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Preventing Pharmaceutical Abuse:
Prescription Monitoring Programs


                 Robert Twillman, PhD
     American Academy of Pain Management
     The University of Kansas Medical Center
Pain is a major public health issue
   80% of patients present for health care
    because of pain
   Chronic pain affects an estimated 116
    mission American adults
   Chronic pain costs up to $635 billion per year
    in medical treatment and lost productivity
How big is this issue?
   Problem        Number Affected   Annual Cost
 Chronic Pain        116 million    $635 billion


   Diabetes         17.5 million    $174 billion
    Cancer          11.7 million    $264 billion
 Heart disease,
                    27.1 million    $197 billion
  stroke, CHF
    TOTAL           56.3 million    $635 billion
Prescription Opioid Abuse is a
Public Health Issue
   2010 National Survey on Drug Use and
    Health (NSDUH):
       34.8 million Americans (12.8%) had used a
        pain reliever non-medically at least once in
        their lifetimes (18% increase from 2002)
       12.2 million Americans (4.1%) had used a
        pain reliever non-medically at least once in
        the past year (number stable since 2002)
Prescription Opioid Abuse is a
Public Health Issue
   Among those initiating substance use in the past
    year, pain relievers ranked behind only alcohol,
    cigars, cigarettes, and marijuana as the drug of
    choice
   1.9 million (0.6% of US population) had DSM-IV
    diagnosable dependence or abuse of pain
    relievers in the past year
   Based on a Montana study, estimated cost of
    prescription drug abuse is $6.1 billion per year
NSDUH Data Are Unclear
   Definition of “nonmedical use” is problematic
       12.2 million in the past year admit nonmedical
        use
       1.9 million qualify for a diagnosis
       This means 10.3 million are doing other things
            Recreational use
            Abuse without consequences
            Misuse to treat pain
   Does not mean we don’t have a problem
Prescription Opioid Abuse is
a Public Health Issue
   2009 Drug Abuse Warning Network data
    (DAWN; ED visits) :
       342,628 for opioid analgesics (137% increase from
        2004)
   2007 Treatment Episode Data Set (TEDS):
       Non-heroin opioids were primary drug of abuse for
        90,516 patients entering substance abuse treatment
        nationwide (456% increase from 1997)
Drug Treatment Admissions, Non-
Heroin Opioids as Primary Drug
Most-Abused Prescription Opioids:
2009 DAWN Data
Prescription Drug Misuse is
Dangerous
   More people now die from prescription
    drug misuse than from use of heroin and
    cocaine combined
   In 17 states, more people now die from
    prescription drug misuse than from
    automobile crashes
Recent Survey
   Teen-agers now say it is easier to get
    prescription drugs than it is to get beer




              National Center on Addiction and Substance Abuse, August 2008
Prescription Monitoring Programs
   Designed to track prescriptions for controlled
    substances as an means of identifying patterns
    indicative of abuse and diversion
   Initially set up in 1939 in California
   Prescription details are transmitted electronically
   Information can be obtained for patients by their
    treating prescribers and dispensers
   Law enforcement, licensing boards also can
    access information in most states
Prescription Monitoring Programs
   Many programs have been funded through
    start-up and into implementation phases
    by federal grants from the Bureau of
    Justice Assistance, Department of Justice
   Some have found sustainable sources of
    funding
   Others still need to address this issue
State PMP Status, 2003




                          Operating
                 No PMP   Programs
State PMP Status
November 5, 2011




      No Statute   PMP Pending   PMP Operating
States with Recent Bills
   Missouri: Bill passed House in 2011; will
    need to be reintroduced in 2012
   New Hampshire: Bill sent to House floor
    with recommendation for interim study
   Pennsylvania: Bill in House committee to
    expand coverage to all CS schedules and
    to allow access by providers
States Mandating Use of Advisory
Committees




                            Advisory
                           Committees
Housing Entities for PMPs
          2   1   1        Board of Pharmacy/Health
      1                    Dept./Single State
                           Authority
                           Law Enforcement
  6

                           Dept. of Public Safety


                           Professional Licensing


                           Dept. of Consumer
                           Protection

                           Office of Controlled
                      37   Substances
Assessing Outcomes of PMPs
   What are the expected outcomes from a
    PMP?
   What do we need to know?
   What do we already know?
   How can we go about verifying the
    outcomes?
PMP Outcome Domains
   The initial reason for PMPs was based in law
    enforcement; they may have other uses
   Outcomes can fall into three general domains
       Improved pain management
       Misuse/abuse/addiction detection
       Diversion deterrence, detection, and prosecution
   We need to evaluate outcomes in each of
    these three domains
PMP Outcome Domains:
Improved Pain Management

