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Maryland Jurisdiction Epidemiological Profiles Chartbook February 13, 2014 The Maryland Statewide Epidemiological Outcomes Workgroup Department of Pharmaceutical Health Services Research University of Maryland Baltimore School of Pharmacy Saratoga Building, 12 th Floor 220 Arch Street Baltimore, Maryland 21201 www.pharmacy.umaryland.edu/programs/seow

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Maryland Jurisdiction Epidemiological

Profiles Chartbook

February 13, 2014

The Maryland Statewide Epidemiological Outcomes Workgroup

Department of Pharmaceutical Health Services Research

University of Maryland Baltimore School of Pharmacy

Saratoga Building, 12th Floor

220 Arch Street

Baltimore, Maryland 21201

www.pharmacy.umaryland.edu/programs/seow

CONTRIBUTORS

This report was compiled by the following faculty, staff, and students of the Department of Pharmaceutical Health Services Research in the University of Maryland School of Pharmacy:

Linda Simoni-Wastila, BSPharm, PhD

Professor and Director, SEOW

410.706.4352

[email protected]

Corinne Woods, BSPharm, MPH

Research Pharmacist, Pharmaceutical Research Computing

SEOW Project Coordinator

Wendy Klein-Schwartz, PharmD

Associate Professor, Maryland Poison Center

Patience Moyo, BA, PhD Student

Graduate Research Assistant

Yu-Jung Jenny Wei, PhD

Post-Doctoral Fellow

Ting-Ying Jane Huang, BSPharm, PhD Candidate

Graduate Research Assistant

Jeanne Yang, MCP

Information Systems Engineer, Pharmaceutical Research Computing

Katherine Fornili, MPH, RN, CARN

Assistant Professor, UMB School of Nursing

ACKNOWLEDGMENTS

We thank Kathleen Rebbert-Franklin, Sue Jenkins, Larry Dawson, and Virgil Boysaw and the other staff at the Alcohol and Drug Abuse Administration (ADAA) in the Maryland Department of Health and Mental Hygiene for their support and guidance on this report.

Table of Contents

Data Sources & Considerations for Use ........................................................................................................ 1

JURISDICTION RANKINGS

Alcohol-Related Inpatient Hospitalizations .................................................................................................. 5

Alcohol-Related Emergency Department Visits ............................................................................................ 6

Opioid-Related Inpatient Hospitalizations .................................................................................................... 7

Opioid-Related Emergency Department Visits ............................................................................................. 8

Treatment Admissions .................................................................................................................................. 9

Alcohol ...................................................................................................................................................... 9

Marijuana ................................................................................................................................................ 10

Prescription Opioids ................................................................................................................................ 11

Benzodiazepines ..................................................................................................................................... 12

Heroin ..................................................................................................................................................... 13

Crack/Cocaine ......................................................................................................................................... 14

Co-Occurring Mental Illness .................................................................................................................... 15

Co-Occurring Mental Illness by County of Patient Residence ............................................................ 16

Co-Occurring Mental Illness by County Where the Treatment Facility is Located ............................. 17

Alcohol-Impaired Crashes ........................................................................................................................... 18

All Ages .................................................................................................................................................... 18

Aged 16-25 Years .................................................................................................................................... 19

Marijuana Use ............................................................................................................................................. 20

Past-Month Use ...................................................................................................................................... 20

Perceptions of Risk of Smoking Marijuana ............................................................................................. 21

Cocaine, Past-Year Use ............................................................................................................................... 22

Pain Reliever, Past-Year Non-Medical Use ................................................................................................. 23

Illicit Drug Use ............................................................................................................................................. 24

Past-Month Use of Illicit Drugs Other than Marijuana ........................................................................... 24

Past-Year Needing but Not Receiving Treatment ................................................................................... 25

Alcohol Use ................................................................................................................................................. 26

Past-Month Use ...................................................................................................................................... 26

Past-Month Binge Drinking ..................................................................................................................... 27

Past-Year Needing but Not Receiving Treatment vs Abuse or Dependence .......................................... 28

JURISDICTION FINDINGS (Jurisdiction listed in alphabetical order; Baltimore City the last.)

Alcohol-Related Inpatient Hospitalizations and Emergency Department Visits ........................................ 30

Opioid-Related Inpatient Hospitalizations and Emergency Department Visits .......................................... 54

Substance Use Treatment Admissions ........................................................................................................ 78

Motor Vehicle Crashes among Residents Aged 16-25 Years .................................................................... 103

Data Sources & Considerations for Use Data Organization: Rankings of jurisdictions on their standing on select indicators are presented first followed by jurisdictions sorted alphabetically (Baltimore City at the end) under specific data sources.

Health Services Cost Review Commission (HSCRC): In Maryland, the HSCRC an independent agency is charged with regulating hospital rates for all payers and is responsible for maintaining both the inpatient and outpatient facility data sets. The inpatient dataset contains discharge medical record abstracts and billing data on each of the state's approximately 800,000 yearly inpatient admissions. Hospitals submit data to the HSCRC on a quarterly basis and the agency generates research-ready datasets for public use. Access to the research level version of the inpatient or outpatient data requires the submission of an application to the HSCRC. Data is available through 2012. http://www.hscrc.state.md.us/

Important considerations regarding HSCRC data:

1. The county indicated in the charts refers to the location of the patient’s place of residence and may not be the jurisdiction in which the hospital providing service is situated.

