| Literature DB >> 25608983 |
Jae-Woo Choi1,2, Jong-Won Choi3, Jae-Hyun Kim4,5, Ki-Bong Yoo6,7, Eun-Cheol Park8,9,10.
Abstract
BACKGROUND: The prevalence and economic burden of chronic diseases are increasing worldwide. Nevertheless, little information is available on catastrophic health expenditures (CHE) associated with chronic diseases in Korea. This study explored the burden of household out-of-pocket health expenditures among the Korean population for different chronic diseases.Entities:
Mesh:
Year: 2015 PMID: 25608983 PMCID: PMC4307618 DOI: 10.1186/s12913-014-0675-1
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
General characteristics and catastrophic health expenditure
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| Sex of head of household | <.0001 | |||||
| Male | 188 | 3.2 | 5,752 | 96.8 | 5,940 | |
| Female | 60 | 5.6 | 1,006 | 94.4 | 1,066 | |
| Age of head of household (years) | <.0001 | |||||
| 20-39 | 6 | 0.4 | 1,458 | 99.6 | 1,464 | |
| 40-59 | 42 | 1.3 | 3,216 | 98.7 | 3,258 | |
| 60-79 | 183 | 8.5 | 1,980 | 91.5 | 2,163 | |
| Economic level of household | <.0001 | |||||
| Third quintile | 4 | 0.2 | 2,332 | 99.8 | 2,336 | |
| Second quintile | 17 | 0.7 | 2,392 | 99.3 | 2,409 | |
| First quintile | 227 | 10.0 | 2,034 | 90.0 | 2,261 | |
| Education level of head of household | <.0001 | |||||
| Less than elementary school | 123 | 8.1 | 1,399 | 91.9 | 1,522 | |
| Middle school | 41 | 4.9 | 803 | 95.1 | 844 | |
| High school | 53 | 2.2 | 2,357 | 97.8 | 2,410 | |
| Greater than college | 31 | 1.4 | 2,199 | 98.6 | 2,230 | |
| Head of household’s job type | <.0001 | |||||
| Regular employee | 44 | 1.7 | 2,587 | 98.3 | 2,631 | |
| Temporary employee | 46 | 3.6 | 1,234 | 96.4 | 1,280 | |
| Employer or owner/operator | 122 | 4.9 | 2,357 | 95.1 | 2,479 | |
| Unpaid family worker | 2 | 3.6 | 53 | 96.4 | 55 | |
| Household composition | <.0001 | |||||
| Adult household (15–624 years old) | 206 | 3.3 | 6,098 | 96.7 | 6,304 | |
| Senior citizen who lives alone | 24 | 15.4 | 131 | 84.6 | 155 | |
| Elderly household | 11 | 27.5 | 29 | 72.5 | 40 | |
| Type of medical insurance | 0.6761 | |||||
| Self-employed or employees | 230 | 3.5 | 6,355 | 96.5 | 6,585 | |
| Medical aid beneficiaries | 14 | 4.1 | 323 | 95.9 | 337 | |
| Uninsured, self-pay | 4 | 4.8 | 80 | 95.2 | 84 | |
| Chronic disease present in household? | <.0001 | |||||
| Yes | 242 | 4.6 | 4,996 | 95.4 | 5,238 | |
| No | 6 | 0.3 | 1,761 | 99.7 | 1,767 | |
| Total | 248 | 3.5 | 6,758 | 96.5 | 7,006 | |
Factors associated with catastrophic health expenditure occurrence
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| Sex of head of household | ||||
| Male | 1.000 | 1.000 | ||
| Female | 1.825 | (1.354–2.459) | 0.495 | (0.340–0.721) |
| Age of head of household | ||||
| 20–39 | 1.000 | 1.000 | ||
| 40–59 | 0.286 | (0.200–0.408) | 0.667 | (0.453–0.982) |
| 60–79 | 1.989 | (1.495–2.645) | 1.062 | (0.749–1.507) |
| Economic level of household | ||||
| Third quintile | 1.000 | 1.000 | ||
| Second quintile | 4.143 | (1.392-12.332) | 1.555 | (1.540-1.570) |
| First quintile | 65.064 | (24.167-175.164) | 16.375 | (16.322-16.429) |
| Education level of head of household | ||||
| Greater than college | 1.000 | 1.000 | ||
| Less than elementary school | 6.237 | (4.182–9.300) | 0.808 | (0.501–1.304) |
| Middle school | 3.622 | (2.256–5.815) | 0.796 | (0.470–1.348) |
| High school | 1.595 | (1.020–2.494) | 0.734 | (0.452–1.191) |
