Abstract
Context
Disease management programs are increasingly used to manage costs of patients with chronic disease.
Objective
We sought to examine the clinical characteristics and measure the health care expenditures of patients most likely to be targeted by disease management programs.
Design
Retrospective analysis of prospectively obtained data.
Setting
A general medicine practice with both faculty and residents at an urban academic medical center.
Participants
Five thousand eight hundred sixty-one patients enrolled in the practice for at least 1 year.
Main Outcomes
Annual cost of diseases targeted by disease management.
Measurements
Patients’ clinical and demographic information were collected from a computer system used to manage patients. Data included diagnostic information, medications, and resource usage over 1 year. We looked at 10 common diseases targeted by disease management programs.
Results
Unadjusted annual median costs for chronic diseases ranged between $1,100 and $1,500. Congestive heart failure ($1,500), stroke ($1,500), diabetes ($1,500), and cancer ($1,400) were the most expensive. As comorbidity increased, annual adjusted costs increased exponentially. Those with comorbidity scores of 2 or more accounted for 26% of the population but 50% of the overall costs.
Conclusions
Costs for individual chronic conditions vary within a relatively narrow range. However, the costs for patients with multiple coexisting medical conditions increase rapidly. Reducing health care costs will require focusing on patients with multiple comorbid diseases, not just single diseases. The overwhelming impact of comorbidity on costs raises significant concerns about the potential ability of disease management programs to limit the costs of care.
Similar content being viewed by others
References
Anderson G, Horvath J. The growing burden of chronic disease in America. Public Health Rep. 2004;119(3):263–70.
Bodenheimer T. Disease management—promises and pitfalls. N Engl J Med. 1999;340(15):1202–5.
Coons SJ. Disease management: definitions and explorations of issues. Clin Ther. 1996;18(6):1321–26.
Ellrodt G, Cook DJ, Lee J, Cho M, Hunt D, Weingarten S. Evidence-based disease management. JAMA. 1997;27(20):1687–92.
Draugalis JR, Coons SJ. Introduction: disease management-separating fact from fantasy. Clin Ther. 1996;18(6):1318–20.
Villagra V. Strategies to control costs and quality: A focus on outcomes research for disease management. Med Care. 2004;42:III-24–III-30.
Foote SM. Population-based disease management under fee-for-service Medicare. Health Aff (Millwood). 2003;Suppl Web Exclusives:W3-342–356.
Wong MD, Hollenberg JP, Charlson ME. A comparison of clinical performance of primary care and traditional internal medicine residents. Med Care. 1999;37(8):773–84.
Luber MP, Meyers BS, Williams-Rusco G, et al. Depression and service utilization in elderly primary care patients. Am J Geriatr Psychiatry. 2001;9(2):169–76.
Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83.
Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45(6):613–9.
R Development Core Team (2004). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org.d environment for statistical computing.
Bertakis KD. Gender differences in the utilization of health care services. J Fam Pract. 2000;49:147–52.
Cleary PD, Mechanic D, Greenley JR. Sex differences in medical care utilization: an empirical investigation. J Health Soc Behav. 1982;23:106–19.
Ray GT, Collin F, Lieu T, et al. The cost of health conditions in a health maintenance organization. Med Care Res Rev. 2000;57(1):92–109.
Yu W, Ravelo A, Wagner TH, et al. Prevalence and costs of chronic conditions in the VA health care system. Med Care Res Rev. 2003;60(3 Suppl):146S–67S.
Fishman P, Von Korff M, Lozano P, Hecht J. Chronic care costs in managed care. Health Aff (Millwood). 1997;16(3):239–47.
Mechanic R, Coleman K, Dobson A. Teaching hospital costs: implications for academic missions in a competitive market. JAMA. 1998;280(11):1015–9.
Taylor DH, Jr, Whellan DJ, Sloan FA. Effects of admission to a teaching hospital on the cost and quality of care for Medicare beneficiaries. N Engl J Med. 1999;340(4):293–9.
Wennberg J, Gittelsohn A. Small area variations in health care delivery. Science. 1973;182(117):1102–8.
Chassin MR, Kosecoff J, Park RE, et al. Does inappropriate use explain geographic variations in the use of health care services? A study of three procedures. JAMA. 1987;258(18):2533–7.
Hoffman C, Rice D, Sung HY. Persons with chronic conditions. Their prevalence and costs. JAMA. 1996;276(18):1473–9.
Tougaard L, Krone T, Sorknaes A, Ellegaard H. Economic benefits of teaching patients with chronic obstructive pulmonary disease about their illness. The PASTMA Group. Lancet. 1992;339:1517–20.
West JA, Miller NH, Parker KM, et al. A comprehensive management system for heart failure improves clinical outcomes and reduces medical resource utilization. Am J Cardiol. 1997;79:58–63.
Rich MW, Beckham V, Wittenberg C, Leven CL, Freedland KE, Carney RM. A multidisciplinary intervention to prevent the readmission of elderly patients with congestive heart failure. N Engl J Med. 1995;333:1190–5.
Chodosh J, Morton SC, Mojica W, et al. Meta-analysis: chronic disease self-management programs for older adults. Ann Intern Med. 2005;143(6):427–38.
Rothman RL, DeWalt DA, Malone R, et al. Influence of patient literacy on the effectiveness of a primary care-based diabetes disease management program. JAMA. 2004;292(14):1711–6.
Galbreath AD, Krasuski RA, Smith B, et al. Long-term healthcare and cost outcomes of disease management in a large, randomized, community-based population with heart failure. Circulation. 2004;110(23):3518–26.
Sullivan SD, Lee TA, Blough DK, et al. A multisite randomized trial of the effects of physician education and organizational change in chronic asthma care: cost-effectiveness analysis of the Pediatric Asthma Care Patient Outcomes Research Team II (PAC-PORT II). Arch Pediatr Adolesc Med. 2005;159(5):428–34.
Ofman JJ, Badamgarav E, Henning JM, et al. Does disease management improve clinical and economic outcomes in patients with chronic diseases? A systematic review. Am J Medicine. 2004;117:182–92.
DeBusk RF, Miller NH, Parker KM, et al. Care management for low-risk patients with heart failure. A randomized, controlled trial. Ann Intern Med. 2004;141(8):606–13.
Wagner EH. Deconstructing heart failure disease management. Ann Intern Med. 2004;141(8):644–6.
Boyd C, Darer J, Boult C, Fried LP, Boult L, Wu AW. Clinical practice guidelines and quality of care for older patients with multiple comorbid diseases. JAMA. 2005;294:716–24.
Bodenheimer T, Lorig K, Holman H, Grumbach K. Patient self-management of chronic disease in primary care. JAMA. 2002;288(19):2469–75.
Lorig KR, Sobel DS, Ritter PL, Laurent D, Hobbs M. Effect of a self-management program on patients with chronic disease. Eff Clin Pract. 2001;4(6):256–62.
Lorig KR, Sobel DS, Stewart AL, et al. Evidence suggesting that a chronic disease self-management program can improve health status while reducing hospitalization: a randomized trial. Med Care. 1999;37(1):5–14.
Lorig KR, Ritter P, Stewart AL, et al. Chronic disease self-management program: 2-year health status and health care utilization outcomes. Med Care. 2001;39(11):1217–23.
Conflict of Interest
None disclose
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Charlson, M., Charlson, R.E., Briggs, W. et al. Can Disease Management Target Patients Most Likely to Generate High Costs? The Impact of Comorbidity. J GEN INTERN MED 22, 464–469 (2007). https://doi.org/10.1007/s11606-007-0130-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11606-007-0130-7