2. The data are available at the event level rather than individual level. This means that one individual can contribute multiple observations in the data.

Maryland Automated Accident Reporting System (MAARS): The MAARS data is comprised of information extracted from motor vehicle accident reports submitted by over 200 Maryland law enforcement agencies. The purpose is to provide safety professionals, public officials, the private sector, and the general public information about traffic crashes throughout Maryland. It presents data extracted from motor vehicle crash reports submitted by more than 200 Maryland law enforcement agencies to the Enhanced Maryland Automated Accident Reporting System (MAARS). All crashes resulting in a vehicle being towed away, personal injury, or fatality are reported. Crash data are recorded by the state, county, or local law enforcement officer at the scene of the reportable crash. The Central Records Division of the Maryland State Police manages MAARS and provides copies of the reports to the public for a fee. The SHA maintains the electronic crash database, and is the primary contact for distribution of raw crash data. MHSO provides summary statistics based on reports generated from SHA’s database. MAARS data through 2011 was used for this report. Important considerations regarding MAARS data:

1

1. Impaired crashes are those with at least one driver reported to be under the influence of either 'alcohol' or both 'alcohol and drugs'.

2. Crashes with unknown/unspecified age or gender were excluded, as well as those involving ‘drugs only.’

National Survey on Drug Use and Health (NSDUH): The NSDUH provides national- and state-level data on mental health as well as the use of tobacco, alcohol and illicit drugs (including non-medical use of prescription drugs) in the United States. NSDUH is sponsored by the Substance Abuse and Mental Health Services Administration (SAMHSA), an agency of the U.S. Public Health Service within the U.S. Department of Health and Human Services. A random sample of households is selected across the United States, and a professional field interviewer makes a personal visit to each selected household. After answering a few general questions during the in-person visit by the interviewer, residents of the household may be asked to participate. Participants answer most of the interview questions in private by entering their responses directly into a computer. The survey is conducted annually, with state-level data available from 1999-2011, substate-level data available every 2 years from 1999-2010 and national data available 1999-2011. http://www.samhsa.gov/data/NSDUH.aspx

Important considerations regarding NSDUH data:

• With the exception of six Maryland jurisdictions (Anne Arundel County, Baltimore City, Baltimore County, Charles County, Montgomery County and Queen Anne’s County), NSUDH results are reported as aggregate data with several jurisdiction grouped into substate regions. The substate regions are as follows:

• North Central is comprised of Carroll County and Howard County; • North East is comprised Caroline County, Cecil County, Harford County, Kent

County, Queen Anne’s County and Talbot County; • South is comprised of Calvert County, Charles County, Dorchester County, St.

Mary’s County, Somerset County, Wicomico County and Worcester County; • West is comprised of Allegany County, Frederick County, Garrett County and

Washington County.

State of Maryland Automated Record Tracking (SMART): SMART data include treatment admissions from all substance use disorder treatment facilities that receive state alcohol and/or drug agency funds (including Federal Block Grant funds) for the provision of treatment for substance use disorders. SMART does not include data from private or for-profit treatment facilities, hospitals, the state correctional system (unless licensed through the state substance use disorders agency) or federal agencies (the Bureau of Prisons, the Department of Defense, and the Veterans Administration). Data elements in SMART include: reason for admission,

2

primary and secondary substances of use, sociodemographic information, the presence or absence of mental illness and treatment modality. Data are current through 2012. http://adaa.dhmh.maryland.gov/SitePages/SMART.aspx

Important considerations regarding SMART data:

1. The data are based on fiscal year and not calendar year. 2. The county indicated in the charts refers to the location of the patient’s place of

residence and may not be the jurisdiction in which the treatment facility is situated. 3. The data are available at the event level rather than individual level. This means that

one individual can contribute multiple observations in the data. 4. The charts show the estimated rate of admissions for a specific primary substance

problem per 1000 residents in each jurisdiction.

3

JURISDICTION RANKINGS

4

Alcohol-Related Inpatient Hospitalizations Data Source: Health Services Cost Review Commission (HSCRC)

90.9 64.3

59.8 58.9

55.9 54.8

52.7 52.3

48.6 48.3

47.1 46.7 46.6 46.3 45.9

44.9 44.6

44.0 42.1 42.0

41.0 40.7

36.9 35.9

33.8

Baltimore CityAllegany

CecilFrederick

KentMaryland

DorchesterWorcester

Baltimore CountyCalvert

HarfordQueen Anne's

TalbotAnne Arundel

Prince George'sWashington

CarrollWicomico

CharlesCaroline

MontgomerySt Mary'sSomerset

GarrettHoward

Rate of Alcohol-Related Hospitalizations in 2012 per 1000 Events

5

Alcohol-Related Emergency Department Visits Data Source: Health Services Cost Review Commission (HSCRC)

