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Third-Party Payer Track:
Financial Toll of Rx Addiction
Presenters:
• Chao Zhou, PhD, Economist, National Center for Injury
Prevention and Control, CDC
• Stephen N. Fisher, MD, PhD, Medical Advisor to the CEO,
Chesapeake Employers’ Insurance Company
• Asheley Cockrell Skinner, PhD, Associate Professor, Injury
Prevention Research Center, UNC - Chapel Hill
Moderator: Grant T. Baldwin, PhD, MPH, Director, Division of
Unintentional Injury Prevention, National Center for Injury
Prevention and Control, CDC, and Member, Rx Summit
National Advisory Board
Disclosures
Chao Zhou, PhD; Stephen N. Fisher, MD, PhD; Asheley
Cockrell Skinner, PhD; and Grant T. Baldwin, PhD, MPH,
have disclosed no relevant, real, or apparent personal
or professional financial relationships with proprietary
entities that produce healthcare goods and services.
Disclosures
• All planners/managers hereby state that they or their
spouse/life partner do not have any financial
relationships or relationships to products or devices
with any commercial interest related to the content of
this activity of any amount during the past 12 months.
• The following planners/managers have the following to
disclose:
– Kelly Clark – Employment: Publicis Touchpoint Solutions;
Consultant: Grunenthal US
– Robert DuPont – Employment: Bensinger, DuPont &
Associates-Prescription Drug Research Center
– Carla Saunders – Speaker’s bureau: Abbott Nutrition
Learning Objectives
1. Identify national trends in opioid use and
expenditures.
2. Outline strategies to identify and manage
high-risk claims within the workers’
compensation population.
3. Describe the North Carolina Medicaid Lock-In
Program.
The PowerPoint presented by
Chao Zhou, PhD,
has been removed
at presenter’s request.
Third-Party Payer Track:
Financial Toll of Rx Addiction
Stephen Fisher, M.D., Ph.D.
Medical Advisor to the CEO
Director of Health Services
Chesapeake Employers’ Insurance Company
April 8, 2015
Disclosure
• Stephen Fisher, MD., Ph.D., has disclosed no
relevant, real or apparent personal or
professional financial relationships with
proprietary entities that produce health care
goods and services.
Learning Objectives
1. Identify national trends in opioid use and
expenditures.
2. Outline strategies to identify and manage
high-risk claims within the workers’
compensation population.
3. Describe the North Carolina Medicaid Lock-In
Program.
Drug and Alcohol-Related Intoxication
Deaths in Maryland, 2013
Maryland Department of Health and Mental Hygiene
http://dhmh.Maryland.gov/data/Documents/2013%20final%20intoxication%20report.pdf
Opiate Prescribing by State
Source: http://www.riskandinsurance.com/wc-narcotics-abuse/
Chesapeake Employers’ Overview
• Insures primarily small to medium employers- approx. 21,000
policy holders
• Large percentage of policyholders in construction and the
trades
• Insures 70% of all Maryland municipalities and counties
• Third party administrator for the State of Maryland
Why a Work Comp Problem?
Higher amounts of narcotics in treating acute work-related
low back pain cause injured workers to be:
• away from work longer (up to 69 days longer)
• have higher medical costs
• be 3X more likely to have surgery
• have a 6X greater chance of using narcotics beyond
the recommended time
WorkComp Central 7/20/09
Chesapeake Employers / IWIF
Top 10 Manual Class Codes Associated with Top 10 Drug Cost
STATE EMPLOYEE -- NON-HAZARDOUS WORK
CARPENTRY PRIVATE RESIDENCES
TOWNSHIP, MUNICIPALITY; ALL EMP EXCL CLERICAL, POLICE & FIRE
CLERICAL OFFICE EMPLOYEES N O C
COUNTIES, ALL EMPLOYEES EXCLUDING POLICE AND FIREFIGHTERS
PLUMBING NOC & DRIVERS
GAS STATION-FULL SERVICE/AUTO REPAIR
TRUCKING: LOCAL HAULING ONLY-ALL EMPLOYEES
CONVAL NURSE HOMES-ALL EMPLOYEES
ELECT WIRING WITHIN BLDGS & DRIVERS
Chesapeake Employers / IWIF
2014 Rx Count by State and Private Business
All Drugs
All Groups By Group State By Group Private
Age # Rxs Age # Rxs Age # Rxs
54 2126 54 889 54 1237
53 1919 60 888 55 1143
50 1844 53 886 50 1070
55 1751 48 869 51 1066
51 1637 50 774 53 1033
60 1591 49 652 56 955
48 1567 63 638 46 919
49 1527 59 637 49 875
44 1495 45 634 44 862
52 1471 44 633 52 854
Source: ExpressScripts
Prescription Drug Problem in Maryland
Workers’ Comp
• There is a guaranteed payer, no co-pays, and freedom to
choose practitioner
• Opioids make up to 3 percent of costs in shorter term claims
and between 15 and 20 percent of all medical costs in longer
term claims
• Travelers estimates medical costs currently make up 60
percent of workers’ comp claim costs and are projected to
increase to 67 percent by 2019
• Narcotics account for 25% of drug costs (NCCI, September 26,
2013)
• Utilization is a major driver in cost changes (NCCI, September
26, 2013)
Insurance Business May 17, 2013- Opioid Epidemic Plagues Workers’ Comp
Key Cost Areas for
Workers’ Compensation