   Clinician review of PMP data may promote
    improved pain management
       Increased prescriber comfort that patient is
        not abusing/diverting
       Exposure of patterns of inadequate
        prescribing
       More accurate review of data than relying on
        patient self-report
PMP Outcome Domains:
Detection and Treatment of Addiction

   Clinician review of PMP data may lead to
    detection of drug abuse/addiction
       Aberrant patterns of medication use may spur
        in-depth assessment
       Such assessment may result in diagnosis of
        substance abuse/addiction
       If so, referral to substance abuse treatment is
        indicated
PMP Outcome Domains:
Preventing and Detecting Diversion

   Clinician review of PMP data may prevent
    or uncover diversion activities
       Knowledge of data review may prevent
        diversion activities (and/or shift source?)
       Aberrant patterns may spur in-depth
        assessment, leading to detection of diversion
       Legal and ethical obligations of clinician?
So, What Do You Know?


    Not much. You?
Normative Data: Katz et al. (2010)
   Analysis of 11 years’ data from Massachusetts
    PMP
   This PMP covered only Schedule II medications
   Did not allow access to data by healthcare
    providers
   Goal: Describe normative patterns of
    prescription use by Massachusetts residents
    during this time frame; define “questionable
    activity”
Normative Data: Katz et al. (2010)
Trends in C-II Prescribing
   Number of prescriptions increased by 142% during
    this time frame
   Doses dispensed increased by 292%
      Greatest increase was for short-acting oxycodone

   Number of estimated individual recipients increased
    by 71%
      Approximately 11% of Massachusetts residents
       received C-II prescriptions in 2006
Normative Data:
Prescribers & Dispensers (2006)
                     Prescribers   Dispensers

Mean Number          1.36 + 0.93   1.13 + 0.52

Median Number            1             1

% Using 1 or 2         92.3%         97.5%

% Using 10 or More      0.1%         0.02%
Normative Data: Katz et al. (2010)
Early Refills
   Defined as two consecutive prescriptions for the
    same individual/same drug, with the number of
    days between prescriptions being > 10% lower
    than number of days’ supply in first prescription
   Mean was 0.12 (+ 0.67); median was 0
   93.1% had NO early refills
   Fewer than 1% had more than three
Normative Data: Katz et al. (2010)
“Questionable Activity”
   Defined as use of > 3 prescribers AND > 3 pharmacies in 2006:
        1.6% of individuals (n = 8797)
        7.7% of prescriptions (n = 112,381)
        8.5% of dosage units (n = 7,622,840)
   Defined as use of > 4 prescribers AND > 4 pharmacies in 2006:
        0.5% of individuals (n = 2748)
        3.1% of prescriptions (n = 45,102)
        3.1% of dosage units (n = 2,805,613)
   Defined as use of > 5 prescribers AND > 5 pharmacies in 2006:
        0.2% of individuals (n = 1149)
        1.5% of prescriptions (n = 22,075)
        1.4% of dosage units (n = 1,247,666)
   For all criteria, numbers increased 1996 to 2002, then decreased to
    2006
Examples from Early Queries
(KS)
 Top 5 utilizers of pharmacies (9 months):
    Wichita: 28 pharmacies/31 prescribers
    Stilwell: 21 pharmacies/23 prescribers
    Olathe: 20 pharmacies/26 prescribers
    Paola: 20 pharmacies/28 prescribers
    Olathe: 18 pharmacies/24 prescribers
 These 5 utilizers received 1842 days’ supply of
  controlled substances, totaling 5833 dosage units
Examples from Early Queries
(KS)
 Top 5 utilizers of prescribers (9 months):
    Topeka: 45 prescribers/11 pharmacies
      After 12 months, 80 prescribers/61
        pharmacies, 1788 days’ supply
    Overland Park: 37 prescribers/13 pharmacies
    Wichita: 31 prescribers/28 pharmacies
    Wichita: 30 prescribers/15 pharmacies
    Mission: 30 prescribers/16 pharmacies
 These 5 utilizers received 3197 days’ supply of
  controlled substances, totaling 14,282 dosage units
PMPs and Overdose Death Rates
   Study in Pain Medicine (Paulozzi, Kilbourne, &
    Desai, 2011)
   Examined opioid consumption in states from
    1999-2005
   Studied effects of PMPs on rates of drug
    overdose mortality, opioid overdose
    mortality, and opioid consumption
   Also examined effects of some PMP
    characteristics
PMPs and Overdose Death Rates:
Key Findings (PMP vs. no PMP)
   No significant differences in rates of drug or
    opioid overdose mortality or opioid use
   No effect for proactive reporting
   More hydrocodone, less C-IIs consumed in PMP
    states
   Rates of increase in OD mortality and opioid
    consumption were lower in states requiring use
    of special prescription forms
PMPs and Overdose Death Rates:
Explanations, Potential Confounds
   Increased C-III use may reflect substitution
    effect due to some states not monitoring C-IIs
   No control for availability of data to clinicians
   No control for utilization of PMP in each state
   Decreases in consumption due to elimination of
    “doctor shoppers” may be offset by increased
    prescribing due to reassurance provided by
    PMP report data
   Conclusion: “TBU”
What Should We Expect to Find
in Reviewing Reports?
   For each 100 PMP reports reviewed, how
    many “cases” of SUD and “doctor
    shopping” should we expect to find?
   Relatively no data on this, but it will
    probably look like this:
       85% of reports will be completely “clean”
       14.5% of reports will cause concerns
       0.5% of reports will show “doctor shopping”
Research Needs
   Normative data
   Effects of PMPs on the three outcome
    domains
   Specific qualities of PMPs that are most
    conducive to achieving desired effects
   Cost/benefit analysis
What’s Next for PMPs?
   Interstate data sharing
       Hub run by National Association of Boards of
        Pharmacy, called PMP InterConnect
       In first 60 days, processed 13,600 requests
       Average response time: 15.07 seconds
PMP Interconnect Status
  November 5, 2011




