OBJECTIVES: This study is conducted to estimate the cost paid by the public suffering from disease possibly caused by chemical and to examine the effect on public health. METHODS: Cost-benefit analysis is an important factor in analysis and decision-making and is an important policy decision tool in many countries. Cost-of-illness (COI), a kind of scale-based analysis method, estimates the potential value lost as a result of illness as a monetary unit and calculates the cost in terms of direct, indirect and psychological costs. This study estimates direct medical costs, transportation fees for hospitalization and outpatient treatment, and nursing fees through a number of patients suffering from disease caused by chemicals in order to analyze COI, taking into account the cost of productivity loss as an indirect cost. RESULTS: The total yearly cost of the diseases studied in 2012 is calculated as 77 million Korean won (KRW) per person. The direct and indirect costs being 52 million KRW and 23 million KRW, respectively. Within the total cost of illness, mental and behavioral disability costs amounted to 16 million KRW, relevant blood immunological parameters costs were 7.4 million KRW, and disease of the nervous system costs were 6.7 million KRW. CONCLUSIONS: This study reports on a survey conducted by experts regarding diseases possibly caused by chemicals and estimates the cost for the general public. The results can be used to formulate a basic report for a social-economic evaluation of the permitted use of chemicals and limits of usage.
Cost of Illness ; Cost-Benefit Analysis ; Efficiency ; Fees and Charges ; Hospitalization ; Humans ; Nervous System ; Nursing ; Outpatients ; Public Health ; Transportation

OBJECTIVES: To protect public health from risk, the Minister of Environment in Korea legislated an act concerning the registration and evaluation of chemical substances. In this study, we estimated the value of a statistical life (VSL) of carcinogenic chemicals to evaluate the socioeconomic analysis in Korea. METHODS: The estimation of the health benefit can be calculated through an individual's VSL and willingness to pay (WTP). To estimate the VSL and WTP, we used a contingent valuation method through a web-based survey. RESULTS: The survey is conducted with 1434 people living in Seoul and six large cities. An analysis of the survey is essential to review the distribution of the characteristics of the target population. The statistically significant variables affecting the WTP are location, age, household income, quality of life. Through the review of data, we secured statistical validity. The WTP was estimated as 41205 Korean won (KRW)/person, and the estimated VSL appeared as 796 million KRW/person. CONCLUSIONS: There is a case in which the amount of statistical life value is estimated in connection with domestic environmental policy, fine dust, etc. However, there are no cases of evaluation for chemical. The utilization of this result is possible for conducting other study with chemicals.
Dust ; Environmental Policy ; Family Characteristics ; Health Services Needs and Demand ; Insurance Benefits ; Korea* ; Public Health ; Quality of Life ; Seoul

PURPOSE: The purpose of the study was to examine the relationships among anxiety, depression, self-esteem, and quality of life in thyroid cancer patients with thyroidectomy and to identify factors influencing their quality of life. METHODS: A cross-sectional survey was conducted to measure anxiety, depression, self-esteem, and quality of life of 129 thyroid cancer patients between 2011 and 2012. The data were analyzed with t-test, one-way ANOVA, post-hoc comparison (Duncan), Pearson's correlation coefficients, and multiple regression analysis. RESULTS: The mean age of the participants was 49.8, and most of them were female and married. The mean time since diagnosis of the participants was two years. The mean score for quality of life was 74 out of 108. Quality of life was significantly different by gender, employment and the stage of cancer at diagnosis. Anxiety, depression and self-esteem were all correlated to quality of life. As a result of stepwise multiple regression analysis, depression, self-esteem, and gender were discovered to account for 58.1% of the variance in quality of life. Depression was the most influential factor. CONCLUSION: The results of the study indicate that depression and self-esteem should be integrated when developing psychosocial intervention to promote quality of life among thyroid cancer patients.
Anxiety ; Cross-Sectional Studies ; Depression ; Diagnosis ; Employment ; Female ; Humans ; Quality of Life* ; Thyroid Neoplasms* ; Thyroidectomy*