• Epidemic of opioid use, overuse and abuse (prescribing,
utilization)
• Physician dispensing
• Costs associated with compound medications
• Converting brand opioids to generic alternatives
Chesapeake Employers-Prescribers by Specialty
Rank by
Cost Specialty
% of
Rxs
% of
Cost
# of Rxs
with MED
> 90
1 Physical Medicine & Rehabilitation 10.9% 14.4% 662
2 Internal Medicine 12.9% 13.9% 195
3 Physician Assistant 12.6% 11.5% 687
4 Nurse Practitioner 9.8% 10.2% 595
5 Family Medicine 8.4% 8.0% 220
6 Specialist 6.1% 5.9% 198
7 Psychiatry & Neurology 5.7% 5.8% 73
8 Pain Medicine 3.6% 5.8% 274
9 Anesthesiology 4.5% 4.9% 271
10 Orthopaedic Surgery 6.5% 3.2% 220
11 Registered Nurse 1.1% 2.2% 96
12 General Practice 1.5% 1.4% 291
13 Clinical Nurse Specialist 0.2% 0.8% 23
14 Neurological Surgery 1.4% 0.8% 55
15 Emergency Medicine 1.2% 0.6% 30
16 Surgery 0.7% 0.6% 24
Chesapeake Employers
Pharmacy/ Opioids - Interventions
• Early opioid utilization 60-90 days following injury
• Narcotic alert reporting
• Evidence-based-guidelines
• Alerts for MED > 120
• Narcotic scripts continuing 90 days following the
injury
• Houston cocktail report
• Formulary control using days from injury,
duration and number of refills
• Red flags in duplicate therapy, early refills,
multiple prescribers, poly-pharmacies
• Peer reviews, Independent Medical Evaluations
Chesapeake Employers’
Program Initiatives
• Pharmacy Benefit Manager (PBM) partnership on Fraud, Waste and
Abuse
• Pain Management group
• Pharmacy Nurse
• Behavioral Health Assessments
• Functional Restoration Programs
• Multidisciplinary Back Program
• State Regulatory Health Agency
• Identifying groups prescribing and or dispensing inappropriately
• Education of injured workers of the dangers of long term opioids
• Soft tissue algorithm to prevent medical and drug over utilization
RESULTS OF PHARMACY
INITIATIVES
Chesapeake Employers
2014 Percentage and Average of Narcotics Rxs
% Narcotics to total rxs Average narcotic rxs/claim
13
12 11
10
2011 2012 2013 2014
69%
66%
65%
61%
56%
58%
60%
62%
64%
66%
68%
70%
2011 2012 2013 2014
Chesapeake Employers’
Pharmacy Cost to Medical Cost
• 2014= 7.8%
• 2013= 11.8%
• 2012= 11.6%
• 2011= 11.4%
According to NCCI, national workers’ comp pharmacy spend is 19%
of total medical cost.
Chesapeake Employers -Top Therapy
Classes by % of plan cost & Rx count
0%
5%
10%
15%
20%
25%
30%
35%
% of
Plan Cost
% Rx Count
Chesapeake Employers - Top 10 Drugs By Percentage
of Plan Cost and Script Count in 2014
0%
2%
4%
6%
8%
10%
12%
% of
Plan Cost
% Rx Count
Express Scripts
Chesapeake Employers' Results-
Brand to Generic Initiative
Started in 2014
% generic
Rx count
% generic
cost
%
brand
Rx count
%
brand
cost
2014 82% 49% 18% 51%
2013 76% 38% 24% 62%
Chesapeake Employers
Drug Therapy Class Percentage of Yearly
Cost Variance
YEAR
2011 to
2012
2012 to
2013
2013 to
2014
OPIOID AGONISTS 14.32% -0.12% 4.34%
ANTICONVULSANTS-MISC 0.67% -15.42% 0.22%
OPIOID COMBINATIONS 9.77% 2.14% -6.89%
CENTRAL MUSCLE RELAXANTS 7.72% -8.26% 0.91%
NSAIDS- ANTI-INFLAMMATORY -8.68% -21.54% 6.76%
Chesapeake Employers
Top Five Drugs
Percentage of Yearly Cost Variance
YEAR
2011 to
2012
2012 to
2013
2013 to
2014
Oxycontin 13.84% 1.97% 3.07%
Lyrica 3.53% -19.36% -1.44%
Oxycodone HCL 1.60% -8.52% -40.67%
Oxycodone-
Acetaminophen 13.47% -9.51% -43.21%
Gabapentin 4.48% -15.60% -4.00%
Chesapeake Employers’
Office Dispensing Strategy
Office Dispensing- Maryland has no pharmacy fee schedule
• Re-pricing of dispensed drugs to PBM pricing
• Data analytics - prescribing data and by medical specialty
• PBM educational mailings to injured workers regarding
prescription drugs
• Direct outreach to injured worker by adjuster or nurse case
managers
2014 Office Dispensing for a
Pain Management Practice
• Large pain management practice with large number of
physician extenders
• # distinct claims - 187 # of overall office visits - 1,208
office visits
• # of visits with a drug dispensed - 155 of the visits (238
scripts)
• 13% of visits with drug dispensed
• 1.5 scripts per visits
Chesapeake Employers
2014 Office Drug Dispensing
All Office Dispensing
0%
5%
10%
15%
20%
25%
30%
% cost
% scripts
Select office group
0%
5%
10%
15%
20%
25%
30%
35%
40%
% cost
% scripts
Select Office Group - Prescribers
Designation
% of Total Rx
Count
% of Total Plan
Cost
CRNP 77.52% 87.27%
MD/DO 21.28% 11.80%
PA 1.20% 0.94%
Chesapeake Employers’
Compound Drugs Initiatives
• Implementation of Chesapeake Employers’ evidence-based
Medical Policy
• Re-price each drug in compound mixture back to original
NDC#
• Peer reviews/ Independent Medical Evaluations
• Evaluate continued therapy upon pain reduction or
improvement in function
Chesapeake Employers’
Compound Drug Results
Year Rx Count Plan Cost
2014 148 $ 122,896.45
2013 233 $ 190,582.61
2012 194 $ 100,021.24
2011 311 $ 101,699.59
Conclusion-Key Points
• Build pain management expertise
• Provide early intervention!!!!
