Knowing is not half the battle: Impacts of information from the National Health Screening Program in Korea

Kim, Hyuncheol Bryant; Lee, Suejin A.; Lim, Wilfredo

doi:10.1016/j.jhealeco.2019.01.003

Cited by 38 publications

(61 citation statements)

References 32 publications

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“…For example, systematic reviews have found little evidence that annual physical checkups reduce morbidity or mortality, "though they may be associated with reduced patient worry and increased use of preventive care" (Mehrotra andProchzka 2015, p. 1485). 4 Our study is also closely related to Zhao, Konishi and Glewwe (2013),Oster 2015, and Kim, Lee and Lim (2017). Using data from the China Health and Nutrition Survey (CHNS), Zhao, Konishi and Glewwe 2013apply regression discontinuity analyses to estimate the causal effect of diagnosis with hypertension (in the 3-4 years since the previous wave of CHNS) on food consumption and use of anti-hypertensives.…”

Section: Pgmentioning

confidence: 84%

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False Alarm? Estimating the Marginal Value of Health Signals

Iizuka¹,

Nishiyama²,

Chen³

et al. 2017

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We are grateful to Hyuncheol Kim and seminar participants at the 2016 EuHEA conference in Hamburg for helpful comments and suggestions. Financial support from the Kikawada Foundation is gratefully acknowledged. All remaining errors are our own. The authors declare that they have no relevant or material financial interests that relate to the research described in this paper. The study of which this research was a part was reviewed and approved by the Stanford University IRB. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

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Section: Pgmentioning

confidence: 84%

“…information combined with prompting for a follow-up consultation can lead to a higher response rate, with between 16% and 19% of individuals above the 126 threshold in the baseline check-up subsequently receiving a diagnosis of DM (Kim, Lee and Lim 2017 exercising" = 0 otherwise.) ・"drinking everyday" = 1 if he/she drinks every day.…”

Section: Pg 24mentioning

confidence: 99%

False Alarm? Estimating the Marginal Value of Health Signals

Iizuka¹,

Nishiyama²,

Chen³

et al. 2017

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“…The medical check-up data are generated through the National Health Screening Program (NHSP), which is a free national medical check-up programme for NHIS beneficiaries who are 40 or older 18. NHIS enrollees eligible for the NHSP are required to have a medical check-up biennially.…”

Section: Methodsmentioning

confidence: 99%

“…Our study sample consists of 131 549 enrollees who participated in the NHSP in 2011 or 2012 aged from 49 to 88. For those enrollees who participated in both years, we only use 2011 observation to avoid duplication 18. Since the majority of high cost patients are 50 years and older in Korea and many other countries, we use a large sample of that population segment in this study 1 3 19.…”

Section: Methodsmentioning

confidence: 99%

Oral health of high-cost patients and evaluation of oral health measures as predictors for high-cost patients in South Korea: a population-based cohort study

Kim

2019

BMJ Open

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ObjectiveTo examine the oral health conditions and oral health behaviour of high-cost patients and evaluate oral health measures as predictors of future high-cost patients.DesignA retrospective, population-based cohort study using administrative healthcare records.SettingThe National Health Insurance Service (NHIS) medical check-up database (a.k.a. NHIS—national health screening cohort database) in South Korea.Participants131 549 individuals who received biennial health check-ups including dental check-ups in 2011 or 2012, aged 49–88.Primary outcome measuresCurrent and subsequent year high-cost patient status.ResultsHigh-cost patients, on average, incur higher dental costs, suffer more from periodontal disease, brush their teeth less and use secondary oral hygiene products less. Some of the self-reported oral health behaviours and oral symptom variables show statistically significant associations with subsequent year high-cost patient indicators, even after adjusting for demographic, socioeconomic, medical conditions, and prior healthcare cost and utilisation.ConclusionsWe demonstrate that oral health measures are associated with an increased risk of becoming a high-cost patient.

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“…The author believes that the cognitive functioning may be a key determinant, which explains this type of heterogeneity of response by population. Other authors also deal with health checkups, such as Hackl et al 2015, Iizuka et al (2017), Kim et al (2019) and Inui et al (2017). These conclusions are in line with Bijwaard et al (2016).…”

Section: Literature Reviewmentioning

confidence: 99%

An Overview of Selected Risk Factors for Health in Oecd Countries

Sopko¹

2020

Proceedings of the 13th Economics &Amp; Finance Virtual Conference, Prague

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The aim of this paper is to highlight the fundamental determinants of health in OECD countries between 2007 and 2017. The average level of life expectancy at birth was 80.6 years in 2017 in OECD countries. The tobacco and alcohol consumption decreased between 2007 and 2017 in several OECD countries. In the second part of our paper we are dealing with the health risk assessment among young people in Slovakia. The evaluation of socioeconomic impacts on the state of health is carried out in the form of open questions and based on the evaluation of the questionnaire. To test the statistical significance, we use the Pearson´s chi-square test of independency and the column proportions test. The results indicate that in the case of drinking alcohol, students who have part time job spend more money on an average on alcohol than students who do not work and the costs of alcohol per month are higher for men than women. We believe that the results can serve as a methodological platform for academics and policymakers for further setting of similar mapping of major health risks among the population.

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Knowing is not half the battle: Impacts of information from the National Health Screening Program in Korea

Cited by 38 publications

References 32 publications

False Alarm? Estimating the Marginal Value of Health Signals

False Alarm? Estimating the Marginal Value of Health Signals

Oral health of high-cost patients and evaluation of oral health measures as predictors for high-cost patients in South Korea: a population-based cohort study

An Overview of Selected Risk Factors for Health in Oecd Countries

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