SlideShare ist ein Scribd-Unternehmen logo
1 von 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
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.
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. 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.
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
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.
Today’s 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.
– In 2013, an estimated 24.6 million Americans aged 12 or older were current (past
month) illicit drug users—this 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 medication—we are entering
what may be described as an opioid epidemic.
[7]
Source: SAMHSA, National Survey on Drug Use and Health, 2014.
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.
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.
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.
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.
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
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 –
more than motor vehicle crashes.1
 Drug overdoses: 38,851
 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
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:
 About 20.0% of drivers tested positive for at least one drug in
2014, up from 16.3% in 2007.
 Presence of Rx drugs for weekend drivers was 4.9% in 2014, up
from 3.9% in 2007.
 Some 12.6% of drivers had evidence of marijuana use in their
systems, up from 8.6% in 2007.
Source: Results of the 2013–2014 National Roadside Survey of Alcohol and Drug Use by Drivers NHTSA’s 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.
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 (ICD–10). 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
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: “Wrote Fake Prescription,” “Stole from Doctor’s
Office/Clinic/Hospital/Pharmacy,” and “Some Other Way.”
Media/Communication
– Social marketing campaigns
– Pharmacy and “point of sale” advertising campaigns
– Media advocacy campaigns
– General public education and information dissemination
Enforcement
– Enforcement of prescriber and pain clinic laws
– Tip and Reward Programs
– Law Enforcement Training
– Drug testing
Institutional Practices
– Prescriber education
– Patient education and brief interventions
– Pain Management/Pain Clinic standards and best practices
– Electronic health records initiatives
– Protocols for pharmaceutical care at hospital discharge
– Online Rx management accounts
Policy Options for Rx Drug Abuse: A
Sampling of Numerous Strategies
Regulations/Laws
– Prescription Drug Monitoring Program (PMPs)
– Drug manufacturer requirements regarding prescriber
education
– Patient review and restriction programs
– Physical exam prior to prescribing laws
– Requiring proper identification before dispensation
– Model pain clinic regulations
– Restricted internet access to Rx Drugs
– Doctor shopping laws
– Rx limits of sale
– Prescriber requirements to regularly see patients using
controlled substances
– Advertising restrictions for scheduled drugs
– Naloxone access
– DEA guidelines for communicating controlled substances Rx
to pharmacies
– DEA prescriber licensing requirements
– Parental liability laws
Structural
– “Take-Back” Locations (including disposals and drop boxes)
– Altering the physical environment
– Abuse-Deterrent Formulation and packaging of medications
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:
– 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.
– Brandeis Center of Excellence (2012): found that states with PMPs were less likely to experience
diversion; states with “proactive” 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:
– 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.
– Research is needed to determine whether take-back programs achieve environmental or substance
abuse outcomes.
– 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
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
2023
John T. Carnevale, Ph.D.
President, Carnevale Associates, LLC
John@carnevaleassociates.com
www.carnevaleassociates.com
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
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.
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.
Data on State Policy and Systems-Level Interventions
on Prescription Drug Overdose*
 Limited and inconsistent
 Critical need to improve evidence base, BUT. . .
* Haegerich, T.M., et al., What we know, and don’t 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
Promising Strategies
 Reduce inappropriate prescribing
 Reduce use of multiple prescribers
 Focus on overdose response
Prescribing Practices
 More informed prescribing
 More appropriate prescribing
 Changes in types and amounts of drugs prescribed
 Make state Prescription Drug Monitoring Program (PMP)
data more actionable
 Timely, efficient access within electronic health record
at time of treatment decisions
 Provide proactive alerts and analysis tools for PMP data
 Provide easily understood and applied risk assessment tools
 Screening, Brief Intervention and Referral to Treatment
(SBIRT)
 Develop clinical indicators for drug and alcohol abuse
 Request medication by name
 Multiple visits for some complaints
 Train on alternatives to controlled substances for pain
management
 Educate on diagnosing signs and symptoms of abuse
and addiction
 Create awareness of available services for addiction
treatment, pain management, mental health
 Implement clinical guidelines
 Adopt pain clinic legislation
Overdose Death Prevention
 Save people from dying
 Opportunity to treat their addiction
 Allow first responders, families, friends and appropriate
others to possess and administer Naloxone
 Co-prescribe Naloxone when prescribe opioids
 Adopt “Good Samaritan” protections for summoning
aid
 Eliminate fear of arrest and prosecution
Linkages to Treatment
 Stop continued abuse and addiction
 Stop social and economic consequences of abuse and
addiction
 Provide addict access to treatment with proper intensity
and length of stay
 ERs – prioritize assessment for overdose victims; involuntary
commitments
 Drug Courts
 Pre-trial diversion – prioritize diversion shortly after arrest
 Employee assistance programs (EAPs)
 Student assistance programs (SAPs)
 At-risk youth programs
Treatment
 Provide full continuum of evidence-based treatment
services
 Diversify funding
 Appropriations
 Medicaid, insurance
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)
RxSummit: Data-Driven Trends
Denise Paone, EdD
Ellenie Tuazon, MPH
New York City Department of Health and Mental
Hygiene
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
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
Outline
• Principles of RxStat
• Data sources
• Success of multi-pronged approach in Staten
Island
• Overdose prevention: naloxone
• Summary
PRINCIPLES OF RXSTAT
RxStat: Central focus and unifying
goal
Reduce
Overdose
Deaths
RxStat
• Public health & public safety collaboration
– Housed at NYC Department of Health & Mental
Hygiene (DOHMH); leverages expertise and
infrastructure
• “Real-time” (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
RxStat: Core principles
• Public health approach
– 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
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
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
Technical Assistance manual
• Reviews key elements of RxStat
– Basics
– Getting started
– Building content (data, resources)
– Managing process
– Moving forward
• Details each of the RxStat datasets, including
analytic code
• Available to download:
http://www.pdmpassist.org/pdf/RxStat.pdf
DATA SOURCES
Data Sources
Reduce
Overdose
Deaths
PMP
Data
Treatment
Admissions
Poison
Control
Drug
Prosecutions
Hospitalizations
Jail
Data
Mortality
DEA
ARCOS
Pharmacy
Crime
Price/Purity
Qualitative
Research
Medicaid
Fraud Data
Syndromic
Mortality
PMP
Data
PHARMACY CRIMES
Pharmacy crimes data: Rx Crimes
• To track, investigate, and report on robberies
and burglaries of doctors’ offices and
pharmacies targeting CPDs
• Since Rx Crimes launched in 2012
– 550,000 pills reported stolen in NY and NJ
• 76% Painkillers
– Not a significant source of supply for illegal pill
market
MORTALITY
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
– Time lag for the CDC is currently > 1 year
638
792
723
769
722
796
838
695
618 593
541
630
730
788
10.2
12.2
11.5
12.2
11.5
12.5
13.3
10.9
9.6
9.1
8.2
9.4
10.9
11.6
0
2
4
6
8
10
12
14
0
100
200
300
400
500
600
700
800
900
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Age-adjustedmortalityrateper100,000
Number
Year
Number of unintentional opioid analgesic poisoning deaths Age-adjusted rate per 100,000
Unintentional drug poisoning deaths, NYC,
2000–2013
Source: New York City Office of the Chief Medical Examiner &
New York City Department of Health and Mental Hygiene 2000-2013
Rate of unintentional drug poisoning deaths by
drug type, NYC 2000–2013
(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
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
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
PRESCRIPTION MONITORING
PROGRAM
PMP for public health surveillance
• To understand population level prescription
use trends over time
– Historically, used as law enforcement tool
– NYC DOHMH developed key indicators to evaluate
data using the PMP
• To inform data-driven initiatives
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
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
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
Patients visiting multiple prescriber and
multiple pharmacies are rare
• In 2012, 1.2% (9,137) of patients visited 4+
prescribers and 4+ pharmacies
– Filled 7.9% (170,282) of all prescriptions
– Visited 15,042 unique prescribers
– Visited 2,913 unique pharmacies
Source: New York State Department of Health, Bureau of Narcotic Enforcement, Prescription Drug Monitoring Program, 2012
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
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.
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
QUALITATIVE COMPONENT
Objectives of qualitative research
• In-depth understanding
• Focus on behaviors and practices
• Adds context
• Utilizes interviews and observational
techniques
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
Enhancing surveillance using
qualitative methods
• Opioid study – 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
Key findings from qualitative research
• Identified heterogeneous groups of opioid
initiates
– Recreational
– Medical
– Experienced opioid users
• Levels of prescribing oversight exist on a
continuum
aberrant → loose → routine → judicious
• Participants who transitioned to heroin were
entrenched OA users
– Many new heroin initiates were not in touch with
harm reduction services
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
Summary
• Public health/public safety collaborations can
work well
• Continuing data access difficulties despite
collective buy-in
– PMP
– Treatment data
• Real-time data presents new challenges for
response
DATA DRIVEN APPROACHES: STATEN
ISLAND 2011–2013
Neighborhoods with high rates of OA prescriptions
have high rates of unintentional (overdose) deaths
involving opioid analgesics
*Paone D, Bradley O’Brien 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
Data-driven initiatives
Reduce
Overdose
Deaths
MAT
Access
Emergency
Action
Plan
Naloxone
Access
Staten
Island
Detailing
Overdose
Prevention
Programs
Opioid
Prescribing
Guidelines
Media
Campaigns
Opioid prescribing guidelines
• Less often: avoid prescribing opioids for
chronic non-cancer, non-end-of-life pain
 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
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
Staten Island public health
“Detailing” campaign
• 1-on-1 “detailing” visits from
Health Department representatives
• Deliver key prescribing
recommendations, clinical tools,
patient education materials
• ~1,000 Staten Island physicians,
nurse practitioners, physicians
assistants
• June–August 2013
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
– Search for “NYC MME Calculator”
http://www.nyc.gov/html/doh/html/mental/MME.html
• Smartphone app
Media campaigns
• Campaign One:
– Goal: Increase awareness of risk of opioid analgesic overdose
– Ran twice (2012, 2013)
• Campaign Two:
– Goal: Reduce stigma and raise awareness of opioid analgesic
misuse
– 2 testimonials
• Mom lost son to opioid analgesic overdose
• NYC resident in recovery
– Ran 2013 and 2014
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
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
OVERDOSE (OD) PREVENTION:
NALOXONE
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:
– Allow for individuals other than MDs, PAs, and
NPs to dispense a medication requiring a
prescription
• 61 registered overdose prevention programs in NYC
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
Naloxone distribution in NYC
• NYC Department of Homeless Services (DHS)
– More than half DHS Peace Officers are trained and
carry naloxone in all city shelters
• NYC Department of Corrections
– Rikers Island Visit House
• NYPD
– NYPD officers trained to carry and dispense naloxone
– Started as pilot in response to high opioid overdose
rates in Staten Island
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
– Doctor shopping is a rare event
– Important to use PMP metrics that can be applied across a
jurisdiction
• Multi-pronged data driven approaches have
demonstrated success
– Measurable and replicable
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

