TY - JOUR
T1 - Understanding How Out-of-Pocket Expenses, Treatment Value, and Patient Characteristics Influence Treatment Choices
AU - Wong, Yu Ning
AU - Hamilton, Olivia
AU - Egleston, Brian
AU - Salador, Kevin
AU - Murphy, Camara
AU - Meropol, Neal J.
PY - 2010
Y1 - 2010
N2 - Purpose. Cost sharing, intended to control the "overuse" of health care resources, may also reduce use of necessary services. The influence of cost on the treatment choices of patients with life-threatening illness, such as cancer, is unknown. Methods. A convenience sample of patients undergoing surveillance following curative treatment for localized cancer completed a paper survey that included three scenarios to elicit the maximum copayment they would be willing to pay for better treatment outcomes. Scenario A described a treatment for a curable cancer in terms of recurrence risk. Scenarios B andCdescribed treatments for noncurable cancer in terms of the 2-year survival probability and median life expectancy. Results. The sample (n {box drawings double horizontal} 60) was 78% female, 83% aged <65 years, and 58% college graduates. Thirteen percent reported making financial sacrifices to pay for treatment. Patients were willing to pay higher copayments for more effective treatments (p<.05 for all three scenarios). In scenario B, patients who were employed demonstrated a greater willingness to pay (WTP) (odds ratio [OR], 12.6; 95% confidence interval [CI], 2.0 - 80.4), when controlling for efficacy. In scenario C, college graduates showed greater WTP (OR, 5.0; 95% CI, 1.2-20.9) and patients who reported previous financial sacrifices showed lower WTP (OR, 0.2; 95% CI, 0.04 - 0.6). Conclusion. This pilot study suggests that patients may be less willing to pay high copayments for treatments with modest benefit. Even among this relatively young, affluent, and educated population, demographic variables were related to WTP. Larger studies in more diverse populations should be conducted to better understand how cost may influence treatment decisions and cancer treatment outcomes.
AB - Purpose. Cost sharing, intended to control the "overuse" of health care resources, may also reduce use of necessary services. The influence of cost on the treatment choices of patients with life-threatening illness, such as cancer, is unknown. Methods. A convenience sample of patients undergoing surveillance following curative treatment for localized cancer completed a paper survey that included three scenarios to elicit the maximum copayment they would be willing to pay for better treatment outcomes. Scenario A described a treatment for a curable cancer in terms of recurrence risk. Scenarios B andCdescribed treatments for noncurable cancer in terms of the 2-year survival probability and median life expectancy. Results. The sample (n {box drawings double horizontal} 60) was 78% female, 83% aged <65 years, and 58% college graduates. Thirteen percent reported making financial sacrifices to pay for treatment. Patients were willing to pay higher copayments for more effective treatments (p<.05 for all three scenarios). In scenario B, patients who were employed demonstrated a greater willingness to pay (WTP) (odds ratio [OR], 12.6; 95% confidence interval [CI], 2.0 - 80.4), when controlling for efficacy. In scenario C, college graduates showed greater WTP (OR, 5.0; 95% CI, 1.2-20.9) and patients who reported previous financial sacrifices showed lower WTP (OR, 0.2; 95% CI, 0.04 - 0.6). Conclusion. This pilot study suggests that patients may be less willing to pay high copayments for treatments with modest benefit. Even among this relatively young, affluent, and educated population, demographic variables were related to WTP. Larger studies in more diverse populations should be conducted to better understand how cost may influence treatment decisions and cancer treatment outcomes.
KW - Adult
KW - Aged
KW - Aged, 80 and over
KW - Choice Behavior
KW - Cost-Benefit Analysis
KW - Female
KW - Financing, Personal
KW - Health Care Costs
KW - Humans
KW - Male
KW - Middle Aged
KW - Neoplasms/economics
KW - Patient Satisfaction/economics
KW - Quality-Adjusted Life Years
KW - Treatment Outcome
UR - http://www.scopus.com/inward/record.url?scp=77954963593&partnerID=8YFLogxK
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=purepublist2023&SrcAuth=WosAPI&KeyUT=WOS:000279113300005&DestLinkType=FullRecord&DestApp=WOS
U2 - 10.1634/theoncologist.2009-0307
DO - 10.1634/theoncologist.2009-0307
M3 - Article
C2 - 20495218
SN - 1083-7159
VL - 15
SP - 566
EP - 576
JO - Oncologist
JF - Oncologist
IS - 6
ER -