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The Center for Marketing and Opinion Research 2019 Stark County - - PowerPoint PPT Presentation

The Center for Marketing and Opinion Research 2019 Stark County Community Health Needs Assessment The Center for Marketing & Opinion Research, LLC. w w w .cm oresearch.com Research Plan and Methodology The Center for Marketing &


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The Center for Marketing and Opinion Research

2019 Stark County Community Health Needs Assessment

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Research Plan and Methodology

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Project Components

1.

Telephone survey of Stark County residents

2.

Reviewing and analyzing secondary data sources to identify priority areas of concern when analyzed alongside survey data.

3.

Web survey of community leaders who were knowledgeable about public health.

4.

Focus Group of Community Residents

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Community Telephone Survey

  • Telephone interviews were utilized in order to

ensure representativeness of the population.

  • 800 surveys were conducted. Resulted in

precision level of +/-3.5% within a 95% confidence interval for the county.

  • The sample was drawn at random from all

working residential telephones in county. CELL PHONES WERE INCLUDED.

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Community Survey Subject Areas

 Community Needs/

Social Determinants

 Access to Care  Oral Health  Smoking/Tobacco Use  Mental Health  Prescription Drug

Use/Substance Abuse

 Maternal, Infant and

Child Health

 Exercise, Obesity,

Healthy Living

 Immunizations  Chronic Diseases  Transportation

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Community Survey Participants

10% 30% 38% 22%

18-24 25-44 45-64 65 and

  • ver

Age of Respondent

2% 3% 8% 11% 11% 24% 41%

Student Other Homemaker Unemployed Part-time Retired Full-time

Employment Status

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Community Survey Participants

27% 29% 19% 11% 14% Under $25,000 $25 - 49,999 $50 - 74,999 $75 - 99,999 $100,000

  • r more

Annual Income

2% 4% 27% 39% 20% 9%

Grade school Some high school High school grad Some college College grad Post grad

Educational Attainment

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Community Survey Participants

31% 63% 7%

Own or Rent

Rent Own Other

48% 52%

Location

Canton/Alliance/Mass. Suburbia

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Oversampling

 An oversample of African-American residents

were conducted in addition to the 800 interviews in order to attain enough cases of each population to be able to draw conclusions that were statistically valid.

 200 interviews were conducted with African

Americans (+/-6.9% within a 95% confidence interval)

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Secondary Data

Gathered health and demographic data Compiled the information by category

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Sources of Secondary Data

28 Different Sources, Including:

 2018 Northeast Ohio Youth

Health Survey

 Behavioral Risk Factor

Surveillance System (BRFSS)

 U.S. Bureau of Labor

Statistics

 Ohio Department of

Education

 Ohio Department of Health  County Health Rankings  Stark County Health

Department

 Stark MHAR  U.S. Census Bureau -

American Community Survey

 Ohio Department of Alcohol

and Drug Addiction Services

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Community Leader Web Survey

 Email invitations were sent to a list of 472

community leaders. 2 reminders were sent to those who hadn’t completed the survey.

 101 surveys were completed, a completion

rate of 21.4%.

 The design of the survey was optimized for

respondents completing via computer as well as on a mobile device

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Community Leader Web Survey Subject Areas

 Community Needs/

Social Determinants

 Access to Care  Mental Health  Substance Abuse  Maternal, Infant and

Child Health

 Healthy Living  Vaccinations and

Prevention Services

 Chronic Diseases

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Participant Demographics

13% 7% 80%

Population Served

Adults Children Both

1% 2% 5% 16% 20% 25% 31%

Faith-based Business/Private Other Health care Education Government Nonprofit

0% 10% 20% 30% 40%

Business Sector

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Focus Areas Addressed by Participants

54% 47% 43% 41% 38% 37% 33% Access to Health Care Infant Mortality Mental Health/Suicide Healthy Lifestyle Heroin/ Opiate Use Chronic Disease Immunizations

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Community Resident Focus Group

 Was conducted to collect additional

qualitative data to be incorporated into the CHNA.

 6 Participants- were a diverse mix of

adult residents of Stark County.

 Moderated by CMOR and conducted at

the Stark County Health Department.

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Participant Demographics

68% 33%

Gender

Male Female

Participants were from:

Canton

Louisville

Massillon

Minerva

Perry Township

Uniontown

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Participant Demographics

31% 63% 7%

Race

Rent Own Other

50% 17% 33%

Employment Status

Full-time Part-time Retired

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Priority Health Areas

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Priority Health Areas

1.