93.8 81.3

56.6 54.8

48.8 47.7

44.8 34.7

29.7 28.5

27.7 26.5

25.4 24.8

24.3 23.0

22.2 19.9

19.1 18.3

17.8 16.4 16.4

15.4

Baltimore CitySt Mary's

CharlesKent

Queen Anne'sCalvert

AlleganyTalbot

Anne ArundelFrederick

Baltimore CountyWorcester

DorchesterMaryland

WashingtonHowardCaroline

MontgomeryPrince George's

WicomicoCarroll

SomersetHarford

CecilGarrett

Rate of Alcohol-Related Emergency Department Visits in 2012 per 1000 Events

6

Opioid-Related Inpatient Hospitalizations Data Source: Health Services Cost Review Commission (HSCRC)

88.4 51.2

35.6 35.1 34.8

32.3 31.9

27.9 27.6

24.0 23.6 23.4

22.4 21.1

20.1 19.6 19.2 18.8

17.4 16.1

13.2 12.8 12.6

10.4 8.7

Baltimore CityCecil

MarylandFrederick

Baltimore CountyCarroll

AlleganyAnne Arundel

HarfordQueen Anne's

WashingtonCaroline

KentDorchester

WicomicoTalbot

SomersetCalvert

HowardSt Mary's

GarrettWorcester

CharlesMontgomery

Prince George's

Rate of Opioid-Related Hospitalizations in 2012 per 1000 Events

7

Opioid-Related Emergency Department Visits Data Source: Health Services Cost Review Commission (HSCRC)

31.3 23.8

21.3 19.0

16.5 15.9

14.5 13.9

8.9 8.6

8.5 8.1

7.4 7.1

6.9 6.8 6.6

5.7 3.5

1.9 1.5

1.2 0.0 0.0

WashingtonBaltimore City

FrederickCaroline

Baltimore CountyCalvert

CecilCarroll

WorcesterHarford

DorchesterSt Mary's

HowardSomerset

TalbotWicomicoMaryland

Anne ArundelQueen Anne's

CharlesMontgomery

Prince George'sAllegany

KentGarrett

Rate of Opioid-Related Emergency Department Visits in 2012 per 1000 Events

8

Treatment Admissions Data Source: State of Maryland Automated Records Tracking (SMART) Alcohol

7.11 6.96

6.82 6.81

5.92 5.59

5.23 4.47 4.44

4.36 4.36

4.04 4.00

3.62 3.17

3.02 2.71

2.22 2.14

1.85 1.69

1.42 1.31

0.87 0.71

DorchesterWorcester

CalvertGarrett

Queen Anne'sKent

CarolineTalbot

St Mary'sCecil

WicomicoSomerset

Baltimore CityAllegany

WashingtonCharles

Anne ArundelMaryland Overall

CarrollFrederick

HarfordHoward

Baltimore CountyMontgomery

Prince George's

Alcohol (Primary Substance) Treatment Admissions in FY2012 per 1000 Population

9

Marijuana

6.10 4.44

4.23 3.96

3.71 3.48

3.40 2.99

2.67 2.49

2.28 2.22

1.99 1.92

1.83 1.69

1.66 1.53

1.42 1.38

1.09 0.95

0.85 0.72

0.55

DorchesterWicomicoSomerset

Baltimore CityKent

CalvertWorcester

CarolineTalbot

Queen Anne'sAllegany

St Mary'sWashington

CharlesCecil

GarrettMaryland Overall

Anne ArundelBaltimore County

HarfordFrederick

Prince George'sHoward

CarrollMontgomery

Marijuana (Primary Substance) Treatment Admissions in FY2012 per 1000 Population

10

Prescription Opioids

4.32 4.23

2.72 2.62

2.57 2.53 2.53 2.52

2.49 2.40

2.05 1.64

1.37 1.21

1.12 1.03

0.98 0.95

0.85 0.65

0.54 0.49

0.22 0.22

0.07

CalvertCecil

CarolineKent

SomersetQueen Anne's

GarrettWicomicoWorcester

St Mary'sDorchester

AlleganyCharlesHarford

Anne ArundelBaltimore City

WashingtonTalbot

Maryland OverallFrederick

CarrollBaltimore County

HowardMontgomery

Prince George's

Opioids (Primary Substance) Treatment Admissions in FY2012 per 1000 Population

11

Benzodiazepines

0.256 0.245

0.188 0.180

0.158 0.133 0.132 0.132

0.120 0.097 0.096

0.084 0.081

0.076 0.076

0.069 0.068

0.060 0.060

0.058 0.056

0.047 0.024

0.007 0.000

Baltimore CityDorchester

Queen Anne'sCalvert

CecilGarrettTalbot

WicomicoAllegany

Anne ArundelCarroll

Maryland OverallWashington

St Mary'sSomerset

HarfordCharles

CarolineBaltimore County

WorcesterMontgomery

FrederickHoward

Prince George'sKent

Benzodiazepines (Primary Substance) Treatment Admissions in FY2012 per 1000 Population

