This document summarizes a presentation on data-driven trends related to prescription drug abuse. It outlines national trends in doctor shopping, overdoses, drugged driving, and opioid/heroin overdose deaths. It also evaluates the effectiveness of some state laws and programs aimed at reducing doctor shopping and responding to overdoses. Some promising policy strategies discussed include reducing inappropriate prescribing, focusing on overdose response, improving prescription drug monitoring programs, and linking overdose victims to treatment.
1. Trending Topics Track:
Data-Driven Trends
Presenters:
⢠John Carnevale, Carnevale Associates, LLC
⢠Sherry L. Green, Sherry L. Green &
Associates, LLC
⢠Denise Paone, New York City Department of
Health and Mental Hygiene
⢠Ellenie Tuazon, New York City Department of
Health and Mental Hygiene
Moderator: Nancy Hale, Operation UNITE
2. Disclosures
⢠John T. Carnevale, PhD; Sherry L. Green, JD; Denise
Paone, EdD; Ellenie Tuazon, MPH; and Nancy Hale
have disclosed no relevant, real, or apparent
personal or professional financial relationships with
proprietary entities that produce health care 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:
â Kelly Clark â Employment: Publicis Touchpoint Solutions;
Consultant: Grunenthal US
â Robert DuPont â Employment: Bensinger, DuPont &
Associates-Prescription Drug Research Center
â Carla Saunders â Speakerâs bureau: Abbott Nutrition
4. Learning Objectives
1. Chart national trends in the Rx drug diversion
method known as doctor shopping.
2. Evaluate the effectiveness of state laws, policies
and programs targeted to reduce doctor
shopping.
3. Describe a data-driven, collaborative approach
that has reduced overdose deaths in NYC.
4. Outline the technical assistance manual that
jurisdictions may use to replicate the NYC RxStat
initiative.
5. Prescription Drug Abuse Data Trends
and Policy/Program Responses
Presentation to the National Rx Drug Abuse Summit
April 7, 2015
John T. Carnevale, Ph.D.
President, Carnevale Associates, LLC
John@carnevaleassociates.com
www.carnevaleassociates.com
6. John T. Carnevale, Ph.D., has disclosed no relevant, real or
apparent personal or professional financial relationships
with proprietary entities that produce health care goods
And services.
7. Todayâs National Drug Problem
⢠U.S. Federal drug control policy targets illicit drug use, illegal drug use
(underage use of alcohol and tobacco), non-medical use of prescription drugs,
and synthetic drugs.
â In 2013, an estimated 24.6 million Americans aged 12 or older were current (past
month) illicit drug usersâthis represents 9.4 percent of the population aged 12 or
older. Marijuana remains the most commonly used illicit drug, with 19.8 million
users.
⢠Non-medical use of prescription drugs is the second largest category of drugs
abused 6.5 million or 2.5 percent were nonmedical users of prescription drugs
(the number in 2013 is similar to the number of users in 2002 to 2012 (ranging
from 6.1 million to 7.1 million).
⢠Attention is now focused on the (re)emergence of heroin, which appears to be
increasing in use (particularly in the Northeast) because it is a relatively
cheaper and more plentiful alternative to pain medicationâwe are entering
what may be described as an opioid epidemic.
[7]
Source: SAMHSA, National Survey on Drug Use and Health, 2014.
8. Illicit Drug Use, 2013
24,573
19,810
1,549
289
1,333
6,484
0 5,000 10,000 15,000 20,000 25,000 30,000
Illicit Drugs
Marijuana
Cocaine
Heroin
Hallucinogens
Prescription Drugs
Number of Users in Thousands, 2013
[8]
Source: SAMHSA, National Survey on Drug Use and Health, 2014.
9. Prescription Drug Abuse Remains a Major Problem: It
Remains Second Behind Marijuana Use
[9]
0.3
0.5
1.3
1.5
6.5
19.8
24.6
0 5 10 15 20 25 30
Heroin
Inhalants
Hallucinogens
Cocaine
Psychotheraputics
Marijuana
Illicit Drugs
(Millions of Past Month Illicit Drug Use Among Persons Aged 12 or Older: 2013)
Source: SAMHSA, National Survey on Drug Use and Health, 2014.
10. Pain Relievers Used the Most: 4.5 Million of the
6.5 Million Prescription Drug Abusers Use Pain Meds
[10]
Source: SAMHSA, National Survey on Drug Use and Health, 2014.
11. Past Year Initiates of Specific Illicit Drugs: 2013
[11]
169
601
603
1,180
1,539
2,427
0 500 1,000 1,500 2,000 2,500 3,000
Heroin
Cocaine
Stimulants
Tranquilizers
Pain Relievers
Marijuana
(Numbers in Thousands)
Source: SAMHSA, National Survey on Drug Use and Health, 2014.
12. Pain Reliever Initiation is Declining
[12]
Source: SAMHSA, National Survey on Drug Use and Health, 2014.
0
500
1000
1500
2000
2500
3000
2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
NumbersinThousands
2,456
2,193
1,539
13. Overdoses and ER visits Remain a Significant
Consequence of Prescription Drug Abuse
[13]
⢠Drug overdose was the leading cause of injury-related death in 2013 â
more than motor vehicle crashes.1
ď§ Drug overdoses: 38,851
ď§ Motor vehicle crashes: 33,804
⢠The drug overdose death rate more than doubled from 1999 through
2013.2
⢠In 2011, more than 1.4 million emergency visits were related to
pharmaceuticals compared to 1.2 million visits for illicit drugs.3
Sources:
1. Centers for Disease Control and Prevention. Web-based Injury Statistics Query and Reporting System (WISQARS) [online].
