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)
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
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
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?
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
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