Top
Published in: Journal of General Internal Medicine 1/2014

01-01-2014 | Original Research

The Impact of Financial Barriers on Access to Care, Quality of Care and Vascular Morbidity Among Patients with Diabetes and Coronary Heart Disease

Authors: Puja B. Parikh, MD, Jie Yang, PhD, Steven Leigh, BS, Kunchok Dorjee, MD, Roopali Parikh, MD, Nicholas Sakellarios, MD, Hongdao Meng, PhD, David L. Brown, MD

Published in: Journal of General Internal Medicine | Issue 1/2014

Login to get access

ABSTRACT

BACKGROUND

The prevalence and consequences of financial barriers to health care among patients with multiple chronic diseases are poorly understood.

OBJECTIVE

We sought to assess the prevalence of self-reported financial barriers to health care among individuals with diabetes and coronary heart disease (CHD) and to determine their association with access to care, quality of care and clinical outcomes.

DESIGN

The 2007 Centers for Disease Control Behavioral Risk Factor Surveillance Survey.

PARTICIPANTS

Diabetic patients with CHD.

MAIN MEASURES

Financial barriers to health care were defined by a self-reported time in the past 12 months when the respondent needed to see a doctor but could not because of cost. The primary clinical outcome was vascular morbidity—a composite of stroke, retinopathy, nonhealing foot sores or bilateral foot amputations.

KEY RESULTS

Among the 11,274 diabetics with CHD, 1,541 (13.7 %) reported financial barriers to health care. Compared to individuals without financial barriers, those with financial barriers had significantly reduced rates of medical assessments within the past 2 years, hemoglobin (Hgb) A1C measurements in the past year, cholesterol measurements at any time, eye and foot examinations within the past year, diabetic education, antihypertensive treatment, aspirin use and a higher prevalence of vascular morbidity. In multivariable analyses, financial barriers to health care were independently associated with reduced odds of medical checkups (Odds Ratio [OR], 0.61; 95 % Confidence Intervals [CI], 0.55–0.67), Hgb A1C measurement (OR, 0.85; 95 % CI, 0.77–0.94), cholesterol measurement (OR, 0.76; 95 % CI, 0.67–0.86), eye (OR, 0.85; 95 % CI, 0.79–0.92) and foot (OR, 0.92; 95 % CI, 0.84–1.00) examinations, diabetic education (OR, 0.93; 95 % CI, 0.87–0.99), aspirin use (OR, 0.88; 95 % CI, 0.81–0.96) and increased odds of vascular morbidity (OR, 1.23; 95 % CI, 1.14–1.33).