(2014)
2. Centers for Disease Control and Prevention. National Vital Statistics System mortality data.
3. Substance Abuse and Mental Health Services Administration. Highlights of the 2011 Drug Abuse Warning Network (DAWN)
findings on drug-related emergency department visits. The DAWN Report. Rockville, MD: US Department of Health and Human
Services, Substance Abuse and Mental Health Services Administration; 2013 and CDC National Hospital Ambulatory Medical
Care Survey: 2011 Emergency Department Summary Tables
14. Drugged Driving is Increasing and
Prescription Drug Use is a Factor
[14]
⢠NHTSA recently completed (2014) the National Roadside
Survey (NRS) for the first time since 2007.1
⢠The NRS found:
ď§ About 20.0% of drivers tested positive for at least one drug in
2014, up from 16.3% in 2007.
ď§ Presence of Rx drugs for weekend drivers was 4.9% in 2014, up
from 3.9% in 2007.
ď§ Some 12.6% of drivers had evidence of marijuana use in their
systems, up from 8.6% in 2007.
Source: Results of the 2013â2014 National Roadside Survey of Alcohol and Drug Use by Drivers NHTSAâs Office of Behavioral Safety
Research Berning, Compton, and Wochinger.
1. Note: The NRS was conducted during 2013 and 2014 at a representative sample of 300 locations across the country. More than 9,000
drivers participated in the voluntary and anonymous survey. This was the fifth such survey on driver alcohol use conducted since 1973.
This is the second such survey (last was in 2007) that has collected information on the use of drugs that could affect driving, including both
illegal and legal drugs.
15. Opioid Poisoning Deaths Remain High, But Are Stabilizing;
Heroin Poisoning Deaths are Increasing (39% increase in 2013)
Source: CDC/NCHS, National Vital Statistics System, Mortality File.
Note: Deaths are classified using the International Classification of Diseases, Tenth Revision (ICDâ10). Approximately
25% of drug-poisoning deaths lack information on the specific drugs involved. Some of these deaths may have involved
heroin, opioid analgesics, or both.
NumbersInThousands
Number of drug-poisoning deaths involving opioid analgesics and heroin
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
50,000
1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
All Opioid Analgesics Heroin
16. Where do Rx Drug Abusers Get Their drugs?
The data say they get them from friends
16
Source: SAMHSA, NSDUH 2014
Note: Totals may not sum to 100% because of rounding or because suppressed estimates.
The Other category includes the sources: âWrote Fake Prescription,â âStole from Doctorâs
Office/Clinic/Hospital/Pharmacy,â and âSome Other Way.â
17. Media/Communication
â Social marketing campaigns
â Pharmacy and âpoint of saleâ advertising campaigns
â Media advocacy campaigns
â General public education and information dissemination
Enforcement
â Enforcement of prescriber and pain clinic laws
â Tip and Reward Programs
â Law Enforcement Training
â Drug testing
Institutional Practices
â Prescriber education
â Patient education and brief interventions
â Pain Management/Pain Clinic standards and best practices
â Electronic health records initiatives
â Protocols for pharmaceutical care at hospital discharge
â Online Rx management accounts
Policy Options for Rx Drug Abuse: A
Sampling of Numerous Strategies
Regulations/Laws
â Prescription Drug Monitoring Program (PMPs)
â Drug manufacturer requirements regarding prescriber
education
â Patient review and restriction programs
â Physical exam prior to prescribing laws
â Requiring proper identification before dispensation
â Model pain clinic regulations
â Restricted internet access to Rx Drugs
â Doctor shopping laws
â Rx limits of sale
â Prescriber requirements to regularly see patients using
controlled substances
â Advertising restrictions for scheduled drugs
â Naloxone access
â DEA guidelines for communicating controlled substances Rx
to pharmacies
â DEA prescriber licensing requirements
â Parental liability laws
Structural
â âTake-Backâ Locations (including disposals and drop boxes)
â Altering the physical environment
â Abuse-Deterrent Formulation and packaging of medications
18. Are the Policy Strategies Effective:
Evidence is Generally Spotty
⢠Rates of Dr. Shopping are declining since 2008, although the cause of this decline is
not statistically determined. 1
⢠Two studies have demonstrated the effectiveness of PMPs and best practices:
â Simeone and Holland (2006): found that PDMPs reduce the per capita supply of prescription pain
relievers and stimulants and in so doing reduce the probability of abuse for these drugs. It was the
first study to show that states which are proactive in their approach to regulation are more effective
in reducing the per capita supply of prescription pain relievers and stimulants than states which are
reactive in their approach to regulation.
â Brandeis Center of Excellence (2012): found that states with PMPs were less likely to experience
diversion; states with âproactiveâ PMPs had less availability of pain relievers compared to states that
were not proactive.
⢠A 2011 Carnevale Associates, LLC study analyzed prescription drug Take-Back
Programs and found:
â No evidence to date suggesting that take-back programs are effective in limiting access to
prescription drugs by those who are at the heart of the epidemic.
â Research is needed to determine whether take-back programs achieve environmental or substance
abuse outcomes.
â Limited data strongly indicate that ongoing bin-based (ongoing drop-off) programs appear to be the
most cost efficient; event-based programs and mailbacks are costly.
⢠Research is needed about the effectiveness of other public policy options.
1. Doctor Shopping Behavior and the Diversion of Opioid Analgesics: 2008-2012. Ron Simeone, Simeone Associates, Inc. and
IMS Government Solutions. August 14, 2014
19. The Current Policy Debate: Are Pain Medication
Abusers are Switching to Heroin?
⢠The past year heroin
incidence rate was 19
times higher among
those who reported
prior nonmedical pain
reliever use than among
those who did not.1
⢠Data on heroin initiation
rates do not (yet?)
reflect a large switching
effect.
0
500
1000
1500
2000
2500
3000
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Pain Relievers Heroin
NumbersInThousands
1. Based on pooled 2002-2011 NSDUH Data. Associations of Nonmedical Pain Reliever
Use and Initiation of Heroin Use in the United States Pradip K. Muhuri, Joseph C.
