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2012 NCHS/SAMHSA Data User Conferences

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2012 NCHS/SAMHSA Data User Conferences . Medical Emergencies: A Strategy to Assess and Identify Potentially Inappropriate Medications (PIMs) for Older Persons. Victoria A. Albright Al Woodward Victoria Scott August 8, 2012. Drug Abuse Warning Network (DAWN) - PowerPoint PPT Presentation
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RTI International RTI International is a trade name of Research Triangle Institute. www.rti.org 2012 NCHS/SAMHSA Data User Conferences Medical Emergencies: A Strategy to Assess and Identify Potentially Inappropriate Medications (PIMs) for Older Persons Victoria A. Albright Al Woodward Victoria Scott August 8, 2012
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Page 1: 2012 NCHS/SAMHSA Data User Conferences

RTI International

RTI International is a trade name of Research Triangle Institute. www.rti.org

2012 NCHS/SAMHSA Data User Conferences

Medical Emergencies: A Strategy to Assess and Identify Potentially

Inappropriate Medications (PIMs) for Older Persons

Victoria A. AlbrightAl WoodwardVictoria Scott

 August 8, 2012

Page 2: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Drug Abuse Warning Network (DAWN) Center for Behavioral Health Statistics and Quality (CBHSQ),

Substance Abuse and Mental Health Services Administration (SAMHSA)

Screen sample of emergency department (ED) visit records Collect data on ED visits related to drugs

Inclusion criteria All ED visits: adverse reactions, overmedication,

pharmaceutical misuse/abuse, accidental ingestion, suicide attempts

About three-quarter million visits by persons aged 65 and older in 2010

2

Page 3: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Magnitude of the problem of adverse drug-related outcomes

Older persons (65+) need to take special care in choosing medications - PIMs

How DAWN data can help evaluate adverse outcomes due to drugs in older population

What you will know at the end– PIMs with rising levels of adverse outcomes

– Emerging drugs with rising levels of adverse outcomes

Outline of Presentation

3

Page 4: 2012 NCHS/SAMHSA Data User Conferences

RTI International

ED visits for unintentional injuries by older persons

Fall

Drug-re

lated

ED vi

sits

Struck

by or

again

st

Overex

ertion

Occup

ant in

MV ac

ciden

tCut

0

500,000

1,000,000

1,500,000

2,000,000

2,500,000 2,350,009

782,265

254,596 196,972 194,850 140,823

ED V

isits

in 1

,000

s

4

SOURCE: Center for Disease Control and Prevention, National Center for Injury Prevention and Control (2012). Web-based Injury Statistics Query and Reporting System (WISQARS). Retrieved June 4, 2012 from http://www.cdc.gov/injury/wisqars/. index.html and Center for Behavioral Health Statistics and Quality, SAMHSA, Drug Abuse Warning Network, 2010.

Page 5: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Trends in drug-related ED visits for older persons

2005 2006 2007 2008 2009 20100.0

500.0

1,000.0

1,500.0

2,000.0

2,500.0

ED v

isits

per

100

,000

pop

ulat

ion

aged

65+

5

SOURCE: Center for Behavioral Health Statistics and Quality, SAMHSA, Drug Abuse Warning Network, 2010.

Page 6: 2012 NCHS/SAMHSA Data User Conferences

RTI International

PIMs – Potentially inappropriate medications– Clinical evidence of adverse

outcome

– Known safer, alternative treatment/therapies

Balance of risks versus benefits when prescribing– Acceptable risk

– Determined on an individual basis

PIMs for Older Population

6

Page 7: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Unrecognized dangerous drugs– New drugs with short track records

– Complex interactions with long-term, multi-drug, treatment plans

Consumer behavior– Non-prescription drugs, e.g.,

nutritional products

– Pill “hoarding” and self-medication

– Misuse/abuse of pharmaceuticals

PIM analysis may under-represent certain drugs

7

Page 8: 2012 NCHS/SAMHSA Data User Conferences

RTI International

DAWN data can measure adverseoutcomes for specific drugs identified as PIMs as well as under-represented drugs

Limitation of DAWN data – doesn’t account for volume of prescribing

What value is DAWN data in identifying potentially dangerous drugs for older persons if we can not parse out volume from danger?

How DAWN data can help evaluate drug risks for older population?

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Page 9: 2012 NCHS/SAMHSA Data User Conferences

RTI International

DAWN can measure absence =

“below level of detection”

PIMs below level of detection =

successful efforts at finding alternative treatment/ therapies

Identify PIMs that are no longer in use

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Page 10: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Examples 2010 Rate

2005 Rate

Barbituates secobarbital * * pentobarbital * * amobarbital * *Antispasmodics belladonna alkaloids * * hyoscyamine * * propantheline * *

PIMs below level of detection – 134 drugs

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SOURCE: Center for Behavioral Health Statistics and Quality, SAMHSA, Drug Abuse Warning Network, 2010.