| Head of household’s job type | ||||
| Regular employee | 1.000 | 1.000 | ||
| Temporary employee | 1.488 | (1.028–2.155) | 0.842 | (0.564–1.259)) |
| Employer/owner operator | 2.066 | (1.548–2.759) | 0.975 | (0.705–1.348) |
| Unpaid family worker | 1.507 | (0.361–6.293) | 0.552 | (0.126–2.411) |
| Household composition | ||||
| Adult household (15–64 years old) | 1.000 | 1.000 | ||
| Senior citizen who lives alone | 5.677 | (3.598–8.957) | 1.720 | (0.955–3.098) |
| Elderly household | 11.750 | (5.793–23.836) | 2.775 | (1.238–6.219) |
| Type of medical insurance | ||||
| Self-employed or employees | 1.000 | 1.000 | ||
| Medical aid beneficiaries | 1.198 | (0.690–2.078) | 0.283 | (0.160–0.502) |
| Uninsured, self-pay | 1.383 | (0.503–3.806) | 0.494 | (0.165–1.476) |
| Chronic disease present in household? | ||||
| No | 1.000 | 1.000 | ||
| Yes | 14.223 | (6.316–32.030) | 7.524 | (3.285–17.233) |
Catastrophic health expenditure and chronic disease
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| Neoplasm | <.0010 | |||||
| No | 18 | 0.5 | 3,304 | 99.5 | 3,322 | |
| Yes | 230 | 6.2 | 3,454 | 93.8 | 3,684 | |
| Cerebrovascular disease | <.0010 | |||||
| No | 212 | 3.2 | 6,515 | 96.8 | 6,727 | |
| Yes | 36 | 12.9 | 243 | 87.1 | 279 | |
| Ischemic heart disease | 0.0021 | |||||
| No | 226 | 3.3 | 6,592 | 96.7 | 6,818 | |
| Yes | 22 | 11.7 | 166 | 88.3 | 188 | |
| Diabetes mellitus | <.0010 | |||||
| No | 163 | 2.7 | 5,958 | 97.3 | 6,121 | |
| Yes | 85 | 9.6 | 800 | 90.4 | 885 | |
| Arthritis | <.0010 | |||||
| No | 104 | 2.1 | 4,832 | 97.9 | 4,936 | |
| Yes | 144 | 7.0 | 1,926 | 93.0 | 2,070 | |
| Chronic kidney disease | 0.1137 | |||||
| No | 239 | 3.4 | 6,729 | 96.6 | 6,972 | |
| Yes | 9 | 23.6 | 29 | 76.4 | 34 | |
| Hypertension | <.0010 | |||||
| No | 90 | 1.9 | 4,753 | 98.1 | 4,843 | |
| Yes | 158 | 7.3 | 2,005 | 92.7 | 2,163 | |
Associations between chronic diseases and catastrophic health expenditure
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| Neoplasm | ||||
| No | 1.000 | 1.000 | ||
| Yes | 8.557 | (4.774–15.336) | 2.034 | (1.049–3.946) |
| Cerebrovascular disease | ||||
| No | 1.000 | 1.000 | ||
| Yes | 3.098 | (2.175–4.413) | 1.959 | (1.311–2.925) |
| Ischemic heart disease | ||||
| No | 1.000 | 1.000 | ||
| Yes | 2.953 | (1.916–4.550) | 1.460 | (0.906–2.352) |
| Diabetes mellitus | ||||
| No | 1.000 | 1.000 | ||
| Yes | 2.586 | (2.052–3.260) | 1.700 | (1.297–2.228) |
| Arthritis | ||||
| No | 1.000 | 1.000 | ||
| Yes | 1.563 | (1.396–1.751) | 1.119 | (0.963–1.299) |
| Chronic kidney disease | ||||
| No | 1.000 | 1.000 | ||
| Yes | 3.177 | (1.271–7.941) | 3.236 | (1.116–9.382) |
| Hypertension | ||||
| No | 1.000 | 1.000 | ||
| Yes | 2.022 | (1.690–2.419) | 1.143 | (0.912–1.432) |
aOdds ratio obtained using multiple logistic regression models adjusted for head of household’s sex, age, economic level, level of education, and type of job, as well as household composition and type of medical insurance.
Association between membership in the Korean medical aid program and catastrophic expenditure occurrence among households in the lowest income quintile
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| Yes | 1.000 | 1.000 | 1.000 | 1.000 | ||||
| No | 6.377 | (2.193–18.542) | 4.313 | (2.111–8.812) | 3.522 | (1.896–6.542) | 3.370 | (1.902–5.971) |
aOR: Odds ratio obtained using multiple logistic regression models adjusted for head of household’s sex, age, level of education, and type of job.