Prevention Agenda 2019-2024: Prevent Chronic Diseases Action Plan
Prevent Chronic Diseases Action Plan (PDF, 1.0MB, 38pp.)
Table of Contents
Overview
Chronic diseases such as cancer, diabetes, heart disease, stroke, asthma and arthritis are among the leading causes of death, disability and rising health care costs in New York State (NYS). However, chronic diseases are also among the most preventable. Three modifiable risk behaviors - unhealthy eating, lack of physical activity, and tobacco use - are largely responsible for the incidence, severity and adverse outcomes of chronic disease. As such, improving nutrition and food security, increasing physical activity, and preventing tobacco use form the core of the Preventing Chronic Diseases Action Plan. The plan also emphasizes the importance of preventive care and management for chronic diseases, such as screening for cancer, diabetes, and high blood pressure; promoting evidence-based chronic disease management; and improving self-management skills for individuals with chronic diseases.
Some organizations and communities 1,2 have found the 3-4-50 framework a helpful way to focus interventions on the three behaviors (unhealthy eating, lack of physical activity, and tobacco use) that contribute to four chronic diseases (cancer, heart disease and stroke, type 2 diabetes and chronic lung diseases) that cause over 50 percent of all deaths worldwide.
Additional information about the burden of chronic diseases, underlying risk factors, associated disparities, and social determinants of health can be found at: Link to the burden documents.
Focus Area 1. Healthy Eating and Food Security
Goals
Overarching Goal Reduce obesity and the risk of chronic disease
Goal 1.1 Increase access to healthy and affordable foods and beverages
Goal 1.2 Increase skills and knowledge to support healthy food and beverage choices
Goal 1.3 Increase food security
Objectives: By December 31, 2024
Objective 1.1 Decrease the percentage of children with obesity (among children ages 2-4 years participating in the Special Supplemental Nutrition Program for Women, Infants, and Children [WIC])
Target | 13.0% |
Baseline | 13.7% |
Baseline Year | 2016 |
Data Source | PedNSS |
Data Level | State (by age, race/ethnicity), county |
Objective 1.2 Decrease the percentage of children with obesity (among public school students in NYS exclusive of New York City [NYC])
Target | 16.4% |
Baseline | 17.3% |
Baseline Year | 2014-16 |
Data Source | SWSCR |
Data Level | State, school district |
Objective 1.3 Decrease the percentage of children with obesity (among public school students in NYC)
Target | 19.4% |
Baseline | 20.4% |
Baseline Year | 2015-16 |
Data Source | NYC Fitnessgram |
Data Level | City, borough |
Objective 1.4 Decrease the percentage of adults ages 18 years and older with obesity (among all adults)
Target | 24.2% |
Baseline | 25.5% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income educational attainments, disability and region), county |
Objective 1.5 Decrease the percentage of adults ages 18 years and older with obesity (among adults with an annual household income of <$25,000)
Target | 29.0% |
Baseline | 30.5% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income educational attainments, disability and region), county |
Objective 1.6 Decrease the percentage of all adults ages 18 years and older with obesity (among adults living with a disability)
Target | 36.2% |
Baseline | 38.1% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income educational attainments, disability and region), county |
Objective 1.7 Decrease the percentage of adults who consume one or more sugary drinks per day (among all adults)
Target | 22.0% |
Baseline | 23.2% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income educational attainments, disability and region), county |
Objective 1.8 Decrease the percentage of adults who consume one or more sugary drinks per day (with an annual household income of <$25,000)
Target | 28.5% |
Baseline | 31.7% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income educational attainments, disability and region), county |
Objective 1.9 Decrease the percentage of adults who consume less than one fruit and less than one vegetable per day (among all adults)
Target | 29.6% |
Baseline | 31.2% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income educational attainments, disability and region), county |
Objective 1.10 Decrease the percentage of adults who consume less than one fruit and less than one vegetable per day (among adults who are non-Hispanic black)
Target | 39.1% |
Baseline | 41.2% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income educational attainments, disability and region), county |
Objective 1.11 Decrease the percentage of adults who consume less than one fruit and less than one vegetable per day (among adults who are Hispanic)
Target | 39.1% |
Baseline | 41.2% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income educational attainments, disability and region), county |
Objective 1.12 Increase the percentage of adults who buy fresh fruits and vegetables in their neighborhood (among adults who are non-Hispanic black)
Target | 90.6% |
Baseline | 86.3% |
Baseline Year | 2015 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income educational attainments, disability and region) |
Objective 1.13 Increase the percentage of adults with perceived food security (among all adults)
Target | 80.2% |
Baseline | 76.4% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income educational attainments, disability and region), county |
Objective 1.14 Increase the percentage of adults with perceived food security ( among adults with an annual household income of <$25,000)
Target | 61.4% |
Baseline | 55.8% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income educational attainments, disability and region), county |
Interventions
Intervention 1.0.1 Adopt policies and implement practices to reduce (over)consumption of sugary drinks Sugar-sweetened beverages (SSBs) are the largest source of added sugar and an important contributor of calories in the U.S. diet. Several social and environmental factors have been linked to the purchase and consumption of SSBs, and several mechanisms have been proposed to explain the association between SSB consumption and obesity. Research indicates that consumption of SSB is a modifiable behavior and that change in consumption is associated with change in body weight or obesity. There is growing evidence that adopting policies and implementing practices, such as limiting access to SSBs, promoting access to and consumption of more healthful alternatives to SSBs, limiting marketing of SSBs, and implementing differential pricing of SSBs to reduce the relative cost of more healthful beverages, are associated with reductions in the purchase and consumption of SSBs. Local health departments, other agencies, hospitals, businesses, community-based organizations (CBOs) and other stakeholders can collaboratively work to support promising policies, practices and environmental changes.
Evidence and Resources | Evidence base:
Resources: |
Age Range | All Ages |
Social Determinants Addressed |
Education Food Security Built Environment |
Lead Sectors |
Employers, businesses and unions Colleges and Universities Policy makers and elected officials |
Contributing Sectors |
Governmental Public Health Agencies Media Schools (K-12) CBOs and Human service agencies Urban planning agencies |
Intermediate-level Measure Example | Number of entities that adopt policies or implement practices to reduce consumption of sugary drinks. |
Intervention 1.0.2 Quality nutrition (and physical activity) in early learning and child care settings As the obesity epidemic has grown, even the youngest children are affected. The prevalence of young children with obesity or overweight has increased, and for many, this will persist through childhood and adulthood. With the identification of risk factors and obesogenic environments, a growing body of evidence research identifies policy and environmental strategies that support improved nutrition, increased physical activity and reduced screen time to prevent and reduce early childhood overweight and obesity. Local health departments, other agencies, businesses, CBOs and other stakeholders can work with local child care providers to promote and support evidence-based policy and environmental changes.