12

Heroin

9.90 2.55

2.21 2.15

2.10 1.93

1.87 1.80

1.61 1.61

1.44 1.40

1.32 1.16

1.06 1.01 1.00

0.89 0.83 0.79

0.73 0.44 0.42

0.26 0.13

Baltimore CityQueen Anne's

DorchesterCaroline

CecilWicomicoWorcester

Maryland OverallTalbot

Anne ArundelCarrollCalvert

SomersetAllegany

GarrettBaltimore County

FrederickHarford

WashingtonKent

St Mary'sHowardCharles

MontgomeryPrince George's

Heroin (Primary Substance) Treatment Admissions in FY2012 per 1000 Population

13

Crack/Cocaine

3.04 2.77

2.08 1.74

1.49 1.36

1.16 1.11

1.03 0.84

0.82 0.72 0.72 0.71

0.69 0.57

0.54 0.52 0.51

0.42 0.29 0.29

0.26 0.23

0.18

DorchesterBaltimore City

KentSomersetWicomicoWorcester

CalvertQueen Anne's

TalbotSt Mary's

CecilMaryland Overall

WashingtonAllegany

FrederickCaroline

CarrollAnne Arundel

CharlesHarford

Baltimore CountyPrince George's

MontgomeryGarrett

Howard

Crack/Cocaine (Primary Substance) Treatment Admissions in FY2012 per 1000 Population

14

Co-Occurring Mental Illness

0 10 20 30 40 50 60 70

Allegany

Frederick

Montgomery

Carroll

Washington

Cecil

Howard

Calvert

Queen Anne's

Harford

MARYLAND

Wicomico

Somerset

Baltimore City

Talbot

Anne Arundel

Dorchester

Prince George's

Worcester

Garrett

Kent

Baltimore County

Caroline

St. Mary's

Charles

% of Cases with Co-Occurring Mental Illness

Substance Use Treatment Admissions & Co-Occurring Mental Illness FY2012

Patient Residence

Provider Jurisdiction

15

Co-Occurring Mental Illness by County of Patient Residence

57.5 56.3

54.5 53.3

50.9 49.4

47.8 47.7 47.6 47.5

44.3 44.1

43.7 43.3

42.8 42.7 42.6

40.7 40.5

39.6 39.5 39.4

38.4 36.0

32.9

AlleganyFrederick

MontgomeryCarroll

WashingtonCecil

HowardCalvert

Queen Anne'sHarford

MarylandWicomicoSomerset

Baltimore CityTalbot

Anne ArundelDorchester

Prince George'sWorcester

GarrettKent

Baltimore CountyCaroline

St. Mary'sCharles

Percent of Co-Occurring Mental Illness Among Cases of Patients Residing in Each Jurisdiction FY2012

16

Co-Occurring Mental Illness by County Where the Treatment Facility is Located

66.5 64.6

60.8 55.2 55.1

52.8 51.4

49.4 46.8

44.8 44.3 44.2

43.7 43.7

42.8 41.1

39.7 38.9

37.1 36.9

35.7 33.9

32.2 28.0

26.9

DorchesterCarroll

AlleganyKent

MontgomeryWorcester

WashingtonFrederick

HowardQueen Anne's

CecilMaryland

CalvertHarford

Baltimore CitySt. Mary's

Prince George'sAnne Arundel

WicomicoTalbot

GarrettSomerset

CharlesBaltimore County

Caroline

Percent of Co-Occurring Mental Illness Among Cases of Patients Treated in Each Jurisdiction FY2012

17

Alcohol-Impaired Crashes Data Source: Maryland Automated Accident Reporting System (MAARS) Impaired crashes are those with at least one driver reported to be under the influence of either 'alcohol' or both 'alcohol and drugs'. All Ages

9.91 9.73

9.39 8.95

8.20 7.56 7.55

7.30 6.68

6.50 6.02

5.80 5.52

5.36 5.12 5.12 5.12 5.09

4.74 4.62 4.58

4.41 4.08

3.88 2.62

SomersetKent

CarolineWorcester

DorchesterGarrett

Queen Anne'sCarroll

CecilAllegany

St. Mary'sFrederick

CharlesCalvert

HarfordAnne Arundel

WashingtonTalbot

Prince George'sHoward

MarylandBaltimoreWicomico

MontgomeryBaltimore City

Alcohol or Alcohol and Drug Impaired Crashes as a Percentage of All Motor Vehicle Crashes - All Ages (MAARS 2011)

18

Aged 16-25 Years

15.00 10.53 10.53 10.51

9.55 9.24 9.22

8.45 8.01

7.87 7.77

7.66 7.15

6.64 5.95

5.75 5.71 5.68

5.53 5.49

5.42 5.23

5.00 4.98

2.84

KentCarroll

CarolineWorcester

GarrettQueen Anne's

AlleganyDorchester

CecilFrederickSomerset

Saint Mary'sHoward

Anne ArundelHarford

MarylandTalbot

CharlesMontgomery

CalvertPrince George's

WashingtonWicomicoBaltimore

Baltimore City

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds (MAARS 2011)

19

Marijuana Use Data source: National Survey on Drug Use and Health (NSDUH) Past-Month Use