Gfroerer, M. Christine Davies
Initiation of Heroin Use and
Nonmedical Use of Pain Relievers
Source: SAMHSA, NSDUH 2014
20. 2023
John T. Carnevale, Ph.D.
President, Carnevale Associates, LLC
John@carnevaleassociates.com
www.carnevaleassociates.com
21. Data Driven Trends
A Closer Look at Selected Policies/Programs
Sherry L. Green
CEO and Manager
Sherry L. Green & Associates, LLC
National Rx Drug Abuse Summit
April 7, 2015
Atlanta, Georgia
22. Sherry L. Green, J.D., has disclosed no relevant, real or
apparent personal or professional financial relationships
with proprietary entities that produce health care goods
and services.
23. Learning Objectives
1. Chart national trends in the Rx drug diversion
method known as doctor shopping, overdoses,
drugged driving, opioid and heroin overdose
deaths.
2. Evaluate the effectiveness of and describe state
laws, policies and programs targeted to reduce
doctor shopping and respond to overdoses.
24. Data on State Policy and Systems-Level Interventions
on Prescription Drug Overdose*
ďś Limited and inconsistent
ďś Critical need to improve evidence base, BUT. . .
* Haegerich, T.M., et al., What we know, and donât know, about the impact of state policy
and systems-level interventions on prescription drug overdose. Drug Alcohol Depend.
(2014), http://dx.doi.org/10.1016/j.drugalcdep.2014.10.001
25. Promising Strategies
ďś Reduce inappropriate prescribing
ďś Reduce use of multiple prescribers
ďś Focus on overdose response
26. Prescribing Practices
ďś More informed prescribing
ďś More appropriate prescribing
ďś Changes in types and amounts of drugs prescribed
27. ďś Make state Prescription Drug Monitoring Program (PMP)
data more actionable
ďź Timely, efficient access within electronic health record
at time of treatment decisions
ďś Provide proactive alerts and analysis tools for PMP data
28. ďś Provide easily understood and applied risk assessment tools
ďź Screening, Brief Intervention and Referral to Treatment
(SBIRT)
ďś Develop clinical indicators for drug and alcohol abuse
ďź Request medication by name
ďź Multiple visits for some complaints
29. ďś Train on alternatives to controlled substances for pain
management
ďś Educate on diagnosing signs and symptoms of abuse
and addiction
ďś Create awareness of available services for addiction
treatment, pain management, mental health
32. ďś Allow first responders, families, friends and appropriate
others to possess and administer Naloxone
ďś Co-prescribe Naloxone when prescribe opioids
ďś Adopt âGood Samaritanâ protections for summoning
aid
ďź Eliminate fear of arrest and prosecution
33. Linkages to Treatment
ďś Stop continued abuse and addiction
ďś Stop social and economic consequences of abuse and
addiction
ďś Provide addict access to treatment with proper intensity
and length of stay
34. ďś ERs â prioritize assessment for overdose victims; involuntary
commitments
ďś Drug Courts
ďś Pre-trial diversion â prioritize diversion shortly after arrest
ďś Employee assistance programs (EAPs)
36. Treatment
ďś Provide full continuum of evidence-based treatment
services
ďś Diversify funding
ďź Appropriations
ďź Medicaid, insurance
37. CONTACT INFORMATION
Sherry L. Green
CEO and Manager
Sherry L. Green & Associates, LLC
P.O. Box 2530
Santa Fe, NM 87504
sgreen586@gmail.com
505-692-0457 (cell)
39. Disclosures
⢠Denise Paone has disclosed no relevant, real,
or apparent personal or professional financial
relationships with proprietary entities that
produce health care goods and services.
⢠Ellenie Tuazon has disclosed no relevant, real,
or apparent personal or professional financial
relationships with proprietary entities that
produce health care goods and services
40. Learning objectives
⢠Outline the technical assistance manual that
jurisdictions may use to replicate the NYC
RxStat initiative
⢠Describe a data-driven, collaborative approach
that has reduced overdose deaths in NYC
41. Outline
⢠Principles of RxStat
⢠Data sources
⢠Success of multi-pronged approach in Staten
Island
⢠Overdose prevention: naloxone
⢠Summary
44. RxStat
⢠Public health & public safety collaboration
â Housed at NYC Department of Health & Mental
Hygiene (DOHMH); leverages expertise and
infrastructure
⢠âReal-timeâ (enhanced) surveillance
⢠Participants and stakeholders at city, state,
and federal organizations
⢠Monthly RxStat data meetings
⢠Received funding from two BJA grants in 2013
and 2014 + ONDCP supplemental funds
45. RxStat: Core principles
⢠Public health approach
â Track drug use and associated health consequences at a
population level
⢠Timely, accurate analysis of drug misuse indicators
from multiple sources (e.g., mortality, EDs, PMP,
drug treatment, law enforcement, etc.)
