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Network Meta-Analysis Techniques for Synthesizing Prevention Science Evidence.

G Seitidis1, S Nikolakopoulos2,3, E A Hennessy4

  • 1Department of Primary Education, School of Education, University of Ioannina, Ioannina, Greece. g.seitidis@uoi.gr.

Prevention Science : the Official Journal of the Society for Prevention Research
|August 13, 2021
PubMed
Summary
This summary is machine-generated.

Network meta-analysis offers a powerful way to compare multiple interventions, especially in prevention science. This primer guides researchers on applying this method for better evidence synthesis and intervention comparison.

Keywords:
ConsistencyNetwork Meta-AnalysisPrevention scienceRankingTransitivityTutorial

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Area of Science:

  • Prevention Science
  • Biostatistics
  • Public Health

Background:

  • Network meta-analysis synthesizes evidence from multiple studies comparing interventions.
  • It surpasses pairwise meta-analysis by evaluating multiple interventions in a single framework, increasing precision, and comparing indirectly linked interventions.
  • Despite its benefits, network meta-analysis is underutilized in prevention science.

Purpose of the Study:

  • To provide a primer on network meta-analysis for prevention scientists.
  • To guide researchers in applying and critically appraising network meta-analysis evidence.
  • To highlight the applicability of network meta-analysis concepts in prevention science.

Main Methods:

  • Introduction to key concepts: transitivity and consistency.
  • Demonstration of network meta-analysis application in prevention science.
  • Illustrative example using a network meta-analysis of brief alcohol interventions for college students.

Main Results:

  • The paper provides data and code for all examples, facilitating practical application.
  • Network meta-analysis enables a hierarchy of intervention effectiveness.
  • Considerations for prevention science, including non-randomized evidence, are discussed.

Conclusions:

  • Network meta-analysis is a valuable tool for prevention science, enhancing evidence synthesis.
  • The primer equips scientists to utilize and critically evaluate this statistical technique.
  • The method allows for robust comparison of interventions, even those not directly studied together.