Osong Public Health and Research Perspectives

Original Articles

Characteristics of Inpatients Who Survive Suicide Attempts: Sang Mi Kim, Hyun-Sook Lee; Osong Public Health Res Perspect. 2019;10(1):32-38. Published online February 28, 2019; DOI: https://doi.org/10.24171/j.phrp.2019.10.1.07

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Objectives

The purpose of this study was to analyze the characteristics and factors affecting the survival of inpatients admitted following a suicide attempt.

Methods

A total of 3,095 cases retrieved from the Korean National Hospital Discharge In-depth Injury Survey data (from 2011 to 2015) were grouped according to survival and death and analyzed using descriptive statistics chi-square and logistic regression analysis.

Results

The following factors had statistically significant risks on reducing survival: female (OR = 2.352, p < 0.001), 40–59 years old (OR = 0.606, p = 0.014), over 60 years old (OR = 0.186, p < 0.001), poisoning (OR = 0.474, p = 0.009), hanging (OR = 0.031, p < 0.001), jumping (OR = 0.144, p < 0.001), conflicts with family (OR = 2.851, p < 0.001), physical diseases (OR = 1.687, p = 0.046), mental health problems (OR = 2.693, p < 0.001), financial problems (OR = 3.314, p = 0.002), 2014 (OR = 2.498, p = < 0.001) and 2015 (OR = 2.942, p = 0.005).

Conclusion

The survival group that had a history of attempted suicide (high-risk suicide group), should be further characterized. It is necessary to identify the suicide methods and risk factors for suicide prevention management policies and to continuously expand the management policy according to these characteristics.

Citations

Citations to this article as recorded by

Patterns and characteristics of visits to psychiatric emergency departments: a three-year data study in China
Youping Wang, Xida Wang, Mingfeng Bi, Penglin Mou, Ruizhi Zhang, Cuiling Zhang, Shuyun Li, Miaoling Jiang, Lin Mi, Zezhi Li
European Archives of Psychiatry and Clinical Neuro.2024;[Epub] CrossRef
Factors Affecting Inpatients’ Mortality through Intentional Self-Harm at In-Hospitals in South Korea
Sulki Choi, Sangmi Kim, Hyunsook Lee
International Journal of Environmental Research an.2023; 20(4): 3095. CrossRef
The economic burden of adolescent internet addiction: A Korean health cost case study
Robert W. Mead, Edward Nall
The Social Science Journal.2023; : 1. CrossRef
Loss to follow-up in a population-wide brief contact intervention to prevent suicide attempts - The VigilanS program, France
Larissa Djembi Fossi, Christophe Debien, Anne-Laure Demarty, Guillaume Vaiva, Antoine Messiah, Xenia Gonda
PLOS ONE.2022; 17(3): e0263379. CrossRef

Comparative Analysis of the Trends in Medical Utilization of Cancer Inpatients in Korea: Hyun-Ju Lee, Sung-Soo Kim; Osong Public Health Res Perspect. 2017;8(5):342-350. Published online October 31, 2017; DOI: https://doi.org/10.24171/j.phrp.2017.8.5.08

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Abstract PDF

Objectives

Cancer has attracted worldwide attention. The incidence and prevalence are increasing, and it is the main cause of death. The purpose of this study was to identify the characteristics of hospitalized cancer patients.

Methods

This study is a secondary data study using the Korean National Hospital Discharge In-depth Injury Survey Data conducted annually by the Korea Centers for Disease Control and Prevention. Using these data, we extracted inpatients who principal diagnosis is cancer for nine years from 2005 to 2013.

Results

According to the analysis, the annual trend of cancer inpatients is steadily increasing. In 2025, it is expected to increase to about 670,000 inpatients. A cancer diagnosis created a change in medical utilization depending on the characteristics of patients and hospital. Men are more at risk of cancer than women. The number of hospital beds and hospital days were inversely proportional to cancer inpatients. There was also a difference in the equity of medical utilization by region. Other cancer management policies should be based on sex.