Weitere ähnliche Inhalte

Was ist angesagt?

Green pt1 state-pmp
Green pt1 state-pmpGreen pt1 state-pmp
Green pt1 state-pmp
Welcome40
 
Behind Bars II: Substance Use and America’s Prison Population
Behind Bars II: Substance Use and America’s Prison PopulationBehind Bars II: Substance Use and America’s Prison Population
Behind Bars II: Substance Use and America’s Prison Population
Center on Addiction
 

Was ist angesagt? (20)

Rx15 pdmp wed_1115_1_kreiner_2ringwalt
Rx15 pdmp wed_1115_1_kreiner_2ringwaltRx15 pdmp wed_1115_1_kreiner_2ringwalt
Rx15 pdmp wed_1115_1_kreiner_2ringwalt
 
Rx16 advocacy wed_200_1_mendell_2manlove
Rx16 advocacy wed_200_1_mendell_2manloveRx16 advocacy wed_200_1_mendell_2manlove
Rx16 advocacy wed_200_1_mendell_2manlove
 
Wed vs rx stat
Wed vs rx statWed vs rx stat
Wed vs rx stat
 
Rx16 adv wed_1230_1_thau_2gorman
Rx16 adv wed_1230_1_thau_2gormanRx16 adv wed_1230_1_thau_2gorman
Rx16 adv wed_1230_1_thau_2gorman
 
