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OpioidRCR

  • CDC Oral Opioids
  • All Opioids
  • Risk factors and outcomes- Exclusion criteria
  • Cancer Codes
  • Review the table shells
  • Crosstabs for value sets over demographic and geographic variables
  • High Dose (see this SAS code from HHS - June 2018.)
  • Possibly useful toolkit from HHS

Replicating CDC Results

  • CDC SAS Code to modify
  • Crosswalks from CDC NDCs to RXNORM with same MMEs [here]
  • TODO (if we decide): Crosswalks to average MMEs for less granular matches
  • TO DECIDE How to impute MME and days supply when we don't have it (e.g. impute these based on CMS claims data)
  • Table shells matching RX to provider zip code
  • TODO SAS PROC SQL queries

Regressions and Predictive Analyses

TODO: Specifications for Unit of analysis = zip code (one model)

  • Get public data by zip code/county

TODO: Unit of analysis = person (one model per DMC)

  • Specify Data Set: variables, any temporal conditions, and pivot logic from long to wide
  • Specify Analytic Model(s):
    • Predictors of guideline adherence (unit of analyis = provider)
    • Predictors of high dose (unit of analysis = patient)
    • Predictors of outcomes (unit of analysis = patient)

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