• Identify cost drivers
• Implement strategies to mitigate drug use, costs and abuse
• Reduce legacy claims
• Utilize evidence-based-medicine
• Identify red flags for at risk workers and prescribers
• Partner with Pharmacy Benefit Manager
• Explore Data Analytics
• Increase number of appropriate settlements
THANK YOU!
Stephen Fisher, M.D., Ph.D.
Sfisher@ceiwc.com
410-494-2173
8722 Loch Raven Blvd.
Towson, MD 21286
Using a PDMP
to Understand the True Effects
of a Medicaid Program
Targeting Opioid Misuse
Asheley Cockrell Skinner, PhD
Associate Professor
Injury Prevention Research Center
University of North Carolina at Chapel Hill
Disclosure Statement
Asheley Cockrell Skinner, PhD, has
disclosed no relevant, real, or apparent
personal or professional relationships with
proprietary entities that produce health
care goods and services.
Learning Objectives
• Identify national trends in opioid use and
expenditures.
• Outline strategies to identify and manage high-risk
claims within the workers’ compensation population.
• Describe the North Carolina Medicaid Lock-In
Program.
History: North Carolina
Medicaid Lock-In Program
• Medicaid-based programs are used to
minimize controlled substance misuse and
abuse, and improve continuity of care
– Mortality from overdose in Medicaid-eligible
populations is 5-7 times that of the general
population
– Medicaid Lock-In Programs are one such effort
• Recommended by the Center for Medicare and
Medicaid Services
History: North Carolina
Medicaid Lock-In Program
• Medicaid Lock-In Programs
– Constrain patients to a single pharmacy and/or
provider for their controlled substance
medications
• Improves the monitoring of controlled substance use
across multiple points in the health care system
– Virtually all states have them, though their design
varies widely
NC Medicaid Lock-In Program
• 2009 GAO audit showed NC as 1 of 5 states
with an unusually large number of controlled
substance claims
• North Carolina MLIP developed in response
– Implemented in October 2010
NC MLIP Eligibility Details
• Eligibility - In 2 consecutive months:
– Fill 6 or more opioid or benzodiazepine
prescriptions;
– Receive opioid or benzodiazepine prescriptions
from 3 or more unique providers; and/or
– Receive a direct provider referral
• Locked in for 12 months
– May utilize only 1 prescriber and 1 pharmacy, self-
specified, for all opioid or benzodiazepine
prescriptions
The MLIP Loophole:
Circumvention
• If there is no Medicaid claim associated with a
purchase (cash payment), prescriptions may
be obtained without being monitored
– Minimizes clinical and economic impact of Lock-In
programs
• Prescriptions may be misused, abused, or diverted
• Wastes Medicaid resources devoted to MLIP
administration
Research Objectives
1. Determine the effect of enrollment in the NC
MLIP on opioid prescriptions, including
volume, prescribers, and costs.
2. Determine the effect of enrollment in the NC
MLIP on circumvention of opioid
prescriptions.
Study Design
• Pre-post MLIP enrollment comparison
– October 2009 – June 2013
• One year prior to the initiation of the MLIP through the
first two years of implementation
• Controls
– Multiple observations used to minimize the effects
of regression to the mean
– Enrollment in the MLIP occurs for a group of
individuals each month, minimizing temporal
effects
Data Sources
1. North Carolina Medicaid Claims
2. North Carolina Controlled Substance Reporting
System (CSRS)
– State Prescription Drug Monitoring Program (PDMP)
– Does not capture Medicaid ID or other shared
identifiers
Records between these two systems were matched by
hand at the NC Division of Medical Assistance (DMA)
– Used names, addresses, dates of birth
– De-identified prior to acquisition by UNC
Analytic Approach
• Statistical models took advantage of
longitudinal nature of data
• Analysis based on restricted maximum
likelihood (REML) estimation mixed effects
regression model
– Controlled for within-individual correlations and
time effects
Population
4352 individuals | 99,798 months of data
Demographics
(n=4352)
AGE 35.23
SEX
Female 69.18
Male 30.82
RACE
White 77.91
Black 16.78
Other 5.31
Medicaid Claims Results
4352 individuals | 99,798 months of data
Opioid Claims Averages for MLIP Cohort
(by whether or not enrolled that month)
Overall Not Enrolled Enrolled p
Opioids
Any opioid claim 57.5 64.8 37.9 <0.001
Number of prescriptions 1.44 1.64 0.84 <0.001
Number of prescribers 0.51 0.56 0.35 <0.001
Total days supply received 22.67 23.72 19.48 <0.001
Total units received 86.1 91.97 68.32 <0.001
Total Medicaid payments 104.07 101.12 113.01 <0.001
Medicaid Claims Results
4352 individuals | 99,798 months of data
Multivariable Analysis of the Effect of MLIP Enrollment on Opioid Use
Unadjusted Adjusted
OR SE p OR SE p
Any prescription 0.19 0.002 <0.001 0.12 0.002 <0.001
