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Sufficiency and stability of evidence for public health interventions using cumulative meta-analysis

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  • Muellerleile, P.
  • Mullen, B.

Abstract

We propose cumulative meta-analysis as the procedure of completing a new meta-analysis at each successive wave in a research database. Two facets of cumulative knowledge are considered: the first, sufficiency, refers to whether the meta-analytic database adequately demonstrates that a public health intervention works. The second, stability, refers to the shifts over time in the accruing evidence about whether a public health intervention works. We used a hypothetical data set to develop the indicators of sufficiency and stability, and then applied them to existing, published datasets. Our discussion centers on the implications of the use of this procedure in evaluating public health interventions.

Suggested Citation

  • Muellerleile, P. & Mullen, B., 2006. "Sufficiency and stability of evidence for public health interventions using cumulative meta-analysis," American Journal of Public Health, American Public Health Association, vol. 96(3), pages 515-522.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2003.036343_9
    DOI: 10.2105/AJPH.2003.036343
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    Cited by:

    1. Gavin Pereira, 2022. "A Simple Method to Establish Sufficiency and Stability in Meta-Analyses: With Application to Fine Particulate Matter Air Pollution and Preterm Birth," IJERPH, MDPI, vol. 19(4), pages 1-12, February.
    2. Rose Baker & Dan Jackson, 2014. "Statistical application of barycentric rational interpolants: an alternative to splines," Computational Statistics, Springer, vol. 29(5), pages 1065-1081, October.

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