Conclusion

Populations between the ages of 45 and 64 years should be a priority in cancer policy. Because of the long-term hospitalization of patients with death as the outcome, a terminal cancer patient care facility is needed. These conclusions can provide a basis for various health policies.

Citations

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Health-related quality of life by veterans RAND 12 and healthcare resource utilization in cancer patients with sleep disorders: insights from the Medical Expenditure Panel Survey
Yuan Kao, Ying-Jia Lin, Shih-Feng Weng, Jhi-Joung Wang, I-Chen Lee, Chien-Cheng Huang
Supportive Care in Cancer.2024;[Epub] CrossRef

Factors associated with health services utilization between the years 2010 and 2012 in Korea: using Andersen's Behavioral model: Han-Kyoul Kim, Munjae Lee; Osong Public Health Res Perspect. 2016;7(1):18-25. Published online February 28, 2016; DOI: https://doi.org/10.1016/j.phrp.2015.11.007

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Abstract PDF

Objectives
This study aimed to examine the factors associated with health services utilization using Andersen's behavioral model.
Methods
We collected Korea Health Panel data between the years 2010 and 2012 from the consortium of the National Health Insurance Service and the Korea Institute for Health and Social Affairs, and analyzed the data to determine the outpatients and inpatients of health services utilization.
Results
Health services utilization was more significantly explained by predisposing and need factors than enabling factors. The outpatients were examined more specifically; sex, age, and marital status as predisposing factors, and chronic illness as a need factor were the variables that had significant effects on health-services-utilization experience. The inpatients were examined more specifically: sex, age, and marital status in predisposing factors; education level, economic activities, and insurance type in enabling factors; and chronic illness and disability status in need factors were the significant variables having greater effects on health-services-utilization experience.
Conclusion
This study suggests the practical implications for providing health services for outpatients and inpatients. Moreover, verifying the general characteristics of outpatients and inpatients by focusing on their health services utilization provides the baseline data for establishing health service policies and programs with regard to the recently increasing interest in health services.

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The Impact of Emergency Room Utilization by Depression Patients on Medical Treatment Expense in Korea: Hyun Sook Lee; Osong Public Health Res Perspect. 2013;4(5):240-245. Published online October 31, 2013; DOI: https://doi.org/10.1016/j.phrp.2013.09.007

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Abstract PDF

Objectives
To investigate the determinants of total medical expense for depression patients admitted through the emergency room (ER).
Methods
Data were selected from the Korean National Health Insurance sample data for 2009. SPSS version 18 was used for the statistical analysis such as descriptive analysis, correlation analysis, and multiple regression analysis. Data included 1203 cases admitted through the ER with ICD-10 codes (F31–F39).
Results
In the multiple regression analysis, significant variables affecting total payment were gender (p < 0.001), age (p < 0.001), main illness (p < 0.001), course of admission to the ER (p < 0.05), and length of stay (p < 0.001).
Conclusion
It is necessary to build a long-term program and system for high-risk depression groups.

Citations

Citations to this article as recorded by

The economic burden of adolescent internet addiction: A Korean health cost case study
Robert W. Mead, Edward Nall
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Towards Actualizing the Value Potential of Korea Health Insurance Review and Assessment (HIRA) Data as a Resource for Health Research: Strengths, Limitations, Applications, and Strategies for Optimal Use of HIRA Data
Jee-Ae Kim, Seokjun Yoon, Log-Young Kim, Dong-Sook Kim
Journal of Korean Medical Science.2017; 32(5): 718. CrossRef
A Comparative Study on Total Payment of Mental and Behavioral Disorders Patients Admitted through the Emergency Room: Focusing on Main & Sub Sick
Hyun-Sik Choi, Hyun-Sook Lee
The Journal of the Korea Contents Association.2014; 14(10): 562. CrossRef

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