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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 20Current adoption status: Data quality standards and policies, and procedures in support <strong>of</strong> achievingacceptable data quality, differ among <strong>PDMP</strong>s and likely produce varying degrees <strong>of</strong> success in theirattainment.Barriers to adoption: Barriers to data quality improvement include the cost in staff time <strong>of</strong> surveyingcurrent practices, lack <strong>of</strong> data quality standards, and lack <strong>of</strong> resources needed to update data qualitysystems.SummaryRationale: Complete and accurate data can improve reporting, are important for prescribers andpharmacists making patient care decisions, and can help in detecting questionable activity.Evidence <strong>of</strong> effectiveness: Accumulated field experience, key stakeholder perceptions.Current adoption status: States vary in data quality practices.Barriers to adoption: Cost <strong>of</strong> surveying current practices, lack <strong>of</strong> standards, resources needed to updatedata quality systems.Data linking and analysisBest practices in <strong>PDMP</strong> data linking and analysis will permit better identification <strong>of</strong> unique individuals in<strong>PDMP</strong> data, development <strong>of</strong> standard analyses comparable across states, more reliable estimates <strong>of</strong>questionable activity, more appropriate and applicable epidemiological investigations, expedited andmore reliable analyses, and reports incorporating experienced user knowledge. Candidate practicesinclude actions to:A. Link records to permit reliable identification <strong>of</strong> individualsB. Determine valid criteria for possible questionable activityC. Conduct periodic analyses <strong>of</strong> possible questionable activityD. Conduct epidemiological analyses for use in surveillance, early warning, evaluation, andpreventionE. Develop automated expert systems to expedite analyses and reportsF. Record data on prescriber disciplinary status and patient lock-­‐insA. Link records to permit reliable identification <strong>of</strong> individualsRationale and evidence <strong>of</strong> effectiveness: Reliable identification <strong>of</strong> unique individuals in <strong>PDMP</strong> databases,whether patients or prescribers, is vital for accurate analyses and reporting <strong>of</strong> questionable activity andprescribing trends. Although states have implemented a number <strong>of</strong> approaches to link patient records, todate, there has been neither a census taken <strong>of</strong> such approaches, nor an evaluation <strong>of</strong> their effectiveness.

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