Meta-analysis of heterogeneity

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Last modified date
  • June 7, 2021
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Abstract
  • Meta-analyses Applying a Food and Drug Administration (FDA) method for opioid measurement dilemmas, we used meta-analytic techniques to quantify how much heterogeneity would have been observed across hypothetical state-comparison studies, each applying one of the 4 variants on the same sample (fixed effects). In preliminary analyses, Florida generally had higher opioid use than California, presumably due to an older population, scope of practice legislation and other factors.
Methodology
  • Conceptualized as a comparative surveillance study, we evaluated differences between the 2 states: (1) daily MME as categorical comparing the proportion of “high dose” patients, and (2) calculating mean differences in milligrams as a continuous variable, stratified by the 3 opioid categories from subgroup analyses. To quantify heterogeneity between definitions, we computed Higgins and Thompson I2 metric and χ2 statistics in Stata/MP 16.0 (Stata Corp., College Station, TX). Code and annotated output are provided in Supplemental Digital Content 3 (http://links.lww.com/CJP/A783)
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  • Other
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  • Presentation
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  • In Copyright
License
  • CC0 1.0 Universal
Language
  • English

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