Purpose: Cancer patients need ongoing care from healthcare providers to maintain continuity of treatment. Much research has been conducted on digital health services for providing continuous management of discharged cancer patients. This review aimed to identify nurse-led digital health interventions for discharged cancer patients. Methods: This scoping review was conducted using JBI methodology. The population was post-discharge adult cancer patients, the concept was nurse-led digital health intervention, and the context was open. Databases including PubMed, Embase, CINAHL, Cochrane Library, KoreaMed, and RISS were searched.Data were summarized about the general characteristics of the article, participants, interventions, and outcomes. Results: Fifty-seven studies were included, with ten studies that focused on the elderly. One third of the participants included in this review had colorectal cancer (32.7%). Telephone was the most frequently used format, while the others were applications, the internet, and telemonitoring. The nurses’ main roles consisted of counseling, symptom monitoring, and education. Conclusion The development of nurseled digital health intervention for the elderly will be necessary, and studies using more diverse technologies will need to be conducted. Digital health interventions for post-discharge colorectal cancer patients could be applied in practice. Nurses should provide emotional support while providing digital health interventions.

Purpose: The authors aimed to identify the factors affecting interhospital transfer (“transfer”) of severe pediatric patients who visited to an emergency department (ED). Methods: Using the Korean National ED Information System, we analyzed high-acuity patients aged 18 years or younger who visited EDs of local or regional emergency centers nationwide. The high acuity was defined as a Korean Triage and Acuity Scale 1-2. To investigate the factors associated with transfer, a multilevel modeling was selected, examining independent variables at both individual- and hospital-levels with transfer as a dependent variable. Results: A model consisting of variables at individual- and hospital-levels showed the factors as follows: mode of arrival(self-transport: odds ratio, 0.48 [95% confidence interval, 0.38-0.61]; other ambulances: 0.41 [0.24-0.71]; compared with firehouse ambulance), visit at 18:00-07:59 (0.75 [0.64-0.88]), intentional injury (1.59 [1.03-2.47]; compared with non-injury), decreased level of consciousness (drowsy: 1.94 [1.33-2.84]; stupor: 4.08 [2.99-5.57]; coma: 1.81 [1.26-2.60]; compared with alert), severe illness diagnosis (1.49 [1.12-1.98]), the number of all beds in EDs (1.02 [1.01-1.04]), and acceptance for treatment (0.92 [0.87-0.98]; with increment of 1%). Conclusion This study confirms that both individual-level and hospital-level factors affect the transfer risk of severe pediatric patients in EDs. The study suggests the needs for direct transportation to specialized pediatric treatment facilities, and concentrated support for the pediatric emergency medical centers and pediatric trauma centers.

Purpose: The authors aimed to identify the factors affecting interhospital transfer (“transfer”) of severe pediatric patients who visited to an emergency department (ED). Methods: Using the Korean National ED Information System, we analyzed high-acuity patients aged 18 years or younger who visited EDs of local or regional emergency centers nationwide. The high acuity was defined as a Korean Triage and Acuity Scale 1-2. To investigate the factors associated with transfer, a multilevel modeling was selected, examining independent variables at both individual- and hospital-levels with transfer as a dependent variable. Results: A model consisting of variables at individual- and hospital-levels showed the factors as follows: mode of arrival(self-transport: odds ratio, 0.48 [95% confidence interval, 0.38-0.61]; other ambulances: 0.41 [0.24-0.71]; compared with firehouse ambulance), visit at 18:00-07:59 (0.75 [0.64-0.88]), intentional injury (1.59 [1.03-2.47]; compared with non-injury), decreased level of consciousness (drowsy: 1.94 [1.33-2.84]; stupor: 4.08 [2.99-5.57]; coma: 1.81 [1.26-2.60]; compared with alert), severe illness diagnosis (1.49 [1.12-1.98]), the number of all beds in EDs (1.02 [1.01-1.04]), and acceptance for treatment (0.92 [0.87-0.98]; with increment of 1%). Conclusion This study confirms that both individual-level and hospital-level factors affect the transfer risk of severe pediatric patients in EDs. The study suggests the needs for direct transportation to specialized pediatric treatment facilities, and concentrated support for the pediatric emergency medical centers and pediatric trauma centers.

