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ABSTRACT: This study aimed to assess vaccination coverage for novel influenza A (H1N1) in Korea using a immunization registry system as the data source. Vaccination coverage was found to be 26.1% for the total population and 54.4% for priority groups targeted by a national vaccination campaign between October 27, 2009, to March 31, 2010. The factors associated with increased coverage were rapid vaccination and free vaccination; these factors may need to be considered in future pandemics.
American journal of infection control 08/2011; 40(5):481-3. · 3.01 Impact Factor
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Boyoung Park, Yeon-Kyeng Lee,
Lisa Y Cho,
Un Yeong Go,
Jae Jeong Yang,
Seung Hyun Ma,
Bo-Youl Choi,
Moo-Sik Lee,
Jin-Seok Lee,
Eun Hwa Choi,
Hoan Jong Lee,
Sue K Park
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ABSTRACT: This study compared interview and telephone surveys to select the better method for regularly estimating nationwide vaccination coverage rates in Korea. Interview surveys using multi-stage cluster sampling and telephone surveys using stratified random sampling were conducted. Nationwide coverage rates were estimated in subjects with vaccination cards in the interview survey. The interview survey relative to the telephone survey showed a higher response rate, lower missing rate, higher validity and a less difference in vaccination coverage rates between card owners and non-owners. Primary vaccination coverage rate was greater than 90% except for the fourth dose of DTaP (diphtheria/tetanus/pertussis), the third dose of polio, and the third dose of Japanese B encephalitis (JBE). The DTaP4: Polio3: MMR1 fully vaccination rate was 62.0% and BCG1:HepB3:DTaP4:Polio3:MMR1 was 59.5%. For age-appropriate vaccination, the coverage rate was 50%-80%. We concluded that the interview survey was better than the telephone survey. These results can be applied to countries with incomplete registry and decreasing rates of landline telephone coverage due to increased cell phone usage and countries. Among mandatory vaccines, efforts to increase vaccination rate for the fourth dose of DTaP, the third dose of polio, JBE and regular vaccinations at recommended periods should be conducted in Korea.
Journal of Korean medical science 06/2011; 26(6):711-9. · 0.84 Impact Factor
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ABSTRACT: We carried out this study to describe the difference between intention to receive vaccine against influenza A (H1N1) before the vaccination campaign and actual vaccine coverage rate after vaccination campaign; and to find out the factors affecting the acceptability. We analyzed data on intention to receive vaccine against influenza A (H1N1) and actual vaccination coverage rate from IR (immunization registry). In a survey of pre-vaccination, the sample size was 1042 and the survey results were weighted with gender and age distribution for sample distribution to be similar to population distribution. Although the intention to receive vaccine against influenza A (H1N1) was high, the actual vaccination coverage was lower than their intention. The factors affecting their intention were the degree of fear for novel influenza A (H1N1), the possibility to be infected with the virus, priority for production of novel influenza vaccine between timing and safety, and belief for effectiveness of novel influenza vaccine. Besides 2009 influenza A (H1N1) vaccination experience developing to resolve the effecting factors on intentions to receive vaccine, which would be the effective way to prepare for anther pandemic in the future.
Vaccine 11/2010; 29(2):161-5. · 3.77 Impact Factor
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ABSTRACT: This study establishes the South Korean population-based preference weights for EQ-5D based on values elicited from a representative national sample using the time trade-off (TTO) method.
The data for this paper came from a South Korean EQ-5D valuation study where 1307 representative respondents were invited to participate and a total of 101 health states defined by the EQ-5D descriptive system were directly valued. Both aggregate and individual level modeling were conducted to generate values for all 243 health states defined by EQ-5D. Various regression techniques and model specifications were also examined in order to produce the best fit model. Final model selection was based on minimizing the difference between the observed and estimated value for each health state.
The N3 model yielded the best fit for the observed TTO value at the aggregate level. It had a mean absolute error of 0.029 and only 15 predictions out of 101 had errors exceeding 0.05 in absolute magnitude.
The study successfully establishes South Korean population-based preference weights for the EQ-5D. The value set derived here is based on a representative population sample, limiting the interpolation space and possessing better model performance. Thus, this EQ-5D value set should be given preference for use with the South Korean population.
Value in Health 08/2009; 12(8):1187-93. · 2.19 Impact Factor