ACCESS TO HEALTH CARE

2.

HEROIN/OPIATE USE

3.

INFANT MORTALITY

4.

MENTAL HEALTH SERVICES/SUICIDE

5.

OBESITY/HEALTHY LIFESTYLES

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Most Important Health Issue

 Community Survey: What do you think is the MOST important

health related issue or challenge facing your community?

Most Important Issue # % Legal/Illegal drug abuse 344 49.8% Healthcare costs 180 26.0% Mental health 135 19.5% Cancer 118 17.1% Obesity 110 15.9% (n=691)

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Ranking of Community Needs

Source: CL Web Survey

Importance of Health Issues High (8-10) Medium (4-7) Low (1-3) Average Import. Top 3 Issues Overall Rank Mental health/suicide 95.0% 5.0% 0.0% 9.50 85.1% 1 Heroin/Opiate use 89.1% 10.9% 0.0% 9.06 63.4% 2 Access to health care 93.1% 6.9% 0.0% 9.31 53.5% 3 Infant mortality 88.1% 9.9% 2.0% 8.92 37.6% 4 Obesity/Healthy lifestyle 75.2% 24.8% 0.0% 8.50 34.7% 5 Chronic disease mgt 73.3% 25.7% 1.0% 8.25 17.8% 6 Cancer 70.3% 27.7% 2.0% 8.24 5.0% 7 Immunizations 81.3% 25.7% 3.0% 8.16 3.0% 8

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Access to Health Care

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Access to Health Care

3% 6% 7% 8% 76% 4% 8% 6% 7% 75% 8% 8% 7% 6% 71%

Hospital Clinic ER Other Urgent Care Primary care doctor

Where receive healthcare

2011 2015 2018 Population % not doctor All respondents 24.1% Unemployed 35.3% Employed part-time 27.0% High school or less 28.4% Not married 29.9% Ages 18-24, 25-44 33.8%, 32.6% Non-white 32.7% Under $25K, $25-50K 31.4%, 27.1% Renters 32.4% Urban residents 27.8%

Source: Community Survey

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Access to Health Care

Population % No Doctor

All respondents 13.9% Employed part-time 16.9% Unemployed 27.4% High school or less 18.7% Renters 22.6% Urban residents 16.9% Ages 18-24, 25-44 22.1%, 21.9% Not married 173% Income under $25k 19.1%

Source: Community Survey 84% 86% 16% 14% 2015 2018

Has Primary Care Provider

Yes No

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Access to Health Care

Population % No Insurance

All respondents 8.1% Employed part-time 13.8% Unemployed 16.9% High school or less 11.6% Renters 15.0% Urban residents 11.8% Ages 18-24, 25-44 18.2% Not married 12.7% Income under $25k 10.0% Income $25-$50K 12.5%

Source: Community Survey 13% 5% 8% 46% 39% 41% 14% 12% 10% 26% 43% 41%

2011 2015 2018

Health Insurance Coverage

Not Insured Employer Paid Private Insurance Medicare/Medicaid

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Access to Health Care

 Community Leader: What are some problems,

barriers, or gaps in services that prevent residents from receiving medical care they need?

Barriers # % Transportation 84 90.3% Insurance / Ability to pay 59 63.4% Communication 43 46.2% Knowledge of available services 34 36.6% Behavioral health 27 29.0%

  • (n=93)
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Access to Care Issues

44% 44% 46% 52% 64% 40% 40% 43% 29% 31% 11% 13% 9% 13% 4% 4% 3% 2% 6% 1%

Residents not able to access PCP when needed Residents not able to access specialists when needed Lack of laws/policies/changes that support access to care Lack of mental and behavioral health providers Lack of transportation for medical appointments

Significant issue Moderate issue Slight issue Not an issue

Source: CL Web Survey

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Access to Health Care

Yes 84% No 16%

Youth: Always Been Able to Get Needed Medical/Psych Care Top Reasons for No Access:

  • 1. Didn't want parents to know
  • 2. Thought problem would go away
  • 3. Didn't know who to see
  • 4. Afraid of what doc would say

Source: : 2018 Northeast Ohio Youth Health Survey

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Heroin/Opiate Use

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Heroin/Opiate Use

Population % Know Someone

All respondents 19.8% Renters 24.0% Ages 25-44 29.3% Not married 24.1% Under $25k 23.6% Over $100k 24.3%

