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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
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
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
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