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Comparative effectiveness research considered methodological insights from simulation studies in physician's

Lisong Zhang1, Jim Lewsey1, David A McAllister1

  • 1Institute of Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow G12 8RZ, UK.

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Summary
This summary is machine-generated.

Physician's prescribing preference instrumental variable (PPP IV) is a valid tool in comparative effectiveness research (CER). Future studies should refine methodological approaches for improved validity in pharmacoepidemiology.

Keywords:
Comparative effectiveness researchInstrumental variablePharmacoepidemiologyPhysician's prescribing preferenceReviewSimulation studies

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Area of Science:

  • Pharmacoepidemiology
  • Comparative Effectiveness Research (CER)
  • Instrumental Variable (IV) Methods

Background:

  • Physician's prescribing preference instrumental variable (PPP IV) is increasingly utilized in pharmacoepidemiology for causal inference in comparative effectiveness research (CER).
  • Methodological validation through simulation studies is crucial for understanding the performance and limitations of PPP IV in diverse CER settings.
  • A comprehensive review is needed to synthesize findings from simulation and applied CER studies using PPP IV.

Approach:

  • Systematic literature review of simulation and CER studies from 2005-2020.
  • Databases searched include Ovid, PubMed, and Google Scholar.
  • Analysis focused on simulation findings regarding optimal PPP IV application and heterogeneity in CER study methodologies.

Key Points:

  • Six simulation studies provided guidance on using PPP IV across various settings (e.g., outcome types, sample size, outcome prevalence).
  • Eighteen CER studies demonstrated heterogeneity in validation assumptions, estimation methods, and sample sizes.
  • Despite heterogeneity, all identified CER studies concluded that PPP is a valid instrumental variable.

Conclusions:

  • Future CER studies employing PPP IV should address methodological considerations like statistical methods, preference proxies, time-varying exposures, and outcome types.
  • Integrating insights from simulation studies can enhance the robustness and validity of PPP IV in pharmacoepidemiological research.
  • Continued methodological refinement is essential for maximizing the utility of PPP IV in generating reliable CER findings.