Effect of Florida’s Prescription Drug Monitoring Program and Pill Mill Laws on Opioid Prescribing and Use

IMPORTANCE: Prescription Drug Monitoring Program (PDMP) and pill mill laws are among the principal means states use to reduce prescription drug abuse and diversion, yet little high-quality evidence exists regarding their effect. OBJECTIVE: To quantify the effect of Florida’s PDMP and pill mill laws...

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Veröffentlicht in:JAMA internal medicine 2015-10, Vol.175 (10), p.1642-1649
Hauptverfasser: Rutkow, Lainie, Chang, Hsien-Yen, Daubresse, Matthew, Webster, Daniel W, Stuart, Elizabeth A, Alexander, G. Caleb
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container_issue 10
container_start_page 1642
container_title JAMA internal medicine
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creator Rutkow, Lainie
Chang, Hsien-Yen
Daubresse, Matthew
Webster, Daniel W
Stuart, Elizabeth A
Alexander, G. Caleb
description IMPORTANCE: Prescription Drug Monitoring Program (PDMP) and pill mill laws are among the principal means states use to reduce prescription drug abuse and diversion, yet little high-quality evidence exists regarding their effect. OBJECTIVE: To quantify the effect of Florida’s PDMP and pill mill laws on overall and high-risk opioid prescribing and use. DESIGN, SETTING, AND PARTICIPANTS: We applied comparative interrupted time-series analyses to IMS Health LifeLink LRx data to characterize the effect of PDMP and pill mill law implementation on a closed cohort of prescribers, retail pharmacies, and patients from July 2010 through September 2012 in Florida (intervention state) compared with Georgia (control state). We conducted sensitivity analyses, including varying length of observation and modifying requirements for continuous observation of individuals throughout the study period. MAIN OUTCOMES AND MEASURES: Total opioid volume, mean morphine milligram equivalent (MME) per transaction, mean days’ supply per transaction, and total number of opioid prescriptions dispensed. Analyses were conducted per prescriber and per patient, in aggregate and after stratifying by volume of baseline opioid prescribing for prescribers and use for patients. RESULTS: From July 2010 through September 2012, a cohort of 2.6 million patients, 431 890 prescribers, and 2829 pharmacies was associated with approximately 480 million prescriptions in Florida and Georgia, 7.7% of which were for opioids. Total monthly opioid volume, MME per transaction, days’ supply, and prescriptions dispensed were higher in Florida than Georgia before implementation. Florida’s laws were associated with statistically significant declines in opioid volume (2.5 kg/mo, P 
doi_str_mv 10.1001/jamainternmed.2015.3931
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Caleb</creator><creatorcontrib>Rutkow, Lainie ; Chang, Hsien-Yen ; Daubresse, Matthew ; Webster, Daniel W ; Stuart, Elizabeth A ; Alexander, G. Caleb</creatorcontrib><description>IMPORTANCE: Prescription Drug Monitoring Program (PDMP) and pill mill laws are among the principal means states use to reduce prescription drug abuse and diversion, yet little high-quality evidence exists regarding their effect. OBJECTIVE: To quantify the effect of Florida’s PDMP and pill mill laws on overall and high-risk opioid prescribing and use. DESIGN, SETTING, AND PARTICIPANTS: We applied comparative interrupted time-series analyses to IMS Health LifeLink LRx data to characterize the effect of PDMP and pill mill law implementation on a closed cohort of prescribers, retail pharmacies, and patients from July 2010 through September 2012 in Florida (intervention state) compared with Georgia (control state). We conducted sensitivity analyses, including varying length of observation and modifying requirements for continuous observation of individuals throughout the study period. MAIN OUTCOMES AND MEASURES: Total opioid volume, mean morphine milligram equivalent (MME) per transaction, mean days’ supply per transaction, and total number of opioid prescriptions dispensed. Analyses were conducted per prescriber and per patient, in aggregate and after stratifying by volume of baseline opioid prescribing for prescribers and use for patients. RESULTS: From July 2010 through September 2012, a cohort of 2.6 million patients, 431 890 prescribers, and 2829 pharmacies was associated with approximately 480 million prescriptions in Florida and Georgia, 7.7% of which were for opioids. Total monthly opioid volume, MME per transaction, days’ supply, and prescriptions dispensed were higher in Florida than Georgia before implementation. Florida’s laws were associated with statistically significant declines in opioid volume (2.5 kg/mo, P &lt; .05; equivalent to approximately 500 000 5-mg tablets of hydrocodone bitartrate per month) and MME per transaction (0.45 mg/mo, P &lt; .05), without any change in days’ supply. Twelve months after implementation, the policies were associated with approximately a 1.4% decrease in opioid prescriptions, 2.5% decrease in opioid volume, and 5.6% decrease in MME per transaction. Reductions were limited to prescribers and patients with the highest baseline opioid prescribing and use. Sensitivity analyses, varying time windows, and enrollment criteria supported the main results. CONCLUSIONS AND RELEVANCE: Florida’s PDMP and pill mill laws were associated with modest decreases in opioid prescribing and use. 