5.5

7.4

6.4

4.6

5.1

5.9

6.1

5.1

5.0

5.7

6.6

6.1

7.6

6.6

6.6

7.6

7.0

6.2

6.2

6.8

0 2 4 6 8 10

Anne Arundel

Baltimore City

Baltimore County

Montgomery

North Central

North East

Prince George's

South

West

Maryland

% Reporting Use

2008-2010 NSDUH: Marijuana Use in Past Month, by Age Group

12+

12-17

20

Perceptions of Risk of Smoking Marijuana

30.8

41.4

31.5

32.4

29.1

30.3

37.1

35.7

33.5

33.8

5.5

7.4

6.4

4.6

5.1

5.9

6.1

5.1

5.0

5.7

9.4

13.2

11.4

9.2

8.5

9.6

11.9

9.4

8.5

10.3

0 5 10 15 20 25 30 35 40 45

Anne Arundel

Baltimore City

BaltimoreCounty

Montgomery

North Central

North East

Prince George's

South

West

Maryland

% Reporting

Perceptions of Great Risk of Smoking Marijuana Once a Month vs Marijuna Use, Aged 12+ Years

Perceptions of Great Risk of SmokingMarijuana Once a Month 12+Marijuana Use in Past Month 12+

Marijuana Use in Past Year 12+

21

Cocaine, Past-Year Use Data source: National Survey on Drug Use and Health (NSDUH)

1.8

2.2

1.6

1.3

1.5

1.7

1.6

2.0

1.7

1.7

5.5

2.8

3.9

3.8

5.0

5.6

2.7

4.7

5.2

4.1

1 2 3 4 5 6 7

Anne Arundel

Baltimore City

BaltimoreCounty

Montgomery

North Central

North East

Prince George's

South

West

Maryland

% Reporting Use

2008-2010 NSDUH: Cocaine Use in Past Year, by Age Group

12+

18 to 25

22

Pain Reliever, Past-Year Non-Medical Use Data source: National Survey on Drug Use and Health (NSDUH)

4.1

4.0

4.4

3.3

4.1

4.7

3.5

4.5

4.4

4.0

6.2

5.2

5.9

4.2

5.3

7.0

4.6

6.5

6.1

5.4

11.3

8.2

10.8

9.5

12.0

12.1

7.9

10.5

11.6

10.0

0 2 4 6 8 10 12 14

Anne Arundel

Baltimore City

BaltimoreCounty

Montgomery

North Central

North East

PrinceGeorge's

South

West

Maryland

% Reporting Use

2008-2010 NSDUH: Nonmedical Use of Pain Relievers in Past Year, by Age Group

12+12 to 1718 to 25

23

Illicit Drug Use Data source: National Survey on Drug Use and Health (NSDUH) Past-Month Use of Illicit Drugs Other than Marijuana

2.8

3.1

3.5

2.7

3.1

3.3

2.7

3.4

3.3

3.1

4.0

3.9

4.5

4.1

3.9

4.2

3.7

4.2

4.2

4.1

7.2

5.6

6.8

6.3

7.1

7.8

5.2

6.8

7.6

6.5

0 1 2 3 4 5 6 7 8

Anne Arundel

Baltimore City

BaltimoreCounty

Montgomery

North Central

North East

Prince George's

South

West

Maryland

% Reporting Use

2008-2010 NSDUH: Illicit Drug Use Other Than Marijuana in Past Month, by Age Group

12+12 to 1718 to 25

24

Past-Year Needing but Not Receiving Treatment

2.5

3.2

2.5

2.1

2.1

2.3

2.6

2.6

2.3

2.5

2.9

3.3

2.9

2.5

2.5

2.6

3.0

2.8

2.7

2.8

0 1 2 3 4

Anne Arundel

Baltimore City

BaltimoreCounty

Montgomery

North Central

North East

Prince George's

South

West

Maryland

% Reporting

Needing But Not Receiving Treatment for Illicit Drug Use in Past Year vs Illicit Drug Dependence or Abuse, Aged 12+ Years

Needing But Not ReceivingTreatment for Illicit DrugUse in Past YearIllicit Drug Dependence orAbuse in Past Year

25

Alcohol Use Data source: National Survey on Drug Use and Health (NSDUH) Past-Month Use

