Analyzing the impact of a state concussion law using an autoregressive integrated moving average intervention analysis

Lihong Huang, Lindsay Sullivan, Jingzhen Yang

    Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

    5 Citations (Scopus)

    Abstract

    BACKGROUND: Existing studies analyzing the impact of state concussion laws have found an increase in concussion-related medical encounters post-law, in some instances, such increases were observed during the pre-law period due to a potential "spillover" effect. This study assessed the effects of Ohio's concussion law, while accounting for such a "spillover" effect, on the trends in monthly rates of concussion-related medical encounters in Medicaid insured children using autoregressive integrated moving average (ARIMA) analysis. METHODS: We analyzed claim data obtained from the Partners For Kids database, a pediatric accountable care organization in Ohio. Concussion-related medical encounters for Medicaid-insured children (ages 0-18 years) treated between April 1, 2008 to December 31, 2016 were selected and analyzed. We assessed pre- and post-law trends in concussion-related medical encounters using an ARIMA intervention model. We also used traditional regression methods to validate the study results. RESULTS: A total of 16,943 concussion-related medical encounters sustained by 15,545 unique patients were included. Monthly rates of concussion-related medical encounters significantly increased from 4.64 per 10,000 member months during the pre-law period to 6.69 per 10,000 member months in the post-law period (P < 0.0001). Three upward breaks in the monthly rates of concussion-related medical encounters were observed between 2009 and 2016, with two breaks observed during the pre-law period. Specifically, the increased breakpoint observed in July 2011 (P = 0.0186) was significantly associated with an estimated 7.3% increase (95% CI: 1.1-13.7) in the rate of concussion-related medical encounters. This finding was confirmed in the Poisson regression and curve fitting models. Furthermore, a seasonal trend in concussion-related medical encounters was observed with the highest rates in September and October of each year. CONCLUSIONS: Two of the three upward breaks identified in the monthly rate of concussion-related medical encounters occurred before the enactment of Ohio's concussion law, suggesting a potential "spillover" effect. Further research is needed to confirm such an effect in children with other types of medical insurance.

    Original languageEnglish
    Pages (from-to)898
    Number of pages1
    JournalBMC Health Services Research
    Volume20
    Issue number1
    DOIs
    Publication statusPublished - 24 Sep 2020

    Keywords

    • ARIMA
    • Children
    • Concussion
    • Intervention time series

    Authors (Note for portal: view the doc link for the full list of authors)

    • Authors
    • Huang, LH;Sullivan, L;Yang, JZ

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