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The effects of organized screening programs on the demand for mammography in Switzerland

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  • Mark Pletscher

    (University of Neuchâtel
    Zurich University of Applied Sciences)

Abstract

The objective of this study is to estimate the causal effect of organized mammography screening programs on the proportion of women between 50 and 69 years of age who have ever used mammography. We exploit the gradual implementation of organized screening programs in nine Swiss cantons using a difference-in-difference approach. An analysis of four waves of the Swiss Health Survey shows that 3.5–5.4% points of the 87.9% utilization rate in cantons with screening programs in 2012 can be attributed to these organized programs. This effect indicates that organized programs can motivate women who have never done mammography to initiate screening.

Suggested Citation

  • Mark Pletscher, 2017. "The effects of organized screening programs on the demand for mammography in Switzerland," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(5), pages 649-665, June.
    • Handle: RePEc:spr:eujhec:v:18:y:2017:i:5:d:10.1007_s10198-016-0845-7
    DOI: 10.1007/s10198-016-0845-7
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    as
    1. John Mullahy, 1998. "Much Ado About Two: Reconsidering Retransformation and the Two-Part Model in Health Economics," NBER Technical Working Papers 0228, National Bureau of Economic Research, Inc.
    2. Gram, I.T. & Slenker, S.E., 1992. "Cancer anxiety and attitudes toward mammography among screening attenders, nonattenders, and women never invited," American Journal of Public Health, American Public Health Association, vol. 82(2), pages 249-251.
    3. Ansgar Wübker, 2014. "Explaining variations in breast cancer screening across European countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(5), pages 497-514, June.
    4. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
    5. Carrieri, V. & Wuebker, A., 2014. "Does the letter matter (and for everyone)? Quasi-experimental evidence on the effects of home invitation on mammography uptake," Health, Econometrics and Data Group (HEDG) Working Papers 14/11, HEDG, c/o Department of Economics, University of York.
    6. William Greene, 2004. "The behaviour of the maximum likelihood estimator of limited dependent variable models in the presence of fixed effects," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 98-119, June.
    7. Horrace, William C. & Oaxaca, Ronald L., 2006. "Results on the bias and inconsistency of ordinary least squares for the linear probability model," Economics Letters, Elsevier, vol. 90(3), pages 321-327, March.
    8. Puhani, Patrick A., 2012. "The treatment effect, the cross difference, and the interaction term in nonlinear “difference-in-differences” models," Economics Letters, Elsevier, vol. 115(1), pages 85-87.
    9. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    10. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    11. Oliver Reich & Cornelia Weins & Claudia Schusterschitz & Magdalena Thöni, 2012. "Exploring the disparities of regional health care expenditures in Switzerland: some empirical evidence," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(2), pages 193-202, April.
    12. Daryl Pregibon, 1980. "Goodness of Link Tests for Generalized Linear Models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(1), pages 15-24, March.
    13. BOUCKAERT, Nicolas & SCHOKKAERT, Erik, 2013. "Differing types of medical prevention appeal to different individuals," LIDAM Discussion Papers CORE 2013038, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    14. Carrieri, Vincenzo & Wuebker, Ansgar, 2013. "Assessing inequalities in preventive care use in Europe," Health Policy, Elsevier, vol. 113(3), pages 247-257.
    15. Mullahy, John, 1998. "Much ado about two: reconsidering retransformation and the two-part model in health econometrics," Journal of Health Economics, Elsevier, vol. 17(3), pages 247-281, June.
    16. Gil Lacruz, Ana Isabel & Gil Lacruz, Marta & Gorgemans, Sophie, 2014. "Female preventive practices: Breast and smear tests," Health Policy, Elsevier, vol. 118(1), pages 135-144.
    17. Katz, Ethan, 2001. "Bias in Conditional and Unconditional Fixed Effects Logit Estimation," Political Analysis, Cambridge University Press, vol. 9(4), pages 379-384, January.
    18. repec:zbw:rwirep:0491 is not listed on IDEAS
    19. Luca Crivelli & Massimo Filippini & Ilaria Mosca, 2006. "Federalism and regional health care expenditures: an empirical analysis for the Swiss cantons," Health Economics, John Wiley & Sons, Ltd., vol. 15(5), pages 535-541, May.
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    Cited by:

    1. Eibich, Peter & Goldzahl, Léontine, 2021. "Does retirement affect secondary preventive care use? Evidence from breast cancer screening," Economics & Human Biology, Elsevier, vol. 43(C).
    2. Thomas C. Buchmueller & Léontine Goldzahl, 2018. "The effect of organized breast cancer screening on mammography use: Evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 27(12), pages 1963-1980, December.
    3. Eibich, Peter & Goldzahl, Léontine, 2020. "Health information provision, health knowledge and health behaviours: Evidence from breast cancer screening," Social Science & Medicine, Elsevier, vol. 265(C).
    4. Guthmuller, Sophie & Carrieri, Vincenzo & Wübker, Ansgar, 2023. "Effects of organized screening programs on breast cancer screening, incidence, and mortality in Europe," Journal of Health Economics, Elsevier, vol. 92(C).
    5. Thomas C. Buchmueller & Léontine Goldzahl, 2018. "The Effect of Organized Breast Cancer Screening on Mammography Use: Evidence from France," NBER Working Papers 24316, National Bureau of Economic Research, Inc.

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    More about this item

    Keywords

    Mammography; Screening; Switzerland; Difference-in-difference;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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