Analysis of the Effect of the Elderly’s Labor Status on Care Cost at the End of Life

• Published in: Inquiry (Chicago) Vol. 56; pp. 1 - 6
• Main Authors: Kim, Eun-Jung, Yoon, Seok-Jun, Kim, Young-Eun, Go, Dunsol, Jung, Yunsun, Radnaabaatar, Munkhzul
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA Sage Publications, Inc 2019; SAGE Publications; SAGE PUBLICATIONS, INC; SAGE Publishing
• Subjects: Age Factors; Aged; Aging; Chronic illnesses; Cohort Studies; Costs; Data; Data Interpretation, Statistical; Death & dying; Employers; Employment; Employment - economics; Female; Health care expenditures; Health care industry; Health insurance; Humans; Income distribution; Male; Mortality; National health insurance; Older people; Original Research; Republic of Korea; Socioeconomic Factors; Socioeconomic status; Terminal Care - economics; Workers; Republic of Korea; aging society; end-of-life care cost; labor status; proximity to death; elderly
• ISSN: 0046-9580; 1945-7243
• DOI: 10.1177/0046958019838358

This study quantitatively analyzes the effects of employment patterns at the time of death of the elderly on the utilization of medical care before death using the cohort data from the National Health Insurance Corporation, controlling mortality to obtain more accurate results. Gender was coded as 0 for males and 1 for females, and average monthly household income was taken as a logarithm to approximate a normal distribution. Care cost at the end of life was defined as the sum of the national health insurance contributions and statutory self-contributions. To measure proximity to death, deceased elderly were divided by the period from last hospital visit to death (except any hospital visit at time of death). We distinguished regular workers, irregular workers, self-employed and employers, unpaid family workers, and unemployed. The data used in this study are sample cohort data from the National Health Insurance Corporation. We examined the relationships between variables through 4 models using negative binomial regression. The effects of employment status on health status were analyzed and adjusted for demographic characteristics, socioeconomic status, and proximity to death. As the dependent variable, medical expenses were taken for 1 year before death. In this study, care costs at end of life were higher when children were economically independent and when the respondent was more educated, had high economic level, and had high average monthly household income. In addition, employment security also had a significant impact on care cost at end of life: Irregular workers spent significantly less than regular workers. The fact that care cost at end of life is differentiated according to employment status suggests that individuals’ health exists within a social context, which may also constrain it: There is a risk that people’s health status will become determined by socioeconomic status.