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Page 1: Please MUTE your lines, but DO NOT put your phone on hold ...web.mhanet.com/SQI/HealthEquity/DisparitiesWebinar2Data.pdf · Hospitalization or ED Visit. 20. Total Population 18+ Black

Welcome and thank you for joining us. The presentation will begin shortly.

Dial-In Number: 888/822-3280Participant Code: 604620

Please MUTE your lines, but DO NOT put your phone on hold. While on hold, other participants will be able to hear your background music/message.

Slides are available in the “Handouts” pod in GoToWebinar and will be posted on MHA’s website with the recording of this presentation.

1

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Health Equity Series: Disparity in DiabetesWebinar Two of Four in a SeriesMay 2016

2

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Diabetes Focus and Opportunities to Promote

Health Equity

Leslie Porth

3

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MHA Support Data Analysis

– Race, ethnicity and language accuracy

– Disparities in diabetes

Webinar Series– The Case for Health

Equity– Disparity in Diabetes– Improving Health

Equity Through REaL Data Collection and Analysis

– Strategies for Cultural Competence

National campaign goals to increase:

The collection and use of race, ethnicity and language preference data

Cultural competency training

Diversity in governance and leadership

4

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5

/32%

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Hospital Action Steps Sign up:

http://www.equityofcare.org/pledge/index.shtml Participate in MHA webinars Focus on diabetes Participate in MHA quality initiatives Facilitate internal education and process

improvement to increase accuracy of data collection

6

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7

Alison Williams, MBA-HCM, BSN, R.N., CPHQVice President of Clinical Quality Improvement

[email protected]/893-3700, ext. 1326

Mat Reidhead, M.A.Vice President of Research and Analytics

[email protected]/893-3700, ext. 1331

Today’s Speakers

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Program Welcome and Overview

Focused study of diabetes Population and county-based data Hospital and emergency department visits and

utilization data Known disparities Diabetes management Best practices and recommendations Addressing disparities

8

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Broad Scope

Health disparities and inequalities exist when notable differences in health factors and/or

health outcomes are observed between different populations.

9

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10

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U.S. Regional Prevalence Disparity

11

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National Center for Chronic Disease Prevention and Health PromotionDivision of Diabetes Translation

State-by-State: Diagnosed Diabetes, Age-Adjusted Percentage, Adults-Total

Disclaimer: This is a user-generated report. The findings and conclusions are those of the user and do not necessarily represent the views of the CDC.www.cdc.gov/diabetesSource:

Year: 1994

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National Center for Chronic Disease Prevention and Health PromotionDivision of Diabetes Translation

State-by-State Rate: Diagnosed Diabetes, Age-Adjusted Percentage, Adults-Total

Disclaimer: This is a user-generated report. The findings and conclusions are those of the user and do not necessarily represent the views of the CDC.www.cdc.gov/diabetesSource:

Year: 2014

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Disparities in Hospital-Based Diabetes Diagnoses in Missouri

Mat Reidhead

14

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Racial Distribution of the Population and Hospital Utilization in Missouri

15

83.5%

11.8%

2.1%

1.9%

0.5%0.1%

2014 Missouri Population by Race (6,063,589 Total)

WhiteBlack or African AmericanTwo or MoreAsianAmerican Indian/ Alaska NativeNative Hawaiian/ Pacific Islander

Source: U.S. Census Bureau, Missouri QuickFacts

74.4%83.5% 79.4%

5.1%

4.7%5.6%

20.5%11.8% 15.0%

Treat & Release ED Population Inpatient

Distribution of All Missouri Hospital Visits in FY2015 Compared to the Total

Population by Race

White Other Black

(2,796,071 Visits) (6,063,589) (793,387 Visits)

Sources: Hospital Industry Data Institute, 2015 Hospital Inpatient and Outpatient (ED) Discharge Databases. U.S. Census Bureau, Missouri QuickFacts.

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Ten-Year Trend in Hospital-Based Diabetes Diagnoses in Missouri by Race

16

0

20

40

60

80

100

120

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015*

Missouri Hospital Inpatient and ED Visits for Diabetes: Rate per 1,000 by Race

White

Black

Other

Total

Sources: Hospital Industry Data Institute, 2006-2015 Hospital Inpatient and Outpatient (ED) Discharge Databases. U.S. Census Bureau, 2006-2014 Intercensal Population Estimates Program. *Population estimates for 2015 estimated with linear projection.