Rx16 adv tues_1115_1_seymourhsu_2baird_3cochran_4hartung_5alexander
Rx16 adv tues_1115_1_seymourhsu_2baird_3cochran_4hartung_5alexanderRx16 adv tues_1115_1_seymourhsu_2baird_3cochran_4hartung_5alexander
Rx16 adv tues_1115_1_seymourhsu_2baird_3cochran_4hartung_5alexander
 
Rx16 clinical wed_1230_1_shanehsaz_2waller
Rx16 clinical wed_1230_1_shanehsaz_2wallerRx16 clinical wed_1230_1_shanehsaz_2waller
Rx16 clinical wed_1230_1_shanehsaz_2waller
 
Rx16 tpp tues_1230_1_worthy_2williams
Rx16 tpp tues_1230_1_worthy_2williamsRx16 tpp tues_1230_1_worthy_2williams
Rx16 tpp tues_1230_1_worthy_2williams
 
Rx16 vs ukhealthcare_800_group
Rx16 vs ukhealthcare_800_groupRx16 vs ukhealthcare_800_group
Rx16 vs ukhealthcare_800_group
 
Web only rx16 len tues_1115_group
Web only rx16 len tues_1115_groupWeb only rx16 len tues_1115_group
Web only rx16 len tues_1115_group
 
Rx16 pharma tues_1230_1_ashley
Rx16 pharma tues_1230_1_ashleyRx16 pharma tues_1230_1_ashley
Rx16 pharma tues_1230_1_ashley
 
Rx16 vs nadcp_tues_800_1_walton
Rx16 vs nadcp_tues_800_1_waltonRx16 vs nadcp_tues_800_1_walton
Rx16 vs nadcp_tues_800_1_walton
 
Rx16 tpp wed_330_1_stack_2nelson_3roberts_4skinner
Rx16 tpp wed_330_1_stack_2nelson_3roberts_4skinnerRx16 tpp wed_330_1_stack_2nelson_3roberts_4skinner
Rx16 tpp wed_330_1_stack_2nelson_3roberts_4skinner
 
Green pt1 state-pmp
Green pt1 state-pmpGreen pt1 state-pmp
Green pt1 state-pmp
 
Rx15 treat tues_330_1_manns_2weiss_3ghitza_4campbell
Rx15 treat tues_330_1_manns_2weiss_3ghitza_4campbellRx15 treat tues_330_1_manns_2weiss_3ghitza_4campbell
Rx15 treat tues_330_1_manns_2weiss_3ghitza_4campbell
 
Rx16 tpp tues_200_1_bartlett-peak_2fisher
Rx16 tpp tues_200_1_bartlett-peak_2fisherRx16 tpp tues_200_1_bartlett-peak_2fisher
Rx16 tpp tues_200_1_bartlett-peak_2fisher
 
Rx16 pharma tues_330_1_painter_2lev_3green
Rx16 pharma tues_330_1_painter_2lev_3greenRx16 pharma tues_330_1_painter_2lev_3green
Rx16 pharma tues_330_1_painter_2lev_3green
 
Barbara Krantz
Barbara KrantzBarbara Krantz
Barbara Krantz
 
Opioid Surveillance and Policy: A Canadian Perspective by Tara Gomes, MHSc
Opioid Surveillance and Policy: A Canadian Perspective by Tara Gomes, MHScOpioid Surveillance and Policy: A Canadian Perspective by Tara Gomes, MHSc
Opioid Surveillance and Policy: A Canadian Perspective by Tara Gomes, MHSc
 
Overview of the Public Health Burden of Prescription Drug and Heroin Overdos...
Overview of the Public Health  Burden of Prescription Drug and Heroin Overdos...Overview of the Public Health  Burden of Prescription Drug and Heroin Overdos...
Overview of the Public Health Burden of Prescription Drug and Heroin Overdos...
 
Behind Bars II: Substance Use and America’s Prison Population
Behind Bars II: Substance Use and America’s Prison PopulationBehind Bars II: Substance Use and America’s Prison Population
Behind Bars II: Substance Use and America’s Prison Population
 

Ähnlich wie Rx15 tt tues_1230_1_carnevale_2green_3paone-tuazon

Ea 3 green weiss_katzman
Ea 3 green weiss_katzmanEa 3 green weiss_katzman
Ea 3 green weiss_katzman
OPUNITE
 
The economic burden of prescription opioid overdose... 2013.
The economic burden of prescription opioid overdose... 2013.The economic burden of prescription opioid overdose... 2013.
The economic burden of prescription opioid overdose... 2013.
Paul Coelho, MD
 
20130909-best practices work group-presentation.ppt
20130909-best practices work group-presentation.ppt20130909-best practices work group-presentation.ppt
20130909-best practices work group-presentation.ppt
ShirazKhokhar1
 
Masters thesis differential effectiveness of substance abuse treatment by j f...
Masters thesis differential effectiveness of substance abuse treatment by j f...Masters thesis differential effectiveness of substance abuse treatment by j f...
Masters thesis differential effectiveness of substance abuse treatment by j f...
Joyce Fuller
 
Effective Strategies For Intervening With Drug Abusing Offenders
Effective Strategies For Intervening With Drug Abusing OffendersEffective Strategies For Intervening With Drug Abusing Offenders
Effective Strategies For Intervening With Drug Abusing Offenders
lakatos
 

Ähnlich wie Rx15 tt tues_1230_1_carnevale_2green_3paone-tuazon (20)

Wed frieden web-version_rx_od (unite) - apr 8 -video_external
Wed frieden web-version_rx_od (unite) - apr 8 -video_externalWed frieden web-version_rx_od (unite) - apr 8 -video_external
Wed frieden web-version_rx_od (unite) - apr 8 -video_external
 
Wed vs ondcp labelle
Wed vs ondcp labelleWed vs ondcp labelle
Wed vs ondcp labelle
 
Ea 3 green weiss_katzman
Ea 3 green weiss_katzmanEa 3 green weiss_katzman
Ea 3 green weiss_katzman
 
State profile -_new_york_0
State profile -_new_york_0State profile -_new_york_0
State profile -_new_york_0
 
The economic burden of prescription opioid overdose... 2013.
The economic burden of prescription opioid overdose... 2013.The economic burden of prescription opioid overdose... 2013.
The economic burden of prescription opioid overdose... 2013.
 