Page 11: 2012 NCHS/SAMHSA Data User Conferences

RTI International

DAWN can measure stability =

Compare 2005 to 2010

PIMs with stable involvement =

“Acceptable risk” – balance of risk/benefitsfor individual patients

Identify PIMs that are Stable

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Page 12: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Amitriptyline HydroxyzineAripiprazole IbuprofenCarbidopa-Levodopa IndomethacinCarisoprodol Naproxen ProductsClonidine OlanzapineCyclobenzaprine PramipexoleDiazepam RisperidoneDiclofenac SotalolDiphenhydramine SpironolactoneDoxazosin SulfonylureasEszopiclone TemazepamHaloperidol Terazosin

Stable PIMs – 24 drugs

Page 13: 2012 NCHS/SAMHSA Data User Conferences

RTI International

DAWN can measure increasing involvement =

Statistically significant increases over time

PIMs with increasing involvement =

Red flag these drugs - known problem drugs

experiencing increases in prescribing/ consumption

PIMs with Increasing Use – 9 drugs

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Page 14: 2012 NCHS/SAMHSA Data User Conferences

RTI International

PIMs increasing – Benzodiazepines Alprazolam, Clonazepam, Lorazepam

2010 Rate

% change

% of total TG

Benzodiazepines 84.4 93% 100%

PIMs alprazolam 24.8 147% 29%

clonazepam 13.3 115% 16%

lorazepam 28.2 102% 33%

diazepam 6.2 NC 7%

temazepam 5.3 NC 6%

14

SOURCE: Center for Behavioral Health Statistics and Quality, SAMHSA, Drug Abuse Warning Network, 2010.

Brand names:Xanax

KlonopinAtivan

Conditions: Anxiety

Insomnia Agitation Seizures Muscle spasms

Page 15: 2012 NCHS/SAMHSA Data User Conferences

RTI International

PIM increasing –Hypnotic Zolpidem

2010 Rate

% change

% of total TG

Other Hypnotics 43.7 103% 100%

PIMs zolpidem 24.0 113% 55%

diphenhydramine 7.8 NC 18%

eszopiclone 2.1 NC 5%

hydroxzine 2.8 NC 6%

Non-PIM

buspirone 1.9 NC 4%

15SOURCE: Center for Behavioral Health Statistics and Quality, SAMHSA, Drug Abuse Warning Network, 2010.

Brand names: Ambien

Condition: Insomnia

Page 16: 2012 NCHS/SAMHSA Data User Conferences

RTI International

PIM increasing – Antipsychotic Quetiapine

2010Rate

% change

% of total TG

Antipsychotics 41.8 78% 100%

PIMs quetiapine 20.2 226% 48%

aripiprazole 1.2 NC 3%

haloperidol 4.9 NC 12%

olanzapine 5.4 NC 13%

risperdone 4.0 NC 10%

Non-PIM

lithium 4.2 NC 10%

16 SOURCE: Center for Behavioral Health Statistics and Quality, SAMHSA, Drug Abuse Warning Network, 2010.

Brand Names: • Seroquel, • Seroquel XR

Conditions:• Bipolar Disorder• Borderline Personality Disorder• Depression• Generalized An- xiety Disorder• Insomnia• Obsessive Compulsive Disorder• Paranoid Disorder• Post Traumatic Stress Disorder• Schizoaffective Disorder• Schizophrenia• Tourette's Syndrome

Page 17: 2012 NCHS/SAMHSA Data User Conferences

RTI International

PIM increasing – Antiarrhythmic Amiodarone

2010 Rate

% change

% of total TG

Antiarrhythmics 16.4 170% 100%

PIMs amiodarone 10.5 308% 64%

sotalol 3.5 NC 21%

17

SOURCE: Center for Behavioral Health Statistics and Quality, SAMHSA, Drug Abuse Warning Network, 2010.

Page 18: 2012 NCHS/SAMHSA Data User Conferences

RTI International

PIM increasing – Antihistamine Promethazine

2010 Rate

% change

% of total TG

Antihistamines 15.7 132% 100%

PIMs promethazine 6.9 139% 44%

Non-PIM

loratadine 4.9 NC 31%

18

SOURCE: Center for Behavioral Health Statistics and Quality, SAMHSA, Drug Abuse Warning Network, 2010.

Page 19: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Additional research needed to determine if due to:

Reasons for Rising Involvement

19

More prescribing

Interactions

Self medication

Misuse/abuse

Page 20: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Non-PIMs with stable or declining levels = low interest or concern

Non-PIMs with increasing levels =

emerging problem drugs due to net effect of: Unrecognized dangers More prescribing Unexpected interactions More self-medication More misuse/abuse

Why look at non-PIMs?