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Frequency of Hospital-Based Diabetes Diagnoses in Missouri by Age, Race & Gender

17

0%

10%

20%

30%

40%

50%

60%

FY2015 Missouri Percent of Inpatient Hospitalizations with a Diabetes Diagnosis by Age, Race and Gender

Black Female Black Male White Female White Male

Source: Hospital Industry Data Institute, 2015 Hospital Inpatient Discharge Databases.

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Risk of Being Diagnosed with Diabetes in a Hospital Setting Prior to Age 65

Frequency by Race Model Results

Black White

TotalOdds Ratio P-ValueMale Female Male Female

Unique Patients 18-64 77,280 107,124 321,034 394,572 928,138 - -

Diagnosed Diabetes 12.5% 12.4% 11.5% 10.0% 11.0% - -

Model Covariates

Average Age 38.3 37.4 41.2 40.3 40.0 1.07 <.0001

Black Male 100.0% 0.0% 0.0% 0.0% 8.3% 1.36 <.0001

Black Female 0.0% 100.0% 0.0% 0.0% 11.5% 1.25 <.0001

Diagnosed Obesity 6.9% 10.6% 6.5% 8.2% 7.7% 5.01 <.0001

Diagnosed Smoker 49.3% 34.8% 43.6% 37.6% 39.9% 1.33 <.0001

Diagnosed Alcohol Abuse 8.9% 3.1% 7.8% 3.7% 5.5% 0.99 0.3719

Medicaid Status 21.1% 36.9% 14.5% 24.8% 22.0% 1.98 <.0001

R2 = 0.231 C = 0.798

18Sources: Hospital Industry Data Institute Analysis of 2015 Hospital Inpatient and Outpatient (ED) Discharge Databases.

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Percent of the Missouri Population Diagnosed with Diabetes During a Hospitalization or ED Visit During FY2015 by Age, Race and Gender

Sources: Hospital Industry Data Institute, 2015 Hospital Inpatient and Outpatient (ED) Discharge Databases. 2015 Nielsen-Claritas PopFacts Premier.

19

1.6%

7.9%

16.6

%

6.8%

0.7%

3.5%

9.3%

4.0%

0.4%

2.4%

8.4%

2.0%

18-34 35-64 65+ All Ages 18+

Total

Black White Other

1.9%

8.3%

17.2

%

7.5%

0.8%

3.5%

8.7%

4.0%

0.4% 2.

4%

8.6%

2.1%

18-34 35-64 65+ All Ages 18+

Female

Black White Other

1.3%

7.5%

15.6

%

6.0%

0.5%

3.5%

10.0

%

3.9%

0.3%

2.4%

8.2%

1.9%

18-34 35-64 65+ All Ages 18+

Male

Black White Other

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Percent of the Adult Population Diagnosed with Diabetes in 2015 During an Inpatient Hospitalization or ED Visit

20

Total Population 18+ Black Population 18+

Sources: Hospital Industry Data Institute, 2015 Hospital Inpatient and Outpatient (ED) Discharge Databases. 2015 Nielsen-Claritas PopFacts Premier. Data for counties with fewer than 100 black adult population withheld.

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2015 Diabetes Hospital Utilization Rates and Population Density by Race for Metro-Area Census Tracts

21Sources: Hospital Industry Data Institute, 2015 Hospital Inpatient and Outpatient (ED) Discharge Databases. 2015 Nielsen-Claritas PopFacts Premier.

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Disparities in Diabetes-Related Health Outcomes in Missouri

22

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Diabetes-Related Readmission Rates in Missouri by Age, Race & Gender

23

10%

12%

14%

16%

18%

20%

22%

18 to 27 28 to 37 38 to 47 48 to 57 58 to 67 68 to 77 78 to 87 88 to 97

Missouri Diabetes-Related 30-Day Readmission Rates by Age, Race and Gender: September 2012 to August 2015

Black Female Black Male White Female White Male

Source: Hospital Industry Data Institute, 2012-2015 Hospital Inpatient Discharge Databases.

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Diabetes-Related Mortality Rates in Missouri by Age, Race & Gender

24

0

5

10

15

20

25

30

35

18 to 27 28 to 37 38 to 47 48 to 57 58 to 67 68 to 77 78 to 87 88 to 97

FY2015 Missouri Rate of Diabetes-Related Deaths per 1,000 Hospitalizations by Age, Race and Gender

Black Female Black Male White Female White Male

Source: Hospital Industry Data Institute, 2015 Hospital Inpatient Discharge Database.