20130909-best practices work group-presentation.ppt
20130909-best practices work group-presentation.ppt20130909-best practices work group-presentation.ppt
20130909-best practices work group-presentation.ppt
 
Masters thesis differential effectiveness of substance abuse treatment by j f...
Masters thesis differential effectiveness of substance abuse treatment by j f...Masters thesis differential effectiveness of substance abuse treatment by j f...
Masters thesis differential effectiveness of substance abuse treatment by j f...
 
Differential Effectiveness of Substance Abuse Treatment by Joyce Fuller
Differential Effectiveness of Substance Abuse Treatment by Joyce FullerDifferential Effectiveness of Substance Abuse Treatment by Joyce Fuller
Differential Effectiveness of Substance Abuse Treatment by Joyce Fuller
 
High Dose Initiation
High Dose InitiationHigh Dose Initiation
High Dose Initiation
 
Global Medical Cures™ | Responding to America's Prescription Drug Abuse Crisis
Global Medical Cures™ | Responding to America's Prescription Drug Abuse CrisisGlobal Medical Cures™ | Responding to America's Prescription Drug Abuse Crisis
Global Medical Cures™ | Responding to America's Prescription Drug Abuse Crisis
 
Rx15 pdmp tues_330_1_brown_2fondario_3quesinberry
Rx15 pdmp tues_330_1_brown_2fondario_3quesinberryRx15 pdmp tues_330_1_brown_2fondario_3quesinberry
Rx15 pdmp tues_330_1_brown_2fondario_3quesinberry
 
Twillman preventing rx abuse
Twillman preventing rx abuseTwillman preventing rx abuse
Twillman preventing rx abuse
 
Ph 4 rannizzisi
Ph 4 rannizzisiPh 4 rannizzisi
Ph 4 rannizzisi
 
Rx15 vi sion_tues_800_ameritox
Rx15 vi sion_tues_800_ameritoxRx15 vi sion_tues_800_ameritox
Rx15 vi sion_tues_800_ameritox
 
aidslinedec13
aidslinedec13aidslinedec13
aidslinedec13
 
Wed gs frieden
Wed gs friedenWed gs frieden
Wed gs frieden
 
Effective Strategies For Intervening With Drug Abusing Offenders
Effective Strategies For Intervening With Drug Abusing OffendersEffective Strategies For Intervening With Drug Abusing Offenders
Effective Strategies For Intervening With Drug Abusing Offenders
 
Safe Prescribing Practices Conference for Medical Professionals, June 2013
Safe Prescribing Practices Conference for Medical Professionals, June 2013Safe Prescribing Practices Conference for Medical Professionals, June 2013
Safe Prescribing Practices Conference for Medical Professionals, June 2013
 
Addiction Medicine: Closing the Gap between Science and Practice
Addiction Medicine: Closing the Gap between Science and PracticeAddiction Medicine: Closing the Gap between Science and Practice
Addiction Medicine: Closing the Gap between Science and Practice
 
Rx16 advocacy tues_330_1_olsen_2raymond_3conover
Rx16 advocacy tues_330_1_olsen_2raymond_3conoverRx16 advocacy tues_330_1_olsen_2raymond_3conover
Rx16 advocacy tues_330_1_olsen_2raymond_3conover
 

Mehr von OPUNITE

Web rx16 prev_tues_200_1_bretthaude-mueller_2scott_3debenedittis_4cairnes copy
Web rx16 prev_tues_200_1_bretthaude-mueller_2scott_3debenedittis_4cairnes copyWeb rx16 prev_tues_200_1_bretthaude-mueller_2scott_3debenedittis_4cairnes copy
Web rx16 prev_tues_200_1_bretthaude-mueller_2scott_3debenedittis_4cairnes copy
OPUNITE
 
Web only rx16-adv_tues_330_1_elliott_2brunson_3willis_4dean
Web only rx16-adv_tues_330_1_elliott_2brunson_3willis_4deanWeb only rx16-adv_tues_330_1_elliott_2brunson_3willis_4dean
Web only rx16-adv_tues_330_1_elliott_2brunson_3willis_4dean
OPUNITE
 
Web only rx16 pharma wed_200_1_hagemeier_2fleming_3vernachio
Web only rx16 pharma wed_200_1_hagemeier_2fleming_3vernachioWeb only rx16 pharma wed_200_1_hagemeier_2fleming_3vernachio
Web only rx16 pharma wed_200_1_hagemeier_2fleming_3vernachio
OPUNITE
 

Mehr von OPUNITE (20)

Dr. Tom Frieden keynote
Dr. Tom Frieden keynoteDr. Tom Frieden keynote
Dr. Tom Frieden keynote
 
Dr. Francis Collins keynote
Dr. Francis Collins keynoteDr. Francis Collins keynote
Dr. Francis Collins keynote
 
Kana Enomoto keynote
Kana Enomoto keynoteKana Enomoto keynote
Kana Enomoto keynote
 
Rx16 claad tue-vision_final
Rx16 claad tue-vision_finalRx16 claad tue-vision_final
Rx16 claad tue-vision_final
 
Web rx16 prev_tues_330_1_lawal_2warren_3huddleston_4pershing
Web rx16 prev_tues_330_1_lawal_2warren_3huddleston_4pershingWeb rx16 prev_tues_330_1_lawal_2warren_3huddleston_4pershing
Web rx16 prev_tues_330_1_lawal_2warren_3huddleston_4pershing
 
Rx16 general session_wed_800_1_volkow copy
Rx16 general session_wed_800_1_volkow copyRx16 general session_wed_800_1_volkow copy
Rx16 general session_wed_800_1_volkow copy
 
Rx16 general session_900_1_botticelli
Rx16 general session_900_1_botticelliRx16 general session_900_1_botticelli
Rx16 general session_900_1_botticelli
 
Web rx16 prev_tues_200_1_bretthaude-mueller_2scott_3debenedittis_4cairnes copy
Web rx16 prev_tues_200_1_bretthaude-mueller_2scott_3debenedittis_4cairnes copyWeb rx16 prev_tues_200_1_bretthaude-mueller_2scott_3debenedittis_4cairnes copy
Web rx16 prev_tues_200_1_bretthaude-mueller_2scott_3debenedittis_4cairnes copy
 