           PMPI       PMPI Pending   PMPI Operating
         Considered
What’s Next for PMPs?
   Efforts to make checking the PMP
    mandatory before controlled substances
    are prescribed
   Increased recognition of need for
    meaningful outcome data
   Shorter timelines for dispensers to report
   Inclusion of dispensing physicians
Future Efforts
   Increase evaluation of PMPs’ impacts
   Enhance awareness and utilization
   Improve resources for pain and substance
    abuse assessment and treatment
   Enhance real-time capability
   Assess utility of Advisory Committees
   Evaluate cost effectiveness
Thank You!

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Twillman preventing rx abuse

  • 1. Preventing Pharmaceutical Abuse: Prescription Monitoring Programs Robert Twillman, PhD American Academy of Pain Management The University of Kansas Medical Center
  • 2. Pain is a major public health issue  80% of patients present for health care because of pain  Chronic pain affects an estimated 116 mission American adults  Chronic pain costs up to $635 billion per year in medical treatment and lost productivity
  • 3. How big is this issue? Problem Number Affected Annual Cost Chronic Pain 116 million $635 billion Diabetes 17.5 million $174 billion Cancer 11.7 million $264 billion Heart disease, 27.1 million $197 billion stroke, CHF TOTAL 56.3 million $635 billion
  • 4. Prescription Opioid Abuse is a Public Health Issue  2010 National Survey on Drug Use and Health (NSDUH):  34.8 million Americans (12.8%) had used a pain reliever non-medically at least once in their lifetimes (18% increase from 2002)  12.2 million Americans (4.1%) had used a pain reliever non-medically at least once in the past year (number stable since 2002)
  • 5. Prescription Opioid Abuse is a Public Health Issue  Among those initiating substance use in the past year, pain relievers ranked behind only alcohol, cigars, cigarettes, and marijuana as the drug of choice  1.9 million (0.6% of US population) had DSM-IV diagnosable dependence or abuse of pain relievers in the past year  Based on a Montana study, estimated cost of prescription drug abuse is $6.1 billion per year
  • 6. NSDUH Data Are Unclear  Definition of “nonmedical use” is problematic  12.2 million in the past year admit nonmedical use  1.9 million qualify for a diagnosis  This means 10.3 million are doing other things  Recreational use  Abuse without consequences  Misuse to treat pain  Does not mean we don’t have a problem
  • 7. Prescription Opioid Abuse is a Public Health Issue  2009 Drug Abuse Warning Network data (DAWN; ED visits) :  342,628 for opioid analgesics (137% increase from 2004)  2007 Treatment Episode Data Set (TEDS):  Non-heroin opioids were primary drug of abuse for 90,516 patients entering substance abuse treatment nationwide (456% increase from 1997)
  • 8. Drug Treatment Admissions, Non- Heroin Opioids as Primary Drug
  • 10. Prescription Drug Misuse is Dangerous  More people now die from prescription drug misuse than from use of heroin and cocaine combined  In 17 states, more people now die from prescription drug misuse than from automobile crashes
  • 11. Recent Survey  Teen-agers now say it is easier to get prescription drugs than it is to get beer National Center on Addiction and Substance Abuse, August 2008
  • 12. Prescription Monitoring Programs  Designed to track prescriptions for controlled substances as an means of identifying patterns indicative of abuse and diversion  Initially set up in 1939 in California  Prescription details are transmitted electronically  Information can be obtained for patients by their treating prescribers and dispensers  Law enforcement, licensing boards also can access information in most states
