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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 PCORnet

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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 - PowerPoint PPT Presentation

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Page 1: 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?

Page 2: What makes a good weight–related study in PCORnet

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