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                            Library & Multimedia
 Use of a Prescription Drug Monitoring Program To Develop Algorithms To Identify Providers With Unusual Prescribing Practices for Controlled Substances
NCJ Number
              249481

Author(s)
          Christopher Ringwalt;
                        Sharon Schiro;
                        Meghan Shanahan;
                        Scott Proescholdbell;
                        Harold Meder;
                        Anna Austin;
                        Nidhi Sachdeva
Date Published

September 2015
Length
              32 pages
Annotation
              Using one State's prescription drug monitoring program, this report describes a series of metrics developed by the authors to facilitate the identification of prescription drug providers who have unusual and uncustomary prescribing practices, followed by results of a preliminary effort to assess the concurrent validity of these algorithms.
Abstract
              The noted benefit of using the proposed metrics is that they provide a tool to State-level institutions that have the statutory authority and responsibility to identify and investigate individuals employing unusual and questionable prescription practices.  In North Carolina, where the validity of the metrics was tested, these State institutions are the State Bureau of Investigation and the Medical Board. Each institution can select the particular metric it believes is most likely to identify prescription providers that warrant investigation.  The authors acknowledge that the proposed metrics constitute only an initial screen, meaning that a substantial amount of work must be done by the authorities responsible for identifying prescribers who warrant attention.  In the current study, the focus was on prescribers who were temporally linked by their prescribing records to individuals who died from an overdose of the prescribed drug.  Such data, however, may be inconsistent, and the emergency services available to reverse overdoses may affect mortality rates in rural areas.  None of the data sources should be considered a gold standard against which the sensitivity and specificity of the algorithms may be judged; however, there is value in assessing their concurrent validity.  2 tables, 2 figures, and 46 references
      
  
          Additional Details
Grant Number(s)
        2012-R2-CX-0002


  
  
        
  Agencies
        NIJ-Sponsored


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


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