• Journal of Preventive Medicine and Public Health
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• v.55 no.5
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• pp.415-423
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• 2022

Economic evaluations in the healthcare are used to assess economic efficiency of pharmaceuticals and medical interventions such as diagnoses and medical procedures. This study introduces the main concepts of economic evaluation across its key steps: planning, outcome and cost calculation, modeling, cost-effectiveness results, uncertainty analysis, and decision-making. When planning an economic evaluation, we determine the study population, intervention, comparators, perspectives, time horizon, discount rates, and type of economic evaluation. In healthcare economic evaluations, outcomes include changes in mortality, the survival rate, life years, and quality-adjusted life years, while costs include medical, non-medical, and productivity costs. Model-based economic evaluations, including decision tree and Markov models, are mainly used to calculate the total costs and total effects. In cost-effectiveness or costutility analyses, cost-effectiveness is evaluated using the incremental cost-effectiveness ratio, which is the additional cost per one additional unit of effectiveness gained by an intervention compared with a comparator. All outcomes have uncertainties owing to limited evidence, diverse methodologies, and unexplained variation. Thus, researchers should review these uncertainties and confirm their robustness. We hope to contribute to the establishment and dissemination of economic evaluation methodologies that reflect Korean clinical and research environment and ultimately improve the rationality of healthcare policies.

• Journal of Preventive Medicine and Public Health
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• v.56 no.6
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• pp.515-522
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• 2023

Objectives: The pandemic caused by coronavirus disease 2019 (COVID-19) has exerted an unprecedented impact on the health of populations worldwide. However, the adverse health consequences of the pandemic in terms of infection and mortality rates have varied across countries. In this study, we investigate whether COVID-19 mortality rates across a group of developed nations are associated with characteristics of their healthcare systems, beyond the differential policy responses in those countries. Methods: To achieve the study objective, we distinguished healthcare systems based on the extent of healthcare decommodification. Using available daily data from 2020, 2021, and 2022, we applied quantile regression with non-additive fixed effects to estimate mortality rates across quantiles. Our analysis began prior to vaccine development (in 2020) and continued after the vaccines were introduced (throughout 2021 and part of 2022). Results: The findings indicate that higher testing rates, coupled with more stringent containment and public health measures, had a significant negative impact on the death rate in both pre-vaccination and post-vaccination models. The data from the post-vaccination model demonstrate that higher vaccination rates were associated with significant decreases in fatalities. Additionally, our research indicates that countries with healthcare systems characterized by high and medium levels of decommodification experienced lower mortality rates than those with healthcare systems involving low decommodification. Conclusions: The results of this study indicate that stronger public health infrastructure and more inclusive social protections have mitigated the severity of the pandemic's adverse health impacts, more so than emergency containment measures and social restrictions.

• Journal of Preventive Medicine and Public Health
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• v.55 no.5
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• pp.464-474
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• 2022

Objectives: We introduced the cohort studies included in the Korean Cohort Consortium (KCC), focusing on large-scale cohort studies established in Korea with a prolonged follow-up period. Moreover, we also provided projections of the follow-up and estimates of the sample size that would be necessary for big-data analyses based on pooling established cohort studies, including population-based genomic studies. Methods: We mainly focused on the characteristics of individual cohort studies from the KCC. We developed "PROFAN", a Shiny application for projecting the follow-up period to achieve a certain number of cases when pooling established cohort studies. As examples, we projected the follow-up periods for 5000 cases of gastric cancer, 2500 cases of prostate and breast cancer, and 500 cases of non-Hodgkin lymphoma. The sample sizes for sequencing-based analyses based on a 1:1 case-control study were also calculated. Results: The KCC consisted of 8 individual cohort studies, of which 3 were community-based and 5 were health screening-based cohorts. The population-based cohort studies were mainly organized by Korean government agencies and research institutes. The projected follow-up period was at least 10 years to achieve 5000 cases based on a cohort of 0.5 million participants. The mean of the minimum to maximum sample sizes for performing sequencing analyses was 5917-72 102. Conclusions: We propose an approach to establish a large-scale consortium based on the standardization and harmonization of existing cohort studies to obtain adequate statistical power with a sufficient sample size to analyze high-risk groups or rare cancer subtypes.