⢠Data-driven initiatives
⢠Rapid deployment of public health and public
safety resources to high priority areas
⢠Rigorous follow-up to ensure strategies are
effective
46. Common goal, different approaches
Public health Public safety
Population level Individual case level
Analysis of risk factors Identification of risky individuals
Demand-side behavior modification Supply-side behavior modification
47. Diverse approaches to existing data:
Prescription drug monitoring
⢠Prevention of problem drug use
⢠Address population level factors
that increase risk of overdose
PMP as a public health tool PMP as a law enforcement tool
⢠Prevention of drug-related crime
⢠Address individuals who
facilitate or participate in illegal
drug distribution
Policy Responses
⢠Opioid analgesic judicious
prescribing guidelines
⢠Staten Island public health
detailing campaign
⢠Focus on aberrant prescribers
and street distributors
Policy Responses
48. Technical Assistance manual
⢠Reviews key elements of RxStat
â Basics
â Getting started
â Building content (data, resources)
â Managing process
â Moving forward
⢠Details each of the RxStat datasets, including
analytic code
⢠Available to download:
http://www.pdmpassist.org/pdf/RxStat.pdf
52. Pharmacy crimes data: Rx Crimes
⢠To track, investigate, and report on robberies
and burglaries of doctorsâ offices and
pharmacies targeting CPDs
⢠Since Rx Crimes launched in 2012
â 550,000 pills reported stolen in NY and NJ
⢠76% Painkillers
â Not a significant source of supply for illegal pill
market
54. Real-time mortality
⢠NYC receives mortality data monthly and
reports data quarterly
⢠Prior to 2013 data was received annually and
reported with a 1.5 year lag
⢠NYC published preliminary 2013 mortality
data in July 2014
â Time lag for the CDC is currently > 1 year
56. Rate of unintentional drug poisoning deaths by
drug type, NYC 2000â2013
(Drugs not mutually exclusive)
Source: New York City Office of the Chief Medical Examiner &
New York City Department of Health and Mental Hygiene 2000-2013
0
1
2
3
4
5
6
7
8
9
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Age-AdjustedRateper100,000
Year
Heroin
Cocaine
Methadone
Benzodiazepines
Opioid Analgesics
57. Rate of unintentional drug poisoning deaths by
borough of residence
0
5
10
15
20
25
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Age-AdjustedRateper100,000
Year
Staten Island
Bronx
Manhattan
Brooklyn
Queens
Source: New York City Office of the Chief Medical Examiner &
New York City Department of Health and Mental Hygiene 2000-2013
58. Unintentional drug poisoning deaths by
neighborhood (UHF 42) of residence, NYC
2012 & 2013
Source: NYC Office of the Chief Medical Examiner and NYC
DOHMH Bureau of Vital Statistics, 2012 and 2013
60. PMP for public health surveillance
⢠To understand population level prescription
use trends over time
â Historically, used as law enforcement tool
â NYC DOHMH developed key indicators to evaluate
data using the PMP
⢠To inform data-driven initiatives
61. Key public health PMP indicators
⢠Number of prescriptions, patients, prescriber,
pharmacies
⢠Rate of opioid analgesic prescriptions filled
overall and by drug type
⢠Median day supply
⢠Rate of patients filling opioid analgesic
prescriptions
⢠Rate of high dose opioid analgesic prescriptions
filled
62. 15% of prescribers wrote 83% of
opioid analgesic prescriptions
48%
2%
37%
15%
14%
49%
1%
34%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Prescribers Prescriptions
Prescribing frequency
Very Frequent
Prescribers
530-10,185 Rx/year
Frequent
Prescribers
50-529 Rx/year
Occasional
Prescribers
4-49 Rx/year
Rare Prescribers
1-3 Rx/year
Prescriptions filled by NYC residents, 2012
15%
83%
Percent
Source: New York State Department of Health, Bureau of Narcotic
Enforcement, Prescription Drug Monitoring Program, 2012 62
Note: Schedule II
opioid analgesics
63. Two-thirds of patients filled only one prescription;
one-third filled 78% of all opioid analgesic
prescriptions
63%
22%
14%
9%
5%
6%
8%
14%
10%
49%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Patients Prescriptions
Prescription Frequency
15 prescriptions
5 prescriptions
3 prescriptions
2 prescriptions
1 prescription
Prescriptions filled by NYC residents, 2012
Percent
Source: New York State Department of Health, Bureau of Narcotic
Enforcement, Prescription Drug Monitoring Program, 2012 63
37%
78%
Note: Schedule II opioid
analgesics
64. Patients visiting multiple prescriber and
multiple pharmacies are rare
⢠In 2012, 1.2% (9,137) of patients visited 4+
prescribers and 4+ pharmacies
â Filled 7.9% (170,282) of all prescriptions
â Visited 15,042 unique prescribers
â Visited 2,913 unique pharmacies
Source: New York State Department of Health, Bureau of Narcotic Enforcement, Prescription Drug Monitoring Program, 2012
65. Oxycodone filled more than hydrocodone
0
50
100
150
200
250
300
350
400
450
500
NYC Bronx Brooklyn Manhattan Queens Staten Island
Age-adjustedrateofprescriptionsfilled
per1,000residents
Borough of Residence
2013 Opioid Analgesics
2013 Oxycodone
2013 Hydrocodone
Source: New York State Department of Health, Bureau of Narcotic
Enforcement, Prescription Drug Monitoring Program, 2013
Note: Schedule II opioid analgesics
Rates are adjusted to 2000 US Standard population
66. Median day supply varies across New York City
0
5
10
15
20
25
30
NYC Bronx Brooklyn Manhattan Queens Staten
Island
MedianSupply,Days
Borough of Residence
Source: New York State Department of Health, Bureau of Narcotic
Enforcement, Prescription Drug Monitoring Program, 2013
Note: Schedule II opioid analgesics
Median day supply is calculated from day supply of each prescription filled in the year.
67. Staten Island residents fill more high dose opioid
analgesic prescriptions
0
20
40
60
80
100
120
140
NYC Bronx Brooklyn Manhattan Queens Staten Island
Rateofprescriptionsfilledper1,000
residents
Borough of Residence
Note: Schedule II opioid analgesics +
hydrocodone
High dose is any opioid analgesic prescription with a calculated morphine
equivalent dose (MED) greater than 100. Among patients receiving opioid
prescriptions, overdose rates increase with increasing doses of prescribed opioids.
