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

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

Abstract

Health screening provides information on disease risk and diagnosis, but whether this promotes health is unclear. We estimate the impacts of information provided by Korea's National Health Screening Program by applying a regression discontinuity design around different biomarker thresholds of diabetes, obesity, and hyperlipidemia risk using administrative data that includes medical claims, biomarkers, and behavioral surveys over four years after screening. Generally, we find limited responses to disease risk information alone. However, we find evidence for weight loss around the high risk threshold for diabetes, where information is combined with active prompting for a secondary examination for diagnosis and treatment.

Suggested Citation

  • Kim, Hyuncheol Bryant & Lee, Suejin A. & Lim, Wilfredo, 2019. "Knowing is not half the battle: Impacts of information from the National Health Screening Program in Korea," Journal of Health Economics, Elsevier, vol. 65(C), pages 1-14.
    • Handle: RePEc:eee:jhecon:v:65:y:2019:i:c:p:1-14
    DOI: 10.1016/j.jhealeco.2019.01.003
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    Cited by:

    1. Alessio Gaggero & Joan Gil & Dolores Jiménez-Rubio & Eugenio Zucchelli, 2023. "Sick and depressed? The causal impact of a diabetes diagnosis on depression," Health Economics Review, Springer, vol. 13(1), pages 1-13, December.
    2. Cheolmin Kang & Akira Kawamura & Haruko Noguchi, 2021. "Benefits of knowing own health status: effects of health check-ups on health behaviours and labour participation," Applied Economics Letters, Taylor & Francis Journals, vol. 28(11), pages 926-931, June.
    3. Iizuka, Toshiaki & Nishiyama, Katsuhiko & Chen, Brian & Eggleston, Karen, 2021. "False alarm? Estimating the marginal value of health signals," Journal of Public Economics, Elsevier, vol. 195(C).
    4. ZHAO Meng & YIN Ting & SEKIZAWA Yoichi, 2023. "Make Behavioral Changes for a Healthier Liver? Evidence from a liver function test in Japan," Discussion papers 23010, Research Institute of Economy, Trade and Industry (RIETI).
    5. Gaggero, A. & Gil, J. & Jiménez-Rubio, D. & Zucchelli, E., 2021. "Health information and lifestyle behaviours: the impact of a diabetes diagnosis," Health, Econometrics and Data Group (HEDG) Working Papers 21/02, HEDG, c/o Department of Economics, University of York.
    6. Gaggero, Alessio & Gil, Joan & Jiménez-Rubio, Dolores & Zucchelli, Eugenio, 2022. "Does health information affect lifestyle behaviours? The impact of a diabetes diagnosis," Social Science & Medicine, Elsevier, vol. 314(C).
    7. Gaggero, Alessio, 2020. "The effect of type 2 diabetes diagnosis in the elderly," Economics & Human Biology, Elsevier, vol. 37(C).
    8. Bo-Mi Shin & Jung-Sun Heo & Jae-In Ryu, 2021. "An Investigation of the Association between Health Screening and Dental Scaling in Korea," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
    9. Davillas, Apostolos & Pudney, Stephen, 2020. "Biomarkers as precursors of disability," Economics & Human Biology, Elsevier, vol. 36(C).
    10. Luciana Juvenal & Paulo Santos Monteiro, 2021. "Risky Gravity," Discussion Papers 21/02, Department of Economics, University of York.
    11. Kämpfen, F.; & Gómez-Olivé, X.; & O’Donnell, O.; & Riumallo Herl, C.;, 2023. "Effectiveness of Population-Based Hypertension Screening: A Multidimensional Regression Discontinuity Design," Health, Econometrics and Data Group (HEDG) Working Papers 23/15, HEDG, c/o Department of Economics, University of York.
    12. Sok Chul Hong & Eunju Lee & Seojung Oh, 2023. "Unintended health benefits of adopting preventive behaviors during a virus outbreak," Health Economics, John Wiley & Sons, Ltd., vol. 32(2), pages 324-342, February.
    13. Oikawa, M., 2020. "The effect of education on health policy reform: Evidence from Japan," Health, Econometrics and Data Group (HEDG) Working Papers 20/08, HEDG, c/o Department of Economics, University of York.
    14. Feng, Jingbing & Xu, Xian & Zou, Hong, 2023. "Risk communication clarity and insurance demand: The case of the COVID-19 pandemic," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    15. Jakub Sopko, 2020. "An overview of selected risk factors for health in OECD countries," Proceedings of Economics and Finance Conferences 10913074, International Institute of Social and Economic Sciences.
    16. Manuela Fritz & Michael Grimm & Ingmar Weber & Elad Yom-Tov & Benedictus Praditya, 2022. "Uncover your risk! Using Facebook to increase personal risk awareness and screening of type 2 diabetes in Indonesia," Working Papers 221, Bavarian Graduate Program in Economics (BGPE).
    17. Masato Oikawa, 2024. "The role of education in health policy reform outcomes: evidence from Japan," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 49-76, February.
    18. Mattan Alalouf & Sarah Miller & Laura R. Wherry, 2019. "What Difference Does a Diagnosis Make? Evidence from Marginal Patients," NBER Working Papers 26363, National Bureau of Economic Research, Inc.
    19. Hartung, Corinna & Veramendi, Gregory F. & Winter, Joachim, 2022. "The Dynamics of Behavioral Responses During a Crisis," Rationality and Competition Discussion Paper Series 333, CRC TRR 190 Rationality and Competition.

    More about this item

    Keywords

    Health screening; Information; Obesity; Diabetes; Hyperlipidemia; Health behavior;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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