• Safety and Health at Work
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• v.6 no.2
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• pp.139-142
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• 2015

Background: Healthcare workers' practices regarding hepatitis B have an important effect on the control of this problem in workplaces. Methods: A questionnaire-based cross-sectional study was used to investigate the role of knowledge, cues to action, and risk perceptions as predictors of preventive behavioral intentions for hepatitis B among healthcare works in Broujen, Iran (n = 150). History of hepatitis B vaccination, hepatitis B surface antigen test, and demographic characteristics were investigated. The psychometric properties of the questionnaire were established. Results: Those who had a history of hepatitis B surface antigen test had a statistically significant higher level of risk perceptions ($30.89{\pm}4.08$ vs. $28.41{\pm}3.93$, p < 0.01) and preventive behavioral intentions ($5.05{\pm}1.43$ vs. $4.45{\pm}1.29$, p < 0.01). The mean score of cues to action was significantly correlated with age and work history (r = 0.20, p = 0.02 and r = 0.19, p = 0.02). Preventive behavioral intentions were significantly correlated with cues to action and risk perceptions but not with knowledge level. Cognitional factors were responsible for a 17% change in observed variance of preventive behavioral intentions, which was statistically significant. Conclusion: Risk perceptions were the most important determinant of preventive behavioral intentions for hepatitis B among health personnel; thus, emphasizing risk perceptions is recommended in educational programs aimed at increasing health personnel's practices regarding hepatitis B.

• Journal of agricultural medicine and community health
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• v.35 no.4
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• pp.395-404
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• 2010

Objectives: This study was conducted to investigate the relationship between vertical trust in the healthcare system and participation in routine health examinations. Method: Data from the 2008 Pusan Health Survey were analyzed for this study. Multiple logistic regression analyses were performed to investigate the influence of possible confounders (sex, age, education, monthly mean household income, horizontal trust) on participation in routine health examinations according to trust in the healthcare system. Result: In a total sample of 7,683 participants, 3,756 (48.9%) were classified as health examination participants. Respondents with high trust in the healthcare system had significantly higher odds ratios of participation, 1.17 (95% CI 1.03-1.33), after multiple adjustments. Conclusion: Vertical trust in the healthcare system was significantly associated with higher odds of participation in routine health examinations. Improvements to the healthcare system have potential for increasing participation in routine health examinations.

• Journal of Preventive Medicine and Public Health
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• v.56 no.2
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• pp.100-110
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• 2023

Qualitative research methodology has been applied with increasing frequency in various fields, including in healthcare research, where quantitative research methodology has traditionally dominated, with an empirically driven approach involving statistical analysis. Drawing upon artifacts and verbal data collected from in-depth interviews or participatory observations, qualitative research examines the comprehensive experiences of research participants who have experienced salient yet unappreciated phenomena. In this study, we review 6 representative qualitative research methodologies in terms of their characteristics and analysis methods: consensual qualitative research, phenomenological research, qualitative case study, grounded theory, photovoice, and content analysis. We mainly focus on specific aspects of data analysis and the description of results, while also providing a brief overview of each methodology's philosophical background. Furthermore, since quantitative researchers have criticized qualitative research methodology for its perceived lack of validity, we examine various validation methods of qualitative research. This review article intends to assist researchers in employing an ideal qualitative research methodology and in reviewing and evaluating qualitative research with proper standards and criteria.