Source: New York State Department of Health, Bureau of Narcotic
Enforcement, Prescription Drug Monitoring Program, 2013
Rates are adjusted to 2000 US Standard population
69. Objectives of qualitative research
⢠In-depth understanding
⢠Focus on behaviors and practices
⢠Adds context
⢠Utilizes interviews and observational
techniques
70. Specific aims
⢠Focus on three key areas:
- Circumstances of opioid analgesic (OA)
initiation
- Trajectory of use (including transitions to
heroin)
- Mechanisms of diversion from medical to non-
medical use
71. Enhancing surveillance using
qualitative methods
⢠Opioid study â three key aims:
- Circumstances of opioid analgesic (OA)
initiation
- Trajectory of use (including transitions to heroin)
- Mechanisms of diversion from medical to non-
medical use
⢠Three-phase study included focus groups (n=5)
and in-depth interviews (n=110)
⢠Currently analyzing data and writing up findings
72. Key findings from qualitative research
⢠Identified heterogeneous groups of opioid
initiates
â Recreational
â Medical
â Experienced opioid users
⢠Levels of prescribing oversight exist on a
continuum
aberrant â loose â routine â judicious
⢠Participants who transitioned to heroin were
entrenched OA users
â Many new heroin initiates were not in touch with
harm reduction services
73. Elements of multipronged data
approach
⢠Timely data collection
⢠Public health population level approach to
data analysis
⢠Qualitative data adds nuance to interpretation
of quantitative data
74. Summary
⢠Public health/public safety collaborations can
work well
⢠Continuing data access difficulties despite
collective buy-in
â PMP
â Treatment data
⢠Real-time data presents new challenges for
response
76. Neighborhoods with high rates of OA prescriptions
have high rates of unintentional (overdose) deaths
involving opioid analgesics
*Paone D, Bradley OâBrien D, Shah S, Heller D. Opioid analgesics in New York City: misuse, morbidity and mortality update. Epi Data
Brief. April 2011. Available at http://www.nyc.gov/html/doh/downloads/pdf/epi/epi-data-brief.pdf .
OA PRESCRIPTION RATES OA MORTALITY RATES
78. Opioid prescribing guidelines
⢠Less often: avoid prescribing opioids for
chronic non-cancer, non-end-of-life pain
ď e.g., low back pain, arthritis, headache,
fibromyalgia
⢠Shorter duration: when opioids are
warranted for acute pain, 3-day supply
usually sufficient
⢠Lower doses: if dosing reaches 100
Morphine Milligram Equivalents (MME) ,
reassess and reconsider other
approaches to pain management
⢠Avoid whenever possible prescribing
opioids in patients taking
benzodiazepines
Citation: Paone D, Dowell D, Heller D. Preventing misuse of prescription opioid drugs. City Health Information. 2011; 30(4): 23-30
New York City Opioid Treatment Guidelines, Clinical Advisors: Nancy Chang, MD; Marc N. Gourevitch, MD, MPH; Mark P. Jarrett,
MD, MBA; Andrew Kolodny, MD; Lewis Nelson, MD; Russell K. Portenoy, MD; Jack Resnick, MD; Stephen Ross, MD; Joanna L. Starrels,
MD, MS; David L. Stevens, MD; Anne Marie Stilwell, MD; Theodore Strange; MD, FACP; Homer Venters, MD, MS
79. New York City Emergency Department Discharge Opioid Prescribing Guidelines Clinical Advisory Group: Jason Chu,
MD, Brenna Farmer, MD, Beth Y. Ginsburg, MD, Stephanie H. Hernandez, MD, James F. Kenny, MD, MBA, FACEP,
Nima Majlesi, DO, Ruben Olmedo, MD, Dean Olsen, DO, James G. Ryan, MD, Bonnie Simmons, DO, Mark Su, MD,
Michael Touger, MD, Sage W. Wiener, MD.
Emergency Department guidelines
Released
January, 2013
Adopted by 38
NYC
emergency
departments
80. Staten Island public health
âDetailingâ campaign
⢠1-on-1 âdetailingâ visits from
Health Department representatives
⢠Deliver key prescribing
recommendations, clinical tools,
patient education materials
⢠~1,000 Staten Island physicians,
nurse practitioners, physicians
assistants
⢠JuneâAugust 2013
81.
82. Morphine Milligram Equivalent (MME)
calculator
⢠A tool to calculate total MME per day
⢠Gives alert for dosages >100 MME
⢠Quick and easy to use
⢠Web-based application
â Search for âNYC MME Calculatorâ
http://www.nyc.gov/html/doh/html/mental/MME.html
⢠Smartphone app
83. Media campaigns
⢠Campaign One:
â Goal: Increase awareness of risk of opioid analgesic overdose
â Ran twice (2012, 2013)
⢠Campaign Two:
â Goal: Reduce stigma and raise awareness of opioid analgesic
misuse
â 2 testimonials
⢠Mom lost son to opioid analgesic overdose
⢠NYC resident in recovery
â Ran 2013 and 2014
84. Staten Island opioid-analgesic poisoning mortality
decreased 29% from 2011 to 2013
0.0
2.0
4.0
6.0
8.0
10.0
12.0
2007
December
2008
December
2009
December
2010
December
2011
December
2012
December
2013
December
Age-AdjustedRateper100,000
Staten Island All other boroughs
1
2 3 4
5
6
7
8
91. May 2011: EDB: Staten Island mortality and PMP analyses highlighted
2. November 2011: CHI: opioid prescribing guidelines
3. August 2012: I-STOP passed
4. Late 2012 and 2013: media campaign 1
5. January 2013: ED opioid prescribing guidelines
6. June 2013: NYC COH Staten Island town hall
7. June-August 2013: Staten Island detailing campaign
8. August 2013: I-STOP in effect
9. Late 2013 and 2014: media campaign 2
Source: New York City Office of the Chief Medical Examiner &
New York City Department of Health and Mental Hygiene 2000-2013
85. Rates of high dose prescriptions filled decreased
in Staten Island by 9%
0
20
40
60
80
100
120
140
160
NYC Bronx Brooklyn Manhattan Queens Staten Island
Rateofprescriptionsfilledper1,000
residents
Borough of Residence
2012 2013
Note: Schedule II opioid analgesics +
hydrocodone
High dose is any opioid analgesic prescription with a
calculated morphine equivalent dose (MED) greater than 100.
