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Prescription Drug Monitoring Programs - PDMP Center of Excellence

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<strong>Prescription</strong> <strong>Drug</strong> <strong>Monitoring</strong> <strong>Programs</strong>: An Assessment <strong>of</strong> the Evidence for Best Practices 24For further discussion and recommendations for research on establishing valid criteria for questionableactivity, see Section V. Summary and Recommendations, below.SummaryRationale: Validated criteria for questionable activity are needed to target unsolicited reports andimprove measures <strong>of</strong> doctor shopping and other questionable activity.Evidence <strong>of</strong> effectiveness: Key stakeholder perceptions.Current adoption status: Variation in thresholds and other criteria used by states.Barriers to adoption: Lack <strong>of</strong> sufficient research to validate criteria.C. Conduct periodic analyses <strong>of</strong> possible questionable activityRationale: <strong>PDMP</strong> data are unique in providing estimates <strong>of</strong> possible doctor shopping and otherquestionable activity, either on the part <strong>of</strong> patients or prescribers. Such activity is a precursor tocontrolled substance diversion and abuse, and so is an indicator <strong>of</strong> a contributing cause <strong>of</strong> theprescription drug abuse epidemic. Since levels <strong>of</strong> questionable activity, such as the number <strong>of</strong> individualsmeeting criteria for doctor shopping (see B. Determine valid criteria for possible questionable activity,above), are affected by the use <strong>of</strong> <strong>PDMP</strong>s, they can also serve as indicators <strong>of</strong> theimpact <strong>of</strong> the <strong>PDMP</strong> and <strong>of</strong> program improvements, possibly providing evidence for <strong>PDMP</strong> effectiveness.Current adoption status and evidence <strong>of</strong> effectiveness: The Virginia <strong>PDMP</strong> found that the number <strong>of</strong>individuals meeting thresholds for possible doctor shopping (10x10 and 15x15 in a six-­‐month period)declined following a large increase in data queries to the <strong>PDMP</strong>, in turn likely the result <strong>of</strong> improvedaccess to <strong>PDMP</strong> data (Virginia <strong>Prescription</strong> <strong>Monitoring</strong> Program, 2010). Declines in numbers <strong>of</strong> individualsmeeting doctor shopping thresholds subsequent to issuing unsolicited reports, as well as declines inprescribers, pharmacies, and dosage units for individuals reported on, have been observed in Wyomingand Nevada (<strong>PDMP</strong> COE, NFF 1.1, 2.5). This suggests that states, if they are not already doing so, shouldbe encouraged to conduct periodic threshold and other analyses to track trends in possible questionableactivity on the part <strong>of</strong> patients and prescribers that can then be correlated with <strong>PDMP</strong> utilization andreporting. <strong>PDMP</strong>s that are Harold Rogers grantees report such analyses every three months. Suchanalyses may provide evidence suggesting <strong>PDMP</strong> effectiveness that could be communicated tostakeholders and funders to build support for <strong>PDMP</strong>s. Developing standard analyses common to all<strong>PDMP</strong>s, e.g., using validated thresholds and/or criteria for questionable activity (see B. Determine validcriteria for possible questionable activity, above), would permit cross-­‐state comparisons to helpevaluate program innovations and provide standard measures by which to gauge the impact <strong>of</strong> <strong>PDMP</strong>sover time.Barriers to adoption: Barriers to conducting periodic analyses <strong>of</strong> questionable activity include lack <strong>of</strong>program resources to carry out analyses and the need for standard criteria to permit cross-­‐statecomparisons.

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