Evidence and Resources | Evidence base: Resources: |
Age Range | Children, 6 weeks up to age 6 years |
Social Determinants Addressed |
Built Environment |
Lead Sectors |
Policy makers and elected officials Governmental Children's Agencies Child care Centers Day Care Homes |
Contributing Sectors |
Governmental Public Health Agencies Community or neighborhood residents |
Intermediate-level Measure Example | Number of early care and education sites that improve nutrition policies and practices |
Intervention 1.0.3
Worksite nutrition and physical activity programs designed to improve health behaviors and results
Local health departments, hospitals, health centers, businesses, CBOs and other stakeholders can implement wellness programs at their own worksite and work with local worksites to implement nutrition and physical activity interventions as part of a comprehensive worksite wellness program. Recommended components include:
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Educating and informing through classes, distributing written information or utilizing educational software.
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Conducting activities that target thoughts and social factors to influence behavior change. Examples include individual or group behavioral counseling, skill-building activities, providing rewards, and building support systems among co-workers and family members.
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Changing physical or organizational structures that reach the entire workforce and make the healthy choice the easy choice. Examples include changing the options in cafeterias or vending machines; providing more opportunities for physical activity; modifying health insurance benefits; or offering memberships to health clubs.
Evidence and Resources | Evidence base: Resources: |
Age Range | Adolescents (13-21), Adults (21-60), Older Adults (60+) |
Social Determinants Addressed |
Built Environment Health Care |
Lead Sectors |
Employers, businesses and unions |
Contributing Sectors |
Governmental Public Health Agencies Healthcare Delivery system Insurers |
Intermediate-level Measure Example | Number of worksites that improve nutrition policies and practices. |
Intervention 1.0.4
Multi-component school-based obesity prevention interventions
Local health departments, hospitals, health centers, insurers, businesses, CBOs and other stakeholders can collaborate to work with local school districts and parent-teacher organizations (PTOs) to support policy, and environmental changes that target physical activity and nutrition before, during or after school. Recommended components include:
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Increasing the availability of healthier foods and beverages.
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Selling healthier snack foods and beverages.
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Using strategies to market healthier foods and beverages.
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Limiting access to less healthy foods and beverages.
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Providing healthy eating learning opportunities.
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Creating school meal policies to ensure school breakfasts or lunches meet specific nutrition requirements.
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Providing fresh fruits and vegetables to students at lunch and/or snack.
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Increasing access to school breakfast.
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Participating in Farm to School Programs
Evidence and Resources | Evidence base:
Resources:
|
Age Range | Children up to age 11, Adolescents (13-21) |
Social Determinants Addressed |
Education Food Security Community Cohesion |
Lead Sectors |
Schools (K-12) Policy makers and elected officials Governmental Education Agencies Governmental Agricultural Agencies Agricultural Organizations |
Contributing Sectors |
Governmental Public Health Agencies Media Community or neighborhood residents CBOs and Human service agencies Transportation agencies |
Intermediate-level Measure Example | Number of schools that improve nutrition policies and practices.
|
Intervention 1.0.5 Increase the availability fruit and vegetable incentive programs Systematic evidence reviews find that financial incentive programs can increase affordability, access, purchases, and consumption of fruits and vegetables. Incentive programs for the purchase of fruits and vegetables have also been shown to increase sales and use of food assistance benefits (e.g., SNAP or WIC) at farmers' markets. Financial incentives can be a dollar-for-dollar match or a set amount per dollar spent (i.e., $2 for every $5 spent). Local health departments, hospitals, health centers, insurers, businesses, CBOs, hunger prevention advocates and other stakeholders can collaborate with local agencies to increase the availability and/or provide matching funds for low-income persons to purchase healthy foods, especially fresh fruits and vegetables.
Evidence and Resources | Evidence base: Resources: |
Age Range | All ages |
Social Determinants Addressed |
Food Security |
Lead Sectors |
Governmental Public Health Agencies Governmental Social Support Agencies Governmental Agricultural Agencies |
Contributing Sectors |
Healthcare Delivery system CBOs and Human service agencies |
Intermediate-level Measure Example | Number of programs that adopt policies and practices to increase consumption of fruits and vegetables. |
Intervention 1.0.6
Screen for food insecurity, facilitate and actively support referral
Effective systems for referral are necessary to help individuals and families access services and benefits for which they eligible. Screening for food insecurity in clinical settings has been recommended by several national organizations, as food insecurity can adversely impact a patient's health outcomes. Some studies have shown that screening for food insecurity is feasible and adds minimal time to the appointment. Screening can ensure timely referral to public health nutrition programs such as WIC, SNAP, CACFP and Commodity Supplemental Food Program (CSFP), and, if necessary, local emergency food services. Screening and referral alone, however, may not be sufficient. Successful case studies have included additional information technology (IT), systems and/or staff resources to facilitate connection, application, and enrollment in the appropriate public health nutrition and/or community program(s).
Local hospitals, health centers, businesses, and other stakeholders can partner with CBOs and governmental or private human services organizations to:
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Promote and support screening of pediatric patients by healthcare providers, facilitate referral and support active connection to WIC and/or SNAP;
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Promote screening of older-adult populations for food insecurity, facilitate referral and support active connection to SNAP; and
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Provide IT, systems and/or staff resources to help individuals and families access, connect and enroll in appropriate nutrition and/or community programs to receive the benefits for which they eligible.
Focus Area 2. Physical Activity
Goals
Overarching Goal Reduce obesity and the risk of chronic diseases
Goal 2.1 Improve community environments that support active transportation and recreational physical activity for people of all ages and abilities.
Goal 2.2 Promote school, child care and worksite environments that increase physical activity
Goal 2.3 Increase access, for people of all ages and abilities, to indoor and/or outdoor places for physical activity.