Among patients receiving opioid prescriptions, overdose rates
increase with increasing doses of prescribed opioids.
Source: New York State Department of Health, Bureau of Narcotic
Enforcement, Prescription Drug Monitoring Program, 2012 and 2013
Rates are adjusted to 2000 US Standard population
87. Overdose education and naloxone
distribution
⢠2006: New York State law enables lay people to train
to respond to an overdose and administer naloxone
⢠2011: New York State Good Samaritan Law
⢠2014: Standing order legislation:
â Allow for individuals other than MDs, PAs, and
NPs to dispense a medication requiring a
prescription
⢠61 registered overdose prevention programs in NYC
88. Intranasal naloxone kits were dispensed by different types
of Opioid Overdose Prevention Programs
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
2009
(Jul-Dec)
2010 2011 2012 2013 2014
(Jan-Jun)
NumberofINkitsdispensed
Other
Drug Treatment
SEP
n=17,295
Year of naloxone dispensing
89. Naloxone distribution in NYC
⢠NYC Department of Homeless Services (DHS)
â More than half DHS Peace Officers are trained and
carry naloxone in all city shelters
⢠NYC Department of Corrections
â Rikers Island Visit House
⢠NYPD
â NYPD officers trained to carry and dispense naloxone
â Started as pilot in response to high opioid overdose
rates in Staten Island
90. Summary
⢠Opioid overdose deaths are preventable
⢠RxStat is a collaboration between NYC public health
and public safety toward one unifying goal: Reduce
overdose deaths in NYC
⢠Population level approach addresses overall risk
factors
â Doctor shopping is a rare event
â Important to use PMP metrics that can be applied across a
jurisdiction
⢠Multi-pronged data driven approaches have
demonstrated success
â Measurable and replicable
91. Trending Topics Track:
Data-Driven Trends
Presenters:
⢠John Carnevale, Carnevale Associates, LLC
⢠Sherry L. Green, Sherry L. Green &
Associates, LLC
⢠Denise Paone, New York City Department of
Health and Mental Hygiene
⢠Ellenie Tuazon, New York City Department of
Health and Mental Hygiene
Moderator: Nancy Hale, Operation UNITE
Hinweis der Redaktion
My Economics background means I look at at demand and supply. My analysis of the problem suggests that demand reduction probably is beast dealt with by focusing on docs (education) and their prescribing practices (monitored perhaps through PMPs). Other education of youth, young adults can help raise awareness of the dangers of underage drinking and prescription drug abuse. []Perhaps we should also educated pharmacists, too, as targets of education. And remember, itâs not just docs, but others that can prescribeâin some states nurses can prescribe some drugs, dentists, and vets.
And according to NSDUH:
Â
Roughly 2/3rds of Rx drug abusers, abuse pain relievers. 69.2% of nonmedical psychotherapeutic drug use is abuse of pain relievers (Past Month Nonmedical Use of of Psychotherapeutic Drugs among Persons Aged 12 or Older: 2013).
The percentage of persons aged 12 or older who were current nonmedical users of psychotherapeutic drugs in 2013 (2.5 percent) was lower than the percentages in 2006, 2007, and 2009 (ranging from 2.8 to 2.9 percent), but it was similar to the percentages in all of the other years from 2002 to 2012 (ranging from 2.4 to 2.7 percent) (Figure 2.2). The number of persons aged 12 or older who were current nonmedical users of psychotherapeutic drugs in 2013 (6.5 million) was similar to the number of users in 2002 to 2012 (ranging from 6.1 million to 7.1 million).
The number and percentage of persons aged 12 or older who were current nonmedical users of pain relievers in 2013 (4.5 million or 1.7 percent) were similar to those in 2011 and 2012 (4.5 million and 4.9 million, respectively, or 1.7 and 1.9 percent) (Figure 2.3).
So, 4.5 Million over 6.5 Million is 69.2% [Check, but I think Darvon has been taken off the market]
From DAWN
http://archive.samhsa.gov/data/2k13/DAWN127/sr127-DAWN-highlights.pdf
Total ED Visits 5,067,374
Drug Misuse or Abuse 2,462,948
Pharmaceuticals 1,428,145
Illicit Drugs 1,252,500
Adverse Reaction 2,301,059
Accidental Ingestion 113,624
Because multiple drugs may be involved in each visit, estimates of visits by drug may add to more than the total, and percentages may add to more than 100 percent.
FACT SHEET: National Roadside Survey of Alcohol and Drug Use by Drivers
About the survey
⢠Conducted for the first time in 1973; repeated in 1986, 1996, 2007, and 2013-14 ⢠Collects data from 300 roadside sites across the country
⢠Road signs alert drivers to a voluntary paid survey ahead
⢠Strictly voluntary and anonymous
⢠Drivers who are too impaired to safely drive from the research sites are offered other means to get home; of more than 30,000 participants over 40 years, none have driven away from the sites after being identified as impaired and none have been arrested
⢠Testing for presence of illegal drugs, prescription medicines, and over-the-counter drugs conducted for the first time in 2007 \
Drinking and driving is falling
⢠The proportion of drivers with measurable alcohol levels declined by about 30 percent from 2007 to 2014. This decline was seen across all alcohol levels. Since the first such survey in 1973, the prevalence of alcohol among drivers has declined by nearly 80 percent.
⢠In 2014, about 1.5 percent of weekend nighttime drivers had .08 or higher breath alcohol concentrations (BrACs).