Rx16 treat wed_330_1_barnes_2clarkolsen
Rx16 treat wed_330_1_barnes_2clarkolsenRx16 treat wed_330_1_barnes_2clarkolsen
Rx16 treat wed_330_1_barnes_2clarkolsen
 
Rx16 pdmp wed_330_1_hoppe_2sun_3baumgartner-leichting
Rx16 pdmp wed_330_1_hoppe_2sun_3baumgartner-leichtingRx16 pdmp wed_330_1_hoppe_2sun_3baumgartner-leichting
Rx16 pdmp wed_330_1_hoppe_2sun_3baumgartner-leichting
 
Rx16 prev wed_330_workplace issues and strategies
Rx16 prev wed_330_workplace issues and strategiesRx16 prev wed_330_workplace issues and strategies
Rx16 prev wed_330_workplace issues and strategies
 
Web only rx16 pharma-wed_330_1_shelley_2atwood-harless
Web only rx16 pharma-wed_330_1_shelley_2atwood-harlessWeb only rx16 pharma-wed_330_1_shelley_2atwood-harless
Web only rx16 pharma-wed_330_1_shelley_2atwood-harless
 
Rx16 len wed_330_1_ferdinand_2price
Rx16 len wed_330_1_ferdinand_2priceRx16 len wed_330_1_ferdinand_2price
Rx16 len wed_330_1_ferdinand_2price
 
Rx16 heroin wed_330_1_rader_2lynch-earle
Rx16 heroin wed_330_1_rader_2lynch-earleRx16 heroin wed_330_1_rader_2lynch-earle
Rx16 heroin wed_330_1_rader_2lynch-earle
 
Rx16 clinical wed_330_1_saunders_2wexelblatt
Rx16 clinical wed_330_1_saunders_2wexelblattRx16 clinical wed_330_1_saunders_2wexelblatt
Rx16 clinical wed_330_1_saunders_2wexelblatt
 
Web only rx16-adv_tues_330_1_elliott_2brunson_3willis_4dean
Web only rx16-adv_tues_330_1_elliott_2brunson_3willis_4deanWeb only rx16-adv_tues_330_1_elliott_2brunson_3willis_4dean
Web only rx16-adv_tues_330_1_elliott_2brunson_3willis_4dean
 
Rx16 treat wed_200_group_falkinburg_miller
Rx16 treat wed_200_group_falkinburg_millerRx16 treat wed_200_group_falkinburg_miller
Rx16 treat wed_200_group_falkinburg_miller
 
Rx16 tpp wed_200_group
Rx16 tpp wed_200_groupRx16 tpp wed_200_group
Rx16 tpp wed_200_group
 
Rx16 prevent wed_200_1_cairnes-wertnepy_2arnold
Rx16 prevent wed_200_1_cairnes-wertnepy_2arnoldRx16 prevent wed_200_1_cairnes-wertnepy_2arnold
Rx16 prevent wed_200_1_cairnes-wertnepy_2arnold
 
Web only rx16 pharma wed_200_1_hagemeier_2fleming_3vernachio
Web only rx16 pharma wed_200_1_hagemeier_2fleming_3vernachioWeb only rx16 pharma wed_200_1_hagemeier_2fleming_3vernachio
Web only rx16 pharma wed_200_1_hagemeier_2fleming_3vernachio
 

KĂźrzlich hochgeladen

Independent Call Girls Hyderabad 💋 9352988975 💋 Genuine WhatsApp Number for R...
Independent Call Girls Hyderabad 💋 9352988975 💋 Genuine WhatsApp Number for R...Independent Call Girls Hyderabad 💋 9352988975 💋 Genuine WhatsApp Number for R...
Independent Call Girls Hyderabad 💋 9352988975 💋 Genuine WhatsApp Number for R...
Ahmedabad Call Girls
 
Punjab Call Girls Contact Number +919053,900,678 Punjab Call Girls
Punjab Call Girls Contact Number +919053,900,678 Punjab Call GirlsPunjab Call Girls Contact Number +919053,900,678 Punjab Call Girls
Punjab Call Girls Contact Number +919053,900,678 Punjab Call Girls
@Chandigarh #call #Girls 9053900678 @Call #Girls in @Punjab 9053900678
 
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
Ahmedabad Call Girls
 
Call Girl in Indore 8827247818 {Low Price}👉 Nitya Indore Call Girls * ITRG...
Call Girl in Indore 8827247818 {Low Price}👉   Nitya Indore Call Girls  * ITRG...Call Girl in Indore 8827247818 {Low Price}👉   Nitya Indore Call Girls  * ITRG...
Call Girl in Indore 8827247818 {Low Price}👉 Nitya Indore Call Girls * ITRG...
mahaiklolahd
 
Top 20 Famous Indian Female Pornstars Name List 2024
Top 20 Famous Indian Female Pornstars Name List 2024Top 20 Famous Indian Female Pornstars Name List 2024
Top 20 Famous Indian Female Pornstars Name List 2024
Sheetaleventcompany
 
🍑👄Ludhiana Escorts Service☎️98157-77685🍑👄 Call Girl service in Ludhiana☎️Ludh...
🍑👄Ludhiana Escorts Service☎️98157-77685🍑👄 Call Girl service in Ludhiana☎️Ludh...🍑👄Ludhiana Escorts Service☎️98157-77685🍑👄 Call Girl service in Ludhiana☎️Ludh...
🍑👄Ludhiana Escorts Service☎️98157-77685🍑👄 Call Girl service in Ludhiana☎️Ludh...
dilpreetentertainmen
 
Call Girl in Indore 8827247818 {Low Price}👉 Meghna Indore Call Girls * DXZ...
Call Girl in Indore 8827247818 {Low Price}👉   Meghna Indore Call Girls  * DXZ...Call Girl in Indore 8827247818 {Low Price}👉   Meghna Indore Call Girls  * DXZ...
Call Girl in Indore 8827247818 {Low Price}👉 Meghna Indore Call Girls * DXZ...
mahaiklolahd
 
visakhapatnam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
visakhapatnam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetvisakhapatnam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
visakhapatnam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Call Girls Chandigarh
 
