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Back to normal? a method to test and correct a shock impact on healthcare usage frequency data

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  • Moriña, David
  • Fernández-Fontelo, Amanda
  • Guillén, Montserrat

Abstract

A method based on Bayesian structural time series is proposed to predict healthcare usage trends and to test for changes in the series levels during or after an abnormal year, such as that of the 2020 COVID-19 pandemic. Our method can also serve to calculate correction factors for frequency count data that can be integrated in a preprocessing step before undertaking a cross-sectional statistical analysis, and, in this way, the impact of a shock can be eliminated. Here, adjustments are derived for a large private health insurer in Spain from estimates of average healthcare usage. Median claims rate levels in 2020 were 15 % down on 2019 figures, but rose in 2021 and 2022, when the rate was 11 % and 8 % higher than in 2019, respectively. Once the shock correction is incorporated in the preprocessing step, our approach is shown to outperform traditional time series techniques. Healthcare insurance usage in Spain did not fully go back to normal levels (assuming that pre-pandemic values represent normality) in 2022, with the exception of some patient groups and specific medical services. Our method can be implemented in other areas of risk analysis when frequency counts are exposed to shocks and it allows estimating the difference in claims volume between real figures and those estimated, had the shock not occurred.

Suggested Citation

  • Moriña, David & Fernández-Fontelo, Amanda & Guillén, Montserrat, 2026. "Back to normal? a method to test and correct a shock impact on healthcare usage frequency data," Insurance: Mathematics and Economics, Elsevier, vol. 126(C).
    • Handle: RePEc:eee:insuma:v:126:y:2026:i:c:s0167668725001222
    DOI: 10.1016/j.insmatheco.2025.103175
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    References listed on IDEAS

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    1. Robert Hartwig & Greg Niehaus & Joseph Qiu, 2020. "Insurance for economic losses caused by pandemics," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 45(2), pages 134-170, September.
    2. Shuying Li & Jun Zhuang & Shifei Shen, 2017. "Dynamic Forecasting Conditional Probability of Bombing Attacks Based on Time‐Series and Intervention Analysis," Risk Analysis, John Wiley & Sons, vol. 37(7), pages 1287-1297, July.
    3. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2022. "The impact and role of COVID-19 uncertainty: A global industry analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).
    4. Leeflang, Peter S.H. & Bijmolt, Tammo H.A. & van Doorn, Jenny & Hanssens, Dominique M. & van Heerde, Harald J. & Verhoef, Peter C. & Wieringa, Jaap E., 2009. "Creating lift versus building the base: Current trends in marketing dynamics," International Journal of Research in Marketing, Elsevier, vol. 26(1), pages 13-20.
    5. John Antonakis & Samuel Bendahan & Philippe Jacquart & Rafael Lalive, 2010. "On making causal claims : A review and recommendations," Post-Print hal-02313119, HAL.
    6. Cantor, Jonathan & Sood, Neeraj & Bravata, Dena M. & Pera, Megan & Whaley, Christopher, 2022. "The impact of the COVID-19 pandemic and policy response on health care utilization: Evidence from county-level medical claims and cellphone data," Journal of Health Economics, Elsevier, vol. 82(C).
    7. Marjorie Rosenberg & Virginia Young, 1999. "A Bayesian Approach to Understanding Time Series Data," North American Actuarial Journal, Taylor & Francis Journals, vol. 3(2), pages 130-143.
    8. Andreas Richter & Thomas C. Wilson, 2020. "Covid-19: implications for insurer risk management and the insurability of pandemic risk," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 45(2), pages 171-199, September.
    9. Jarosław Wenancjusz Przybytniowski & Stanisław Borkowski & Andrzej Pawlik & Petro Garasyim, 2022. "The Risk of the COVID-19 Pandemic and Its Influence on the Business Insurance Market in the Medium- and Long-Term Horizon," Risks, MDPI, vol. 10(5), pages 1-13, May.
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