NR 601 Week 1 Health Inequities
Discussion
Purpose
The purpose of the graded collaborative discussions is to engage faculty and students in an interactive dialogue to assist the student in organizing, integrating, applying, and critically appraising scholarly literature. Meaningful dialogue among faculty and students fosters the development of a learning community as ideas, perspectives, and knowledge are shared. This discussion will support the professional formation of the nurse practitioner role.
Course Outcomes
This discussion enables the student to meet the following course outcomes:
- CO 1: Employ appropriate health promotion guidelines and disease prevention strategies in the management of mature and aging individuals and families.
- CO 4: Integrate theory and evidence-based practice in the care of mature and aging individuals and their families.
- CO 5: Assess and manage risk factors for common conditions prevalent in mature and aging individuals and families.
Due Date
Initial posts are due to the discussion board by Wednesday at 11:59 p.m. MT. Instructor and peer responses are due by Sunday at 11:59 p.m. MT. Students must post on a minimum of two separate days. A 10% late penalty will be imposed for discussions posted after the deadline Wednesday at 11:59 p.m. MT, regardless of the number of days late. NOTHING will be accepted after 11:59 p.m. MT on Sunday (i.e., the student will receive an automatic 0).
Total Points Possible
This discussion is worth a total of 50 points.
Preparing the Discussion
Follow these guidelines when completing each component of the assignment. Contact your course faculty if you have questions.
Health inequities result in poor health outcomes creating a burden on clients, families, and communities. One of the areas of impact is in life expectancy. Several factors impact life expectancy, including genetics, race, socioeconomic status, and lifestyle choices. Surprisingly, one of the most significant predictors of life expectancy is zip code. View this brief videoLinks to an external site. on the correlation of zip code to life expectancy. Then, follow the directions below to gather information for your initial discussion post. You may gather information for your home county or for the area in which you intend to practice
Application of Course Knowledge
- Describe county-level demographics:
- Visit the United States Census Bureau website
- Use the Geography filter in the left menu. Select your state and county. Click the SEARCH button.
- View the profile for your county. The link may be found under the county map.
- Identify your county and state. Briefly describe demographic data for your county, including total population, median income, percentage of residents with health insurance,
poverty percentage, and one additional demographic. Compare the data to state averages and discuss your findings.
Evaluatelife expectancy data:
- Access the NCHS Data Visualization Gallery site
- Select your state and county from the dropdown menus on the interactive map.
- Find the census tract with the highest life expectancy and the tract with the lowest life expectancy within your county. Compare these rates with the state and national
averages. - Identify and describe demographic factors in the selected county that may play a role in life
expectancy. - Explain the implications of this data for your future practice.
Integration of Evidence: Integrate relevant scholarly sources as defined by program expectations:
- Cite a scholarly source in the initial post.
- Cite a scholarly source in one peer post.
- Accurately analyze, synthesize, and/or apply principles from evidence with no more than one short quote (15 words or less) for the week.
- Include a minimum of two different scholarly sources per week. Cite all references and provide
references for all citations.
Engagement in Meaningful Dialogue: Engage peers and faculty by asking questions, and offering new insights, applications, perspectives, information, or implications for practice.
- Peer Response: Respond to at least one peer.
- Faculty Response: Respond to at least one faculty post.
- Communicate using respectful, collegial language and terminology appropriate to advanced nursing practice.
Professionalism in Communication: Communicate with minimal errors in English grammar, spelling, syntax, and punctuation.
Reference Citation: Use current APA format to format citations and references and is free of errors.
Wednesday Participation Requirement: Provide a substantive response to the graded discussion topic (not a response to a peer or faculty), by Wednesday, and
11:59 p.m. MT of each week.
Total Participation Requirement: Provide at least three substantive posts (one to the initial question or topic, one to a student peer, and one to a faculty question) on two different days during the week.
**To view the grading criteria/rubric, please click on the 3 dots in the box at the end of the solid gray bar above the discussion board title and then Show Rubric.
Sample Discussion Post
| California | |
Total population | 10,014,009 | 39,538,223 |
Median income | $82,516 | $91,551 |
% with health | 91.8% | 93.5% |
% in poverty | 13.9% | 12.2% |
Employment rate | 61.2% | 60% |
Los Angeles County and the state of California as a whole have very comparable statistics in terms of median income, percentage of individuals with health insurance, those living in poverty and the employment rate. As a resident of Los Angeles County for the last ten years, I was very surprised to see that it is not listed in the top 10 most expensive counties in the state, which explains the difference in median income for LA county at $82,516 and that of the whole state at $91,551 (U.S. Census Bureau, 2024). Santa Clara County has the highest median income at $140,258 and the county in tenth (Taylor, 2023). Overall, Los Angeles County has a large concentration of its population with employment and adequate healthcare coverage. It was slightly concerning to see the percentage of those living in poverty was higher than the state average, which I can only imagine
is attributed to the high cost of living.
Evaluate life expectancy data
After reviewing the data for Los Angeles County, census tract 4817.11 had the highest life expectancy at 93.3 and tract 2410.02 had the lowest life expectancy at 68.8. The state of California’s highest life
expectancy is 79 coming in second only to Hawaii with a rate of 80.7 years. Mississippi has the lowest highest life expectancy at only 74. years (CDC, 2020). Demographic factors that play a role in life expectancy include race, gender, age, literacy, education level, poverty and income. Los Angeles County has a 13.9% poverty rate, almost 2% more than the state of California as a whole. It also has almost 2% less of individuals with health insurance coverage. While these statistics may allude to lower life expectancies, I was pleasantly surprised to see that the census tract 4817.11 had a life expectancy of 93.3 years of age. Conceptualizing a county based on demographic data such as
the stats listed above can help providers understand where the holes exist in adequate care, and how to fix them. Targeting the 13.9% of individuals living in poverty and assisting them with access to healthcare and employment is a great starting point. As a provider, I will help patients understand the importance of primary and secondary screenings to prevent long-term health complications and
will do this through education and free clinics. I believe these numbers can be flexible if a proper plan is put into place and executed.
References:
Centers for Disease Control and Prevention. (2020, March 9). Life expectancy data viz. Centers for Disease Control and Prevention. https://www.cdc.gov/nchs/data-visualization/life-expectancy/
Taylor, B. (2023, July 18). These are the 10 wealthiest counties in California, according to new median income ranking. Yahoo! News.
U.S. Census Bureau. (2024). California. Explore census data. https://data.census.gov/profile/Los_Angeles_County,_California?g=050XX00US06037
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