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Appropriate measures of influenza immunization program effectiveness.

Jeffrey C Kwong, Thérèse A Stukel, Allison J McGeer

    Vaccine
    |October 21, 2006
    PubMed
    Summary
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    Laboratory-confirmed influenza cases are unreliable for evaluating immunization campaigns. Researchers suggest using the proportion of positive influenza tests for a more accurate measure of viral activity and program effectiveness.

    Area of Science:

    • Public Health
    • Epidemiology
    • Immunization Programs

    Background:

    • The effectiveness of Ontario's Universal Influenza Immunization Campaign was evaluated using per capita laboratory-confirmed influenza cases.
    • This study critiques the use of laboratory-confirmed influenza cases as a primary outcome measure due to inherent biases.

    Discussion:

    • Laboratory data are traditionally used for influenza surveillance (presence) rather than quantifying activity levels.
    • The proportion of positive influenza tests is a more reliable indicator of viral activity.
    • An increase in laboratory-confirmed cases correlated with an increased number of tests performed, suggesting bias.

    Key Insights:

    • Per capita laboratory-confirmed influenza cases are susceptible to biases and not ideal for evaluating immunization campaign effectiveness.

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  • The proportion of positive influenza tests offers a more accurate reflection of influenza activity.
  • Methodological considerations are crucial for reliable public health program evaluation.

    • Outlook:

    • Future evaluations of universal influenza immunization programs should utilize established epidemiological measures.
    • Revisiting data interpretation methods in public health surveillance is recommended.
    • Improved outcome measures are needed for accurate assessment of public health interventions.