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The Role of Patients’ Community-Level Risk in Adverse Health Outcomes

25

Enlarged Area

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26

Social Determinants of Health

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Biological and Psychological Response

27

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Social Consequences

28

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Cost Implications 26 million U.S. adults 20 and older have

diabetes The total costs of diagnosed diabetes have

increased 41% over a 5-year period In 2007, the total cost was $174 billion In 2012, the total cost was $245 billion*

1 in 10 U.S. health care $$ spent on diabetes care

Total estimated MO burden = $5.1 billion*

*2012 data; CDC BRFSS data29

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Diabetes Management and Strategies to Address

Disparities

Alison Williams

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AHA’s Recommendations

Addressing overall health disparities requires Leadership buy-in, both administrative and

clinical, to achieve sustained improvement Consistent and recurring training of clinicians

and staff to reinforce behaviors and processes Incorporation of initiatives to eliminate health

disparities into the overall quality improvement and strategic plans

31

Source: American Hospital Association Equity of Care and Institute for Diversity in Health Management. Equity of Care: A Toolkit for Eliminating Health Care Disparities. January 2015.

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Addressing Health Disparities for Patients with Diabetes

Identify and stratify — know your population Increase access and affordability Increase screening and prevention opportunities

and resources Understand recommended guidelines and

individualize care to criteria, education and resource support Listen to the voice of the patient and engage

disparate communities to increase self-management

32

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0%

10%

20%

30%

40%

50%

FY2015 Missouri Percent of Inpatient Hospitalizations with a Diabetes Diagnosis by Age, Race and Gender

Black Female Black Male White Female White Male

Population Health Across the Lifespan

33

Health Across the Lifespan - Changes Across Developmental Levels

Standardized Yet Individualized – Self Management & Clinical Oversight

Hea

lth

Educ

atio

n &

Pro

mot

ion

Chronic Management Improvement

Purpose of the Intervention Also Matters…Diabetes interventions from a population health improvement perspective change over the lifespan

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Know Your Population Identify and stratify Common data sources

– Community Health Needs Assessment– REaL data collection– Health literacy screenings– Web resources (CDC, RWJ, Mapping Medicare Disparities

Tool)

What we already know Certain communities experience disparities in diabetes

research, education and treatment These communities have a higher risk of complications

such as lower limb amputations, retinopathy and kidney failure than non-Hispanic whites

34Source: American Diabetes Association

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Case Study: Analyzing REaL Data to Improve Quality of Care

University of Mississippi Medical Center Actions

Created a Healthcare Disparities Council (40 members) that reports to hospital leadership

Four subgroups: health literacy, patient access and experience of care, education and awareness, and quality of diverse populations

Adopted protocols to collect REaL data, provided training on patient interviews, developed and reviewed monthly reports

35

Results: Improved AMI and heart failure core measures for

all patients from 74% to 82% in two years Established an outpatient heart failure management

clinic with an APN who helps support patients post-hospitalization

Efforts were made to refer clients meeting criteria for at-risk disparities to the clinic

One year from clinic opening, the readmission rate for clinic patients was ZERO percent!

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Increase Access and Affordability

Health care coverage is key Primary care provider links

Effective/efficient provider referral networks (particularly from inpatient status)

Unconventional delivery methods

36

MO lacks Medicaid expansion

seen in other states.

ACA: 20 million Americans

have gained coverage.

ACA increased coverage

for screenings.

Increase in community-

based prevention programs.

Access: Disparities continue …the gap has not closed.

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Increase Access and Affordability ACA-led initiatives

Mostly focused on Medicare and Medicaid beneficiaries– Support of diabetes prevention programs– Support and testing of alternative payment models (ACOs, advanced

primary care, Medicare Shared Savings Program, etc.)– CMMI funding for Medicaid incentives for the prevention of chronic

disease – Increased preventive services coverage without coinsurance or

deductibles (medical nutrition therapy, smoking cessation, free “annual wellness visit”)

– Plans to close the “donut hole” for prescriptions in Medicare by 2020, increasing affordability

– Funding to build and expand programs in Community Health Centers and Primary and Behavioral Health Care Integration grant program

– Funding for ongoing research to improve care

37

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Clinical Management

38

“Strong clinical leadership and guidance coupled with improved self-management is an overarching strategy to combat a diagnosis of T2DM and/or

prevent worsening of the condition.” 2016 ADA Guidelines

Scre

enin

g

Prev

entio

n

Dis

ease

Man

agem

ent

When risk factors are present (prediabetes)

Every 3 years for at-risk with normal range glucose

Annually if 2 or more risk factors are present

School programming

Prediabetes assessment

Diet and activity modifications

Addressing tobacco use

Immunizations Psychosocial Comorbidities

Comorbidities HTN Cholesterol

Pharmacologic agents

Self-Management Diet and

activity Education Ongoing

support Tech support

End-of-life

Health Literacy – SES – SDS – Care Location – Delivery – Provider StructureEducation Methods – Community Connections – Referral Networks – Capacity

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Addressing Prediabetes as a Strategy

A person with prediabetes has a blood sugar level higher than normal, but not high enough for a diagnosis of diabetes, and is at higher risk for developing Type 2 diabetes and other serious health problems, including heart disease and stroke.