Objectives: By December 31, 2024
Objective 1.1 Decrease the percentage of children with obesity (among WIC children ages 2-4 years)
Target | 13.0% |
Baseline | 13.7% |
Baseline Year | 2016 |
Data Source | PedNSS |
Data Level | State (by age, race/ethnicity), county |
Objective 1.2 Decrease the percentage of children with obesity (among public school students in NYS exclusive of NYC)
Target | 16.4% |
Baseline | 17.3% |
Baseline Year | 2014-16 |
Data Source | SWSCR |
Data Level | State, school district |
Objective 1.3 Decrease the percentage of children with obesity (among public school students in NYC)
Target | 19.4% |
Baseline | 20.4% |
Baseline Year | 2015-16 |
Data Source | Fitnessgram |
Data Level | City, borough |
Objective 1.4 Decrease the percentage of adults ages 18 years and older with obesity (among all adults)
Target | 24.2% |
Baseline | 25.5% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income educational attainments, disability and region), county |
Objective 1.5 Decrease the percentage of adults ages 18 years and older with obesity (among adults with an annual household income of <$25,000)
Target | 29.0% |
Baseline | 30.5% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income educational attainments, disability and region), county |
Objective 1.6 Decrease the percentage of adults ages 18 years and older with obesity (among adults living with a disability)
Target | 36.2% |
Baseline | 38.1% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income educational attainments, disability and region), county |
Objective 1.7 Increase the percentage of adults age 18 years and older who participate in leisure-time physical activity (among all adults)
Target | 77.4% |
Baseline | 73.7% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income, educational attainment, disability and region), county |
Objective 1.8 Increase the percentage of adults age 18 years and older who participate in leisure-time physical activity (among adults with less than a high school education)
Target | 58.7% |
Baseline | 53.4% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income, educational attainment, disability and region), county |
Objective 1.9 Increase the percentage of adults age 18 years and older who participate in leisure-time physical activity (among adults with disabilities)
Target | 61.8% |
Baseline | 56.2% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income, educational attainment, disability and region), county |
Objective 1.10 Increase the percentage of adults age 65 years and older who participate in leisure-time physical activity
Target | 75.9% |
Baseline | 69.0% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income, educational attainment, disability and region), county |
Objective 1.11 Increase the percentage of adults age 18 years and older who meet the aerobic and muscle strengthening physical activity guidelines (among all adults)
Target | 21.0% |
Baseline | 20.0% |
Baseline Year | 2015 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income, educational attainment, disability and region) |
Objective 1.12 Increase the percentage of adults age 18 years and older who meet the aerobic and muscle strengthening physical activity guidelines (among adults with less than a high school education)
Target | 12.0% |
Baseline | 10.9% |
Baseline Year | 2015 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income, educational attainment, disability and region) |
Objective 1.13 Increase the percentage of adults age 18 years and older who meet the aerobic and muscle strengthening physical activity guidelines (among adults with disabilities)
Target | 10.5% |
Baseline | 9.5% |
Baseline Year | 2015 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income, educational attainment, disability and region) |
Objective 1.14 Increase the percentage of adults age 65 years and older who meet the aerobic and muscle strengthening physical activity guidelines
Target | 18.0% |
Baseline | 16.4% |
Baseline Year | 2015 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income, educational attainment, disability and region) |
Objective 1.15 Increase the percentage of adults age 18 and over who walk or bike to get from one place to another (among all adults)
Target | TBD |
Baseline | TBD |
Baseline Year | 2018 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income, educational attainment, disability and region), county |
Objective 1.16 Increase the percentage of adults age 18 and over who walk or bike to get from one place to another (among adults with less than a high school education)
Target | TBD |
Baseline | TBD |
Baseline Year | 2018 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income, educational attainment, disability and region), county |
Objective 1.17 Increase the percentage of adults age 18 and over who walk or bike to get from one place to another (among adults with disabilities)
Target | TBD |
Baseline | TBD |
Baseline Year | 2018 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income, educational attainment, disability and region), county |
Objective 1.18 Increase the percentage of adults age 65 and over who walk or bike to get from one place to another
Target | TBD |
Baseline | TBD |
Baseline Year | 2018 |
Data Source | BRFSS |
Data Level | State (by sex, age, race/ethnicity, income, educational attainment, disability and region), county |
Objective 1.19 Increase the percentage of high school students who were physically active for a total of at least 60 minutes/day on all 7 days (among all high school students)
Target | 24.4% |
Baseline | 23.2% |
Baseline Year | 2017 |
Data Source | YRBS |
Data Level | State (by sex, grade-level, race/ethnicity) |
Objective 1.20 Increase the percentage of high school students who were physically active for a total of at least 60 minutes/day on all 7 days (among black high school students)
Target | 18.7% |
Baseline | 17.0% |
Baseline Year | 2017 |
Data Source | YRBS |
Data Level | State (by sex, grade-level, race/ethnicity) |
Objective 1.21 Increase the percentage of high school students who were physically active for a total of at least 60 minutes/day on all 7 days (among Hispanic high school students)
Target | 20.1% |
Baseline | 18.3% |
Baseline Year | 2017 |
Data Source | YRBS |
Data Level | State (by sex, grade-level, race/ethnicity) |
Interventions
2.1 Improve community environments that support active transportation and recreational physical activity for people of all ages and abilities.
Intervention 2.1.1
Implement a combination of one or more new or improved pedestrian, bicycle, or transit transportation system components (i.e., activity-friendly routes):
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Street pattern design and connectivity
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Pedestrian infrastructure
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Bicycle infrastructure
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Public transit infrastructure and access
with new or improved land use or environmental design components (i.e., connecting everyday destinations):
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Mixed land use
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Increased residential density
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Community or neighborhood proximity
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Parks and recreational facility access
through comprehensive master/transportation plans or Complete Streets resolutions, policies, or ordinances to connect sidewalks, multi-use paths and trails, bicycle routes, and public transit with homes, early care and education sites, schools, worksites, parks, recreation facilities, and natural or green spaces.
Evidence and Resources | Evidence base: Resources: |
Age Range | All Ages |
Social Determinants Addressed |
Economic Stability Transportation Community Cohesion Built Environment |
Lead Sectors |
Governmental Public Health Agencies |
Contributing Sectors |
Insurers Media Colleges and Universities Schools (K-12) Community or neighborhood residents CBOs and Human service agencies Policy makers and elected officials Transportation agencies Housing agencies Economic development agencies Natural environment agencies Urban planning agencies |
Intermediate-level Measure Example | Number of places that implement new, or improve existing, community planning and transportation interventions that support safe and accessible physical activity |
2.2 Promote school, child care and worksite environments that increase physical activity
Intervention 2.2.1 Implement the Centers for Disease Control and Prevention (CDC) Comprehensive School Physical Activity Program in school districts through Local School Wellness Policy Committees aligned with school district educational outcomes; Local School Wellness Policy requirements; School Health Improvement Plans; CDC's Whole School, Whole Community, Whole Child Model; New York State Education Department's Every Student Succeeds Act Plan; School Health Index and Wellness School Assessment Tool (WellSAT) assessments; school staff and teacher professional development and training standards, and with resource or materials support.