⢠About 8.3 percent of drivers had some measurable alcohol in their systems.
Drugged driving is rising
⢠About 20.0 percent of drivers tested positive for at least one drug in 2014, up from 16.3 percent in 2007.
⢠Some 12.6 percent of drivers had evidence of marijuana use in their systems, up from 8.6 percent in 2007.
⢠More than 15 percent of drivers tested positive for at least one illegal drug, up from 12 percent in 2007.
Key 2013 Data talking points:
The data show that drug deaths related to prescription opioids have remained stable since 2012, but the mortality rate associated with heroin increased for the third year in a row.
AÂ 6% increase in all drug poisoning deaths from 2012.
A 1% increase in deaths involving opioid analgesics over 2012. Â
A 39% increase in deaths involving heroin from 2012.
2013 Drug Overdose Mortality Data Announced
Prescription Opioid Deaths Level; Heroin-related Deaths Rise
Washington, D.C. Â â Today, the White House Office of National Drug Control Policy (ONDCP) is announcing the 2013 drug overdose mortality data from the Centers for Disease Control and Prevention (CDC). The data show that drug deaths related to prescription opioids have remained stable since 2012, but the mortality rate associated with heroin increased for the third year in a row.
The data show a 6% increase in all drug poisoning deaths from 2012, and a 1% increase in deaths involving opioid analgesics over 2012. Deaths involving heroin had the largest upsurge overall, with a 39% increase from 2012, while deaths involving cocaine increased 12%. These results demonstrate that while the Administrationâs efforts to curb the epidemic of the nonmedical use of prescription drugs is working, much more work is needed to improve the way we prevent and treat substance use disorders.
Opioid-analgesic death rates increased at a fast pace from 1999 through 2006 (18% per year average), and then at a slower pace from 2006 to 2011, and declined slightly in 2012 (5% Decline).
In 2012, there were 41,502 deaths due to drug poisoning (often referred to as drug-overdose deaths) in the United States, of which 16,007 involved opioid analgesics and 5,925 involved heroin.
From 1999 through 2012, the age-adjusted drug-poisoning death rate nationwide more than doubled, from 6.1 per 100,000 population in 1999 to 13.1 in 2012. During the same period, the age-adjusted rates for drug-poisoning deaths involving opioid analgesics more than tripled, from 1.4 per 100,000 in 1999 to 5.1 in 2012. Opioid-analgesic death rates increased at a fast pace from 1999 through 2006, with an average increase of about 18% each year, and then at a slower pace from 2006 forward. The decline in opioid-analgesic death rates from 2011 through 2012, a decline of 5%, is the first decrease seen in more than a decade.
Number and age-adjusted rate of drug-poisoning deaths involving opioid analgesics and heroin: United States, 1999-2012  CDC/NCHS, National Vital Statistics System, Mortality File. NOTES: Deaths are classified using the International Classification of Diseases, Tenth Revision (ICDâ10). Drug-poisoning deaths are identified using ICDâ10 underlying cause-of-death codes X40âX44, X60âX64, X85, and Y10âY14. Opioid-analgesic drug-poisoning deaths are drug-poisoning deaths with a multiple cause-of-death code of T40.2, T40.3, or T40.4. Heroin drug-poisoning deaths are drug-poisoning deaths with a multiple cause-of-death code of T40.1. Approximately 25% of drug-poisoning deaths lack information on the specific drugs involved. Some of these deaths may have involved heroin, opioid analgesics, or both.
All Opioid analgesics Heroin
Year Number Rate Number Rate Number Rate
1999 16,849 6.1 4,030 1.4 1,960 0.7
2000 17,415 6.2 4,400 1.5 1,842 0.7
2001 19,394 6.8 5,528 1.9 1,779 0.6
2002 23,518 8.2 7,456 2.6 2,089 0.7
2003 25,785 8.9 8,517 2.9 2,080 0.7
2004 27,424 9.4 9,857 3.4 1,878 0.6
2005 29,813 10.1 10,928 3.7 2,009 0.7
2006 34,425 11.5 13,723 4.6 2,088 0.7
2007 36,010 11.9 14,408 4.8 2,399 0.8
2008 36,450 11.9 14,800 4.8 3,041 1
2009 37,004 11.9 15,597 5 3,278 1.1
2010 38,329 12.3 16,651 5.4 3,036 1
2011 41,340 13.2 16,917 5.4 4,397 1.4
2012 41,502 13.1 16,007 5.1 5,925 1.9
Free from Friend/Relative Historical
2012-2013 53.0%
2011-2012Â Â Â Â Â 54.0%
2010-2011 54.2%
2009-2010 55.0%
2008-2009 55.3%
2007-2008 55.9%
Policy officials tend to target âdoctor shoppersâ as the drivers of the current prescription drug epidemic. Evidence suggests they are low hanging fruit, but are a small share of the population of prescription drug abusers:
Law enforcement efforts to shut down pill mills and doctor shopping rings can have substantial public health benefits by reducing the supply of prescription drugs for street trafficking (Brandeis, The Center for Excellence, 2012 Study). [Note: the effect was not quantified.]
One study found that questionable prescriptions averaged about 1.6 percent for pain relievers (Simeone and Holland, 2006).
Another study found that 0.30 percent of 25,161,024 subjects exposed to opioids exhibited doctor shopping behavior (Cepeda et. al, 2012)
Simeone R and Holland L, An Evaluation of Prescription Drug Monitoring Programs, National Criminal Justice Reference Service(NCJ217269), United States Department of Justice, Washington DC, 2006.
Opioid Shopping Behavior: How Often, How Soon, Which Drugs, and What Payment Method, prepared by M. Soledad Cepeda, MD, Ph.D., Daniel Fife, MD, Wing Chow, PharmD, MPH, Gregory Mastrogiovanni, BS, and Scott C. Henderson, BS, MS, The Journal of Clinical Pharmacology, XX(X) I-6.
