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    노인의 사망 전 6개월 간 의료비 결정 요인 = The Determinants or Influencing the Medical Expenditures for the Elderly during the Last 6 Months of Life

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    https://www.riss.kr/link?id=A106981142

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This study was conducted to examine both medical expenditures for the elderly during the last 6 months of life and the determinants of influencing the medical expenditures. The data were collected from 301 medical beneficiaries old than age 65 in Seoul metropolitan city who were dead from 1 Jul 2001 by 31 Dec 2001. The statistical methods used for the analysis to look at the determinants of influencing the total medical expenditures and medical insurance costs were hierarchical multiple regression.
    In order to find out determinants of influencing the total medical expenditures during the last 6 months of life, each variable groups were added to the regression model in each stage. In the first stage which only decedents variables was included, R<sup>2</sup> of multiple regression was around 0.18. In the second stage which major carer’s personal characteristics variables were added, R<sup>2</sup> of multiple regression increased by around 0.02. In the final stage which major carer’s awareness variables were added, R<sup>2</sup> of multiple regression increased by around 0.02 and the age of decedents, income of decedents, the type of illness of decedents, complementary and alternative medicine expenditure, monthly income of family, major carer's awareness level were statistically significant factors respectively.
    The analysis to explore determinants of influencing the medical insurance costs during the last 6 months of life was also carried out in the same method, above mentioned. In the first stage which only decedents variables was included, R<sup>2</sup> of multiple regression was around 0.15. In the second stage which major carer’s personal characteristics variables were added, R<sup>2</sup> of multiple regression increased by around 0.06. In the final stage which major carer's awareness variables were added, R<sup>2</sup> of multiple regression decreased by around 0.03 and the age of decedents, income of decedents, the type of illness of decedents, were statistically significant factors respectively.
    Decedents variables was found out as the most influencing determinants for the total medical expenditures and medical insurance costs during the last 6 months of life.
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    This study was conducted to examine both medical expenditures for the elderly during the last 6 months of life and the determinants of influencing the medical expenditures. The data were collected from 301 medical beneficiaries old than age 65 in Seou...

    This study was conducted to examine both medical expenditures for the elderly during the last 6 months of life and the determinants of influencing the medical expenditures. The data were collected from 301 medical beneficiaries old than age 65 in Seoul metropolitan city who were dead from 1 Jul 2001 by 31 Dec 2001. The statistical methods used for the analysis to look at the determinants of influencing the total medical expenditures and medical insurance costs were hierarchical multiple regression.
    In order to find out determinants of influencing the total medical expenditures during the last 6 months of life, each variable groups were added to the regression model in each stage. In the first stage which only decedents variables was included, R<sup>2</sup> of multiple regression was around 0.18. In the second stage which major carer’s personal characteristics variables were added, R<sup>2</sup> of multiple regression increased by around 0.02. In the final stage which major carer’s awareness variables were added, R<sup>2</sup> of multiple regression increased by around 0.02 and the age of decedents, income of decedents, the type of illness of decedents, complementary and alternative medicine expenditure, monthly income of family, major carer's awareness level were statistically significant factors respectively.
    The analysis to explore determinants of influencing the medical insurance costs during the last 6 months of life was also carried out in the same method, above mentioned. In the first stage which only decedents variables was included, R<sup>2</sup> of multiple regression was around 0.15. In the second stage which major carer’s personal characteristics variables were added, R<sup>2</sup> of multiple regression increased by around 0.06. In the final stage which major carer's awareness variables were added, R<sup>2</sup> of multiple regression decreased by around 0.03 and the age of decedents, income of decedents, the type of illness of decedents, were statistically significant factors respectively.
    Decedents variables was found out as the most influencing determinants for the total medical expenditures and medical insurance costs during the last 6 months of life.

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