B SE p B SE p
Number of prescriptions -1.16 0.012 <0.001 -1.16 0.012 <0.001
Number of prescribers -0.48 0.006 <0.001 -0.48 0.006 <0.001
Total days supply received -10.02 0.19 <0.001 -9.96 0.19 <0.001
Total units received -41.62 0.88 <0.001 -41.52 0.88 <0.001
Total Medicaid payments -23.75 2.56 <0.001 -23.85 2.58 <0.001
Multivariable Analysis of the Effect of MLIP Enrollment
on Opioid Circumvention
Unadjusted Adjusted
OR SE p OR SE p
Any circumvention 5.07 0.09 <0.001 5.11 0.14 <0.001
B SE p B SE p
Number of prescriptions 0.58 0.01 <0.001 0.58 0.01 <0.001
Prescribers 0.47 0.01 <0.001 0.48 0.01 <0.001
Units 23.33 0.80 <0.001 23.36 0.80 <0.001
Days supply 5.77 0.15 <0.001 5.76 0.15 <0.001
Circumvention Results
4352 individuals | 99,798 months of data
Potential MLIP Benefits
• Appropriate use of controlled substances -
reduced number of prescriptions and volume
per prescription
– Improved quality of care
– Cost savings
Potential MLIP Limitations
• Enrollees may be denied access to needed
medications
• Circumvention may have a significant impact
on the effectiveness of the MLIP
– Medicaid covers medical care related to
circumvented prescriptions
Lessons Learned
• Integrating PDMP and Medicaid claims allows
for a different picture of the effect of
Medicaid-based programs
– Future improvement to PDMPs should consider
shared identifiers to permit linkages
Conclusions
• Limited evaluation of MLIPs
– Appear to reduce opioid prescriptions
– Many opioids are relatively inexpensive – enrollees
may attempt to circumvent the system by paying cash
• Limited information sharing between Medicaid
and PDMPs
– Need PDMPs to collect and share payment methods
– Need the sharing of a random unique identifier for
linking purposes
Third-Party Payer Track:
Financial Toll of Rx Addiction
Presenters:
• Chao Zhou, PhD, Economist, National Center for Injury
Prevention and Control, CDC
• Stephen N. Fisher, MD, PhD, Medical Advisor to the CEO,
Chesapeake Employers’ Insurance Company
• Asheley Cockrell Skinner, PhD, Associate Professor, Injury
Prevention Research Center, UNC - Chapel Hill
Moderator: Grant T. Baldwin, PhD, MPH, Director, Division of
Unintentional Injury Prevention, National Center for Injury
Prevention and Control, CDC, and Member, Rx Summit
National Advisory Board

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Rx15 tpp wed_1115_2_fisher_3skinner

  • 1. Third-Party Payer Track: Financial Toll of Rx Addiction Presenters: • Chao Zhou, PhD, Economist, National Center for Injury Prevention and Control, CDC • Stephen N. Fisher, MD, PhD, Medical Advisor to the CEO, Chesapeake Employers’ Insurance Company • Asheley Cockrell Skinner, PhD, Associate Professor, Injury Prevention Research Center, UNC - Chapel Hill Moderator: Grant T. Baldwin, PhD, MPH, Director, Division of Unintentional Injury Prevention, National Center for Injury Prevention and Control, CDC, and Member, Rx Summit National Advisory Board
  • 2. Disclosures Chao Zhou, PhD; Stephen N. Fisher, MD, PhD; Asheley Cockrell Skinner, PhD; and Grant T. Baldwin, PhD, MPH, have disclosed no relevant, real, or apparent personal or professional financial relationships with proprietary entities that produce healthcare goods and services.
  • 3. Disclosures • All planners/managers hereby state that they or their spouse/life partner do not have any financial relationships or relationships to products or devices with any commercial interest related to the content of this activity of any amount during the past 12 months. • The following planners/managers have the following to disclose: – Kelly Clark – Employment: Publicis Touchpoint Solutions; Consultant: Grunenthal US – Robert DuPont – Employment: Bensinger, DuPont & Associates-Prescription Drug Research Center – Carla Saunders – Speaker’s bureau: Abbott Nutrition
  • 4. Learning Objectives 1. Identify national trends in opioid use and expenditures. 2. Outline strategies to identify and manage high-risk claims within the workers’ compensation population. 3. Describe the North Carolina Medicaid Lock-In Program.
  • 5. The PowerPoint presented by Chao Zhou, PhD, has been removed at presenter’s request.
  • 6. Third-Party Payer Track: Financial Toll of Rx Addiction Stephen Fisher, M.D., Ph.D. Medical Advisor to the CEO Director of Health Services Chesapeake Employers’ Insurance Company April 8, 2015
  • 7. Disclosure • Stephen Fisher, MD., Ph.D., has disclosed no relevant, real or apparent personal or professional financial relationships with proprietary entities that produce health care goods and services.
  • 8. Learning Objectives 1. Identify national trends in opioid use and expenditures. 2. Outline strategies to identify and manage high-risk claims within the workers’ compensation population. 3. Describe the North Carolina Medicaid Lock-In Program.
