2004
DOI: 10.1111/j.1524-4733.2004.72334.x
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Out-of-Pocket Health-Care Expenditures among Older Americans with Cancer

Abstract: Cancer treatment in older individuals results in significant OOPE, mainly for prescription medications and home care services. Economic evaluations and public policies aimed at cancer prevention and treatment should take note of the significant OOPE made by older Americans with cancer.

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Cited by 120 publications
(94 citation statements)
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“…According to statistics of the NHI claims, the inpatient care performance for patients diagnosed with neoplasm (C00-D48) increased as follows: the number of patients increased from 331,055 in 2004 to 506,311 in 2010, the LOS increased from 11,393,760 in 2004 to 19,628,508 455,943/2,900 3,742,432/3,269 3,947,331/3,854 3,810,849/3,988 3,736,173/4,021 3,848,233/3,490 3,882,147/3,041 4,068,954/3,519 Considering that the subjective economic burden for medical expenditures is larger for elderly individuals, the unemployed, and those with a higher proportion of medical expenditures among household expenditures (Choi et al, 2011), patients' subjective economic burden is especially great for cancer patients. The medical expenses incurred by cancer that are the responsibility of patients are relatively high compared to the expenses caused by other diseases (Langa et al, 2004;Wagner and Lacey, 2004). A co-payment without consideration of individual income along with medical expenditures caused by uncovered services is a significant burden, especially for the elderly and low income patients with cancer, and this could influence the application of appropriate treatment methods and outcomes (Kim, 2007;Mathews et al, 2009;Neumann et al, 2010).…”
Section: Discussionmentioning
confidence: 99%
“…According to statistics of the NHI claims, the inpatient care performance for patients diagnosed with neoplasm (C00-D48) increased as follows: the number of patients increased from 331,055 in 2004 to 506,311 in 2010, the LOS increased from 11,393,760 in 2004 to 19,628,508 455,943/2,900 3,742,432/3,269 3,947,331/3,854 3,810,849/3,988 3,736,173/4,021 3,848,233/3,490 3,882,147/3,041 4,068,954/3,519 Considering that the subjective economic burden for medical expenditures is larger for elderly individuals, the unemployed, and those with a higher proportion of medical expenditures among household expenditures (Choi et al, 2011), patients' subjective economic burden is especially great for cancer patients. The medical expenses incurred by cancer that are the responsibility of patients are relatively high compared to the expenses caused by other diseases (Langa et al, 2004;Wagner and Lacey, 2004). A co-payment without consideration of individual income along with medical expenditures caused by uncovered services is a significant burden, especially for the elderly and low income patients with cancer, and this could influence the application of appropriate treatment methods and outcomes (Kim, 2007;Mathews et al, 2009;Neumann et al, 2010).…”
Section: Discussionmentioning
confidence: 99%
“…In addition to time costs associated with informal caregiving for cancer patients, families may also experience other financial burdens related to out of pocket costs of medical care 30,31 and reduced participation in the workforce. 32 Because health insurance is commonly tied to employment in the United States, changes in employment may introduce additional challenges to the families of cancer patients.…”
Section: Discussionmentioning
confidence: 99%
“…10,11 Although several studies have focused on OOP spending in the Medicare beneficiary population [12][13][14][15][16][17] and have examined access to care among cancer survivors broadly defined, 18,19 to the best of our knowledge only 1 study to date has examined OOP spending for beneficiaries with cancer, but this relied on self-reported cancer diagnosis and treatment. 20 Furthermore, to our knowledge there is no information regarding OOP spending among Medicare beneficiaries with newly diagnosed cancer. These patients and their physicians are in the difficult process of making key treatment decisions, and there is little information concerning OOP spending associated with treatment in the context of the beneficiary's overall health care use and financial resources.…”
Section: Introductionmentioning
confidence: 99%