CONCLUSIONS

In diabetic adults with CHD, financial barriers to health care were associated with impaired access to medical care, inferior quality of care and greater vascular morbidity. Eliminating financial barriers and adherence to guideline-based recommendations may improve the health of individuals with multiple chronic diseases.
Literature
1.
go back to reference DeNavas-Walt C, Proctor BD, Smith JC. Income, Poverty, and Health Insurance Coverage in the United States: 2011, in Current Population Reports, P60-243, U.S. Census Bureau, Editor. Washington, DC 2012. DeNavas-Walt C, Proctor BD, Smith JC. Income, Poverty, and Health Insurance Coverage in the United States: 2011, in Current Population Reports, P60-243, U.S. Census Bureau, Editor. Washington, DC 2012.
2.
go back to reference Wilper AP, Woolhandler S, Lasser KE, McCormick D, Bor DH, Himmelstein DU. A national study of chronic disease prevalence and access to care in uninsured U.S. adults. Ann Intern Med. 2008;149(3):170–6.PubMedCrossRef Wilper AP, Woolhandler S, Lasser KE, McCormick D, Bor DH, Himmelstein DU. A national study of chronic disease prevalence and access to care in uninsured U.S. adults. Ann Intern Med. 2008;149(3):170–6.PubMedCrossRef
3.
go back to reference Schoen C, Doty MM, Robertson RH, Collins SR. Affordable Care Act reforms could reduce the number of uninsured US adults by 70 percent. Health Affairs. 2011;30(9):1762–71.PubMedCrossRef Schoen C, Doty MM, Robertson RH, Collins SR. Affordable Care Act reforms could reduce the number of uninsured US adults by 70 percent. Health Affairs. 2011;30(9):1762–71.PubMedCrossRef
5.
go back to reference DeVoe JE, Fryer GE, Phillips R, Green L. Receipt of preventive care among adults: insurance status and usual source of care. Am J Public Health. 2003;93(5):786–91.PubMedCrossRef DeVoe JE, Fryer GE, Phillips R, Green L. Receipt of preventive care among adults: insurance status and usual source of care. Am J Public Health. 2003;93(5):786–91.PubMedCrossRef
6.
go back to reference Wilper AP, Woolhandler S, Lasser KE, McCormick D, Bor DH, Himmelstein DU. Hypertension, diabetes, and elevated cholesterol among insured and uninsured U.S. adults. Health Affairs (Millwood). 2009;28(6):w1151–9.CrossRef Wilper AP, Woolhandler S, Lasser KE, McCormick D, Bor DH, Himmelstein DU. Hypertension, diabetes, and elevated cholesterol among insured and uninsured U.S. adults. Health Affairs (Millwood). 2009;28(6):w1151–9.CrossRef
7.
go back to reference Piette JD, Wagner TH, Potter MB, Schillinger D. Health insurance status, cost-related medication underuse, and outcomes among diabetes patients in three systems of care. Medical Care. 2004;42(2):102–9.PubMedCrossRef Piette JD, Wagner TH, Potter MB, Schillinger D. Health insurance status, cost-related medication underuse, and outcomes among diabetes patients in three systems of care. Medical Care. 2004;42(2):102–9.PubMedCrossRef
8.
go back to reference Wilper AP, Woolhandler S, Lasser KE, McCormick D, Bor DH, Himmelstein DU. Health insurance and mortality in US adults. Am J Public Health. 2009;99(12):2289–95.PubMedCrossRef Wilper AP, Woolhandler S, Lasser KE, McCormick D, Bor DH, Himmelstein DU. Health insurance and mortality in US adults. Am J Public Health. 2009;99(12):2289–95.PubMedCrossRef
9.
go back to reference Fowler-Brown A, Corble-Smith G, Garrett J, Lurie N. Risk of cardiovascular events and death—does insurance matter? J Gen Intern Med. 2007;22(4):502–7.PubMedCentralPubMedCrossRef Fowler-Brown A, Corble-Smith G, Garrett J, Lurie N. Risk of cardiovascular events and death—does insurance matter? J Gen Intern Med. 2007;22(4):502–7.PubMedCentralPubMedCrossRef
10.
go back to reference Rosen H, Saleh F, Lipsitz S, Rogers SO, Gawande AA. Downwardly mobile. The accidental cost of being uninsured. Arch Surg. 2009;144(11):1006–11.PubMedCrossRef Rosen H, Saleh F, Lipsitz S, Rogers SO, Gawande AA. Downwardly mobile. The accidental cost of being uninsured. Arch Surg. 2009;144(11):1006–11.PubMedCrossRef
12.
go back to reference Smith SC Jr, Allen J, Blair SN, et al. AHA/ACC Guidelines for Secondary Prevention for Patients With Coronary and Other Atherosclerotic Vascular Disease: 2006 Update: Endorsed by the National Heart, Lung, and Blood Institute. J Am Coll Cardiol. 2006;47(10):2130–9.PubMedCrossRef Smith SC Jr, Allen J, Blair SN, et al. AHA/ACC Guidelines for Secondary Prevention for Patients With Coronary and Other Atherosclerotic Vascular Disease: 2006 Update: Endorsed by the National Heart, Lung, and Blood Institute. J Am Coll Cardiol. 2006;47(10):2130–9.PubMedCrossRef
13.
go back to reference American Diabetes Association. Standards of medical care in diabetes—2013. Diabetes Care. 2013;36(suppl 1):S11–66. American Diabetes Association. Standards of medical care in diabetes—2013. Diabetes Care. 2013;36(suppl 1):S11–66.
14.