  • 9. Drug and Alcohol-Related Intoxication Deaths in Maryland, 2013 Maryland Department of Health and Mental Hygiene http://dhmh.Maryland.gov/data/Documents/2013%20final%20intoxication%20report.pdf
  • 10. Opiate Prescribing by State Source: http://www.riskandinsurance.com/wc-narcotics-abuse/
  • 11. Chesapeake Employers’ Overview • Insures primarily small to medium employers- approx. 21,000 policy holders • Large percentage of policyholders in construction and the trades • Insures 70% of all Maryland municipalities and counties • Third party administrator for the State of Maryland
  • 12. Why a Work Comp Problem? Higher amounts of narcotics in treating acute work-related low back pain cause injured workers to be: • away from work longer (up to 69 days longer) • have higher medical costs • be 3X more likely to have surgery • have a 6X greater chance of using narcotics beyond the recommended time WorkComp Central 7/20/09
  • 13. Chesapeake Employers / IWIF Top 10 Manual Class Codes Associated with Top 10 Drug Cost STATE EMPLOYEE -- NON-HAZARDOUS WORK CARPENTRY PRIVATE RESIDENCES TOWNSHIP, MUNICIPALITY; ALL EMP EXCL CLERICAL, POLICE & FIRE CLERICAL OFFICE EMPLOYEES N O C COUNTIES, ALL EMPLOYEES EXCLUDING POLICE AND FIREFIGHTERS PLUMBING NOC & DRIVERS GAS STATION-FULL SERVICE/AUTO REPAIR TRUCKING: LOCAL HAULING ONLY-ALL EMPLOYEES CONVAL NURSE HOMES-ALL EMPLOYEES ELECT WIRING WITHIN BLDGS & DRIVERS
  • 14. Chesapeake Employers / IWIF 2014 Rx Count by State and Private Business All Drugs All Groups By Group State By Group Private Age # Rxs Age # Rxs Age # Rxs 54 2126 54 889 54 1237 53 1919 60 888 55 1143 50 1844 53 886 50 1070 55 1751 48 869 51 1066 51 1637 50 774 53 1033 60 1591 49 652 56 955 48 1567 63 638 46 919 49 1527 59 637 49 875 44 1495 45 634 44 862 52 1471 44 633 52 854 Source: ExpressScripts
  • 15. Prescription Drug Problem in Maryland Workers’ Comp • There is a guaranteed payer, no co-pays, and freedom to choose practitioner • Opioids make up to 3 percent of costs in shorter term claims and between 15 and 20 percent of all medical costs in longer term claims • Travelers estimates medical costs currently make up 60 percent of workers’ comp claim costs and are projected to increase to 67 percent by 2019 • Narcotics account for 25% of drug costs (NCCI, September 26, 2013) • Utilization is a major driver in cost changes (NCCI, September 26, 2013) Insurance Business May 17, 2013- Opioid Epidemic Plagues Workers’ Comp
  • 16. Key Cost Areas for Workers’ Compensation • Epidemic of opioid use, overuse and abuse (prescribing, utilization) • Physician dispensing • Costs associated with compound medications • Converting brand opioids to generic alternatives
  • 17. Chesapeake Employers-Prescribers by Specialty Rank by Cost Specialty % of Rxs % of Cost # of Rxs with MED > 90 1 Physical Medicine & Rehabilitation 10.9% 14.4% 662 2 Internal Medicine 12.9% 13.9% 195 3 Physician Assistant 12.6% 11.5% 687 4 Nurse Practitioner 9.8% 10.2% 595 5 Family Medicine 8.4% 8.0% 220 6 Specialist 6.1% 5.9% 198 7 Psychiatry & Neurology 5.7% 5.8% 73 8 Pain Medicine 3.6% 5.8% 274 9 Anesthesiology 4.5% 4.9% 271 10 Orthopaedic Surgery 6.5% 3.2% 220 11 Registered Nurse 1.1% 2.2% 96 12 General Practice 1.5% 1.4% 291 13 Clinical Nurse Specialist 0.2% 0.8% 23 14 Neurological Surgery 1.4% 0.8% 55 15 Emergency Medicine 1.2% 0.6% 30 16 Surgery 0.7% 0.6% 24
  • 18. Chesapeake Employers Pharmacy/ Opioids - Interventions • Early opioid utilization 60-90 days following injury • Narcotic alert reporting • Evidence-based-guidelines • Alerts for MED > 120 • Narcotic scripts continuing 90 days following the injury • Houston cocktail report • Formulary control using days from injury, duration and number of refills • Red flags in duplicate therapy, early refills, multiple prescribers, poly-pharmacies • Peer reviews, Independent Medical Evaluations
  • 19. Chesapeake Employers’ Program Initiatives • Pharmacy Benefit Manager (PBM) partnership on Fraud, Waste and Abuse • Pain Management group • Pharmacy Nurse • Behavioral Health Assessments • Functional Restoration Programs • Multidisciplinary Back Program • State Regulatory Health Agency • Identifying groups prescribing and or dispensing inappropriately • Education of injured workers of the dangers of long term opioids • Soft tissue algorithm to prevent medical and drug over utilization
  • 21. Chesapeake Employers 2014 Percentage and Average of Narcotics Rxs % Narcotics to total rxs Average narcotic rxs/claim 13 12 11 10 2011 2012 2013 2014 69% 66% 65% 61% 56% 58% 60% 62% 64% 66% 68% 70% 2011 2012 2013 2014
  • 22. Chesapeake Employers’ Pharmacy Cost to Medical Cost • 2014= 7.8% • 2013= 11.8% • 2012= 11.6% • 2011= 11.4% According to NCCI, national workers’ comp pharmacy spend is 19% of total medical cost.