Evidence and Resources | Evidence base: Resources: |
Age Range | Children up to age 11, Adolescents (13-21) |
Social Determinants Addressed |
Education Community Cohesion |
Lead Sectors |
Governmental Public Health Agencies |
Contributing Sectors |
Media Colleges and Universities Schools (K-12) Community or neighborhood residents CBOs and Human service agencies Policy makers and elected officials Housing agencies Economic development agencies |
Intermediate-level Measure Example | Number of schools with Comprehensive School Physical Activity Programs |
Intervention 2.2.2 Adopt and implement policies, programs, and best practices that meet QUALITYstars NY standards to provide infants daily opportunities to move freely under adult supervision to explore indoor and outdoor environments, including tummy time when awake; to provide opportunities for toddlers and/or preschoolers to have at least 15 minutes of developmentally appropriate, structured and unstructured, moderate to vigorous physical activity (both inside and outside) for every hour they are in care; and develop policies that limit screen time use of TV/video for children, including that TV/video is never used during nap and meal time or for children birth to age 2. For children ages 2 to 5 there is no more than 30 minutes once a week of high quality educational or movement-based commercial-free programming. Programs should also encourage parental involvement, provide portable play equipment on playgrounds and other play spaces, and provide staff with training in the delivery of structured physical activity sessions and increase the time allocated for such sessions.
Evidence and Resources | Evidence base: 3.1.3.1: Active Opportunities for Physical Activity 3.1.3.4: Caregivers'/Teachers' Encouragement of Physical Activity 2.2.0.3: Screen Time/Digital Media Use Resources: |
Age Range | Infants and Toddlers up to age 5 |
Social Determinants Addressed |
Education Community Cohesion |
Lead Sectors |
Governmental Public Health Agencies |
Contributing Sectors |
Media Colleges and Universities Schools (K-12) Community or neighborhood residents CBOs and Human service agencies Housing agencies Economic development agencies |
Intermediate-level Measure Example | Number of early care and education sites that improve physical activity policies and practices using an evidence-based assessment tool |
Intervention 2.2.3 Implement a combination of worksite-based physical activity policies, programs, or best practices through multi-component worksite physical activity and/or nutrition programs; environmental supports or prompts to encourage walking and/or taking the stairs; or structured walking-based programs focusing on overall physical activity that include goal-setting, activity monitoring, social support, counseling, and health promotion and information messaging.
Evidence and Resources | Evidence base:
Resources: |
Age Range | Adolescents (13-21), Adults (21-60), Older Adults (60+) |
Social Determinants Addressed |
Economic Stability Health Care |
Lead Sectors |
Governmental Public Health Agencies |
Contributing Sectors |
Healthcare Delivery system Employers, businesses and unions Insurers |
Intermediate-level Measure Example | Number of worksites that improve physical activity policies and practices using an evidence-based assessment tool |
2.3 Increase access, for people of all ages and abilities, to indoor and/or outdoor places for physical activity.
Intervention 2.3.1 Implement and/or promote a combination of community walking, wheeling, or biking programs, Open Streets programs, joint use agreements with schools and community facilities, Safe Routes to School programs, increased park and recreation facility safety and decreased incivilities (i.e., litter, graffiti, dogs off leash, unmaintained equipment), new or upgraded park or facility amenities or universal design features (i.e. playgrounds and structures; walking loops, recreation fields; gymnasiums; pools; outdoor physical activity equipment, fitness stations or zones; skate zones; picnic areas; concessions or food vendors; and pet waste stations); supervised activities or programs combined with onsite marketing, community outreach, and safety education. (Note: Parks can include mini-parks, pocket parks, or parklets; neighborhood parks; community and large urban parks; sports complexes; and natural resource areas.)
Evidence and Resources | Evidence base: Resources: |
Age Range | All Ages |
Social Determinants Addressed |
Economic Stability Transportation Community Cohesion Natural Environment Built Environment |
Lead Sectors |
Governmental Public Health Agencies |
Contributing Sectors |
Insurers Media Colleges and Universities Schools (K-12) Community or neighborhood residents CBOs and Human service agencies Policy makers and elected officials Transportation agencies Housing agencies Economic development agencies Natural environment agencies Urban planning agencies |
Intermediate-level Measure Example | Number of indoor and/or outdoor facilities that can be accessed by walking, biking, or wheeling. |
Focus Area 3. Tobacco Prevention
Goal 3.1 Prevent initiation of tobacco use
Objectives: By December 31, 2024
3.1.1 Decrease the prevalence of any tobacco use by high school students
Target | 19.7% |
Baseline | 25.4% |
Baseline Year | 2016 |
Data Source | NYS YTS |
Data Level | State (race/ethniity, gender, grade level, NYC/ROS) |
3.1.2 Decrease the prevalence of combustible cigarette use by high school students
Target | 3.3% |
Baseline | 4.3% |
Baseline Year | 2016 |
Data Source | NYS YTS |
Data Level | State (race/ethniity, gender, grade level, NYC/ROS) |
3.1.3 Decrease the prevalence of vaping product use by high school students
Target | 15.9% |
Baseline | 20.6% |
Baseline Year | 2016 |
Data Source | NYS YTS |
Data Level | State (race/ethniity, gender, grade level, NYC/ROS) |
3.1.4 Decrease the prevalence of combustible cigarette use by young adults age 18-24 years
Target | 9.1% |
Baseline | 11.7% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by race/ethnicity, SES, gender, region), and by county when expanded |
3.1.5 Decrease the prevalence of vaping product use by young adults age 18-24 years
Target | 7.0% |
Baseline | 9.1% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by race/ethnicity, SES, gender, region), and by county when expanded |
3.1.6 Increase the number of municipalities that adopt retail environment policies, including those that restrict the density of tobacco retailers, keep the price of tobacco products high, and prohibit the sale of flavored tobacco products
Target | 30 |
Baseline | 15 |
Baseline Year | 2018 |
Data Source | CAT |
Data Level | State, municipality |
Interventions
3.1.1 Increase Tobacco Control Program Funding to the CDC-Recommended level, to ensure a comprehensive tobacco control program.
Evidence and Resources | Resources: [Best Practices]; 2016 Independent Evaluation Report of the New York Tobacco Control Program https://www.cdc.gov/tobacco/stateandcommunity/best_practices/index.htm |
Age Range | All age groups |
Social Determinants Addressed |
Health Care Social and Community Context |
Lead Sectors |
Advocates state government |
Intermediate-level Measure Example | Raise program funding to $52 million, approximately 25 percent of recommended full funding. |
3.1.2 Use media and health communications to highlight the dangers of tobacco, promote effective tobacco control policies and reshape social norms.
Evidence and Resources | Resources: The Community Guide: The Role of the Media in Promoting and Reducing Tobacco Use https://www.thecommunityguide.org/topic/tobacco |
Age Range | All |
Social Determinants Addressed |
Social and Community Context: Social Cohesion |
Lead Sectors |
Media State and local health departments |
Intermediate-level Measure Example | Evidence of increasing support for effective tobacco control measures that would reduce youth initiation. |
3.1.3 Pursue policy action to reduce the impact of tobacco marketing in lower-income and racial/ethnic minority communities, disadvantaged urban neighborhoods and rural areas.