• Journal of Preventive Medicine and Public Health
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• v.54 no.2
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• pp.129-136
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• 2021

Objectives: This study examined demographic factors hampering access to healthcare at hospitals and suggests policy approaches to improve healthcare management in Thailand. Methods: The data for the study were drawn from a health and welfare survey conducted by the National Statistical Office of Thailand in 2017. The population-based health and welfare survey was systematically carried out by skilled interviewers, who polled 21 519 384 individuals. The independent variables related to demographic data (age, sex, religion, marital status, education, occupation, and area of residence), chronic diseases, and health insurance coverage. The dependent variable was the degree of access to healthcare. Multiple logistic regression analysis was subsequently performed on the variables found to be significant in the univariate analysis. Results: Only 2.5% of the population did not visit a hospital when necessary for outpatient-department treatment, hospitalization, or the provision of oral care. The primary reasons people gave for not availing themselves of the services offered by government hospitals when they were ill were-in descending order of frequency-insufficient time to seek care, long hospital queues, travel inconvenience, a lack of hospital beds, unavailability of a dentist, not having someone to accompany them, and being unable to pay for the transportation costs. Multiple logistic regression analysis showed that failure to access the health services provided at hospitals was associated with demographic, educational, occupational, health welfare, and geographic factors. Conclusions: Accessibility depends not only on health and welfare benefit coverage, but also on socioeconomic factors and the degree of convenience associated with visiting a hospital.

• Journal of Preventive Medicine and Public Health
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• v.37 no.2
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• pp.141-149
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• 2004

Objectives : To evaluate the cost and proportion of complementary and alternative medicines (CAM) in the total healthcare costs among the elderly in the last 6 months of life. Methods : The care-giving families of 301 persons older than 65 years, who died between July 1st and December 31st of 2001, and were also registered in Self-Employed Health Insurance Programs in Seoul, were interviewed. Results : The cost of CAM was 1.09 million Won, which as a proportion of the total healthcare cost was 38.1%. The elderly aged between 65 and 69 year-old, male, living with their spouse, Buddhist and having cancers had higher CAM costs in an ANOVA and simple regression analysis. After controlling of various factors, age was the only significant factor associated with the cost of CAM. The elderly above 80 years old, female, bereaved and Buddhist had higher proportional CAM costs, and the elderly having cancers or cardiovascular diseases had lower proportional CAM costs in an ANOVA and simple regression analysis. After adjusting for various factors, the elderly above 85 years old, female and Buddhist had higher proportional CAM costs, and the elderly having cancers had lower proportional CAM costs. Conclusion : The very old and Buddhist, and/or the ill with no clear diagnosis, may depend more on CAM. Further research will be needed on the meaning and impact of CAM and their costs to public health and the total healthcare system.

• Journal of Preventive Medicine and Public Health
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• v.48 no.6
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• pp.265-270
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• 2015

The recent Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak has originated from a failure in the national quarantine system in the Republic of Korea as most basic role of protecting the safety and lives of its citizens. Furthermore, a number of the Korean healthcare system's weaknesses seem to have been completely exposed. The MERS-CoV outbreak can be considered a typical public health crisis in that the public was not only greatly terrorized by the actual fear of the disease, but also experienced a great impact to their daily lives, all in a short period of time. Preparedness for and an appropriate response to a public health crisis require comprehensive systematic public healthcare measures to address risks comprehensively with an all-hazards approach. Consequently, discussion regarding establishment of post-MERS-CoV improvement measures must focus on the total reform of the national quarantine system and strengthening of the public health infrastructure. In addition, the Korea Centers for Disease Control and Prevention must implement specific strategies of action including taking on the role of "control tower" in a public health emergency, training of Field Epidemic Intelligence Service officers, establishment of collaborative governance between central and local governments for infection prevention and control, strengthening the roles and capabilities of community-based public hospitals, and development of nationwide crisis communication methods.

• Informatization Policy
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• v.21 no.3
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• pp.3-32
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• 2014

Recent developments of smart phone and ICT, and explosive developments of wireless sensor area drive radical changes on traditional health care service. To accommodate the changes, many researchers have studied to expand traditional healthcare service areas including home care for independent living and public care for preventive and collaborative wellness area. This study proposes a research framework for healthcare information technology area based on Mettler and Raptis's(2012) work. Then, the study analyze the research trends in the area based on the framework. The area of monitoring patients health status at home using smart phone, providing innovative healthcare service by out-patients monitoring, and implementing preventive healthcare services are identified most active and emerging research agenda. It is expected that the research framework and implications of this study can assist future research efforts and practical utilization of healthcare information technologies.