Source: Community Survey

20% 80% 15% 85%

Yes No

Know Someone who has Taken OxyContin or Prescription to Get High

2018 2015

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Heroin/Opiate Use

Population % Very Serious All respondents 76.0% Retired 78.8% College Grads 79.1% Home owners 78.8% 65+ 81.3%

Source: Community Survey 76% 18% 6% 74% 19% 8%

Very serious Moderately serious Not serious

Seriousness of Heroin Use in Stark County

2018 2015

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Heroin/Opiate Use

Population % Know Someone All respondents 14.9% Employed part-time 19.5% Some College 19.4% 18-24, 25-44 21.8%, 21.6% Not married 17.5% Children in home 18.8%

Source: Community Survey 15% 85%

Know Someone Treated for Overdose with Narcan

Yes No

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Substance Abuse Issues

Source: CL Web Survey 56% 57% 57% 61% 78% 36% 31% 38% 32% 21% 8% 9% 4% 6% 1%

3% 1%

Prescription drug misuse Marijuana Other illegal drugs Stigma associated with addiction Heroin Significant issue Moderate issue Slight issue Not an issue

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Heroin/Opiate Use

 Community Leader: What are some problems, barriers, or

gaps in services that prevent residents from receiving the substance abuse treatment they need?

Barriers # % Lack of providers/services 49 69.0% Insurance / Ability to pay 25 35.2% Stigma 21 29.6% Transportation 17 23.9% Denial 13 18.3%

  • (n=71)
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Heroin/Opiate Use

Source: ODH

20 40 60 80 100 120

2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

Number of Unintentional Drug Overdose Deaths, Stark

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Infant Mortality

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Infant Mortality

38% 63%

Heard of ABC's Safe Sleep Guidelines

Yes No

20% 34% 46%

Very serious Moderately serious Not a problem

Seriousness of Infant Mortality in Stark County

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Infant Mortality

1% 54% 35% 11% 2% 72% 21% 5% None First Trimester Second Trimester Third Trimester

Trimester of Entry into Prenatal Care

Stark County Ohio

Source: ODH

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Infant Mortality

Source: ODH

2 4 6 8 10 12

2006 2008 2010 2012 2014 2016

Stark County Infant Mortality Rate

Stark County Ohio

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Infant Mortality

Source: ODH

5 10 15 20 25 30 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015

Stark County Infant Mortality Rate by Race

White Black

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Mental Health

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Mental Health

51% 64% 65% 0% 20% 40% 60% 80% Homeless/transient Individuals living in poverty People with mental illness

Populations Not Adequately Served by Local Health Services

Source: CL Web Survey

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Mental Health Issues

Source: CL Web Survey 57% 64% 66% 69% 70% 36% 30% 25% 25% 26% 4% 4% 7% 4% 4%

3% 2% 2% 2%

Lack of public education Lack of integrated treatment and early intervention A limited mental health workforce Amount of time it takes residents to get help Stigma associated with mental health Significant issue Moderate issue Slight issue Not an issue

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Mental Health

 CL Web Survey: What are some problems, barriers

  • r gaps in services that prevent residents from

receiving needed mental health services?

Barriers # % Stigma 43 53.1% Lack of providers/facilities 40 49.4% Insurance / Ability to pay 35 43.2% Transportation 23 28.4% Not aware how to access treatment 21 25.9% (n=81)

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Mental Health

Population % 6+ days All respondents 23.7% Unemployed 43.4% Employed part-time 31.5% High school or less 30.5% Not married 35.0% Ages 18-24, 25-44 49.4%, 30.1% With kids 33.2% Under $25K, $25-50K 40.8%, 29.5% Renters 39.5% Urban residents 32.1% Females 33.4%

Source: Community Survey 49% 23% 8% 4% 5% 3% 8% None 1-5 days 6-10 days 11-15 days 16-20 days 21-25 days 25+ days

Number of Days Mental Health Not Good

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Mental Health

Population % had to wait All respondents 12.5% Unemployed 21.2% Some College 17.2% Not married 15.7% Ages 18-24, 25-44 18.2%, 16.5% Under $25K 18.6% Renters 19.0% Urban residents 15.4%

Source: Community Survey 13% 88%

Had to Wait to See Counselor or Psychiatrist

Yes No

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Mental Health

Source: 2018 Northeast Ohio Youth Health Survey 2% 4% 15% 9% 10% 25% 1% 8% 9% 19% 25% 34%

