What makes a good weight related study in pcornet
This presentation is the property of its rightful owner.
Sponsored Links
1 / 2

What makes a good weight–related study in PCORnet PowerPoint PPT Presentation


  • 44 Views
  • Uploaded on
  • Presentation posted in: General

What makes a good weight–related study in PCORnet. Patient centered comparative effectiveness Patient/stakeholder engagement throughout Uses PCORnet infrastructure Multiple CDRNs, PPRNS Built from common data model (CDM) Multiple data sources, e.g., EMR, claims, patient reported outcomes

Download Presentation

What makes a good weight–related study in PCORnet

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


What makes a good weight related study in pcornet

What makes a good weight–related study in PCORnet

  • Patient centered comparative effectiveness

    • Patient/stakeholder engagement throughout

    • Uses PCORnet infrastructure

      • Multiple CDRNs, PPRNS

      • Built from common data model (CDM)

      • Multiple data sources, e.g., EMR, claims, patient reported outcomes

    • Low frequency exposure and/or outcomes

      • Other reasons for large numbers, e.g., subgroup analysis

    • Practice or other geographic variation

    • Diversity

    • Natural experiments

      • Implementation and dissemination

    • Simulation of best practices

    • Individual and cluster randomized control trials (RCTs)

  • Etiology/prediction?


What makes a good weight related study in pcornet1

What makes a good weight–related study in PCORnet

  • Possible cross-cutting rubric for identifying studies

    • Observational studies

      • Use existing data

      • Linkages (family members)

      • Patient-reported data

      • Biorepository

    • Interventions


  • Login