  • 23. Chesapeake Employers -Top Therapy Classes by % of plan cost & Rx count 0% 5% 10% 15% 20% 25% 30% 35% % of Plan Cost % Rx Count
  • 24. Chesapeake Employers - Top 10 Drugs By Percentage of Plan Cost and Script Count in 2014 0% 2% 4% 6% 8% 10% 12% % of Plan Cost % Rx Count Express Scripts
  • 25. Chesapeake Employers' Results- Brand to Generic Initiative Started in 2014 % generic Rx count % generic cost % brand Rx count % brand cost 2014 82% 49% 18% 51% 2013 76% 38% 24% 62%
  • 26. Chesapeake Employers Drug Therapy Class Percentage of Yearly Cost Variance YEAR 2011 to 2012 2012 to 2013 2013 to 2014 OPIOID AGONISTS 14.32% -0.12% 4.34% ANTICONVULSANTS-MISC 0.67% -15.42% 0.22% OPIOID COMBINATIONS 9.77% 2.14% -6.89% CENTRAL MUSCLE RELAXANTS 7.72% -8.26% 0.91% NSAIDS- ANTI-INFLAMMATORY -8.68% -21.54% 6.76%
  • 27. Chesapeake Employers Top Five Drugs Percentage of Yearly Cost Variance YEAR 2011 to 2012 2012 to 2013 2013 to 2014 Oxycontin 13.84% 1.97% 3.07% Lyrica 3.53% -19.36% -1.44% Oxycodone HCL 1.60% -8.52% -40.67% Oxycodone- Acetaminophen 13.47% -9.51% -43.21% Gabapentin 4.48% -15.60% -4.00%
  • 28. Chesapeake Employers’ Office Dispensing Strategy Office Dispensing- Maryland has no pharmacy fee schedule • Re-pricing of dispensed drugs to PBM pricing • Data analytics - prescribing data and by medical specialty • PBM educational mailings to injured workers regarding prescription drugs • Direct outreach to injured worker by adjuster or nurse case managers
  • 29. 2014 Office Dispensing for a Pain Management Practice • Large pain management practice with large number of physician extenders • # distinct claims - 187 # of overall office visits - 1,208 office visits • # of visits with a drug dispensed - 155 of the visits (238 scripts) • 13% of visits with drug dispensed • 1.5 scripts per visits
  • 30. Chesapeake Employers 2014 Office Drug Dispensing All Office Dispensing 0% 5% 10% 15% 20% 25% 30% % cost % scripts Select office group 0% 5% 10% 15% 20% 25% 30% 35% 40% % cost % scripts
  • 31. Select Office Group - Prescribers Designation % of Total Rx Count % of Total Plan Cost CRNP 77.52% 87.27% MD/DO 21.28% 11.80% PA 1.20% 0.94%
  • 32. Chesapeake Employers’ Compound Drugs Initiatives • Implementation of Chesapeake Employers’ evidence-based Medical Policy • Re-price each drug in compound mixture back to original NDC# • Peer reviews/ Independent Medical Evaluations • Evaluate continued therapy upon pain reduction or improvement in function
  • 33. Chesapeake Employers’ Compound Drug Results Year Rx Count Plan Cost 2014 148 $ 122,896.45 2013 233 $ 190,582.61 2012 194 $ 100,021.24 2011 311 $ 101,699.59
  • 34. Conclusion-Key Points • Build pain management expertise • Provide early intervention!!!! • Identify cost drivers • Implement strategies to mitigate drug use, costs and abuse • Reduce legacy claims • Utilize evidence-based-medicine • Identify red flags for at risk workers and prescribers • Partner with Pharmacy Benefit Manager • Explore Data Analytics • Increase number of appropriate settlements
  • 35. THANK YOU! Stephen Fisher, M.D., Ph.D. Sfisher@ceiwc.com 410-494-2173 8722 Loch Raven Blvd. Towson, MD 21286
  • 36. Using a PDMP to Understand the True Effects of a Medicaid Program Targeting Opioid Misuse Asheley Cockrell Skinner, PhD Associate Professor Injury Prevention Research Center University of North Carolina at Chapel Hill
  • 37. Disclosure Statement Asheley Cockrell Skinner, PhD, has disclosed no relevant, real, or apparent personal or professional relationships with proprietary entities that produce health care goods and services.
  • 38. Learning Objectives • Identify national trends in opioid use and expenditures. • Outline strategies to identify and manage high-risk claims within the workers’ compensation population. • Describe the North Carolina Medicaid Lock-In Program.
  • 39. History: North Carolina Medicaid Lock-In Program • Medicaid-based programs are used to minimize controlled substance misuse and abuse, and improve continuity of care – Mortality from overdose in Medicaid-eligible populations is 5-7 times that of the general population – Medicaid Lock-In Programs are one such effort • Recommended by the Center for Medicare and Medicaid Services
  • 40. History: North Carolina Medicaid Lock-In Program • Medicaid Lock-In Programs – Constrain patients to a single pharmacy and/or provider for their controlled substance medications • Improves the monitoring of controlled substance use across multiple points in the health care system – Virtually all states have them, though their design varies widely
  • 41. NC Medicaid Lock-In Program • 2009 GAO audit showed NC as 1 of 5 states with an unusually large number of controlled substance claims • North Carolina MLIP developed in response – Implemented in October 2010
  • 42. NC MLIP Eligibility Details • Eligibility - In 2 consecutive months: – Fill 6 or more opioid or benzodiazepine prescriptions; – Receive opioid or benzodiazepine prescriptions from 3 or more unique providers; and/or – Receive a direct provider referral • Locked in for 12 months – May utilize only 1 prescriber and 1 pharmacy, self- specified, for all opioid or benzodiazepine prescriptions
  • 43. The MLIP Loophole: Circumvention • If there is no Medicaid claim associated with a purchase (cash payment), prescriptions may be obtained without being monitored – Minimizes clinical and economic impact of Lock-In programs • Prescriptions may be misused, abused, or diverted • Wastes Medicaid resources devoted to MLIP administration
  • 44. Research Objectives 1. Determine the effect of enrollment in the NC MLIP on opioid prescriptions, including volume, prescribers, and costs. 2. Determine the effect of enrollment in the NC MLIP on circumvention of opioid prescriptions.