Autism Other mental health issue ADD/ADHD Depression Anxiety Any mental health issue

YOUTH: History of Mental Health Issues

Females Males

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Mental Health

Adults Children Disorder # of cases Disorder # of cases Depressive Disorders 3,618 Adjustment disorders 2,094 Bipolar Disorders 2,632 Conduct disorders 1,281 Anxiety Disorders 2,265 Attention-Deficit/Disruptive 1,144 Alcohol use disorders 1,586 Anxiety disorders 1,050 Opiate Use Disorders 1,577 Depressive disorders 888

Source: Stark County MHAR

Top 5 Diagnostic Groups for Stark MHAR in 2016

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Mental Health

Source: Stark County MHAR

2,000 4,000 6,000 8,000 10,000 12,000 14,000 16,000 SFY 2012 SFY 2013 SFY 2014 SFY 2015 SFY 2016

Number of Stark County Behavioral Health Clients

Adults Children

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Mental Health

Source: ODH

5 10 15 20 25 2012 2013 2014 2015 2016 2017*

Suicide Death Rate

Stark County Ohio

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Obesity and Healthy Lifestyle Choices

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Obesity & Healthy Lifestyle Choices

83% 17% 79% 21%

Yes No

Exercised in Past Month

2015 2018 Population % No Exercise

All respondents 21.3% Retired 24.5% Unemployed 24.7% High school or less 29.5% Age 65 and over 30.2% Under $25k 31.2% Urban residents 27.4% Females 24.4%

Source: Community Survey

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Obesity & Healthy Lifestyle Choices

44% 51% 5%

47% 47% 7% 53% 40% 7% Overweight About Right Underweight 0% 20% 40% 60%

Self Described Weight

2018 2015 2011

Population % Overweight

All respondents 53.4% Married 57.0% Females 58.9% Ages 45-64 62.5% College grads 56.7%

Source: Community Survey

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Obesity & Healthy Lifestyle Choices

77% 17% 6%

74% 21% 5% 69% 24% 7%

Excellent/Good Fair Poor/Very poor

0% 50% 100%

Personal Health Rating

2018 2015 2011 Population % Poor

All respondents 7.1% Unemployed 22.4% Non-white 13.4% Under $25k 16.6% Urban residents 11.6% High school grad or less 11.0% Renters 10.7%

Source: Community Survey

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Obesity & Healthy Lifestyle Choices

74% 37% 33% 24% 13% 6% Cost Distance from store Quality of food Time for shopping Safety Other 0% 10% 20% 30% 40% 50% 60% 70% 80%

Problems in Getting Needed Food

Source: Community Survey

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Obesity & Healthy Lifestyle Choices

20% 8% 72%

22% 8% 70% 17% 9% 75%

Everyday Some days Not at all

Tobacco Use

2018 2015 2011 Population % Use All respondents 25.4% Urban residents 30.1% High School grad or less 34.8% Unemployed 47.1% Renters 38.3% Have kids 31.3% Ages 25-44 33.1% Not married 33.5% Income less than $25,000 37.1% Source: Community Survey

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Obesity & Healthy Lifestyle Choices

 CL Web Survey: What do you consider to be the

major risk factors and behaviors that contribute to poor health status in Stark County?

Major Risk Factors # % Food insecurity 52 57.1% Low or no finances 50 54.9% Use of drugs, alcohol, tobacco 42 46.2% Health illiteracy 37 40.7% No healthcare component 24 26.4% (n=91)

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Obesity & Healthy Lifestyle Choices

 CL Web Survey: What are some problems, barriers

  • r gaps in services that prevent residents from

making healthy lifestyle choices?

Barriers # % Cost 54 66.7% Distance to grocery stores 44 54.3% Health illiteracy 43 53.1% Self-motivation is lacking 22 27.2% Unsupportive culture 15 18.5% (n=81)

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Obesity & Healthy Lifestyle Choices

46% 50% 52% 54% 57% 41% 40% 38% 40% 30% 12% 10% 9% 6% 13%

1% 1%

Secondhand smoke exposure Lack of incentives/support for adults to exercise Daily or regular tobacco use Lack of skills to cook and prepare healthy meals Lack of access to fresh fruits and vegtables Significant issue Moderate issue Slight issue Not an issue

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For more information:

Am anda Barna abarna@cm oresearch.com w w w .CMOResearch.com 3 3 0 -5 6 4 -4 2 1 1