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Third-Party Payer Track:
Proactive Identification and
Intervention Approaches
Presenters:
• Rochelle Henderson, PhD, Senior Director of Research, Express
Scripts, Inc.
• Joseph Anderson, MBA, Director of Analytics, Helios
• Tron Emptage, RPh, Chief Clinical Officer, Helios
Moderator: J. Kevin Massey, MS, Program Administrator, Division of
Public Health, Delaware Department of Health and Social Services,
and Member, Rx Summit National Advisory Board
Disclosures
• Rochelle Henderson, PhD, has disclosed no relevant, real or
apparent personal or professional financial relationships with
proprietary entities that produce health care goods and
services.
• Joe Anderson, MBA – Employment: Helios
• Tron Emptage, RPh – Employment/Stockholder: Helios
• J. Kevin Massey, MS, has 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. Explain the role of predictive analytics and
statistical models to identify high-risk claims.
2. Describe strategies for intervening in high-risk
claims to help injured workers and control costs.
3. Identify characteristics associated with chronic
opioid use in a newly injured worker population.
4. Outline proactive strategies for curbing opioid
abuse and misuse by chronic users.
Rx Drug Summit
Proactive Identification and
Intervention Approaches
Rochelle Henderson, PhD
Senior Director of Research, Express Scripts
Disclosure Statement
• Rochelle Henderson, PhD 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. Explain the role of predictive analytics and
statistical models to identify high-risk claims.
2. Describe strategies for intervening in high-risk
claims to help injured workers and control costs.
3. Identify characteristics associated with chronic
opioid use in a newly injured worker population.
4. Outline proactive strategies for curbing opioid
abuse and misuse by chronic users.
Pain Treatment in America
Challenges in the practice of pain care1
Evolving evidence2
Approaches to better management for healthier outcomes3
Paying a High Price
259 million prescriptions for
painkillers written in 2012
50 Americans die every
day from prescription drug
poisoning
Using Data and Analytics to Dig Deeper
Prescribing Patterns Put Patients at
Risk
Dangerous
Combinations of Drugs
Dangerous
Combinations of
Doctors
Rigorous Inferential Approach
Opioid Prescribing
Physicians
Outlier
Detection
Method
Identification
Key Findings
• Over 60% of WC uppermost
prescribers prescribe opioids
to 2 or fewer patients
• On average, WC uppermost
prescribers write:
– more 30-day adjusted opioid
prescriptions per user
– longer days’ supply
– more than 7 times higher
average cost for opioid
prescription per user per day of
therapy 0.00%
20.00%
40.00%
60.00%
80.00%
100.00%
WC GH Mixed
% Uppermost Opioid
Prescribers
We Need to Strike a Balance
Proactive Identification and
Intervention Approaches
Presented by
Joe Anderson, MBA
Director of Analytical Services
Tron Emptage, M.A., R.Ph.
Chief Clinical Officer
Disclosure Statement
• Joe Anderson, MBA, Employment: Helios
• Tron Emptage, RPh, Employment/Stockholder: Helios
INDUSTRY TRENDS
Use of Narcotics and Other Medication Classes
First Year After Injury
22
59%
52%
30%
10%
57%
55%
29%
10%
53%
56%
30%
9%
0%
10%
20%
30%
40%
50%
60%
Narcotic Analgesics NSAIDS Skeletal Muscle Relaxants Dermatologics
2010 2011 2012
Medication Use Over Time
23
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10
Analgesics Narcotics Anti-inflammatory Skelatal MuscleRelaxers
Anti-Convulsant Dermatologic Antidepressant
Factors that Influence Outcomes
24
Number of
Prescribers
Number of
Pharmacies
Prescribing
Behaviors
Medication
Patterns
Body Part/
Nature of Injury
Demographics
of Prescriber
Medication
Agreement
Drug
Monitoring
SO WHAT ARE WE TO DO?
Predictive Analytics
Using a Multivariate Statistical Model to
Predict High Pharmacy Cost Claimants
26
Correlate early data
about an injured
worker…
… with resulting long-
term spend of that
injured worker.