  • 45. Study Design • Pre-post MLIP enrollment comparison – October 2009 – June 2013 • One year prior to the initiation of the MLIP through the first two years of implementation • Controls – Multiple observations used to minimize the effects of regression to the mean – Enrollment in the MLIP occurs for a group of individuals each month, minimizing temporal effects
  • 46. Data Sources 1. North Carolina Medicaid Claims 2. North Carolina Controlled Substance Reporting System (CSRS) – State Prescription Drug Monitoring Program (PDMP) – Does not capture Medicaid ID or other shared identifiers Records between these two systems were matched by hand at the NC Division of Medical Assistance (DMA) – Used names, addresses, dates of birth – De-identified prior to acquisition by UNC
  • 47. Analytic Approach • Statistical models took advantage of longitudinal nature of data • Analysis based on restricted maximum likelihood (REML) estimation mixed effects regression model – Controlled for within-individual correlations and time effects
  • 48. Population 4352 individuals | 99,798 months of data Demographics (n=4352) AGE 35.23 SEX Female 69.18 Male 30.82 RACE White 77.91 Black 16.78 Other 5.31
  • 49. Medicaid Claims Results 4352 individuals | 99,798 months of data Opioid Claims Averages for MLIP Cohort (by whether or not enrolled that month) Overall Not Enrolled Enrolled p Opioids Any opioid claim 57.5 64.8 37.9 <0.001 Number of prescriptions 1.44 1.64 0.84 <0.001 Number of prescribers 0.51 0.56 0.35 <0.001 Total days supply received 22.67 23.72 19.48 <0.001 Total units received 86.1 91.97 68.32 <0.001 Total Medicaid payments 104.07 101.12 113.01 <0.001
  • 50. Medicaid Claims Results 4352 individuals | 99,798 months of data Multivariable Analysis of the Effect of MLIP Enrollment on Opioid Use Unadjusted Adjusted OR SE p OR SE p Any prescription 0.19 0.002 <0.001 0.12 0.002 <0.001 B SE p B SE p Number of prescriptions -1.16 0.012 <0.001 -1.16 0.012 <0.001 Number of prescribers -0.48 0.006 <0.001 -0.48 0.006 <0.001 Total days supply received -10.02 0.19 <0.001 -9.96 0.19 <0.001 Total units received -41.62 0.88 <0.001 -41.52 0.88 <0.001 Total Medicaid payments -23.75 2.56 <0.001 -23.85 2.58 <0.001
  • 51. Multivariable Analysis of the Effect of MLIP Enrollment on Opioid Circumvention Unadjusted Adjusted OR SE p OR SE p Any circumvention 5.07 0.09 <0.001 5.11 0.14 <0.001 B SE p B SE p Number of prescriptions 0.58 0.01 <0.001 0.58 0.01 <0.001 Prescribers 0.47 0.01 <0.001 0.48 0.01 <0.001 Units 23.33 0.80 <0.001 23.36 0.80 <0.001 Days supply 5.77 0.15 <0.001 5.76 0.15 <0.001 Circumvention Results 4352 individuals | 99,798 months of data
  • 52. Potential MLIP Benefits • Appropriate use of controlled substances - reduced number of prescriptions and volume per prescription – Improved quality of care – Cost savings
  • 53. Potential MLIP Limitations • Enrollees may be denied access to needed medications • Circumvention may have a significant impact on the effectiveness of the MLIP – Medicaid covers medical care related to circumvented prescriptions
  • 54. Lessons Learned • Integrating PDMP and Medicaid claims allows for a different picture of the effect of Medicaid-based programs – Future improvement to PDMPs should consider shared identifiers to permit linkages
  • 55. Conclusions • Limited evaluation of MLIPs – Appear to reduce opioid prescriptions – Many opioids are relatively inexpensive – enrollees may attempt to circumvent the system by paying cash • Limited information sharing between Medicaid and PDMPs – Need PDMPs to collect and share payment methods – Need the sharing of a random unique identifier for linking purposes
  • 56. Third-Party Payer Track: Financial Toll of Rx Addiction Presenters: • Chao Zhou, PhD, Economist, National Center for Injury Prevention and Control, CDC • Stephen N. Fisher, MD, PhD, Medical Advisor to the CEO, Chesapeake Employers’ Insurance Company • Asheley Cockrell Skinner, PhD, Associate Professor, Injury Prevention Research Center, UNC - Chapel Hill Moderator: Grant T. Baldwin, PhD, MPH, Director, Division of Unintentional Injury Prevention, National Center for Injury Prevention and Control, CDC, and Member, Rx Summit National Advisory Board

Editor's Notes

  1. State approx. 100,000 employees
  2. Personality testing endeavors
  3. Cost is about 1 million dollars, 3466 scrips total-44% are opiates, 8% benzo’s,
  4. I will address the final learning objective of this session by describing the North Carolina Medicaid Lock-In program and its effects on opioid use.