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CAUTION!!!

Page 21: 2012 NCHS/SAMHSA Data User Conferences

RTI International

DAWN groups drugs in therapeutic groups, e.g. Antihistamines, Benzodiazepines

Look for therapeutic groups where PIMs are stable or declining and non-PIMs are rising

Possibility that increased use of alternative drugs (non-PIMs) is contributing to adverse outcomes

Therapeutic Groups - Another advantage of DAWN

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Page 22: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Emerging PIM – Alpha1 Blocker Tamsulosin

2010 Rate

% change % of TG

Alpha1 Blockers 18.2 152% 100%

PIMs doxazosin 1.9 NC 10%

terazosin 4.6 NC 25%

Non-PIM tamsulosin 9.8 326% 54%

22

SOURCE: Center for Behavioral Health Statistics and Quality, SAMHSA, Drug Abuse Warning Network, 2010.

Page 23: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Emerging PIM – Antidiabetic Biguanides

2010 Rate % change % of TG

Antidiabetics 203 61% 100%

PIMs insulin 136.5 68% 38%

sulfonylureas 49.3 NC 24%

Non-PIM biguanides 25.8 111% 13%

23

SOURCE: Center for Behavioral Health Statistics and Quality, SAMHSA, Drug Abuse Warning Network, 2010.

Page 24: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Emerging PIMs – Non-narcotic pain relievers Acetaminophen, Tramadol

2010 Rate

% change

Non-narcotic pain relievers

PIMs aspirin 64.0 62%

Non-PIMacetaminophen products 15.8 208%

tramadol products 24.1 138%

24

SOURCE: Center for Behavioral Health Statistics and Quality, SAMHSA, Drug Abuse Warning Network, 2010.

Page 25: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Other drugs we should think about avoiding for older persons –

Hydrocodone, Morphine, Oxycodone

25

Rate % Increase

Narcotic pain relievers 208.5 71%

Hydrocodone products 75.9 89%

Acetaminophen-hydrocodone 56.5 78%

Hydrocodone 18.8 134%

Morphine products 24.8 142%

SOURCE: Center for Behavioral Health Statistics and Quality, SAMHSA, Drug Abuse Warning Network, 2010.

Page 26: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Certain Cardiovascular Agents

26

Rate % IncreaseBeta-adrenergic Blocking Agents

metoprolol 53.7 108%

Non-cardioselective Beta Blockers

carvedilol 17.4 269%

Calcium Channel Blocking Agents

amlodipine 26.7 230%

Diuretics

furosemide 34.9 104%

Angiotensin Converting Enzyme Inhibitors

lisinopril 58.0 103%

SOURCE: Center for Behavioral Health Statistics and Quality, SAMHSA, Drug Abuse Warning Network, 2010.

Page 27: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Nutritional Products

27

Rate % Increase Iron products 11.9 373%

Minerals and electrolytes 20.7 515%

Vitamin and mineral combinations 14.2 421%

Vitamins 23.5 156%

SOURCE: Center for Behavioral Health Statistics and Quality, SAMHSA, Drug Abuse Warning Network, 2010.

Page 28: 2012 NCHS/SAMHSA Data User Conferences

RTI International

134 PIMs have fallen below level of detection. Kudos!

24 PIMS have stabilized with no change in 6 years May reflect “acceptable risk”

Summary - PIMS

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Page 29: 2012 NCHS/SAMHSA Data User Conferences

RTI International

9 PIMS have increasing involvement Targeted messaging to medical community about

reducing prescribing interactions dependence

Targeted messaging to consumer community about self-medication dependence misuse/abuse

Summary – Increasing PIMS (N=9)

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Page 30: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Messaging to medical community– Highlight alternative drugs that appear have

high risk for adverse outcomes– Highlight need to identify different

alternative treatments

Messaging to consumer community– Risks of nutritional products, OTCs– Awareness of dangers of self-

medication, need for compliance

Summary – Non-PIMS (N=5)

30

Page 31: 2012 NCHS/SAMHSA Data User Conferences

RTI International

Combine data across years to investigate differences by drug combinations reasons for ED visit

(overmedication, abuse) Seek out relationships

across therapeutic groups Add information on

prescribing levels

Further Research

31

Page 32: 2012 NCHS/SAMHSA Data User Conferences

RTI International

For further information

DAWN: www.samhsa.gov/data/DAWN.aspxSAMHSA: www.samhsa.gov RTI: www.rti.org

Presenting Author: Victoria A. AlbrightRTI International919 541 [email protected]

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