Workers injured in 2010 Resulting pharmacy costs in 2013
(DEPENDENT VARIABLE)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1 4 6 9 12 18 24
Geographic and other Demographics Prescriber: Demographics of Treating Prescriber
Injury: Body Part, Nature of Injury Pharmacy Behavior
PercentofSignificance
(AggregatedAcrossMultipleVariables)
Months Since Date of Injury
Predictors Change as Claims Age
Clinical Analytics
Intervening on High-Cost Claims
Intervention Type Cost per Claim
Pharmaceutical Companies Use Network Analysis to Identify and
Target Influential Doctors with Advertising
Source: ”Drug Marketers Use Social Network Diagrams to Help Locate Influential Doctors” May 16, 2013
http://www.nytimes.com/interactive/2013/05/16/business/PHARMA.html?ref=business
This Is Also an Effective Technique to Understand Injured
Workers’ Risk for Long Term Prescription Drug Use
Long-Term Pharmacy Cost of Injured Worker,
Based on Initial Prescriber’s Connectedness
Long-TermPharmacyCostofInjuredWorker
Initial Prescriber’s Connections with Other Prescribers
Science + Science = Outcomes
Data Analytics + Clinical Expertise = Better outcomes
Individualized Analysis + Clinical Review = Better Outcomes
Physician
Letters
Pharmacist
Medication
Review
Physician
Medication
Review
Medication
Monitoring
Declining Claim Duration
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48
2010 2011
2012 2013
Months since Date of Injury
Percent of Injured
Workers Filling
Prescription
Medications
35
A total program solution
consisting of comprehensive data,
risk analysis, and clinical tools will
greatly decrease the likelihood of a
long-term claim.
Thank You
Third-Party Payer Track:
Proactive Identification and
Intervention Approaches
Presenters:
• Rochelle Henderson, PhD, Senior Director of Research, Express
Scripts, Inc.
• Joseph Anderson, MBA, Director of Analytics, Helios
• Tron Emptage, RPh, Chief Clinical Officer, Helios
Moderator: J. Kevin Massey, MS, Program Administrator, Division of
Public Health, Delaware Department of Health and Social Services,
and Member, Rx Summit National Advisory Board

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Rx15 tpp wed_430_1_henderson_2anderson-emptage

  • 1. Third-Party Payer Track: Proactive Identification and Intervention Approaches Presenters: • Rochelle Henderson, PhD, Senior Director of Research, Express Scripts, Inc. • Joseph Anderson, MBA, Director of Analytics, Helios • Tron Emptage, RPh, Chief Clinical Officer, Helios Moderator: J. Kevin Massey, MS, Program Administrator, Division of Public Health, Delaware Department of Health and Social Services, and Member, Rx Summit National Advisory Board
  • 2. Disclosures • Rochelle Henderson, PhD, has disclosed no relevant, real or apparent personal or professional financial relationships with proprietary entities that produce health care goods and services. • Joe Anderson, MBA – Employment: Helios • Tron Emptage, RPh – Employment/Stockholder: Helios • J. Kevin Massey, MS, has 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. Explain the role of predictive analytics and statistical models to identify high-risk claims. 2. Describe strategies for intervening in high-risk claims to help injured workers and control costs. 3. Identify characteristics associated with chronic opioid use in a newly injured worker population. 4. Outline proactive strategies for curbing opioid abuse and misuse by chronic users.
  • 5. Rx Drug Summit Proactive Identification and Intervention Approaches Rochelle Henderson, PhD Senior Director of Research, Express Scripts
  • 6. Disclosure Statement • Rochelle Henderson, PhD has disclosed no relevant, real or apparent personal or professional financial relationships with proprietary entities that produce health care goods and services.
  • 7. Learning Objectives 1. Explain the role of predictive analytics and statistical models to identify high-risk claims. 2. Describe strategies for intervening in high-risk claims to help injured workers and control costs. 3. Identify characteristics associated with chronic opioid use in a newly injured worker population. 4. Outline proactive strategies for curbing opioid abuse and misuse by chronic users.
  • 8. Pain Treatment in America Challenges in the practice of pain care1 Evolving evidence2 Approaches to better management for healthier outcomes3
  • 9. Paying a High Price 259 million prescriptions for painkillers written in 2012 50 Americans die every day from prescription drug poisoning
  • 10. Using Data and Analytics to Dig Deeper
  • 11. Prescribing Patterns Put Patients at Risk Dangerous Combinations of Drugs Dangerous Combinations of Doctors
  • 12.