Purpose: The authors aimed to identify the factors affecting interhospital transfer (“transfer”) of severe pediatric patients who visited to an emergency department (ED). Methods: Using the Korean National ED Information System, we analyzed high-acuity patients aged 18 years or younger who visited EDs of local or regional emergency centers nationwide. The high acuity was defined as a Korean Triage and Acuity Scale 1-2. To investigate the factors associated with transfer, a multilevel modeling was selected, examining independent variables at both individual- and hospital-levels with transfer as a dependent variable. Results: A model consisting of variables at individual- and hospital-levels showed the factors as follows: mode of arrival(self-transport: odds ratio, 0.48 [95% confidence interval, 0.38-0.61]; other ambulances: 0.41 [0.24-0.71]; compared with firehouse ambulance), visit at 18:00-07:59 (0.75 [0.64-0.88]), intentional injury (1.59 [1.03-2.47]; compared with non-injury), decreased level of consciousness (drowsy: 1.94 [1.33-2.84]; stupor: 4.08 [2.99-5.57]; coma: 1.81 [1.26-2.60]; compared with alert), severe illness diagnosis (1.49 [1.12-1.98]), the number of all beds in EDs (1.02 [1.01-1.04]), and acceptance for treatment (0.92 [0.87-0.98]; with increment of 1%). Conclusion This study confirms that both individual-level and hospital-level factors affect the transfer risk of severe pediatric patients in EDs. The study suggests the needs for direct transportation to specialized pediatric treatment facilities, and concentrated support for the pediatric emergency medical centers and pediatric trauma centers.

Purpose: The authors aimed to identify the factors affecting interhospital transfer (“transfer”) of severe pediatric patients who visited to an emergency department (ED). Methods: Using the Korean National ED Information System, we analyzed high-acuity patients aged 18 years or younger who visited EDs of local or regional emergency centers nationwide. The high acuity was defined as a Korean Triage and Acuity Scale 1-2. To investigate the factors associated with transfer, a multilevel modeling was selected, examining independent variables at both individual- and hospital-levels with transfer as a dependent variable. Results: A model consisting of variables at individual- and hospital-levels showed the factors as follows: mode of arrival(self-transport: odds ratio, 0.48 [95% confidence interval, 0.38-0.61]; other ambulances: 0.41 [0.24-0.71]; compared with firehouse ambulance), visit at 18:00-07:59 (0.75 [0.64-0.88]), intentional injury (1.59 [1.03-2.47]; compared with non-injury), decreased level of consciousness (drowsy: 1.94 [1.33-2.84]; stupor: 4.08 [2.99-5.57]; coma: 1.81 [1.26-2.60]; compared with alert), severe illness diagnosis (1.49 [1.12-1.98]), the number of all beds in EDs (1.02 [1.01-1.04]), and acceptance for treatment (0.92 [0.87-0.98]; with increment of 1%). Conclusion This study confirms that both individual-level and hospital-level factors affect the transfer risk of severe pediatric patients in EDs. The study suggests the needs for direct transportation to specialized pediatric treatment facilities, and concentrated support for the pediatric emergency medical centers and pediatric trauma centers.

Recent investigations on familial thoracic aortic aneurysm and dissection (TAAD) identified several genetic variants. Meanwhile, intracranial vasculopathy in familial TAAD has been scarcely reported. We report a case of a young man with Marfanoid habitus and familial TAAD carrying MFAP5, c.472C>T variant. He presented with recurrent thunderclap headache and multifocal intracranial vasculopathy, which is predominantly suggestive of reversible cerebral vasoconstriction syndrome. While the role of MFAP5 in vasculopathy requires clarification, we propose its haploinsufficiency may contribute to both TAAD and intracranial stenosis, highlighting a potential risk of cerebrovascular disease in familial TAAD.

Recent investigations on familial thoracic aortic aneurysm and dissection (TAAD) identified several genetic variants. Meanwhile, intracranial vasculopathy in familial TAAD has been scarcely reported. We report a case of a young man with Marfanoid habitus and familial TAAD carrying MFAP5, c.472C>T variant. He presented with recurrent thunderclap headache and multifocal intracranial vasculopathy, which is predominantly suggestive of reversible cerebral vasoconstriction syndrome. While the role of MFAP5 in vasculopathy requires clarification, we propose its haploinsufficiency may contribute to both TAAD and intracranial stenosis, highlighting a potential risk of cerebrovascular disease in familial TAAD.