  • 13. Prescription Monitoring Programs  Many programs have been funded through start-up and into implementation phases by federal grants from the Bureau of Justice Assistance, Department of Justice  Some have found sustainable sources of funding  Others still need to address this issue
  • 14. State PMP Status, 2003 Operating No PMP Programs
  • 15. State PMP Status November 5, 2011 No Statute PMP Pending PMP Operating
  • 16. States with Recent Bills  Missouri: Bill passed House in 2011; will need to be reintroduced in 2012  New Hampshire: Bill sent to House floor with recommendation for interim study  Pennsylvania: Bill in House committee to expand coverage to all CS schedules and to allow access by providers
  • 17. States Mandating Use of Advisory Committees Advisory Committees
  • 18. Housing Entities for PMPs 2 1 1 Board of Pharmacy/Health 1 Dept./Single State Authority Law Enforcement 6 Dept. of Public Safety Professional Licensing Dept. of Consumer Protection Office of Controlled 37 Substances
  • 19. Assessing Outcomes of PMPs  What are the expected outcomes from a PMP?  What do we need to know?  What do we already know?  How can we go about verifying the outcomes?
  • 20. PMP Outcome Domains  The initial reason for PMPs was based in law enforcement; they may have other uses  Outcomes can fall into three general domains  Improved pain management  Misuse/abuse/addiction detection  Diversion deterrence, detection, and prosecution  We need to evaluate outcomes in each of these three domains
  • 21. PMP Outcome Domains: Improved Pain Management  Clinician review of PMP data may promote improved pain management  Increased prescriber comfort that patient is not abusing/diverting  Exposure of patterns of inadequate prescribing  More accurate review of data than relying on patient self-report
  • 22. PMP Outcome Domains: Detection and Treatment of Addiction  Clinician review of PMP data may lead to detection of drug abuse/addiction  Aberrant patterns of medication use may spur in-depth assessment  Such assessment may result in diagnosis of substance abuse/addiction  If so, referral to substance abuse treatment is indicated
  • 23. PMP Outcome Domains: Preventing and Detecting Diversion  Clinician review of PMP data may prevent or uncover diversion activities  Knowledge of data review may prevent diversion activities (and/or shift source?)  Aberrant patterns may spur in-depth assessment, leading to detection of diversion  Legal and ethical obligations of clinician?
  • 24. So, What Do You Know? Not much. You?
  • 25. Normative Data: Katz et al. (2010)  Analysis of 11 years’ data from Massachusetts PMP  This PMP covered only Schedule II medications  Did not allow access to data by healthcare providers  Goal: Describe normative patterns of prescription use by Massachusetts residents during this time frame; define “questionable activity”
  • 26. Normative Data: Katz et al. (2010) Trends in C-II Prescribing  Number of prescriptions increased by 142% during this time frame  Doses dispensed increased by 292%  Greatest increase was for short-acting oxycodone  Number of estimated individual recipients increased by 71%  Approximately 11% of Massachusetts residents received C-II prescriptions in 2006
  • 27. Normative Data: Prescribers & Dispensers (2006) Prescribers Dispensers Mean Number 1.36 + 0.93 1.13 + 0.52 Median Number 1 1 % Using 1 or 2 92.3% 97.5% % Using 10 or More 0.1% 0.02%
  • 28. Normative Data: Katz et al. (2010) Early Refills  Defined as two consecutive prescriptions for the same individual/same drug, with the number of days between prescriptions being > 10% lower than number of days’ supply in first prescription  Mean was 0.12 (+ 0.67); median was 0  93.1% had NO early refills  Fewer than 1% had more than three