Without lifestyle changes to improve their health, 15 to 30 percent of people with prediabetes will develop Type 2 diabetes within five years

Data show in Missouri, potential disparities in those with prediabetes ages 45-74 and with less than a high school education most at risk

40

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Prediabetes Screening Tools

41

• Age, weight, low activity earn more points

• Score 3-8 — low risk for prediabetes, make lifestyle changes

• Score 9+ — high risk for having prediabetes

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American Diabetes Association: 2016 Clinical Guidelines Summary of Revisions Treatment should be tailored to address vulnerable

populations and those with health disparities due to ethnicity, culture, sex or socioeconomic status

No one diagnostic test is preferred over another; screening ages and risk factors were revised

Integrate medical care and patient engagement for behavior and lifestyle modifications

Technology has potential to play a significant role in self-management and clinical oversight

42

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American Diabetes Association: 2016 Clinical Guidelines Summary of Revisions

Glycemic targets were adjusted for those 65+ Obesity reduction strategies through behavior

modification and pharmacotherapy are highlighted Addressing cardiovascular disease prevention

related to diabetes through pharmacotherapy Better defined diabetic kidney disease and diabetic

retinopathy with therapy recommendations

43

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American Diabetes Association: 2016 Clinical Guidelines Summary of Revisions

Management of the geriatric patient should be individualized — functional status, care setting and end-of-life care needs

T2DM management for youth focuses on self-management education and support, addressing psychosocial issues and fasting lipid profiles

HgA1C and pharmacotherapy recommendations for women with pre- and gestational diabetes

Comprehensive section on inpatient care needs Prevention and management in the school setting

44

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Individualize and Focus

45Copyright © American College of Physicians. All rights reserved.

Approach to the management of hyperglycemia.Depicted are patient and disease factors used to determine optimal HbA1ctargets. Characteristics and predicaments toward the left justify more stringent efforts to lower HbA1c level, and those toward the right suggest less stringent efforts. Adapted with permission from Inzucchi and colleagues (18) and the American Diabetes Association. HbA1c = hemoglobin A1c.

Source: Ann Intern Med. 2016;164(8):542-552. doi:10.7326/M15-3016

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Tailor and Individualize Education

46

Assess health literacy levels — health literacy is the degree to which individuals have the capacity to obtain, process and understand basic health information and services needed to make appropriate health decisions (that are best for them).

REALM-SF Validation study: Arozullah AM, Yarnold PR, Bennett CL, et al. Development and validation of a short-form, rapid estimate of adult literacy in medicine. Med Care 2007 November;45(11):1026–33. PMID: 18049342

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Engage Toward Self-Management

Methods, settings and platforms Timing and capacity — “chunk it up” Community settings Community health workers, lay persons

47

https://www.acponline.org/practice-resources/patient-care-resources-and-tools/education

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Closing Comments

48

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Key Messages

Diabetes prevalence and incidence continue to show an upward trend

Disparities appear to exist for black males and females, those with less than a high school education and those over age 65

Hospital and ED utilization rates are disproportionately higher for those of black race, both for prevalence and incidence of diabetes

There is a knowledge gap of evidence noting further health equity disparities

49

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Key Messages

Education, prevention and management strategies should cover the lifespan to maximize quality of life and reduce health care costs

Missouri has “hot spots” to scope and direct diabetes prevention and management strategies toward, that would be opportunities for pilot initiatives

Importance of tracking data, over time, with collaborative interventions

Disparate populations should be identified and addressed

50

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Questions and Discussion

51

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Upcoming EducationWEBINAR #2

Disparity in Diabetes 11 a.m. Wednesday, May 11

WEBINAR #3

Improving Health Equity Through REaL Data Collection and Analysis

2 p.m. Tuesday, June 7

11 a.m. Monday, June 13

WEBINAR #4

Strategies for Cultural Competence 2 p.m. Wednesday, July 6

11 a.m. Thursday, July 7

52

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MHA Staff Contacts for the Health Equity Initiative

Leslie Porth, Ph.D., MPH, R.N.Senior Vice President of Strategic Quality Initiatives

[email protected]/893-3700, ext. 1305

Dana Dahl, MBA-H, CPHQVice President of Quality Program Development

[email protected]/893-3700, ext. 1314

53