HEALTH EQUITY SCORECARD GALLATIN COUNTY

INTRODUCTION

The equity scorecard is a tool and resource for evaluating how the various geographical, economic, and population make-up affect the health of a particular area or group. Inequities can be found in people of varying races and ethnicities, as well as in people who live in a particular geography, regardless of race or ethnicity. The scorecard framework is aligned with social determinants of health and will aide in the development of practical strategies to assist with implementing institutional change that will lead to equitable health outcomes for all persons.

CENSUS TRACTS

Census tracts are small, permanent statistical subdivisions of a county. Each is uniquely numbered with a numeric code. Each tract generally averages about 4,000 inhabitants with a minimum population of 1,200 and a maximum of 8,000.

POPULATION

Understanding the data: Each number highlighted in red indicates the highest ratio and green represents the lowest ratio of the population to whites for the geographic area measured. Higher areas of segregation are often associated with poorer health outcomes and equity.

Indicator Measure Years Type CT9601.02 CT9601.03 CT9601.04
Population White 2018-21 Quantity 2,318 1,757 3,768
Black/African American 2018-21 Quantity 19 86 93
Other Race(s) 2018-21 Quantity 100 288 251
Hispanic 2018-21 Quantity 111 125 218
Not Hispanic 2018-21 Quantity 2,326 2,020 3,894
Ratio of Whites to each African American Resident 2018-21 Ratio 122 20 41
Ratio of Whites to each Other Race Resident 2018-21 Ratio 23 6 15
Ratio of Not Hispanic to each Hispanic Resident 2018-21 Ratio 21 14 17
Community Dissimilarity Index 2018-21 Index 0.75 0.66 0.62

Observations

  • The distribution of the ratio of African American population is primarily segregated in Census Tract 9601.03, Warsaw, where the ratio of Whites to African Americans is 20 to 1. Conversely, there are 122 whites per African American in CT 9601.02.

  • To completely desegregate Gallatin County, 40 African Americans would need to move into CT 9601.02 and 2 into CT 9601.4 from the Warsaw area in CT 9601.03. It is important to note however that segregation can occur in smaller geographic areas including neighborhoods or even streets. Consequently, simply increasing the population dispersal by census tract may have little to no impact on health status and/or segregation. Given the rurality of the county and the size of the population, neighborhood and street level data is not available.

EDUCATION AND INCOME

Understanding the data: There is generally a direct correlation between level of education and median household income for a population. Income affects health in a variety of ways including access to care, higher rates of obesity, and higher rates of smoking all of which are linked with poorer health outcomes.

The gini index measures the distribution of income across a population. The higher the index value, the less income is spread across the population and the more income fewer people have than the majority of the population.

IndicatorMeasureYearsTypeCT9601.02CT9601.03CT9601.04
IncomeMedian HH Income2018-21Dollars-16-6,9784,078
 Inequality Index – Gini2018-21Index0.41880.37560.3889
EducationIndividuals 25 and over with no high school diploma2018-21Percent18.816.411.8

Observations

  • Persons living in CT 9601.03 are at a significant economic disadvantage when compared with the median household income for Gallatin County, having a median household income of -$6,978 less than the average Gallatin County household.

  • Income is spread most equally among households in CT 9601.03 with a Gini index of .38 which measures the dispersion of income across the entire income distribution. Where 0 is perfect income distribution and 1 is perfect inequitable distribution. The U.S. Gini index 5-year estimates for 2018-21 is .4848 and Kentucky is .4767. Gallatin County has a more equitable distribution of income than Kentucky and the nation.

HOUSING

Understanding the data: Poor housing quality and inadequate conditions such as overcrowding, incomplete or the lack of a kitchen, and access to a vehicle can lead to poorer health outcomes including chronic disease and injury. Areas with higher rates suffer more disadvantages that can affect health outcomes than in other areas of the same population.

IndicatorMeasureYearsTypeCT9601.02CT9601.03CT9601.04
HousingHomeowner with a mortgage 35% or more of HH Income2018-21Percent28.24.99.9
 Homeowner without mortgage 35% or more of HH Income2018-21Percent9.37.05.3
 Rental costs 35% or more of HH income2018-21Percent45.020.644.9
 Occupied housing units without access to a vehicle2018-21Percent4.810.31.2
 Occupied housing units lacking a complete kitchen2018-21Percent3.10.40.8
 Occupied housing units with more than 1.51 occupants per room2018-21Percent0.001.00.1
 Proportion of children under 18 in single parent household2018-21Percent3.040.057.0
 Median owner-occupied housing unit value2018-21Dollars118,400130,200155,000

Observations

  • Fifty-seven percent of children under 18 living in a single parent household live in CT 9601.04.
  • Those living in the area of CT 9601.03 including Warsaw have 10.6% of households without access to a vehicle.
  • Additionally, 28.2% of households having a mortgage that is more than 35% of their household income and live in CT 9601.02.

HEALTH STATUS AND HEALTH RISK BEHAVIORS

Understanding the data: Each measure highlighted in red reflects poorer health status, less compliance with prevention services and higher rates of the population participating in risky health behaviors.

A population’s current health status and health risk behaviors are good indicators for identifying opportunities for action to help improve health outcomes.

