Leading Culturally and Linguistically Appropriate Healthcare Throughout the cour

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Leading Culturally and Linguistically Appropriate Healthcare
Throughout the course, you’ll use the map below to engage important population health concepts. Click on each hot spot to learn more about the population in that area.
This week, you discovered that the focus of healthcare has a growing emphasis on population health. Emphasis on quality improvement and tracking outcomes has led to exploring “why?” Why do some patients have trouble controlling their diabetes? Why do so some pediatric diabetic patients show up in the emergency department with an uncontrolled episode? These questions have led the DNP scholar and other healthcare providers to consider the social determinants of health. This query also requires that consideration be given to “how?” How do healthcare providers improve outcomes for a given population? Explore these questions as they relate to the populations represented on the interactive map below.
Select one of the populations on the map and address the following:
Create a culturagram for your selected population. Refer to Week 1, Explore page 2, for guidance in creating a culturagram. You may use the attached template, if you desire.
Conduct a search for evidence. Identify one evidence-based intervention to reduce health disparities in the selected population.
Consider how the selected intervention addresses at least one of the CLAS standards.(Culturally and Linguistically Appropriate Service (CLAS) Standards for Healthcare Organizations
Share your professional experience related to the topic.)
https://lms.courselearn.net/lms/content/1570/57436/NR704/culturalgram11_19.docx
Culturagram Template Link (Links to an external site.)
Torrance, California
Culture of interest – Asian
Population – 50,240
Individuals diagnosed with heart disease prior to the study year – 1229
age 30 – 3
age 35 – 12
age 40 – 99
age 45 – 136
age 50 – 153
age 55 – 177
age 60 – 295
age 65 – 354
Individuals newly diagnosed with heart disease in the study year – 498
Age 45 – 4
Age 50 – 31
Age 55 – 130
Age 60 – 132
Age 65 – 201
Individuals who died of heart disease in the study year – 379
Age 55 – 98
Age 60 – 131
Age 65 – 150
Average years of life expectancy reduction due to heart disease – 10

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