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                            Library & Multimedia
 The Use of a Prescription Drug Monitoring Program To Develop Algorithms To Identify Providers With Unusual Prescribing Practices for Controlled Substances
NCJ Number
              249633
Journal

*Journal of Primary Prevention* Volume: 36 Issue: 5 Dated: October 2015 Pages: 287-299
Author(s)
          C. Ringwalt;
                        S. Schiro;
                        M. Shanahan;
                        S. Proescholdbell;
                        H. Meder;
                        A. Austin;
                        N. Sachdeva
Date Published

October 2015
Length
              13 pages
Annotation
              Using one State's prescription drug monitoring program, this study describes a series of metrics developed to identify providers manifesting unusual and uncustomary prescribing practices; and it then presents the results of a preliminary effort to assess the concurrent validity of these algorithms, using death records from the State's vital records database pertaining to providers who wrote prescriptions to patients who then died of a medication or drug overdose within 30 days.
Abstract
              Metrics manifesting the strongest concurrent validity with providers identified from these records related to those who co-prescribed benzodiazepines (e.g., valium) and high levels of opioid analgesics (e.g., oxycodone), as well as those who wrote temporally overlapping prescriptions. The report concludes with a discussion of a variety of uses to which these metrics may be put, as well as problems and opportunities related to their use. (Publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2012-R2-CX-0002


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)
                                Report (Grant Sponsored)
                                Program/Project Evaluation
                                Program/Project Description


  
  
        
  Award
        Identifying High Risk Prescribers Using PDMP Data: A Tool For Law Enforcement
    
  
  
Date Published: October 1, 2015
    
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