Indicator Measure Years Type CT9601.02 CT9601.03 & .04
Health Status Physical health not good for >=14 days among adults aged >=18 years 2020 Percent 14.5 14.9
Fair or poor self-rated health status among adults aged >=18 years 2020 Percent 69.7 22.0
Mental health not good for >=14 days among adults aged >=18 years 2020 Percent 19.3 19.2
Prevention Cervical cancer screening among adult women aged 21-65 years 2020 Percent 79.9 80.2
Cholesterol screening among adults aged >=18 years 2019 Percent 88.4 88.8
Fecal occult blood test, sigmoidoscopy, or colonoscopy among adults aged 50-75 years 2020 Percent 69.7 69.8
Mammography use among women aged 50-74 years 2020 Percent 71.9 71.9
Older adult men aged >=65 years who are up to date on a core set of clinical preventive services: Flu shot past year, PPV shot ever, Colorectal cancer screening 2020 Percent 40.9 40.7
Older adult women aged >=65 years who are up to date on a core set of clinical preventive services: Flu shot past year, PPV shot ever, Colorectal cancer screening, and Mammogram past 2 years 2020 Percent 36.5 34.8
Taking medicine for high blood pressure control among adults aged >=18 years with high blood pressure 2019 Percent 75.8 76.7
Visits to dentist or dental clinic among adults aged >=18 years 2020 Percent 51.8 51.4
Visits to doctor for routine checkup within the past year among adults aged >=18 years 2020 Percent 73.6 74.5
Current lack of health insurance among adults aged 18-64 years 2020 Percent 11.8 12.0
Health Risk Behaviors Binge drinking among adults aged >=18 years 2020 Percent 16.4 15.5
Current smoking among adults aged >=18 years 2020 Percent 27.1 25.6
No leisure-time physical activity among adults aged >=18 years 2020 Percent 32.7 33.3
Sleeping less than 7 hours among adults aged >=18 years 2020 Percent 39.5 38.9

Observations

  • A portion Census Tract 9601.02 was redistricted into 9601.03 and 9601.01 became Census Tract 9601.04 as of the 2020 census. As such the Warsaw area is incorporated into the Concord are of CT 9601.02 for these measures.
  • Those living in 9601.02 have higher rates of health risk behaviors such as binge drinking, and smoking and poorer self-reported health status than those living in the other areas of the county.

HEALTH OUTCOMES

Understanding the data: Health outcomes are those conditions or events that occur as a result of lack of intervention, poor health behaviors, and other social determinants of health that affect one’s health status. Outcomes can have a direct impact on one’s overall health. As an example, those who have strokes can lose their ability to care for themselves, experience paralysis, and lose their ability to get exercise resulting in obesity and additional health issues.

 
Indicator Measure Years Type CT9601.02 CT9601.03 & .04
Health Outcomes All teeth lost among adults aged >=65 years 2020 Percent 19.2 20.6
Arthritis among adults aged >=18 years 2020 Percent 30.4 31.1
Cancer (excluding skin cancer) among adults aged >=18 years 2020 Percent 5.8 6.2
Chronic kidney disease among adults aged >=18 years 2020 Percent 2.8 3.1
Chronic obstructive pulmonary disease among adults aged >=18 years 2020 Percent 10.6 10.9
Coronary heart disease among adults aged >=18 years 2019 Percent 6.9 7.4
Current asthma among adults aged >=18 years 2020 Percent 11.3 11.6
Depression among adults aged >=18 years 2020 Percent 26.8 26.7
Diagnosed diabetes among adults aged >=18 years 2020 Percent 11.4 12.0
High blood pressure among adults aged >=18 years 2019 Percent 39.1 39.8
High cholesterol among adults aged >=18 years who have been screened in the past 5 years 2019 Percent 36.4 36.4
Obesity among adults aged >=18 years 2020 Percent 39.2 39.1
Stroke among adults aged >=18 years 2020 Percent 3.2 3.5

Observations

  • Persons living in CT 9601.03 and 9601.04 have the poorest health outcomes in the county ranking highest in 10 out of the 13 health outcomes.

MORTALITY

Understanding the data: Ratios are a comparison between two numbers. In this case we are comparing the rate at which the dominant race dies from a particular cause with the rate of which another race dies from the same cause. For example: 6.5 African Americans die for every white person that dies from hypertension or hypertensive renal disease.

Indicator Measure Years Type Whites African American/Black Other Races
Cause of death #Diseases of heart (I00-I09,I11,I13,I20-I51) 1999-20 Ratio 1 1.5 0.3
#Malignant neoplasms (C00-C97)  1999-20 Ratio 1 0.7 0.0
#Accidents (unintentional injuries) (V01-X59,Y85-Y86)  1999-20 Ratio 1 0.7 0.0
#Chronic lower respiratory diseases (J40-J47)  1999-20 Ratio 1 0.0 0.0
#Alzheimer disease (G30)  1999-20 Ratio 1 0.7 1.8
#Diabetes mellitus (E10-E14)  1999-20 Ratio 1 0.0 0.0
#Cerebrovascular diseases (I60-I69)  1999-20 Ratio 1 0.9 0.0
#Influenza and pneumonia (J09-J18)  1999-20 Ratio 1 0.0 0.0
#Intentional self-harm (suicide) (*U03,X60-X84,Y87.0)  1999-20 Ratio 1 0.0 0.0
#Nephritis, nephrotic syndrome and nephrosis (N00-N07, N17-N19, N25-N27) Ratio 1 3.1 0.0
#Chronic liver disease and cirrhosis (K70,K73-K74)  1999-20 Ratio 1 0.0 0.0
#Septicemia (A40-A41)  1999-20 Ratio 1 0.0 0.0
#Parkinson disease (G20-G21)  1999-20 Ratio 1 0.0 0.0
#Aortica aneurysm and dissection (I71)  1999-20 Ratio 1 0.0 0.0
#Essential hypertension and hypertensive renal disease (I10,I12,I15) Ratio 1 0.0 0.0
 

Observations

  • Of note is the ratio of deaths from Nephritis, nephrotic syndrome, and nephrosis among the African American population whereby 3.1 blacks die for each white from the same cause.
  • Additionally, those of races other than White and African American die from Alzheimer’s Disease 1.8 times for every White that dies from Alzheimer’s.
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