• Industrial Engineering and Management Systems
• /
• v.14 no.1
• /
• pp.104-110
• /
• 2015

Every year governments spend their national budget on public health in order to reduce financial burden of individuals on health. Although it has been widely believed that the increase of public expenditure on health decreases private health expenditure, it has not been proved by analysis with real data. For better understanding, we conducted an empirical study on the real data of 17 OECD countries-Australia, Austria, Canada, Denmark, Finland, Germany, Iceland, Ireland, Japan, Korea, New Zealand, Norway, Portugal, Spain, Sweden, the United Kingdom, and the United States. The panel Granger-causality test is used to verify the cause-and-effect relationship between the two expenditures. As a result, public expenditure on health has a 3 to 4 year-lagged negative effect on private health expenditure in the cases of the 16 countries except for the United States.

• The Korean Journal of Health Service Management
• /
• v.11 no.3
• /
• pp.51-64
• /
• 2017

Objectives : This study examined the effect of private health insurance on medical care utilization by subscription type. Methods : The data used were the six waves of the Korea Health Panel (2009-2014), and 16,187 persons were the subjects of the analysis. We performed a panel regression with a fixed effects model. Results : Indemnity private health insurance was positively related to the number of physician visits, number of admissions, and total length of stays. However, fixed-benefit private health insurance was not related to medical care utilization. Conclusions : The result of this study, which shows the difference by subscription type in the effect of private health insurance on medical care utilization, suggests that continuous monitoring of indemnity private health insurance is needed in the future.

• Safety and Health at Work
• /
• v.9 no.4
• /
• pp.462-467
• /
• 2018

Background: This study was conducted to investigate the effects of work on medical expenditures by the elderly. Methods: Data pertaining to individuals aged 65 or older collected by the Korean Health Panel 2008-2013 were used. The effects of work on medical expenditures were analyzed in a panel tobit model adjusted for several variables of demographic factors, socioeconomic factors, and health factors for health care. Data were also analyzed based on age groups (65-74, $75{\leq}$), type of work (waged or self-employed), and working time (daytime work or night time work). Results: Among the elderly older than 65 years, 34-37% were workers. Work among the elderly reduced medical expenditures relative to nonworking elderly. Specifically, medical expenditures were lower in individuals older than 75 years, as well as among those who were self-employed insured and had medical aid insurance and those who exercised. However, medical expenditures were higher among females, married individuals, those with a higher household income, and those with a chronic disease. Elderly wageworkers showed reduced medical expenditures than nonworking elderly and elderly daytime workers did. Conclusion: The elderly population's work, especially wage work and daytime work, reduced medical expenditures relative to no work. These results provide valuable information for policymakers by indicating that work was associated with lower medical expenditures than no work. If elderly work is to be encouraged, it is necessary to provide a variety of high-quality wage work.

• Child Health Nursing Research
• /
• v.27 no.4
• /
• pp.328-338
• /
• 2021

Purpose: This study aimed to identify the factors influencing positive subjective health awareness of middle school-age multicultural adolescents in Korea. Methods: This study used data from the fourth to sixth waves of the Multicultural Adolescents Panel Study conducted by the National Youth Policy Institute. In this study, a panel logit model analysis was performed using the Eviews 8.0 program (p<.050). Results: Socioeconomic status (r=.02, t=2.13, p=.033), body satisfaction (r=.71, t=1.97, p=.048), and depression (r=-.74, t=2.35, p=.018) influenced positive subjective health awareness in multicultural adolescents. When multicultural characteristics were entered into a statistical model with environmental and personal characteristics, multicultural characteristics did not have a significant influence on positive subjective health awareness. Conclusion: Environmental, personal, and multicultural characteristics were related to positive subjective health awareness in multicultural adolescents; thus, an integrated approach considering those variables is recommended. Nursing interventions and educational programs are needed to improve the psychological status of multicultural adolescents and reduce prejudice about them. In addition, nurses need to be sensitive to multicultural characteristics and the developmental characteristics of multicultural adolescents.

• Journal of Preventive Medicine and Public Health
• /
• v.48 no.6
• /
• pp.319-329
• /
• 2015

Objectives: Parental socioeconomic status (SES) exerts a substantial influence on children's health. The purpose of this study was to examine factors determining children's private health insurance (PHI) enrolment and children's healthcare utilization according to PHI coverage. Methods: Korea Health Panel data from 2011 (n=3085) was used to explore the factors determining PHI enrolment in children younger than 15 years of age. A logit model contained health status and SES variables for both children and parents. A fixed effects model identified factors influencing healthcare utilization in children aged 10 years or younger, using 2008 to 2011 panel data (n=9084). Results: The factors determining children's PHI enrolment included children's age and sex and parents' educational status, employment status, and household income quintile. PHI exerted a significant effect on outpatient cost, inpatient cost, and number of admissions. Number of outpatient visits and total length of stay were not affected by PHI status. The interaction between PHI and age group increased outpatient cost significantly. Conclusions: Children's PHI enrolment was influenced by parents' SES, while healthcare utilization was affected by health and disability status. Therefore, the results of this study suggest disparities in healthcare utilization according to PHI enrollment.