59.2

42.5

53.2

55.7

60.7

55.3

49.6

50.7

53.9

53.0

29.3

24.6

27.9

22.5

27.1

26.5

23.9

26.6

28.6

25.9

0 10 20 30 40 50 60 70

Anne Arundel

Baltimore City

BaltimoreCounty

Montgomery

North Central

North East

PrinceGeorge's

South

West

Maryland

% Reporting Use

2008-2010 NSDUH: Past-Month Alcohol Use, by Age Group

12+

12 to 20

26

Past-Month Binge Drinking

23.4

20.9

20.6

20.4

21.4

20.6

19.0

21.4

21.7

20.9

19.7

13.8

17.5

15.2

17.9

16.8

14.3

16.9

17.9

16.3

0 5 10 15 20 25

Anne Arundel

BaltimoreCity

BaltimoreCounty

Montgomery

North Central

North East

PrinceGeorge's

South

West

Maryland

% Reporting Use

2008-2010 NSDUH: Past-Month Binge Drinking, by Age Group

12+

12 to 20

27

Past-Year Needing but Not Receiving Treatment vs Abuse or Dependence

6.5

6.3

6.0

5.3

5.9

6.1

6.1

6.2

6.1

6.0

6.8

6.9

6.4

5.6

6.2

6.6

6.3

6.7

6.5

6.4

0 1 2 3 4 5 6 7 8

Anne Arundel

Baltimore City

Baltimore County

Montgomery

North Central

North East

Prince George's

South

West

Maryland

% Reporting

Needing But Not Receiving Treatment for Alcohol Use in Past Year vs Past-Year Alcohol Dependence or Abuse, Aged 12+ Years

Need for alcohol treatment (butnot receiving)

Past-year alcoholabuse/dependence

28

JURISDICTION TRENDS

29

Alcohol-Related Inpatient Hospitalizations and Emergency Department Visits Data Source: Health Services Cost Review Commission (HSCRC)

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

5.4

0.8

6.2

0.8

5.9

0.8

6.5

0.7

6.4

4.5

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Allegany

30

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

4.1

1.2

4.1

1.2

4.1

1.4

4.8

1.4

4.6

3.0

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Anne Arundel

31

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

4.2

1.0

4.1

1.1

4.5

1.0

4.7

1.0

4.9

2.8

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Baltimore County

32

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

4.6

0.8

3.9

0.9

4.6

1.2

4.4

1.0

4.8 4.8

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Calvert

33

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

4.3

0.8

3.8

0.9

4.5

0.7

4.2

1.0

4.2

2.2

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Caroline

34

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

3.7

1.1

3.8

1.2

4.6

1.4

4.8

1.6

4.5

1.8

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Carroll

35

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

5.8

1.4

4.9

1.1

5.6

1.4

5.8

1.8

6.0

1.5

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Cecil

36

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

3.7

0.8

3.5

1.4

3.9

1.5

4.3

1.0

4.2

5.7

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Charles

37

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

4.4

0.8

4.9

1.1

5.1

1.3

5.0

1.1

5.3

2.5

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Dorchester

38

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

4.8

0.9

4.6

0.9

5.4

1.0

6.0

1.2

5.9

2.9

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Frederick

39

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

4.1

0.4

3.6

0.3

4.0

0.5

3.5

0.3

3.6

0.0 0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Garrett

40

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

4.2

1.2

4.2

1.2

4.5

1.4

4.3

1.4

4.7

1.6

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Harford

41

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

3.4

0.9

3.2

0.9

3.3

1.1

3.1

1.1

3.4

2.3

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Howard

42

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

3.4

0.8

3.8

0.6

4.2

0.7

4.4

0.9

5.6 5.5

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Kent

43

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

3.4

0.8

3.5

0.9

3.5

0.9

3.6

0.9

4.1

2.0

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Montgomery

44

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

4.3

0.6

4.3

0.6

4.9

0.8

4.6

0.8

4.6

1.9

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Prince George's

45

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

3.2

1.1

3.5

1.2

3.9

1.1

4.1

0.7

4.7 4.9

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Queen Anne's

46

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

3.7

0.8

3.6

1.0

4.7

1.3

4.0

1.5

4.1

8.1

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

9.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland St Mary's

47

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5 2.7

1.1

3.3

0.8

3.5

0.9

3.5

0.8

3.7

1.6

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Somerset

48

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

4.1

1.3

4.8

1.1

4.6

1.1

4.7

1.0

4.7

3.5

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Talbot

49

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

4.6

2.1

5.3

1.5

4.8

1.6

5.0

1.6

4.5

2.4

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Washington

50

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

3.1

1.2

3.9

1.2

3.7

1.5

3.8

1.5

4.4

1.8

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Wicomico

51

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

4.6

0.9

4.9

0.9

5.6

1.1

5.1

1.4

5.2

2.6

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Worcester

52

5.0

1.1

5.0

1.1

5.3

1.2

5.4

1.3

5.5

2.5

8.6

1.3

8.9

1.5

9.0

1.5

9.2

1.8

9.1 9.4

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

9.0

10.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Alcohol-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Baltimore City

53

Opioid-Related Inpatient Hospitalizations and Emergency Department Visits

Data Source: Health Services Cost Review Commission (HSCRC)

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

1.5

0.2

1.6

0.4

2.6

0.4

2.7

0.9

3.2

0.0 0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Allegany

54

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

2.3

0.6

2.5

0.8

2.7

0.8

2.8

0.5

2.8

0.6

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Anne Arundel

55

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

3.0

1.1

3.2

1.1

3.3

1.1

3.2

1.1

3.5

1.6

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Baltimore County

56

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7 0.9

0.5

1.1

0.7 0.9

0.7

1.7

0.9

1.9 1.6

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Calvert

57

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7 0.9

0.4

1.1

0.5

1.9

0.2

1.8

1.4

2.3

1.9

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Caroline

58

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

2.3

0.5

2.3

0.6

3.1

0.9

3.3

1.6

3.2

1.4

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Carroll

59

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

3.3

0.6

3.5

0.6

4.5

0.9

4.2

1.2

5.1

1.4

0.0

1.0

2.0

3.0

4.0

5.0

6.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Cecil

60

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7 0.6

0.2

0.8

0.3

0.9

0.4

1.2

0.3

1.3

0.2

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Charles

61

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

1.2

0.2

1.4

0.2

1.9

0.3

1.5

0.9

2.1

0.8

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Dorchester

62

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

2.0

0.4

2.2

0.5

2.9

1.0

2.8

1.4

3.5

2.1

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Frederick

63

Opioid-related emergency department data for Garrett County residents in 2012 were not reported due to small sample size resulting in an unstable estimate.