  • 13.
  • 14.
  • 15.
  • 16. Rigorous Inferential Approach Opioid Prescribing Physicians Outlier Detection Method Identification
  • 17. Key Findings • Over 60% of WC uppermost prescribers prescribe opioids to 2 or fewer patients • On average, WC uppermost prescribers write: – more 30-day adjusted opioid prescriptions per user – longer days’ supply – more than 7 times higher average cost for opioid prescription per user per day of therapy 0.00% 20.00% 40.00% 60.00% 80.00% 100.00% WC GH Mixed % Uppermost Opioid Prescribers
  • 18. We Need to Strike a Balance
  • 19. Proactive Identification and Intervention Approaches Presented by Joe Anderson, MBA Director of Analytical Services Tron Emptage, M.A., R.Ph. Chief Clinical Officer
  • 20. Disclosure Statement • Joe Anderson, MBA, Employment: Helios • Tron Emptage, RPh, Employment/Stockholder: Helios
  • 22. Use of Narcotics and Other Medication Classes First Year After Injury 22 59% 52% 30% 10% 57% 55% 29% 10% 53% 56% 30% 9% 0% 10% 20% 30% 40% 50% 60% Narcotic Analgesics NSAIDS Skeletal Muscle Relaxants Dermatologics 2010 2011 2012
  • 23. Medication Use Over Time 23 0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% 80.00% Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10 Analgesics Narcotics Anti-inflammatory Skelatal MuscleRelaxers Anti-Convulsant Dermatologic Antidepressant
  • 24. Factors that Influence Outcomes 24 Number of Prescribers Number of Pharmacies Prescribing Behaviors Medication Patterns Body Part/ Nature of Injury Demographics of Prescriber Medication Agreement Drug Monitoring
  • 25. SO WHAT ARE WE TO DO?
  • 26. Predictive Analytics Using a Multivariate Statistical Model to Predict High Pharmacy Cost Claimants 26 Correlate early data about an injured worker… … with resulting long- term spend of that injured worker. Workers injured in 2010 Resulting pharmacy costs in 2013 (DEPENDENT VARIABLE)
  • 27. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1 4 6 9 12 18 24 Geographic and other Demographics Prescriber: Demographics of Treating Prescriber Injury: Body Part, Nature of Injury Pharmacy Behavior PercentofSignificance (AggregatedAcrossMultipleVariables) Months Since Date of Injury Predictors Change as Claims Age
  • 28. Clinical Analytics Intervening on High-Cost Claims Intervention Type Cost per Claim
  • 29. Pharmaceutical Companies Use Network Analysis to Identify and Target Influential Doctors with Advertising Source: ”Drug Marketers Use Social Network Diagrams to Help Locate Influential Doctors” May 16, 2013 http://www.nytimes.com/interactive/2013/05/16/business/PHARMA.html?ref=business
  • 30. This Is Also an Effective Technique to Understand Injured Workers’ Risk for Long Term Prescription Drug Use Long-Term Pharmacy Cost of Injured Worker, Based on Initial Prescriber’s Connectedness Long-TermPharmacyCostofInjuredWorker Initial Prescriber’s Connections with Other Prescribers
  • 31. Science + Science = Outcomes
  • 32. Data Analytics + Clinical Expertise = Better outcomes
  • 33. Individualized Analysis + Clinical Review = Better Outcomes Physician Letters Pharmacist Medication Review Physician Medication Review Medication Monitoring
  • 34. Declining Claim Duration 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 2010 2011 2012 2013 Months since Date of Injury Percent of Injured Workers Filling Prescription Medications
  • 35. 35 A total program solution consisting of comprehensive data, risk analysis, and clinical tools will greatly decrease the likelihood of a long-term claim.
  • 37. Third-Party Payer Track: Proactive Identification and Intervention Approaches Presenters: • Rochelle Henderson, PhD, Senior Director of Research, Express Scripts, Inc. • Joseph Anderson, MBA, Director of Analytics, Helios • Tron Emptage, RPh, Chief Clinical Officer, Helios Moderator: J. Kevin Massey, MS, Program Administrator, Division of Public Health, Delaware Department of Health and Social Services, and Member, Rx Summit National Advisory Board