Journal of Preventive Medicine and Public Health

Original Article

Health Impact Assessment of Free Immunization Program in Jinju City, Korea: Keon Yeop Kim, So Youn Jeon, Man Joong Jeon, Kwon Ho Lee, Sok Goo Lee, Dongjin Kim, Eunjeong Kang, Sang Geun Bae, Jinhee Kim; J Prev Med Public Health. 2012;45(4):267-275. Published online July 31, 2012; DOI: https://doi.org/10.3961/jpmph.2012.45.4.267

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Objectives

This study was conducted to assess the potential health impacts and improve the quality of the free immunization program in Jinju City by maximizing the predicted positive health gains and minimizing the negative health risks.

Methods

A steering committee was established in September 2010 to carry out the health impact assessment (HIA) and began the screening and scoping stages. In the appraisal stage, analysis of secondary data, a literature review, case studies, geographic information systems analysis, a questionnaire, and expert consultations were used. The results of the data collection and analyses were discussed during a workshop, after which recommendations were finalized in a written report.

Results

Increased access to immunization, comprehensive services provided by physicians, the strengthened role of the public health center in increasing immunization rates and services, and the ripple effect to other neighboring communities were identified as potential positive impacts. On the other hand, the program might be inaccessible to rural regions with no private clinics where there are more at-risk children, vaccine management and quality control at the clinics may be poor, and vaccines may be misused. Recommendations to maximize health gains and minimize risks were separately developed for the public health center and private clinics.

Conclusions

The HIA provided an opportunity for stakeholders to comprehensively overview the potential positive and negative impacts of the program before it was implemented. An HIA is a powerful tool that should be used when developing and implementing diverse health-related policies and programs in the community.

Summary

Citations

Citations to this article as recorded by

Cross-Sectional Study of Varicella Zoster Virus Immunity in Healthy Korean Children Assessed by Glycoprotein Enzyme-Linked Immunosorbent Assay and Fluorescent Antibody to Membrane Antigen Test
Yunhwa Kim, Ji-Young Hwang, Kyung-Min Lee, Eunsil Lee, Hosun Park
Vaccines.2021; 9(5): 492. CrossRef
Health Impact Assessments of Health Sector Proposals: An Audit and Narrative Synthesis
Nelius Wanjiku Wanjohi, Reema Harrison, Ben Harris-Roxas
International Journal of Environmental Research and Public Health.2021; 18(21): 11466. CrossRef
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Jaehun Jung, Young-Jin Ko, Young-Eun Kim, Kyungmin Huh, Byung-Joo Park, Seok-Jun Yoon
Journal of Korean Medical Science.2019;[Epub] CrossRef

English Abstract

Health Inequality Measurement in Korea Using EuroQol-5 Dimension Valuation Weights.: Hosung Shin, Dongjin Kim; J Prev Med Public Health. 2008;41(3):165-172.; DOI: https://doi.org/10.3961/jpmph.2008.41.3.165

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Abstract PDF

OBJECTIVES
Despite various government initiatives, including the expansion of national health insurance coverage, health inequality has been a key health policy issue in South Korea during the past decade. This study describes and compares the extent of the total health inequality and the income-related health inequality over time among Korean adults. METHODS: This study employs the 1998, 2001 and 2005 Korean National Health and Nutrition Examination Surveys (KNHANESs). The self-assessed health (SAH) ordinal responses, measured on a five-point scale, rescaled to cardinal values to measure the health inequalities with using interval regression. The boundaries of each threshold for the interval regression analysis were obtained from the empirical distribution of the EuroQol-5 Dimension (EQ-5D) valuation weights estimated from the 2005 KNHANES. The final model predicting the individuals' health status included age, gender, educational attainment, occupation, income, and the regional prosperity index. The concentration index was used to measure and analyze the health inequality. RESULTS: The KNHANES data showed an unequal distribution of the total health inequality in favor of the higher income groups, and this is getting worse over time (0.0327 in 1998, 0.0393 in 2001 and 0.0924 in 2005). The income-related health inequality in 2005 was 0.0278, indicating that 30.1% of the total health inequality can be attributed to income. CONCLUSIONS: The findings indicate there are health inequalities across the sociodemographic and income groups despite the recent government's efforts. Further research is warranted to investigate what potential policy actions are necessary to decrease the health inequality in Korea.

Summary

Citations

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