go back to reference Rosengren A, Welin L, Tsipogianni A, Wilhelmsen L. Impact of cardiovascular risk factors on coronary heart disease and mortality among middle aged diabetic men. A general population study. Br Med J. 1989;299(6708):1127–31.CrossRef Rosengren A, Welin L, Tsipogianni A, Wilhelmsen L. Impact of cardiovascular risk factors on coronary heart disease and mortality among middle aged diabetic men. A general population study. Br Med J. 1989;299(6708):1127–31.CrossRef
15.
go back to reference Barrett-Connor E, Wingard DL. Sex differential in ischemic heart disease mortality in diabetes. A prospective population-based study. Am J Epidemiol. 1983;118(4):489–96.PubMed Barrett-Connor E, Wingard DL. Sex differential in ischemic heart disease mortality in diabetes. A prospective population-based study. Am J Epidemiol. 1983;118(4):489–96.PubMed
16.
go back to reference Barrett-Connor EL, Cohn BA, Wingard DL, Edelstein SL. Why is diabetes mellitus a stronger risk factor for fatal ischemic heart disease in women than men? JAMA. 1991;265(5):627–31.PubMedCrossRef Barrett-Connor EL, Cohn BA, Wingard DL, Edelstein SL. Why is diabetes mellitus a stronger risk factor for fatal ischemic heart disease in women than men? JAMA. 1991;265(5):627–31.PubMedCrossRef
18.
go back to reference Schoen C, Collins SR, Kriss JL, Doty MM. How many are underinsured? Trends among U.S. adults, 2003 and 2007. Health Affairs. 2008;27(4):w298–309.PubMedCrossRef Schoen C, Collins SR, Kriss JL, Doty MM. How many are underinsured? Trends among U.S. adults, 2003 and 2007. Health Affairs. 2008;27(4):w298–309.PubMedCrossRef
19.
go back to reference Roger VL, Go AS, Lloyd-Jones DM, et al. Heart disease and stroke statistics—2012 update: a report from the American Heart Association. Circulation. 2012;125(1):e2–220.PubMedCrossRef Roger VL, Go AS, Lloyd-Jones DM, et al. Heart disease and stroke statistics—2012 update: a report from the American Heart Association. Circulation. 2012;125(1):e2–220.PubMedCrossRef
21.
go back to reference Rahimi AR, Spertus JA, Reid KJ, Berhneim SM, Krumholz HM. Financial barriers to health care and outcomes after acute myocardial infarction. JAMA. 2007;297(10):1063–72.PubMedCrossRef Rahimi AR, Spertus JA, Reid KJ, Berhneim SM, Krumholz HM. Financial barriers to health care and outcomes after acute myocardial infarction. JAMA. 2007;297(10):1063–72.PubMedCrossRef
22.
go back to reference Karter AJ, Ferrara A, Darbinian JA, Ackerson LM, Selby JV. Self-monitoring of blood glucose: language and financial barriers in a managed care population with diabetes. Diabetes Care. 2000;23(4):477–83.PubMedCrossRef Karter AJ, Ferrara A, Darbinian JA, Ackerson LM, Selby JV. Self-monitoring of blood glucose: language and financial barriers in a managed care population with diabetes. Diabetes Care. 2000;23(4):477–83.PubMedCrossRef
23.
go back to reference Heisler M, et al. Mechanisms for racial and ethnic disparities in glycemic control in middle-aged and older Americans in the health and retirement study. Arch Intern Med. 2007;167(17):1853–60.PubMedCrossRef Heisler M, et al. Mechanisms for racial and ethnic disparities in glycemic control in middle-aged and older Americans in the health and retirement study. Arch Intern Med. 2007;167(17):1853–60.PubMedCrossRef
24.
go back to reference Lasser KE, Himmelstein DU, Woolhandler S. Access to care, health status, and health disparities in the United States and Canada: results of a cross-national population-based survey. Am J Public Health. 2006;96(7):1300–7.PubMedCrossRef Lasser KE, Himmelstein DU, Woolhandler S. Access to care, health status, and health disparities in the United States and Canada: results of a cross-national population-based survey. Am J Public Health. 2006;96(7):1300–7.PubMedCrossRef
25.
go back to reference Schneider KL, Clark MA, Rakowski W, Lapane KL. Evaluating the impact of non-response bias in the Behavioral Risk Factor Surveillance System (BRFSS). J Epidemiol Commun Health. 2012;66(4):290–5.CrossRef Schneider KL, Clark MA, Rakowski W, Lapane KL. Evaluating the impact of non-response bias in the Behavioral Risk Factor Surveillance System (BRFSS). J Epidemiol Commun Health. 2012;66(4):290–5.CrossRef
Metadata
Title
The Impact of Financial Barriers on Access to Care, Quality of Care and Vascular Morbidity Among Patients with Diabetes and Coronary Heart Disease
Authors
Puja B. Parikh, MD
Jie Yang, PhD
Steven Leigh, BS
Kunchok Dorjee, MD
Roopali Parikh, MD
Nicholas Sakellarios, MD
Hongdao Meng, PhD
David L. Brown, MD
Publication date
01-01-2014
Publisher
Springer US
Published in
Journal of General Internal Medicine / Issue 1/2014
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-013-2635-6

Other articles of this Issue 1/2014

Journal of General Internal Medicine 1/2014 Go to the issue

Healing Arts

Visiting

Clinical Practice: Exercises in Clinical Reasoning

Back Attack

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

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.