Evidence and Resources | Resources: Public Health Law Center, http://www.publichealthlawcenter.org/sites/default/files/resources/tclc-guide-pos-policy-WashU-2014.pdf |
Age Range | Birth 18, All |
Social Determinants Addressed |
Neighborhood and Environment: Environmental Conditions |
Lead Sectors |
Local government |
Intermediate-level Measure Example | Evidence of increasing support for effective tobacco control measures that would reduce youth initiation. |
3.1.4 Keep the price of tobacco uniformly high by regulating tobacco company practices that reduce the real price of cigarettes through discounts.
Evidence and Resources | Resources: Public Health Law Center |
Age Range | All |
Social Determinants Addressed |
Neighborhood and Environment: Environmental Conditions |
Lead Sectors |
Local government |
Intermediate-level Measure Example | Evidence of increasing support for effective tobacco control measures that restrict tobacco company practices that decrease the real price of tobacco products through industry discounts. |
3.1.5 Decrease the availability of flavored tobacco products including menthol flavors used in combustible and non-combustible tobacco products and flavored liquids including menthol used in electronic vapor products.
Evidence and Resources | Resources: Public Health Law Center http://www.publichealthlawcenter.org/sites/default/files/resources/Regulating-Flavored-Tobacco-Products-2017.pdf |
Age Range | Birth 18, All |
Social Determinants Addressed |
Neighborhood and Environment: Environmental Conditions |
Lead Sectors |
local government |
Intermediate-level Measure Example | Evidence of increasing support for effective tobacco control measures that would restrict the sale of flavored tobacco products and flavored liquids used in electronic vapor products. |
3.1.6 Advocate with media parent companies to eliminate youth exposure to tobacco imagery and tobacco marketing in youth-rated movies.
Evidence and Resources | Resources: University of California, San Francisco, https://smokefreemovies.ucsf.edu/ |
Age Range | Birth - 18 |
Social Determinants Addressed |
Social Cohesion |
Lead Sectors |
Entertainment |
Intermediate-level Measure Example | Evidence of increasing support for effective tobacco control measures that would eliminate youth exposure to tobacco imagery and marketing in youth-rated movies. |
Goal 3.2 Promote tobacco use cessation
Objectives: By December 31, 2024
3.2.1 Increase the percentage of smokers who received assistance from their health care provider to quit smoking by 13.1% from 53.1% (2017) to 60.1%.
Target | 60.1% |
Baseline | 53.1% |
Baseline Year | 2017 |
Data Source | NYS ATS |
Data Level | State (race/ethniity, gender, SES, NYC/ROS) |
3.2.2 Decrease the prevalence of cigarette smoking by adults ages 18 years and older (among all adults)
Target | 11.0% |
Baseline | 14.2% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by race/ethnicity, SES, gender, region), and by county when expanded |
3.2.3 Decrease the prevalence of cigarette smoking by adults ages 18 years and older (among adults with income less than $25,000)
Target | 15.3% |
Baseline | 19.8% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by race/ethnicity, SES, gender, region), and by county when expanded |
3.2.4 Decrease the prevalence of cigarette smoking by adults ages 18 years and older (among adults with less than a high school education)
Target | 14.9% |
Baseline | 19.2% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by race/ethnicity, SES, gender, region), and by county when expanded |
3.2.5 Decrease the prevalence of cigarette smoking by adults ages 18 years and older (among adults reporting frequent mental distress)
Target | 20.1% |
Baseline | 26.0% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by race/ethnicity, SES, gender, region), and by county when expanded |
3.2.6 Decrease the prevalence of cigarette smoking by adults ages 18 years and older (among adults who self-identify as LGBT)
Target | 14.9% |
Baseline | 19.3% |
Baseline Year | 2014-2016 pooled |
Data Source | BRFSS |
Data Level | state (by race/ethnicity, SES, gender, region), and by county when expanded |
3.2.7 Decrease the prevalence of cigarette smoking by adults ages 18 years and older (among adults who are living with any disability)
Target | 15.6% |
Baseline | 20.1% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by race/ethnicity, SES, gender, region), and by county when expanded |
3.2.8 Increase the utilization of smoking cessation benefits (counseling and/or medications) among smokers who are enrolled in any Medicaid* program
Target | 26.2% |
Baseline | 20.5% |
Baseline Year | 2016 |
Data Source | Medicaid Program |
Data Level | state, NYC/ROS |
Interventions
3.2.1 Assist medical and behavioral health care organizations (defined as those organizations focusing on mental health and substance use disorders) and provider groups in establishing policies, procedures and workflows to facilitate the delivery of tobacco dependence treatment, consistent with the Public Health Service Clinical Practice Guidelines, with a focus on Federally Qualified Health Centers, Community Health Centers and behavioral health providers.
Evidence and Resources | |
Age Range | 18 years and older |
Social Determinants Addressed |
Health Care Access to Health Care |
Lead Sectors |
FQHCs CHC Behavioral Health Clinics Provider Practices |
Intermediate-level Measure Example | Health care providers exhibit greater propensity to provide counseling and medications where appropriate to treat tobacco dependence in their patients. |
3.2.2 Use health communications and media opportunities to promote the treatment of tobacco dependence by targeting smokers with emotionally evocative and graphic messages to encourage evidence-based quit attempts, to increase awareness of available cessation benefits (especially Medicaid), and to encourage health care provider involvement with additional assistance from the NYS Smokers' Quitline.
Evidence and Resources | Resources: |
Age Range | 18 years and older |
Social Determinants Addressed |
Health Care Health and Health Care: Access to Health Care |
Lead Sectors |
State Health Department, local health departments |
Intermediate-level Measure Example | Promote and educate smokers about the benefits of evidence-based quitting approaches. |
3.2.3 Use health communications targeting health care providers to encourage their involvement in their patients' quit attempts encouraging use of evidence-based quitting, increasing awareness of available cessation benefits (especially Medicaid), and removing barriers to treatment.