Escorts Lahore || 🔞 03274100048 || Escort service in Lahore
Escorts Lahore || 🔞 03274100048 || Escort service in LahoreEscorts Lahore || 🔞 03274100048 || Escort service in Lahore
Escorts Lahore || 🔞 03274100048 || Escort service in Lahore
Deny Daniel
 
9316020077📞Majorda Beach Call Girls Numbers, Call Girls Whatsapp Numbers Ma...
9316020077📞Majorda Beach Call Girls  Numbers, Call Girls  Whatsapp Numbers Ma...9316020077📞Majorda Beach Call Girls  Numbers, Call Girls  Whatsapp Numbers Ma...
9316020077📞Majorda Beach Call Girls Numbers, Call Girls Whatsapp Numbers Ma...
Goa cutee sexy top girl
 
surat Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
surat Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetsurat Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
surat Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Call Girls Chandigarh
 
Gorgeous Call Girls In Pune {9xx000xx09} ❤️VVIP ANKITA Call Girl in Pune Maha...
Gorgeous Call Girls In Pune {9xx000xx09} ❤️VVIP ANKITA Call Girl in Pune Maha...Gorgeous Call Girls In Pune {9xx000xx09} ❤️VVIP ANKITA Call Girl in Pune Maha...
Gorgeous Call Girls In Pune {9xx000xx09} ❤️VVIP ANKITA Call Girl in Pune Maha...
Sheetaleventcompany
 
Escorts Service Ahmedabad🌹6367187148 🌹 No Need For Advance Payments
Escorts Service Ahmedabad🌹6367187148 🌹 No Need For Advance PaymentsEscorts Service Ahmedabad🌹6367187148 🌹 No Need For Advance Payments
Escorts Service Ahmedabad🌹6367187148 🌹 No Need For Advance Payments
Ahmedabad Call Girls
 
👉Bangalore Call Girl Service👉📞 7304373326 👉📞 Just📲 Call Rajveer Call Girls Se...
👉Bangalore Call Girl Service👉📞 7304373326 👉📞 Just📲 Call Rajveer Call Girls Se...👉Bangalore Call Girl Service👉📞 7304373326 👉📞 Just📲 Call Rajveer Call Girls Se...
👉Bangalore Call Girl Service👉📞 7304373326 👉📞 Just📲 Call Rajveer Call Girls Se...
Sheetaleventcompany
 

KĂźrzlich hochgeladen (20)

Independent Call Girls Hyderabad 💋 9352988975 💋 Genuine WhatsApp Number for R...
Independent Call Girls Hyderabad 💋 9352988975 💋 Genuine WhatsApp Number for R...Independent Call Girls Hyderabad 💋 9352988975 💋 Genuine WhatsApp Number for R...
Independent Call Girls Hyderabad 💋 9352988975 💋 Genuine WhatsApp Number for R...
 
Punjab Call Girls Contact Number +919053,900,678 Punjab Call Girls
Punjab Call Girls Contact Number +919053,900,678 Punjab Call GirlsPunjab Call Girls Contact Number +919053,900,678 Punjab Call Girls
Punjab Call Girls Contact Number +919053,900,678 Punjab Call Girls
 
Ludhiana Call Girls Service Just Call 6367187148 Top Class Call Girl Service ...
Ludhiana Call Girls Service Just Call 6367187148 Top Class Call Girl Service ...Ludhiana Call Girls Service Just Call 6367187148 Top Class Call Girl Service ...
Ludhiana Call Girls Service Just Call 6367187148 Top Class Call Girl Service ...
 
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
 
Call Girl in Indore 8827247818 {Low Price}👉 Nitya Indore Call Girls * ITRG...
Call Girl in Indore 8827247818 {Low Price}👉   Nitya Indore Call Girls  * ITRG...Call Girl in Indore 8827247818 {Low Price}👉   Nitya Indore Call Girls  * ITRG...
Call Girl in Indore 8827247818 {Low Price}👉 Nitya Indore Call Girls * ITRG...
 
Top 20 Famous Indian Female Pornstars Name List 2024
Top 20 Famous Indian Female Pornstars Name List 2024Top 20 Famous Indian Female Pornstars Name List 2024
Top 20 Famous Indian Female Pornstars Name List 2024
 
🍑👄Ludhiana Escorts Service☎️98157-77685🍑👄 Call Girl service in Ludhiana☎️Ludh...
🍑👄Ludhiana Escorts Service☎️98157-77685🍑👄 Call Girl service in Ludhiana☎️Ludh...🍑👄Ludhiana Escorts Service☎️98157-77685🍑👄 Call Girl service in Ludhiana☎️Ludh...
🍑👄Ludhiana Escorts Service☎️98157-77685🍑👄 Call Girl service in Ludhiana☎️Ludh...
 
Call Girl in Indore 8827247818 {Low Price}👉 Meghna Indore Call Girls * DXZ...
Call Girl in Indore 8827247818 {Low Price}👉   Meghna Indore Call Girls  * DXZ...Call Girl in Indore 8827247818 {Low Price}👉   Meghna Indore Call Girls  * DXZ...
Call Girl in Indore 8827247818 {Low Price}👉 Meghna Indore Call Girls * DXZ...
 
visakhapatnam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
visakhapatnam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetvisakhapatnam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
visakhapatnam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
AECS Layout Escorts (Bangalore) 9352852248 Women seeking Men Real Service
AECS Layout Escorts (Bangalore) 9352852248 Women seeking Men Real ServiceAECS Layout Escorts (Bangalore) 9352852248 Women seeking Men Real Service
AECS Layout Escorts (Bangalore) 9352852248 Women seeking Men Real Service
 
Escorts Lahore || 🔞 03274100048 || Escort service in Lahore
Escorts Lahore || 🔞 03274100048 || Escort service in LahoreEscorts Lahore || 🔞 03274100048 || Escort service in Lahore
Escorts Lahore || 🔞 03274100048 || Escort service in Lahore
 
9316020077📞Majorda Beach Call Girls Numbers, Call Girls Whatsapp Numbers Ma...
9316020077📞Majorda Beach Call Girls  Numbers, Call Girls  Whatsapp Numbers Ma...9316020077📞Majorda Beach Call Girls  Numbers, Call Girls  Whatsapp Numbers Ma...
9316020077📞Majorda Beach Call Girls Numbers, Call Girls Whatsapp Numbers Ma...
 
surat Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
surat Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetsurat Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
surat Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Gorgeous Call Girls In Pune {9xx000xx09} ❤️VVIP ANKITA Call Girl in Pune Maha...
Gorgeous Call Girls In Pune {9xx000xx09} ❤️VVIP ANKITA Call Girl in Pune Maha...Gorgeous Call Girls In Pune {9xx000xx09} ❤️VVIP ANKITA Call Girl in Pune Maha...
Gorgeous Call Girls In Pune {9xx000xx09} ❤️VVIP ANKITA Call Girl in Pune Maha...
 
