Understanding of Care and County Race Demographics

Purpose

This assessment aims to determine if there is a difference in the relationship between the percentage of the population that reported they strongly understood discharge instructions and the percentage for the race categories at the county level.

Language-based barriers, and race and ethnicity disparities exist in health care (HCUP, 2016). Studies have shown persistent disparities regarding effective treatment, care coordination, patient safety, person-centered care, healthy living, and care affordability based on race and ethnicity (AHRQ, 2018, Carratala, 2020). Research has demonstrated an association between socioeconomic status and health status, as well as the complexities of the socioeconomic status and race/ethnicity interplay on health outcomes (Anderson et al., 2004, Evans et al., 2016). Studies have identified a relationship between various social and environmental factors and health outcomes, including the risk of COVID-19 (Rubin, 2016, Henning-Smith et al., 2020). Health disparities are significantly related to factors such as education, race, ethnicity, and occupation, which continue to be measured as the U.S. implements change (Adler & Cutler, 2016, Artiga, 2019).

This scenario includes benchmarks for each appropriate variable. State-level benchmarks are accessible by filtering by state. Scenarios with multiple outcome variables require filtering by the specific outcome to return the corresponding benchmarks.

This data is also available as an Excel spreadsheet.

Understanding Care Race Demos 2022.xlsx (471.22 KB)

Tutorial Video
Data Sources
Defining The Columns

This tutorial video looks at the Understanding of Care and County Race Demographics. The video guides you through how to use Tableau data analysis to compare them to determine if there is a difference in the relationship between the percentage of the population that reported they strongly understood discharge instructions and the percentage for the race categories at the county level.

Understanding of Care and County Race Demographics Tutorial Video

Hospital Compare - Patient Surveys - HCAHPS (data released January 2022)

County Health Ranking (data released 2022)

A blank entry indicates unreported data. A value of zero is defined and does not represent unreported data.

State: The abbreviation of the state where the hospital is located.

County: The name of the county where the hospital is located. County names are listed on the U.S. Census Bureau's 2020 FIPS Codes for Counties and County Equivalent Entities.

Hospital: The name of the hospital.

Percent Strongly Agree Understood Care: The percentage of patients who reported on the HCAHPS survey that they "Strongly Agree" understood their care when they left the hospital. This data is from the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey about patient experience and satisfaction. The reporting period for this measure is January 1, 2019, through December 31, 2019.

Number of Completed Surveys: The number of completed HCAHPS surveys by patients for the specific hospital. The number must be greater than 25 to be reported.

Percent Asian: The proportion of the county's population that falls into the racial or ethnic category of Asian from the U.S. Census Bureau Population Estimates from 2019.

Percent Black: The proportion of the county's population that falls into the racial or ethnic category of Black from the U.S. Census Bureau Population Estimates from 2019.

Percent Hispanic: The proportion of the county's population that falls into the racial or ethnic category of Hispanic from the U.S. Census Bureau Population Estimates from 2019.

Percent Native Hawaiian or Other Pacific Islander: The proportion of the county's population that falls into the racial or ethnic category of Native Hawaiian or Other Pacific Islander from the U.S. Census Bureau Population Estimates from 2019.

Percent Native American: The proportion of the county's population falling into the racial or ethnic category of Native American from the U.S. Census Bureau Population Estimates from 2019.

Percent White: The proportion of the county's population that falls into the racial or ethnic category of White from the U.S. Census Bureau Population Estimates from 2019