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Caleb</creatorcontrib><title>Effect of Florida’s Prescription Drug Monitoring Program and Pill Mill Laws on Opioid Prescribing and Use</title><title>JAMA internal medicine</title><addtitle>JAMA Intern Med</addtitle><description>IMPORTANCE: Prescription Drug Monitoring Program (PDMP) and pill mill laws are among the principal means states use to reduce prescription drug abuse and diversion, yet little high-quality evidence exists regarding their effect. OBJECTIVE: To quantify the effect of Florida’s PDMP and pill mill laws on overall and high-risk opioid prescribing and use. DESIGN, SETTING, AND PARTICIPANTS: We applied comparative interrupted time-series analyses to IMS Health LifeLink LRx data to characterize the effect of PDMP and pill mill law implementation on a closed cohort of prescribers, retail pharmacies, and patients from July 2010 through September 2012 in Florida (intervention state) compared with Georgia (control state). We conducted sensitivity analyses, including varying length of observation and modifying requirements for continuous observation of individuals throughout the study period. MAIN OUTCOMES AND MEASURES: Total opioid volume, mean morphine milligram equivalent (MME) per transaction, mean days’ supply per transaction, and total number of opioid prescriptions dispensed. Analyses were conducted per prescriber and per patient, in aggregate and after stratifying by volume of baseline opioid prescribing for prescribers and use for patients. RESULTS: From July 2010 through September 2012, a cohort of 2.6 million patients, 431 890 prescribers, and 2829 pharmacies was associated with approximately 480 million prescriptions in Florida and Georgia, 7.7% of which were for opioids. Total monthly opioid volume, MME per transaction, days’ supply, and prescriptions dispensed were higher in Florida than Georgia before implementation. Florida’s laws were associated with statistically significant declines in opioid volume (2.5 kg/mo, P &lt; .05; equivalent to approximately 500 000 5-mg tablets of hydrocodone bitartrate per month) and MME per transaction (0.45 mg/mo, P &lt; .05), without any change in days’ supply. Twelve months after implementation, the policies were associated with approximately a 1.4% decrease in opioid prescriptions, 2.5% decrease in opioid volume, and 5.6% decrease in MME per transaction. Reductions were limited to prescribers and patients with the highest baseline opioid prescribing and use. Sensitivity analyses, varying time windows, and enrollment criteria supported the main results. CONCLUSIONS AND RELEVANCE: Florida’s PDMP and pill mill laws were associated with modest decreases in opioid prescribing and use. 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Caleb</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a381t-bc8b7ad62b38d5c6f7a1386b669673f99f44c273f46d58cc5aa5c99c786a0ba33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Analgesics, Opioid - adverse effects</topic><topic>Drug and Narcotic Control - legislation &amp; jurisprudence</topic><topic>Efficiency, Organizational</topic><topic>Female</topic><topic>Florida - epidemiology</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Practice Patterns, Physicians' - statistics &amp; numerical data</topic><topic>Prescription Drug Diversion - legislation &amp; jurisprudence</topic><topic>Prescription Drug Diversion - prevention &amp; control</topic><topic>Prescription Drug Misuse - statistics &amp; numerical data</topic><topic>Prescription Drugs - adverse effects</topic><topic>Substance-Related Disorders - epidemiology</topic><topic>Substance-Related Disorders - prevention &amp; control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rutkow, Lainie</creatorcontrib><creatorcontrib>Chang, Hsien-Yen</creatorcontrib><creatorcontrib>Daubresse, Matthew</creatorcontrib><creatorcontrib>Webster, Daniel W</creatorcontrib><creatorcontrib>Stuart, Elizabeth A</creatorcontrib><creatorcontrib>Alexander, G. 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Caleb</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of Florida’s Prescription Drug Monitoring Program and Pill Mill Laws on Opioid Prescribing and Use</atitle><jtitle>JAMA internal medicine</jtitle><addtitle>JAMA Intern Med</addtitle><date>2015-10-01</date><risdate>2015</risdate><volume>175</volume><issue>10</issue><spage>1642</spage><epage>1649</epage><pages>1642-1649</pages><issn>2168-6106</issn><eissn>2168-6114</eissn><abstract>IMPORTANCE: Prescription Drug Monitoring Program (PDMP) and pill mill laws are among the principal means states use to reduce prescription drug abuse and diversion, yet little high-quality evidence exists regarding their effect. OBJECTIVE: To quantify the effect of Florida’s PDMP and pill mill laws on overall and high-risk opioid prescribing and use. DESIGN, SETTING, AND PARTICIPANTS: We applied comparative interrupted time-series analyses to IMS Health LifeLink LRx data to characterize the effect of PDMP and pill mill law implementation on a closed cohort of prescribers, retail pharmacies, and patients from July 2010 through September 2012 in Florida (intervention state) compared with Georgia (control state). We conducted sensitivity analyses, including varying length of observation and modifying requirements for continuous observation of individuals throughout the study period. MAIN OUTCOMES AND MEASURES: Total opioid volume, mean morphine milligram equivalent (MME) per transaction, mean days’ supply per transaction, and total number of opioid prescriptions dispensed. Analyses were conducted per prescriber and per patient, in aggregate and after stratifying by volume of baseline opioid prescribing for prescribers and use for patients. 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Sensitivity analyses, varying time windows, and enrollment criteria supported the main results. CONCLUSIONS AND RELEVANCE: Florida’s PDMP and pill mill laws were associated with modest decreases in opioid prescribing and use. Decreases were greatest among prescribers and patients with the highest baseline opioid prescribing and use.</abstract><cop>United States</cop><pub>American Medical Association</pub><pmid>26280092</pmid><doi>10.1001/jamainternmed.2015.3931</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Analgesics, Opioid - adverse effects
Drug and Narcotic Control - legislation & jurisprudence
Efficiency, Organizational
Female
Florida - epidemiology
Humans
Male
Middle Aged
Practice Patterns, Physicians' - statistics & numerical data
Prescription Drug Diversion - legislation & jurisprudence
Prescription Drug Diversion - prevention & control
Prescription Drug Misuse - statistics & numerical data
Prescription Drugs - adverse effects
Substance-Related Disorders - epidemiology
Substance-Related Disorders - prevention & control
title Effect of Florida’s Prescription Drug Monitoring Program and Pill Mill Laws on Opioid Prescribing and Use
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