Escorts Service Ahmedabad🌹6367187148 🌹 No Need For Advance Payments
Escorts Service Ahmedabad🌹6367187148 🌹 No Need For Advance PaymentsEscorts Service Ahmedabad🌹6367187148 🌹 No Need For Advance Payments
Escorts Service Ahmedabad🌹6367187148 🌹 No Need For Advance Payments
 
Kochi call girls Mallu escort girls available 7877702510
Kochi call girls Mallu escort girls available 7877702510Kochi call girls Mallu escort girls available 7877702510
Kochi call girls Mallu escort girls available 7877702510
 
Call Girls Service Mohali {7435815124} ❤️VVIP PALAK Call Girl in Mohali Punjab
Call Girls Service Mohali {7435815124} ❤️VVIP PALAK Call Girl in Mohali PunjabCall Girls Service Mohali {7435815124} ❤️VVIP PALAK Call Girl in Mohali Punjab
Call Girls Service Mohali {7435815124} ❤️VVIP PALAK Call Girl in Mohali Punjab
 
👉Bangalore Call Girl Service👉📞 7304373326 👉📞 Just📲 Call Rajveer Call Girls Se...
👉Bangalore Call Girl Service👉📞 7304373326 👉📞 Just📲 Call Rajveer Call Girls Se...👉Bangalore Call Girl Service👉📞 7304373326 👉📞 Just📲 Call Rajveer Call Girls Se...
👉Bangalore Call Girl Service👉📞 7304373326 👉📞 Just📲 Call Rajveer Call Girls Se...
 
2024 PCP #IMPerative Updates in Rheumatology
2024 PCP #IMPerative Updates in Rheumatology2024 PCP #IMPerative Updates in Rheumatology
2024 PCP #IMPerative Updates in Rheumatology
 
Sexy Call Girl Tiruvannamalai Arshi 💚9058824046💚 Tiruvannamalai Escort Service
Sexy Call Girl Tiruvannamalai Arshi 💚9058824046💚 Tiruvannamalai Escort ServiceSexy Call Girl Tiruvannamalai Arshi 💚9058824046💚 Tiruvannamalai Escort Service
Sexy Call Girl Tiruvannamalai Arshi 💚9058824046💚 Tiruvannamalai Escort Service
 

