End-of-life medical treatment choices: Do survival chances and out-of-pocket costs matter?

Medical Decision Making

Volumn 28, Issue 4, 2008, Pages 511-523

  Chao, Li Wei ^a   Pagán, José A ^a,b   Soldo, Beth J ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF TEXAS PAN AMERICAN   (United States)

Author keywords

End of life care; Heuristics and biases; Medicare; Oncology; Willingness to pay

Indexed keywords

ADULT; ARTICLE; DEMOGRAPHY; HEALTH CARE COST; HUMAN; MAJOR CLINICAL STUDY; MEDICAL DECISION MAKING; MEDICARE; PATIENT RIGHT; POVERTY; PUBLIC OPINION; SPOUSE; STATISTICAL ANALYSIS; SURVIVAL RATE; TERMINAL CARE; TREATMENT REFUSAL; WILLINGNESS TO PAY;

AGED; CHOICE BEHAVIOR; FEMALE; FINANCING, PERSONAL; HEALTH CARE COSTS; HUMANS; LIFE EXPECTANCY; MALE; MEDICARE; NEOPLASMS; SOCIOECONOMIC FACTORS; TERMINAL CARE; UNITED STATES;

EID: 47249102947     PISSN: 0272989X     EISSN: 1552681X     Source Type: Journal    
DOI: 10.1177/0272989X07312713     Document Type: Article

References (26)

1. DeNavas- Walt C., Proctor BD, Lee CH Income, Poverty, and Health Insurance Coverage in the United States: 2005. US Census Bureau, Current Population Reports, P60-231. Washington, DC: Government Printing Office ; 2006.
2. McGarry K., Schoeni RF Widow(er) poverty and out-of-pocket medical expenditures near the end of life. J Gerontol B Psychol Sci Soc Sci. 2005 ; 60: S160-8.
3. Fan JX, Zick CD The economic burden of health care, funeral, and burial expenditures at the end of life. J Consum Aff. 2004 ; 38: 35-55.
4. Zick CD, Fan JX, Chang K. Impending widowhood and health care spending. Soc Sci Res. 2004 ; 33: 538-55.
5. Morrison RS Health care system factors affecting end-of-life care. J Palliat Med. 2005 ; 8 (Suppl 1). S79-87.
6. Rabow MW, Hauser JM, Adams J. Supporting family caregivers at the end of life: ''they don't know what they don't know. '' JAMA. 2004 ; 291: 483-91.
7. Schulz R., Beach SR Caregiving as a risk factor for mortality: the Caregiver Health Effects Study. JAMA. 1999 ; 282: 2215-9.
8. Heeringa SG, Connor JH Technical Description of the Health and Retirement Survey Sample Design. Ann Arbor Institute for Social Research, University of Michigan, Ann Arbor ; 1995.
9. Heeringa SG Technical Description of the Asset and Health Dynamics (AHEAD) Survey Sample Design. Ann Arbor: Institute for Social Research, University of Michigan, Ann Arbor ; 1995.
10. Health and Retirement Study, 1995 AHEAD and 1996 HRS, public use dataset. Produced and distributed by the University of Michigan with funding from the National Institute on Aging (grant number NIA U01AG009740). Ann Arbor, MI, 1995, 1996. Available from: http://hrsonline.isr.umich.edu
11. Armstrong K., Schwartz JS, Fitzgerald G., Putt M., Ubel PA Effect of framing as gain versus loss on understanding and hypothetical treatment choices: survival and mortality curves. Med Decis Making. 2002 ; 22: 76-83.
12. Lehmann EL Nonparametrics: Statistical Methods Based on Ranks. San Francisco: Holden-Day ; 1975.
13. Franses PH, Cramer M. On the number of categories in an ordered regression model. Erasmus University Rotterdam Econometric Institute Report 2002-15. Available from: http://www.2.eur.nl/WebDOC/doc/econometrie/ fewec020020501105232.pdf
14. Cramer JS, Ridder G. Pooling states in the multinomial logit model. J Econometrics. 1991 ; 47: 267-72.
15. Ai C., Norton EC Interaction terms in logit and probit models. Econ Lett. 2003 ; 80: 123-9.
16. Stokes ME, Davis CS, Koch GG Categorical Data Analysis Using the SAS System. 2 nd ed. Cary, NC: SAS Publishing, BBU Press and John Wiley Sons ; 2000.
17. Wills CE, Holmes-Rovner M. Patient comprehension of information for shared treatment decision making: state of the art and future directions. Patient Educ Couns. 2003 ; 50: 285-90.
18. Moxey A., O'Connell D., McGettigan P., Henry D. Describing treatment effects to patients: How they are expressed makes a difference. J Gen Intern Med. 2003 ; 18: 948-59.
19. McGettigan P., Sly K., O'Connell D., Hill S., Henry D. The effects of information framing on the practices of physicians. J Gen Intern Med. 1999 ; 14: 633-42.
20. Pauly MV The economics of moral hazard: comment. Am Econ Rev. 1968 ; 58: 531-7.
21. Byock IR End-of-life care: a public health crisis and an opportunity for managed care. Am J Manag Care. 2001 ; 7: 1123-32.
22. Searight HR, Gafford J. Cultural diversity at the end of life: issues and guidelines for family physicians. Am Fam Physician. 2005 ; 71: 515-22.
23. Konig M., Zweifel P. Willingness-to-pay against dementia: effects of altruism between patients and their spouse caregivers. Working paper, University of Zurich, September 2004.
24. Heidenreich PA, Shlipak MG, Geppert J., McClellan M. Racial and sex differences in refusal of coronary angiography. Am J Med. 2002 ; 113: 200-7.
25. Fagerlin A., Ditto PH, Hawkins NA, Schneider CE, Smucker WD The use of advance directives in end-of-life decision making. Am Behav Sci. 2002 ; 46: 268-83.
26. Stewart JM, O'shea E., Donaldson C., Shackley P. Do ordering effects matter in willingness-to-pay studies of health care? J Health Econ. 2002 ; 21: 585-99.