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7 0.7

0.1

1.0

0.1

1.3

0.2

1.1

0.0

1.3

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Garrett

64

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

2.0

0.8

2.2

0.6

2.5

0.7

2.7

0.8

2.8

0.9

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Harford

65

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Howard

66

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Kent

67

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Montgomery

68

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7 0.9

0.1

0.8

0.1

0.9

0.1

0.7

0.2

0.9

0.1

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Prince George's

69

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

1.4

0.6

1.7

0.8

1.9

1.0

2.0

1.1

2.4

0.3

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Queen Anne's

70

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

1.1

0.1

1.0

0.4

1.2

0.2

1.4

0.5

1.6

0.8

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland St Mary's

71

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

1.2

0.4

1.2

0.4

1.1

0.6

1.3

0.6

1.9

0.7

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Somerset

72

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7 0.9

0.3

1.2

0.4

1.0

0.1

1.4 1.1

2.0

0.7

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Talbot

73

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

1.0 1.1

1.6

0.1

1.7

0.3

1.8

0.7

2.4

3.1

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Washington

74

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7 0.9

0.3

1.2

0.3

0.9

0.4

1.4

0.6

2.0

0.7

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Wicomico

75

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7 0.7

0.2

1.0

0.2

1.0

0.4

1.0

0.7

1.3

0.9

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Worcester

76

3.2

0.5

3.3

0.5

3.4

0.5

3.4

0.6

3.6

0.7

9.3

1.3

9.3

1.2

9.0

1.0

9.0

1.9

8.8

2.4

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

9.0

10.0

Inpatient ED Inpatient ED Inpatient ED Inpatient ED Inpatient ED

2008 2009 2010 2011 2012

Rate of Opioid-related Inpatient Hospitalizations and ED Visits per 100 Events

Maryland Baltimore City

77

Substance Use Treatment Admissions Data Source: State of Maryland Automated Records Tracking (SMART)