Evidence and Resources | Resources: https://talktoyourpatients.health.ny.gov/ |
Age Range | 18 years and older |
Social Determinants Addressed |
Health Care Health and Health Care: Access to Health Care |
Lead Sectors |
Health Care Organizations and Providers NYS Smokers' Quitline Community Based Organizations |
Intermediate-level Measure Example | Work with departmental health system grantees to promote the delivery of evidence-based cessation services by health care providers. |
3.2.4 Promote Medicaid and other health plan coverage benefits for tobacco dependence counseling and medications.
Evidence and Resources | Resources: CDC: https://www.cdc.gov/mmwr/volumes/67/wr/mm6713a3.htm |
Age Range | 18 years and older |
Social Determinants Addressed |
Health Care Health and Health Care: Access to Health Care |
Lead Sectors |
Medicaid Offices County Health Departments |
Intermediate-level Measure Example | Increase awareness of Medicaid benefits for tobacco use cessation among Medicaid enrollees and health care providers. |
Goal 3.3 Eliminate exposure to secondhand smoke
Objectives: By December 31, 2024
3.3.1 Decrease the percentage of adults (non-smokers) living in multi-unit housing who were exposed to secondhand smoke in their homes
Target | 27.2% |
Baseline | 35.2% |
Baseline Year | 2017 |
Data Source | NYS ATS |
Data Level | State (race/ethniity, gender, SES, NYC/ROS) |
3.3.2 Decrease the percentage of youth (middle and high school students) who were in a room where someone was smoking on at least 1 day in the past 7 days
Target | 17.9% |
Baseline | 23.1% |
Baseline Year | 2016 |
Data Source | NYS YTS |
Data Level | State (race/ethniity, gender, grade level, NYC/ROS) |
3.3.3 Increase the number of multi-unit housing units (focus should be on housing with higher number of units) that adopt a smoke-free policy by 5000 units each year
Target | |
Baseline | |
Baseline Year | |
Data Source | CAT |
Data Level | State, municipality |
Interventions
3.3.1 Promote smoke-free and aerosol-free (from electronic vapor products) policies in multi-unit housing, including apartment complexes, condominiums and co-ops, especially those that house low-SES residents.
Evidence and Resources | Resources: HUD Smoke Free Public Housing https://www.hud.gov/program_offices/healthy_homes/smokefree |
Age Range | All |
Social Determinants Addressed |
Neighborhood and Environment: Environmental Conditions |
Lead Sectors |
Housing agencies |
Intermediate-level Measure Example | Increase the number of 100% smoke-free public housing units. Increase the proportion of leases that require that smoking policies be transparent. |
3.3.2 Increase the number of smoke-free parks, beaches, playgrounds, college and other public spaces.
Evidence and Resources | Resources: Public Health and Tobacco Policy Center http://tobaccopolicycenter.org/tobacco-control/tobacco-free-outdoor-areas/ |
Age Range | All |
Social Determinants Addressed |
Neighborhood and Environment: Environmental Conditions |
Lead Sectors |
Government business educational institutions healthcare institutions |
Intermediate-level Measure Example | Increasing support for or actual policies passed that increase the number of smoke-free parks, beaches, playgrounds and other public spaces. |
3.3.3 Educate organizational decision makers, conduct community education, and use paid and earned media to increase community knowledge of the dangers of secondhand smoke exposure and secondhand aerosol/emission exposure from electronic vapor products.
Evidence and Resources | Resources: https://www.cdc.gov/tobacco/data_statistics/fact_sheets/secondhand_smoke/general_facts/index.htm |
Age Range | All |
Social Determinants Addressed |
Neighborhood and Environment: Environmental Conditions |
Lead Sectors |
Business government educational institutions |
Intermediate-level Measure Example | Number of times decision makers were educated about secondhand smoke and aerosol/emissions |
Additional Intermediate-level Measure Example(s) | Number of community education forums or media campaigns conducted. |
Focus Area 4. Chronic Disease Preventive Care and Management
Goal 4.1 Increase cancer screening rates
Objectives: By December 31, 2024
4.1.1 Increase the percentage of women with an annual household income less than $25,000 who receive a breast cancer screening based on most recent guidelines
Target | 79.7% |
Baseline | 75.9% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by race/ethnicity, gender, and region), and by county |
4.1.2 Increase the percentage of women with an annual household income less than $25,000 who receive a cervical cancer screening based on the most recent guidelines
Target | 80.0% |
Baseline | 76.1% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by race/ethnicity, gender, and region), and by county |
4.1.3 Increase the percentage of adults who receive a colorectal cancer screening based on the most recent guidelines (ages 50 to 75 years)
Target | 80.0% |
Baseline | 68.5% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by race/ethnicity, gender, and region), and by county |
4.1.4 Increase the percentage of adults who receive a colorectal cancer screening based on the most recent guidelines (adults with an annual household income less than $25,000)
Target | 63.7% |
Baseline | 60.7% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by race/ethnicity, gender, and region), and by county |
4.1.5 Increase the percentage of adults aged 50-64 who receive a colorectal cancer screening based on the most recent guidelines
Target | 66.3% |
Baseline | 63.1% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by race/ethnicity, gender, and region), and by county |
Interventions
4.1.1 Work with health care providers/clinics to put systems in place for patient and provider screening reminders (e.g., letter, postcards, emails, recorded phone messages, electronic health records [EHR] alerts).
Evidence and Resources | Evidence: The Community Guide |
Age Range | adults ages 21-75 |
Social Determinants Addressed |
Health Care |
Lead Sectors |
Healthcare Delivery system Insurers |
Contributing Sectors |
Governmental Public Health Agencies |
Intermediate-level Measure Example |
|
4.1.2 Conduct one-on-one (by phone or in-person) and group education (presentation or other interactive session in a church, home, senior center or other setting).
Evidence and Resources | Evidence: The Community Guide |
Age Range | adults ages 21-75 |
Social Determinants Addressed |
Education |
Lead Sectors |
Governmental Public Health Agencies Healthcare Delivery system CBOs and Human service agencies |
Contributing Sectors |
Employers, businesses and unions Insurers Community or neighborhood residents |
Intermediate-level Measure Example |
|
4.1.3 Use small media such as videos, printed materials (letters, brochures, newsletters) and health communications to build public awareness and demand.
Evidence and Resources | Evidence: The Community Guide |
Age Range | adults ages 21-75 |
Social Determinants Addressed |
Education |
Lead Sectors |
Governmental Public Health Agencies Healthcare Delivery system Insurers CBOs and Human service agencies |
Contributing Sectors |
Employers, businesses and unions |
Intermediate-level Measure Example |
|
4.1.4 Work with clinical providers to assess how many of their patients receive screening services and provide them feedback on their performance (Provider Assessment and Feedback).
Evidence and Resources | Evidence: The Community Guide |
Age Range | adults ages 21-75 |
Social Determinants Addressed |
Health Care |
Lead Sectors |
Healthcare Delivery system Insurers |
Contributing Sectors |
Governmental Public Health Agencies |
Intermediate-level Measure Example |
|
4.1.5 Remove structural barriers to cancer screening such as providing flexible clinic hours, offering cancer screening in non-clinical settings (mobile mammography vans, flu clinics), offering on-site translation, transportation, patient navigation and other administrative services and working with employers to provide employees with paid leave or the option to use flex time for cancer screenings.