  • 29. Normative Data: Katz et al. (2010) “Questionable Activity”  Defined as use of > 3 prescribers AND > 3 pharmacies in 2006:  1.6% of individuals (n = 8797)  7.7% of prescriptions (n = 112,381)  8.5% of dosage units (n = 7,622,840)  Defined as use of > 4 prescribers AND > 4 pharmacies in 2006:  0.5% of individuals (n = 2748)  3.1% of prescriptions (n = 45,102)  3.1% of dosage units (n = 2,805,613)  Defined as use of > 5 prescribers AND > 5 pharmacies in 2006:  0.2% of individuals (n = 1149)  1.5% of prescriptions (n = 22,075)  1.4% of dosage units (n = 1,247,666)  For all criteria, numbers increased 1996 to 2002, then decreased to 2006
  • 30. Examples from Early Queries (KS)  Top 5 utilizers of pharmacies (9 months):  Wichita: 28 pharmacies/31 prescribers  Stilwell: 21 pharmacies/23 prescribers  Olathe: 20 pharmacies/26 prescribers  Paola: 20 pharmacies/28 prescribers  Olathe: 18 pharmacies/24 prescribers  These 5 utilizers received 1842 days’ supply of controlled substances, totaling 5833 dosage units
  • 31. Examples from Early Queries (KS)  Top 5 utilizers of prescribers (9 months):  Topeka: 45 prescribers/11 pharmacies  After 12 months, 80 prescribers/61 pharmacies, 1788 days’ supply  Overland Park: 37 prescribers/13 pharmacies  Wichita: 31 prescribers/28 pharmacies  Wichita: 30 prescribers/15 pharmacies  Mission: 30 prescribers/16 pharmacies  These 5 utilizers received 3197 days’ supply of controlled substances, totaling 14,282 dosage units
  • 32. PMPs and Overdose Death Rates  Study in Pain Medicine (Paulozzi, Kilbourne, & Desai, 2011)  Examined opioid consumption in states from 1999-2005  Studied effects of PMPs on rates of drug overdose mortality, opioid overdose mortality, and opioid consumption  Also examined effects of some PMP characteristics
  • 33. PMPs and Overdose Death Rates: Key Findings (PMP vs. no PMP)  No significant differences in rates of drug or opioid overdose mortality or opioid use  No effect for proactive reporting  More hydrocodone, less C-IIs consumed in PMP states  Rates of increase in OD mortality and opioid consumption were lower in states requiring use of special prescription forms
  • 34. PMPs and Overdose Death Rates: Explanations, Potential Confounds  Increased C-III use may reflect substitution effect due to some states not monitoring C-IIs  No control for availability of data to clinicians  No control for utilization of PMP in each state  Decreases in consumption due to elimination of “doctor shoppers” may be offset by increased prescribing due to reassurance provided by PMP report data  Conclusion: “TBU”
  • 35. What Should We Expect to Find in Reviewing Reports?  For each 100 PMP reports reviewed, how many “cases” of SUD and “doctor shopping” should we expect to find?  Relatively no data on this, but it will probably look like this:  85% of reports will be completely “clean”  14.5% of reports will cause concerns  0.5% of reports will show “doctor shopping”
  • 36. Research Needs  Normative data  Effects of PMPs on the three outcome domains  Specific qualities of PMPs that are most conducive to achieving desired effects  Cost/benefit analysis
  • 37. What’s Next for PMPs?  Interstate data sharing  Hub run by National Association of Boards of Pharmacy, called PMP InterConnect  In first 60 days, processed 13,600 requests  Average response time: 15.07 seconds
  • 38. PMP Interconnect Status November 5, 2011 PMPI PMPI Pending PMPI Operating Considered
  • 39. What’s Next for PMPs?  Efforts to make checking the PMP mandatory before controlled substances are prescribed  Increased recognition of need for meaningful outcome data  Shorter timelines for dispensers to report  Inclusion of dispensing physicians
  • 40. Future Efforts  Increase evaluation of PMPs’ impacts  Enhance awareness and utilization  Improve resources for pain and substance abuse assessment and treatment  Enhance real-time capability  Assess utility of Advisory Committees  Evaluate cost effectiveness