Rx15 tt tues_1230_1_carnevale_2green_3paone-tuazon

  • 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: – 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. 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. Today’s 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. – In 2013, an estimated 24.6 million Americans aged 12 or older were current (past month) illicit drug users—this 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 medication—we 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 – more than motor vehicle crashes.1  Drug overdoses: 38,851  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:  About 20.0% of drivers tested positive for at least one drug in 2014, up from 16.3% in 2007.  Presence of Rx drugs for weekend drivers was 4.9% in 2014, up from 3.9% in 2007.  Some 12.6% of drivers had evidence of marijuana use in their systems, up from 8.6% in 2007. Source: Results of the 2013–2014 National Roadside Survey of Alcohol and Drug Use by Drivers NHTSA’s 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 (ICD–10). 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: “Wrote Fake Prescription,” “Stole from Doctor’s Office/Clinic/Hospital/Pharmacy,” and “Some Other Way.”
  • 17. Media/Communication – Social marketing campaigns – Pharmacy and “point of sale” advertising campaigns – Media advocacy campaigns – General public education and information dissemination Enforcement – Enforcement of prescriber and pain clinic laws – Tip and Reward Programs – Law Enforcement Training – Drug testing Institutional Practices – Prescriber education – Patient education and brief interventions – Pain Management/Pain Clinic standards and best practices – Electronic health records initiatives – Protocols for pharmaceutical care at hospital discharge – Online Rx management accounts Policy Options for Rx Drug Abuse: A Sampling of Numerous Strategies Regulations/Laws – Prescription Drug Monitoring Program (PMPs) – Drug manufacturer requirements regarding prescriber education – Patient review and restriction programs – Physical exam prior to prescribing laws – Requiring proper identification before dispensation – Model pain clinic regulations – Restricted internet access to Rx Drugs – Doctor shopping laws – Rx limits of sale – Prescriber requirements to regularly see patients using controlled substances – Advertising restrictions for scheduled drugs – Naloxone access – DEA guidelines for communicating controlled substances Rx to pharmacies – DEA prescriber licensing requirements – Parental liability laws Structural – “Take-Back” Locations (including disposals and drop boxes) – Altering the physical environment – 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: – 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. – Brandeis Center of Excellence (2012): found that states with PMPs were less likely to experience diversion; states with “proactive” 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: – 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. – Research is needed to determine whether take-back programs achieve environmental or substance abuse outcomes. – 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*  Limited and inconsistent  Critical need to improve evidence base, BUT. . . * Haegerich, T.M., et al., What we know, and don’t 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  Reduce inappropriate prescribing  Reduce use of multiple prescribers  Focus on overdose response
  • 26. Prescribing Practices  More informed prescribing  More appropriate prescribing  Changes in types and amounts of drugs prescribed
  • 27.  Make state Prescription Drug Monitoring Program (PMP) data more actionable  Timely, efficient access within electronic health record at time of treatment decisions  Provide proactive alerts and analysis tools for PMP data
  • 28.  Provide easily understood and applied risk assessment tools  Screening, Brief Intervention and Referral to Treatment (SBIRT)  Develop clinical indicators for drug and alcohol abuse  Request medication by name  Multiple visits for some complaints
  • 29.  Train on alternatives to controlled substances for pain management  Educate on diagnosing signs and symptoms of abuse and addiction  Create awareness of available services for addiction treatment, pain management, mental health
  • 30.  Implement clinical guidelines  Adopt pain clinic legislation
  • 31. Overdose Death Prevention  Save people from dying  Opportunity to treat their addiction
  • 32.  Allow first responders, families, friends and appropriate others to possess and administer Naloxone  Co-prescribe Naloxone when prescribe opioids  Adopt “Good Samaritan” protections for summoning aid  Eliminate fear of arrest and prosecution
  • 33. Linkages to Treatment  Stop continued abuse and addiction  Stop social and economic consequences of abuse and addiction  Provide addict access to treatment with proper intensity and length of stay
  • 34.  ERs – prioritize assessment for overdose victims; involuntary commitments  Drug Courts  Pre-trial diversion – prioritize diversion shortly after arrest  Employee assistance programs (EAPs)
  • 35.  Student assistance programs (SAPs)  At-risk youth programs
  • 36. Treatment  Provide full continuum of evidence-based treatment services  Diversify funding  Appropriations  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)
  • 38. RxSummit: Data-Driven Trends Denise Paone, EdD Ellenie Tuazon, MPH New York City Department of Health and Mental Hygiene
  • 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
  • 43. RxStat: Central focus and unifying goal Reduce Overdose Deaths
  • 44. RxStat • Public health & public safety collaboration – Housed at NYC Department of Health & Mental Hygiene (DOHMH); leverages expertise and infrastructure • “Real-time” (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 – 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 – Basics – Getting started – Building content (data, resources) – Managing process – 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 doctors’ offices and pharmacies targeting CPDs • Since Rx Crimes launched in 2012 – 550,000 pills reported stolen in NY and NJ • 76% Painkillers – 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 – Time lag for the CDC is currently > 1 year
  • 55. 638 792 723 769 722 796 838 695 618 593 541 630 730 788 10.2 12.2 11.5 12.2 11.5 12.5 13.3 10.9 9.6 9.1 8.2 9.4 10.9 11.6 0 2 4 6 8 10 12 14 0 100 200 300 400 500 600 700 800 900 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Age-adjustedmortalityrateper100,000 Number Year Number of unintentional opioid analgesic poisoning deaths Age-adjusted rate per 100,000 Unintentional drug poisoning deaths, NYC, 2000–2013 Source: New York City Office of the Chief Medical Examiner & New York City Department of Health and Mental Hygiene 2000-2013
  • 56. Rate of unintentional drug poisoning deaths by drug type, NYC 2000–2013 (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 – Historically, used as law enforcement tool – 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 – Filled 7.9% (170,282) of all prescriptions – Visited 15,042 unique prescribers – 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 – 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 – Recreational – Medical – Experienced opioid users • Levels of prescribing oversight exist on a continuum aberrant → loose → routine → judicious • Participants who transitioned to heroin were entrenched OA users – 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 – PMP – Treatment data • Real-time data presents new challenges for response
  • 75. DATA DRIVEN APPROACHES: STATEN ISLAND 2011–2013
  • 76. Neighborhoods with high rates of OA prescriptions have high rates of unintentional (overdose) deaths involving opioid analgesics *Paone D, Bradley O’Brien 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  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 “Detailing” campaign • 1-on-1 “detailing” visits from Health Department representatives • Deliver key prescribing recommendations, clinical tools, patient education materials • ~1,000 Staten Island physicians, nurse practitioners, physicians assistants • June–August 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 – Search for “NYC MME Calculator” http://www.nyc.gov/html/doh/html/mental/MME.html • Smartphone app
  • 83. Media campaigns • Campaign One: – Goal: Increase awareness of risk of opioid analgesic overdose – Ran twice (2012, 2013) • Campaign Two: – Goal: Reduce stigma and raise awareness of opioid analgesic misuse – 2 testimonials • Mom lost son to opioid analgesic overdose • NYC resident in recovery – 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: – 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) – More than half DHS Peace Officers are trained and carry naloxone in all city shelters • NYC Department of Corrections – Rikers Island Visit House • NYPD – NYPD officers trained to carry and dispense naloxone – 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 – Doctor shopping is a rare event – Important to use PMP metrics that can be applied across a jurisdiction • Multi-pronged data driven approaches have demonstrated success – 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

  1. 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, it’s not just docs, but others that can prescribe—in some states nurses can prescribe some drugs, dentists, and vets.
  2. And according to NSDUH:   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]
  3. 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.
  4. 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.
  5. 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. A 6% increase in all drug poisoning deaths from 2012. A 1% increase in deaths involving opioid analgesics over 2012.   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.  – 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 Administration’s 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 (ICD–10). Drug-poisoning deaths are identified using ICD–10 underlying cause-of-death codes X40–X44, X60–X64, X85, and Y10–Y14. 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
  6. Free from Friend/Relative Historical 2012-2013 53.0% 2011-2012     54.0% 2010-2011 54.2% 2009-2010 55.0% 2008-2009 55.3% 2007-2008 55.9% Policy officials tend to target “doctor shoppers” 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.
  7. Mention ONDCP’s Rx prevention plan, the four pillars of which are education, disposal, PMP’s and law enforcement. Many of the options noted in the slide are covered in the Plan.
  8. 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. 0.02 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. 1.6 percent). Four out of five recent heroin initiates (79.5 percent) previously used NMPR whereas only 1.0 percent of recent NMPR initiates had prior use of heroin. However, the vast majority of NMPR users have not progressed to heroin use. Only 3.6 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.
  9. 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.
  10. 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.   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: Father’s Day 2011 – Laffer & wife rob Medford, LI pharmacy, murdering 4 people NYE Dec. 2011 - Seaford, LI pharmacy robbery – 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
  11. (NYC OVS 2012 data published in Feb.2014)
  12. 55
  13. •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: Representative because it is population based Timeliness due to required reporting Data quality is monitored by insurance and system error checks Little additional cost to analyze data
  14. 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
  15. -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.
  16. -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.
  17. Increases in oxycodone in the Bronx, Manhattan, and Queens. Slight decreases in Brooklyn and Staten Island.
  18. 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.
  19. 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.
  20. Other: Hospitals, CBOs, DOHMH, DHS, NYPD, Correctional Health (Rikers Visit House)
  21. Add transition slide