Prescription Drug Monitoring Programs: An Assessment of the Evidence for Best Practices, Prepared by Thomas Clark, John Eadie, Peter Kreiner, Ph.D., and Gail Strickler, Ph.D., The Prescription Drug Monitoring Program Center of Excellence, Heller School for Social Policy and Management, Brandeis University, September 20, 2012.
Carnevale Associates, LLC, Prescription monitoring and prevention: recommendations for increased collaboration. Working paper produced for the Substance Abuse and Mental Health Services Administration. 2010.
Mention ONDCPâs Rx prevention plan, the four pillars of which are education, disposal, PMPâs and law enforcement. Many of the options noted in the slide are covered in the Plan.
Pain Relievers Heroin
2004 2422 118
2005 2193 108
2006 2155 91
2007 2159 106
2008 2189 114
2009 2193 180
2010 2013 140
2011 1888 178
2012 1880 156
2013 1539 169
Need to study past year use of Rx Drugs for Heroin Initiates
August 2013 Associations of Nonmedical Pain Reliever Use and Initiation of Heroin Use in the United States
Authors
Pradip K. Muhuri, Joseph C. Gfroerer, M. Christine Davies
http://archive.samhsa.gov/data/2k13/Data Review/DR006/nonmedical-pain-reliever-use-2013.htm
Abstract
Recent increases in the annual number of persons in the United States who used heroin for the first time have raised concerns that prior nonmedical use of prescription pain relievers may have led to heroin use in many people. This study examines the recent trends in heroin initiation, including the role of nonmedical prescription pain reliever use in the heroin trend among persons aged 12 to 49. Pooling data from the National Survey on Drug Use and Health (NSDUH) conducted annually from 2002 through 2011, the study finds that the recent (12 months preceding interview) heroin incidence rate was 19 times higher among those who reported prior nonmedical pain reliever (NMPR) use than among those who did not (0.39 vs. 0.02Â percent). In contrast, the recent NMPR incidence rate was almost 2 times higher among those who reported prior heroin use than who did not (2.8 vs. 1.6Â percent). Four out of five recent heroin initiates (79.5Â percent) previously used NMPR whereas only 1.0Â percent of recent NMPR initiates had prior use of heroin. However, the vast majority of NMPR users have not progressed to heroin use. Only 3.6Â percent of NMPR initiates had initiated heroin use within the 5-year period following first NMPR use. The study contributes important new data to improve understanding of the role of prior NMPR use in initiation of heroin use in the U.S. general population.
Carnevale Associates, LLC offers guidance and practical solutions to governments, organizations, and communities as they confront the public policy and program challenges of the 21st century. We specialize in strategic planning, performance measurement, strategic communications, policy research. Regardless of the project, our mission is the same: bring practical and research-based policy solutions to clients facing real-time challenges.
Rx Crimes is a database initiative
PURPOSE of the database is to track, investigate, and report on controlled prescription drug robberies and burglaries to assist federal, state, and local law enforcement in identifying patterns and emerging trends as well as bridge jurisdictional boundaries.
Â
LAUNCHED in 2012 by the NY/NJ HIDTA in partnership with the DEA and police departments in the region
tracks robberies, burglaries, attempted robberies, and attempted burglaries of pharmacies and other locations where prescription drugs are distributed.
collects information on certain aspects of the crime, types of pills taken, and suspects. Users may attach media or documents, including police reports and complaints. Allows for comprehensive searching and mapping of relevant crimes.
3 pharmacy robberies with fatalities:
Fatherâs Day 2011 â Laffer & wife rob Medford, LI pharmacy, murdering 4 people
NYE Dec. 2011 - Seaford, LI pharmacy robbery â ATF agent killed
April 2012 - East Harlem shootout after pharmacy robbery, suspect killed
Read-only access to information in the database is available to participating law enforcement agencies
Rx Crimes and DEA 106 Loss Form data are analyzed in a semiannual report and distributed to partner agencies. The two data sets complement one another and combine to track CPDs diverted through armed robbery, night break-ins, employee pilferage, pills lost in transit, and other methods of loss as reported to Rx Crimes and the DEA
(NYC OVS 2012 data published in Feb.2014)
55
â˘Can be used to understand the epidemiology of prescription drug use (who, what, and where)
-No info on how or why (no info on diagnosis)
-Data is de-identified, no names
-Data has strengths:
ď§Representative because it is population based
ď§Timeliness due to required reporting
ď§Data quality is monitored by insurance and system error checks
ď§Little additional cost to analyze data
We focus on population level Metrics such as multiple prescribers and multiple pharmacies are a small proportion of patients (1%) per year.
In addition, high volume prescribers (those who prescribed the top percentage 530 to +10,000 prescriptions) make up 1% or 500
-more prescription data from PDMP PH and PS go after this a little differently
-X axis shows prescriber on left and rx on right. Y axis percent.
-point: 15% of prescribers write 83% of opioid analgesic rx.
-we can then use data to better understand high volume prescribers.
-more prescription data from PDMP PH and PS go after this a little differently
-X axis shows prescriber on left and rx on right. Y axis percent.
-point: 15% of prescribers write 83% of opioid analgesic rx.
-we can then use data to better understand high volume prescribers.
Increases in oxycodone in the Bronx, Manhattan, and Queens. Slight decreases in Brooklyn and Staten Island.
High morphine equivalent dose prescriptions has decreased overall in NYC, with a 22% decrease in Staten Island from 133 prescriptions filled per 1000 to 103 prescriptions per 1000 residents.
High morphine equivalent dose prescriptions has decreased overall in NYC, with a 22% decrease in Staten Island from 133 prescriptions filled per 1000 to 103 prescriptions per 1000 residents.