Evidence and Resources | Evidence: The Community Guide |
Age Range | adults ages 21-75 |
Social Determinants Addressed |
Transportation Health Care |
Lead Sectors |
Governmental Public Health Agencies Healthcare Delivery system Employers, businesses and unions CBOs and Human service agencies Transportation agencies |
Intermediate-level Measure Example | Number of organizations that adopt practices and policies that reduce structural barriers to cancer screening |
4.1.6 Ensure continued access to health insurance to reduce economic barriers to screening.
Evidence and Resources | Evidence: The Community Guide |
Age Range | adults ages 21-64 |
Social Determinants Addressed |
Economic Stability Health Care |
Lead Sectors |
Governmental Public Health Agencies Healthcare Delivery system Employers, businesses and unions Insurers CBOs and Human service agencies Policy makers and elected officials |
Intermediate-level Measure Example | Change in the percent of NYS population that has health insurance coverage |
Goal 4.2 Increase early detection of cardiovascular disease, diabetes, prediabetes and obesity
Objectives: By December 31, 2024
4.2.1 Increase the percentage of adults 45+ who had a test for high blood sugar or diabetes within the past three years by 5%
Target | 71.7% |
Baseline | 68.3% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by gender, income, and region), and by county |
4.2.2 Increase the percentage of low-income (<$25,000) adults 45+ who had a test for high blood sugar or diabetes within the past three years by 5%
Target | 67.4% |
Baseline | 64.2% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by gender, income, and region), and by county |
4.2.3 Increase the percentage of children and adolescents ages 3 -17 years with an outpatient visit with a primary care provider or OB/GYN practitioner during the measurement year who received appropriate assessment for weight status during the measurement year by 5%
Target | 80.6% [HMO]; 80.6% [MMC] |
Baseline | 77% [HMO]; 77% [MMC] |
Baseline Year | 2016 |
Data Source | QARR |
Data Level | state (by health plan) |
Interventions
4.2.1 Promote strategies that improve the detection of undiagnosed hypertension in health systems.
Evidence and Resources | Resources: Million Hearts |
Age Range | Adult, with a focus over 45 years |
Social Determinants Addressed |
Health Care |
Lead Sectors |
Healthcare Delivery system Insurers |
Contributing Sectors |
Governmental Public Health Agencies |
Intermediate-level Measure Example |
|
4.2.2 Promote testing for prediabetes and risk for future diabetes in asymptomatic people in adults of any age with obesity and overweight (BMI 25 kg/m2 or 23 kg/m2 in Asian Americans) and who have one or more additional risk factors for diabetes, including first degree relative with diabetes, high risk race/ethnicity, and history of cardiovascular disease. Promote testing for all other patients beginning at 45 years of age. Promote repeat testing at a minimum of 3-year intervals, with consideration of more frequent testing depending on initial results and risk status.
Evidence and Resources | Resources: |
Age Range | Adult, with a focus over 45 years |
Social Determinants Addressed |
Health Care |
Lead Sectors |
Healthcare Delivery system Insurers |
Contributing Sectors |
Governmental Public Health Agencies |
Intermediate-level Measure Example |
|
Goal 4.3 Promote evidence-based care to prevent and manage chronic diseases including asthma, arthritis, cardiovascular disease, diabetes and prediabetes and obesity
Objectives: By December 31, 2024
4.3.1 Decrease the percentage of adult members with diabetes whose most recent HbA1c level indicated poor control (>9%)
Target | 26.6% [HMO]; 31.4% [MMC] |
Baseline | 28% [HMO]; 33% [MMC] |
Baseline Year | 2016 |
Data Source | QARR |
Data Level | state (by health plan, age, race/ethnicity) |
4.3.2 Decrease the percentage of adult Black Medicaid members with diabetes whose most recent HbA1c level indicated poor control (>9%)
Target | 38.0% |
Baseline | 40.0% |
Baseline Year | 2016 |
Data Source | QARR |
Data Level | state (by health plan) |
4.3.3 Decrease the percentage of adult Medicaid members aged 18-44 with diabetes whose most recent HbA1c level indicated poor control (>9%)
Target | 39.0% |
Baseline | 41.0% |
Baseline Year | 2016 |
Data Source | QARR |
Data Level | state (by health plan) |
4.3.4 Increase the percentage of adult members who had hypertension whose blood pressure was adequately controlled during the measurement year
Target | 66.2% [HMO]; 65.1% [MMC] |
Baseline | 63% [HMO]; 62% [MMC] |
Baseline Year | 2016 |
Data Source | QARR |
Data Level | state (by health plan, age, race/ethnicity) |
4.3.5 Increase the percentage of adult Black Medicaid members who had hypertension whose blood pressure was adequately controlled during the measurement year
Target | 56.7% |
Baseline | 54.0% |
Baseline Year | 2016 |
Data Source | QARR |
Data Level | state (by health plan) |
4.3.6 Increase the percentage of adult Medicaid members 18-44 who had hypertension whose blood pressure was adequately controlled during the measurement year
Target | 52.5% |
Baseline | 50.0% |
Baseline Year | 2016 |
Data Source | QARR |
Data Level | state (by health plan) |
4.3.7 Decrease the Asthma ED visit rate per 10,000 for those aged 0-4, 0-17, and all age groups
Target | 0-4: 175.8; 0-17: 131.1; all: 73.0 |
Baseline | 0-4: 185.1; 0-17: 138.0; all: 76.8 |
Baseline Year | 2016 |
Data Source | SPARCS |
Data Level | Statewide; County |
4.3.8 Decrease the Asthma hospitalization rate per 10,000 for those aged 0-4, 0-17, and all age groups
Target | 0-4: 38.6; 0-17: 21.2; all: 9.6 |
Baseline | 0-4: 42.9; 0-17: 23.5; all: 10.7 |
Baseline Year | 2016 |
Data Source | SPARCS |
Data Level | Statewide; County |
4.3.9 Increase the percentage of members (ages 5-64) who were identified as having persistent asthma and were dispensed appropriate asthma controller medications for at least 50% of the treatment period during the measurement year
Target | 5-18: 59%; 19-64: 75% |
Baseline | 5-18: 54%; 19-64: 68% |
Baseline Year | 2016 |
Data Source | QARR |
Data Level | Statewide; health plan; county |
4.3.10 Increase the percentage of members (ages 5-64), who were identified as having persistent asthma and had a ratio of controller medications to total asthma medications of 0.50 or greater during the measurement year
Target | 5-18: 69%; 19-64: 62% |
Baseline | 5-18: 63%; 19-64: 56% |
Baseline Year | 2016 |
Data Source | QARR |
Data Level | Statewide; health plan; county |
4.3.11 Increase the percentage of adults with HTN who are currently taking medicine to manage their high blood pressure
Target | 80.70% |
Baseline | 76.9% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by gender, race/ethnicity, income and region), and by county |
4.3.12 Increase the percentage of adults with arthritis who have been told by their doctor or health professional to be physically active/exercise to help with arthritis or joint symptoms by 5%
Target | 66.6% |
Baseline | 63.4% |
Baseline Year | 2015 |
Data Source | BRFSS |
Data Level | state (by gender, age, region) |
Interventions
4.3.1 Promote a team-based approach (which may include pharmacist, community health worker, registered dietitian, podiatrist, and other health workers) to chronic disease care to improve health outcomes.