• Journal of Korean Academic Society of Home Health Care Nursing
• /
• v.23 no.1
• /
• pp.34-44
• /
• 2016

Purpose: This study investigated the factors associated with suicidal ideation in the Korean Echo Generation using 2012 Korea Health Panel Data. Methods: The 2012 Korea Health Panel Data were collected from February 2012 to July 2012 and included 2,303 people who responded to a question asking whether they had experienced suicidal ideation. The data were analyzed by chi-square and multiple logistic regression test using SPSS 22.0. Results: The rate of suicidal ideation was 4.2% in the Echo Generation. Factors associated with suicidal ideation in the Echo Generation revealed that the following variables increased the rate of suicidal ideation: sex(odd ratio: 2.39, CI: 1.39-4.09), education(odd ratio: 1.95, CI: 1.08-3.52), depression(odd ratio: 12.06, CI: 6.92-21.03), frustrating experience(odd ratio: 2.52, CI: 1.22-5.20), anxiety about the future(odd ratio: 14.58, CI: 3.20-66.41), self-rated health status(odd ratio: 2.39, CI: 1.39-4.09 and odd ratio: 6.41, CI 2.87-14.33). Conclusion: This study provides a preliminary examination of the factors associated with suicidal ideation in the Echo Generation. A more careful examination may be warranted.

• Safety and Health at Work
• /
• v.13 no.1
• /
• pp.17-22
• /
• 2022

Background: This study aimed to identify work-related risk factors, including long working hours and night/shift work, for unmet health care need using data of a representative panel of Korean adults. Methods: Associations between work-related factors and unmet health care need were analyzed using data of 3,440 participants (10,320 observations) from the 2011-2013 Korean Health Panel Study. A generalized estimating equation was used for the analysis of repeated measures. Results: The prevalence of unmet health care was 16.6%. After adjusting sex, age, socioeconomic status, work characteristics, and working more than 60 hours per week (odds ratio [OR]: 1.43, 95% confidence interval [CI]: 1.23-1.65) or 50-59 hours per week (OR: 1.26, 95% CI: 1.08-1.46) instead of 40-49 hours per week and night/shift work (OR: 1.27, 95% CI: 1.06-1.51) were associated with unmet health care need. Conclusion: Long working hours and night/shift work are risk factors for unmet health care need among the Korean working population.

• The Korean Journal of Health Service Management
• /
• v.8 no.2
• /
• pp.101-113
• /
• 2014

This paper examined the effects of private health insurance(PHI) on the health care utilization among the Korean. The used data was the three waves of Korea Health Panel (2008, 2009, 2010), and the number of subjects was 13,951 persons. Authors employed two-stage least square panel model where the instrument variables for controlling for endogeneity of PHI were number of insurance planner per 100,000 in resident area and whether subject worked on financial profession. The results showed that healthcare expenditure of outpatients who purchasing PHI was higher than that of outpatients without PHI, and there was no difference in admission between the two groups. This article recommended the Korean government to monitor the effects of PHI on the health care utilization in order to improve the efficiency of health care finance.

• Journal of Korean Society of Occupational and Environmental Hygiene
• /
• v.33 no.2
• /
• pp.145-155
• /
• 2023

Objectives: A fit test panel is needed to identify the fit performance of a respirator and its face seal. This is a criterion for selecting subjects that can represent the facial characteristics of users. Although anthropometry data has been developed for people in United States and China it is not yet present in Korea. This study aimed to develop a Korean fit test panel and test headform. Methods: For the 7th and 8th waves of the Size Korea anthropometry data, facial measurements of 11,429 people aged 15 to 69 years were used for analysis. PCA and bivariate panel were classified using the ISO16976-2:2022(E) anthropometrics analysis method. Based on this result, a static headform was developemed and a fit test chamber was constructed. Results: Of the 11,429 Korean people used for principal component analysis, 11,300 were included in the ellipse, marking an acceptance rate of 98.87% on PCA panel. The face types were classified into five types. Among them, a large, medium, and small static headform were printed using a 3D printer. In addition, 10,985 people (96.12%) were included in the bivariate panel based on face length and face width. The y-axis (face length) boundary was 97.87 to 134.59 mm, and the x-axis (face width) boundary was 120.75 to 158.23 mm. Conclusions: Compared to the ISO analysis, the Korean principal component was narrower in the width item (PC1) and longer in the length item (PC2). For the future, it is necessary to conduct a fit test using the developed headform and chamber device to confirm the usefulness of this Korean test panel. Therefore, this study is considered valuable as basic research for Korean test panels.

• Journal of the Korean Data and Information Science Society
• /
• v.28 no.1
• /
• pp.195-206
• /
• 2017

The purpose of this study was to identify factors affecting quality of health care. Methods: The data were derived from the 2011-2013 Korea health panel survey (beta version 1.0). The data were analyzed using SPSS 21.0 with descriptive statistics, ${\chi}^2$-test, and multiple logistic regression analysis. In general characteristics, common factors influencing the quality of health care were age, marital status, education level, and subjective health status. In variables related to health care utilization, unmet healthcare needs, and limitation of dental care utilization were the significant factors affecting quality of health care. The results of this study show that various factors influence quality of health care. These findings can be used to develop strategies to improve health care.