  5. The misuse and abuse of controlled substances has led many states to develop Medicaid-based programs that both reduce controlled abuse and improve continuity of care for those needing controlled medications. Medicaid Lock-In Programs are one strategy. Why? Mortality from overdose in Medicaid-eligible populations is 5-7 times that of the general population
  6. Medicaid Lock-In Programs constrain patients to a single pharmacy and/or provider for their controlled substance medications. Although virtually all states have them, their specific designs vary widely.
  7. In 2009, a GAO audit that showed that North Carolina was one of five states with an unusually large number of claims for prescription controlled substances (General Accounting Office, 2009). The NC MLIP was developed in response, and implemented in October of 2010.
  8. Once locked in, patients remain in the MLIP for 12 months. During this time period Medicaid will only reimburse prescriptions categorized as opiates or benzodiazepines that are written by their specified prescriber, and dispensed by their specified pharmacy. After 12 months, they are re- entered into the pool of potentially eligible individuals that ACS can identify for enrollment. Although the MLIP covers both benzodiazepines and opioids, these two drug classes are assessed separately. In other words, a patient must have 7 opioids or benzodiazepines, not a combination of the two. We will focus only on opioids today.
  9. Circumvention of NC MLIP restrictions occurs when program enrollees purchase an opioid or benzodiazepine prescription entirely out of pocket without submitting a prescription claim to the Medicaid benefit. Circumvention of the MLIP restrictions could have serious consequences for the intended clinical and economic impact of MLIPs by failing to prevent the procurement of controlled substance prescriptions that may be used for nonmedical purposes or diverted, and by wasting Medicaid resources used to administer the lock-in program for beneficiaries that ultimately disregard its restrictions.
  10. Pre-post design of individuals ever enrolled in the MLIP during its first two years. All data cover the time span from October 2009 (one year prior to the MLIP) through June 2013. Although we do not have a control group, we use multiple observations before and after enrollment to minimize the effects of regression to the means, and enrollment in the MLIP occurs for a group of individuals each month, minimizing any temporal effects.
  11. Our data come from two sources: North Carolina Medicaid Claims and the North Carolina Controlled Substance Reporting System. The CSRS does not capture Medicaid ID or other unique identifiers for individuals. Therefore, these records were matched by hand using a combination of names, addresses, and dates of birth. Data were structured to provide total prescriptions by month for each included individual. An individual could have up to 57 months of data (24 before the beginning of the MLIP and 33 following the MLIP). To ensure the pre-enrollment data included only months where an individual was “at risk” of an opioid prescription, we excluded all months prior to the individual’s first month with an opioid prescription paid for by Medicaid. To ensure we did not capture residual effects of enrollment in MLIP, we also excluded any months after an individual is no longer enrolled.
  12. We used statistical models that took advantage of the longitudinal nature of the data. Analyses are based on a restricted maximum likelihood (REML) estimation mixed effects regression model controlling for within-individuals correlations and time effects.
  13. Focus on costs? Our final sample of 6146 individuals represented 236,350 months of data (Table 1). The mean age at enrollment was 35 years. MLIP enrollees were predominantly female (69%) and white (78%).
  14. Over half (57.5%) of all months included at least one claim for an opioid (Table 2). This differed markedly before (64.8%) and after (37.9%) the MLIP. The mean number of prescriptions (including across months with zero prescriptions) was 1.64 prior to the MLIP and 0.84 after the MLIP. There were also reductions in the number of prescribers, total days supply received, and total units. In the bivariate analysis, the total amount paid by Medicaid was higher after the MLIP.
  15. Multivariate analysis generally confirmed these findings, with the exception of costs. The odds of having any opioid claim in a month were 0.12 after the MLIP (Table 3). The MLIP also yielded a reduction in the number of prescriptions by 1.16, the number of prescribers by 0.48, and total Medicaid payments by $23.85.
  16. Multivariate analysis shows that enrollment in the MLIP led to a 5.11 increase in the odds of any circumvention event (Table 3). MLIP enrollment also led to an average of 0.58 more prescriptions circumvented each month, 0.47 prescribers, 23.36 units, and 5.76 days supply.
  17. The North Carolina MLIP reduced the number of prescriptions for opioids, and the volume of opioids that enrollees obtained through Medicaid, as well as prescription drug costs to Medicaid.
  18. However, the large reduction in the odds of having any prescription for opioids raises questions about whether enrollees were denied access to needed medications. Circumvention of the Medicaid Program may have a significant impact on the effectiveness of the MLIP. Although MLIPs may reduce the volume of opioids that locked-in patients obtain through Medicaid, the circumvention of Medicaid payment is significant, and may reduce the program’s overall effectiveness. Reduces the ability of MLIP to restrict access to appropriate meds. Because Medicaid covers the medical visits that lead to a prescription, and Medicaid is responsible for any medical care needed for adverse events, this will need to be considered in understanding the overall financial impact of the program.
  19. Integrating PDMP and Medicaid claims allows a completely different picture of the effect of Medicaid-based programs. NC’s PDMP does not allow for direct linkage of the two. Future improvements to PDMP should consider identifiers that permit these linkages, as our results show only one of the many potential benefits of combining these data.
  20. States are using innovative practices through their Medicaid programs to improve care, including reducing misuse of opioids. Although there has been limited evaluation of MLIPs, they appear to reduce the number of opioid prescriptions obtained through Medicaid. However, many opioid prescriptions are relatively inexpensive, and enrollees may attempt to secure them by paying cash. Such circumvention is likely to undermine the success of MLIPs in reducing opioid misuse. We urge prescription drug monitoring programs nationwide to make information concerning the prescription histories of patients enrolled in MLIPs, including their method of payment, available to Medicaid to improve opioid misuse reduction efforts.