Evidence and Resources | Resources: |
Age Range | All ages |
Social Determinants Addressed |
Health Care |
Lead Sectors |
Healthcare Delivery system |
Contributing Sectors |
Governmental Public Health Agencies Insurers |
Intermediate-level Measure Example |
|
4.3.2 Promote evidence-based medical management in accordance with national guidelines.
Evidence and Resources | Resources:
|
Age Range | All ages |
Social Determinants Addressed |
Health Care |
Lead Sectors |
Healthcare Delivery system |
Contributing Sectors |
Governmental Public Health Agencies Insurers |
Intermediate-level Measure Example |
|
4.3.3 Promote the use of Health Information Technology for: Measurement, Registry Development, Patient Alerts, Bi-Directional Referrals, Reporting.
Evidence and Resources | Resources: Merit-Based Incentive Payment System (MIPS) |
Age Range | All ages |
Social Determinants Addressed |
Health Care |
Lead Sectors |
Healthcare Delivery system |
Contributing Sectors |
Governmental Public Health Agencies Insurers |
Intermediate-level Measure Example |
|
4.3.4 Promote strategies that improve access and adherence to medications and devices.
Evidence and Resources | Resources:
|
Age Range | All ages |
Social Determinants Addressed |
Health Care |
Lead Sectors |
Healthcare Delivery system |
Contributing Sectors |
Governmental Public Health Agencies Insurers |
Intermediate-level Measure Example |
|
4.3.5 Promote referral of patients with prediabetes to an intensive behavioral lifestyle intervention program modeled on the Diabetes Prevention Program to achieve and maintain 5% to 7% loss of initial body weight and increase moderate-intensity physical activity (such as brisk walking) to at least 150 min/week.
Evidence and Resources | Resources: http://clinical.diabetesjournals.org/content/36/1/14 |
Age Range | Adults, including those over 65 years old. |
Social Determinants Addressed |
Health Care |
Lead Sectors |
Healthcare Delivery system |
Contributing Sectors |
Governmental Public Health Agencies Insurers CBOs and Human service agencies |
Intermediate-level Measure Example |
|
4.3.6 Counsel and refer patients with arthritis to increase physical activity, including participation in arthritis-appropriate evidence-based interventions and walking.
Evidence and Resources | Resources: https://www.cdc.gov/mmwr/volumes/67/wr/mm6717a2.htm?s_cid=mm6717a2 |
Age Range | Adults with arthritis, including those over 65 years old. |
Social Determinants Addressed |
Health Care |
Lead Sectors |
Healthcare Delivery system |
Contributing Sectors |
Governmental Public Health Agencies Employers, businesses and unions Insurers Media Colleges and Universities Community or neighborhood residents CBOs and Human service agencies Policy makers and elected officials Transportation agencies Housing agencies Natural environment agencies Urban planning agencies |
Intermediate-level Measure Example |
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Goal 4.4 In the community setting, improve self-management skills for individuals with chronic diseases, including asthma, arthritis, cardiovascular disease, diabetes and prediabetes and obesity
Objectives: By December 31, 2024
4.4.1 Increase the percentage of adults with chronic conditions (arthritis, asthma, CVD, diabetes, CKD, cancer) who have taken a course or class to learn how to manage their condition
Target | 10.60% |
Baseline | 10.1% |
Baseline Year | 2016 |
Data Source | BRFSS |
Data Level | state (by gender, age, race/ethnicity, income), and by county |
4.4.2 Increase the percentage of children (0-17) and adults (18+) with asthma who were ever given an asthma action plan by a doctor or health professional by 10% in both groups
Target | 0-17: 53.1%; 18+: 26.6% |
Baseline | 0-17: 48.3%; 18+: 24.21% |
Baseline Year | 2011-2013 (0-17); 2014 (18+) |
Data Source | BRFSS Asthma Call-Back Survey |
Data Level | State |
Interventions
4.4.1 Expand access to home-based multi-trigger, multicomponent visits by licensed professionals or qualified lay health workers to provide targeted, intensive asthma self-management education and to reduce home asthma triggers for individuals whose asthma is not well-controlled with NAEPP Guidelines' medical management and asthma self-management education (ASME).
Evidence and Resources | Resources: |
Age Range | All, with focus on ages 0-17 |
Social Determinants Addressed |
Housing Health Care |
Lead Sectors |
CBOs and Human service agencies |
Contributing Sectors |
Governmental Public Health Agencies Employers, businesses and unions Insurers Media Colleges and Universities Community or neighborhood residents Policy makers and elected officials Transportation agencies Housing agencies Economic development agencies |
Intermediate-level Measure Example |
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4.4.2 Expand access to evidence-based self-management interventions for individuals with chronic disease (arthritis, asthma, cardiovascular disease, diabetes, prediabetes, and obesity) whose condition(s) is not well-controlled with guidelines-based medical management alone.
Evidence and Resources | Resources: |
Age Range | All, including those over 65 years old and children age 0-17 for asthma only |
Social Determinants Addressed |
Health Care |
Lead Sectors |
CBOs and Human service agencies |
Contributing Sectors |
Governmental Public Health Agencies Employers, businesses and unions Insurers Colleges and Universities Community or neighborhood residents Policy makers and elected officials Transportation agencies Housing agencies Economic development agencies |
Intermediate-level Measure Example |
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4.4.3 Expand access to the National Diabetes Prevention Program (National DPP), a lifestyle change program for preventing type 2 diabetes.
Evidence and Resources | Resources: https://www.cdc.gov/sixeighteen/diabetes/index.htm |
Age Range | Adults, including those over 65 years old. |
Social Determinants Addressed |
Health Care |
Lead Sectors |
CBOs and Human service agencies |
Contributing Sectors |
Governmental Public Health Agencies Employers, businesses and unions Insurers Community or neighborhood residents |
Intermediate-level Measure Example |
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