0.00

0.50

1.00

1.50

2.00

2.50

3.00

FY2008 FY2009 FY2010 FY2011 FY2012

Maryland Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

78

0.00

1.00

2.00

3.00

4.00

5.00

6.00

FY2008 FY2009 FY2010 FY2011 FY2012

Allegany County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

79

0.00

0.50

1.00

1.50

2.00

2.50

3.00

FY2008 FY2009 FY2010 FY2011 FY2012

Anne Arundel County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

80

0.00

0.20

0.40

0.60

0.80

1.00

1.20

1.40

1.60

1.80

2.00

FY2008 FY2009 FY2010 FY2011 FY2012

Baltimore County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

81

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

FY2008 FY2009 FY2010 FY2011 FY2012

Calvert County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

82

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

FY2008 FY2009 FY2010 FY2011 FY2012

Caroline County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

83

0.00

0.50

1.00

1.50

2.00

2.50

3.00

FY2008 FY2009 FY2010 FY2011 FY2012

Carroll County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

84

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

4.50

5.00

FY2008 FY2009 FY2010 FY2011 FY2012

Cecil County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

85

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

4.50

5.00

FY2008 FY2009 FY2010 FY2011 FY2012

Charles County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

86

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

9.00

FY2008 FY2009 FY2010 FY2011 FY2012

Dorchester County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

87

0.00

0.50

1.00

1.50

2.00

2.50

FY2008 FY2009 FY2010 FY2011 FY2012

Frederick County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

88

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

9.00

FY2008 FY2009 FY2010 FY2011 FY2012

Garrett County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

89

0.00

0.20

0.40

0.60

0.80

1.00

1.20

1.40

1.60

1.80

FY2008 FY2009 FY2010 FY2011 FY2012

Harford County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

90

0.00

0.20

0.40

0.60

0.80

1.00

1.20

1.40

1.60

FY2008 FY2009 FY2010 FY2011 FY2012

Howard County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

91

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

9.00

10.00

FY2008 FY2009 FY2010 FY2011 FY2012

Kent County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

92

0.00

0.20

0.40

0.60

0.80

1.00

1.20

1.40

FY2008 FY2009 FY2010 FY2011 FY2012

Montgomery County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

93

0.00

0.20

0.40

0.60

0.80

1.00

1.20

FY2008 FY2009 FY2010 FY2011 FY2012

Prince George's County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

94

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

FY2008 FY2009 FY2010 FY2011 FY2012

Queen Anne's County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

95

0.00

1.00

2.00

3.00

4.00

5.00

6.00

FY2008 FY2009 FY2010 FY2011 FY2012

St Mary's County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

96

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

FY2008 FY2009 FY2010 FY2011 FY2012

Somerset County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

97

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

FY2008 FY2009 FY2010 FY2011 FY2012

Talbot County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

98

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

FY2008 FY2009 FY2010 FY2011 FY2012

Washington County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

99

0.00

1.00

2.00

3.00

4.00

5.00

6.00

FY2008 FY2009 FY2010 FY2011 FY2012

Wicomico County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

100

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

9.00

10.00

FY2008 FY2009 FY2010 FY2011 FY2012

Worcester County Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

101

0.00

2.00

4.00

6.00

8.00

10.00

12.00

FY2008 FY2009 FY2010 FY2011 FY2012

Baltimore City Primary Substance Treatment Admissions Trends per 1000 Population

Alcohol

Rx Opioids

Heroin

Benzodiazepines

Marijuana

Cocaine/crack

102

Motor Vehicle Crashes among Residents Aged 16-25 Years

Data source: Maryland Automated Accident Reporting System (MAARS)

5.9 5.6 5.5

5.4 5.7

5.9 5.8

7.6

4.8

9.2

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

9.0

10.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Allegany

103

5.9 5.6

5.5 5.4

5.7

6.4 6.0 5.9 6.1 6.6

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Anne Arundel

104

5.9 5.6 5.5 5.4

5.7

4.8 5.0 4.7 4.8

5.0

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Baltimore County

105

5.9 5.6 5.5 5.4

5.7

7.6

8.5

7.4

6.2

5.5

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

9.0

2007 2008 2009 2010 2011

Alcohol or Drug & Alcohol-Impaired Crashes as a Percentage of Total Crashes among 16-25 year olds

Maryland Calvert

106

5.9 5.6 5.5 5.4 5.7

16.2

12.9

17.1

8.9 10.5

0.0

2.0

4.0

6.0

8.0

10.0

12.0

14.0

16.0

18.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Caroline

107

5.9 5.6 5.5 5.4 5.7

8.7

7.8 7.2

8.5

10.5

0.0

2.0

4.0

6.0

8.0

10.0

12.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Carroll

108

5.9 5.6 5.5 5.4 5.7

8.5 8.2

6.8

8.8

8.0

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

9.0

10.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Cecil

109

5.9

5.6

5.5 5.4 5.7

5.2

6.1

4.9 4.4

5.7

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Charles

110

5.9 5.6 5.5 5.4 5.7

9.5 9.3 10.0

8.6 8.5

0.0

2.0

4.0

6.0

8.0

10.0

12.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Dorchester

111

5.9

5.6 5.5

5.4 5.7

7.1 6.9 6.2

8.0 7.9

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

9.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Frederick

112

5.9

5.6 5.5 5.4 5.7

9.2

10.8

7.0 7.6

9.5

0.0

2.0

4.0

6.0

8.0

10.0

12.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Garrett

113

5.9 5.6

5.5 5.4

5.7

7.2 7.4

5.2 5.0

6.0

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Harford

114

5.9 5.6 5.5 5.4

5.7

6.3

7.4 7.7 7.6

7.2

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

9.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Howard

115

5.9 5.6 5.5 5.4 5.7

14.6 14.1

6.3

17.8

15.0

0.0

2.0

4.0

6.0

8.0

10.0

12.0

14.0

16.0

18.0

20.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Kent

116

5.9 5.6 5.5 5.4

5.7 6.6

5.5

6.4

5.7

5.5

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Montgomery

117

5.9 5.6

5.5 5.4 5.7

5.3 4.7

5.1 4.6

5.4

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Prince George's

118

5.9 5.6 5.5 5.4

5.7

11.8

10.3

6.6

8.6 9.2

0.0

2.0

4.0

6.0

8.0

10.0

12.0

14.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Queen Anne's

119

5.9 5.6

5.5

5.4

5.7

7.0 6.5

4.7

6.7

7.7

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

9.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland St Mary's

120

5.9 5.6 5.5 5.4

5.7

8.6

6.8

5.9

8.3 7.8

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

9.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Somerset

121

5.9 5.6 5.5 5.4

5.7

11.6

8.2 6.9

9.8

5.7

0.0

2.0

4.0

6.0

8.0

10.0

12.0

14.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Talbot

122

5.9 5.6 5.5

5.4 5.7

7.0 7.1

5.7

4.2

5.2

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Washington

123

5.9 5.6 5.5 5.4

5.7

7.0 6.5 6.3

7.7

5.0

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

9.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Wicomico

124

5.9 5.6 5.5 5.4 5.7

10.3

7.7

9.8 10.5 10.5

0.0

2.0

4.0

6.0

8.0

10.0

12.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Worcester

125

5.9

5.6 5.5 5.4 5.7

2.3 2.2 2.5

2.2

2.8

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

2007 2008 2009 2010 2011

Alcohol or Alcohol and Drug Impaired Crashes as Percentage of Total Crashes among 16-25 year olds

Maryland Baltimore City

126