NR 436 Week 2 Practicum Project Assignment: Health Promotion Data Collection and Analysis
Part 1: Demographic Data Collection
Directions:
- Access the U.S. Census Bureau Quick Fact. https://www.census.gov/quickfacts/fact/table/US/PST045218
- S. data will automatically populate. Locate the U.S. demographic data to complete all sections of the table below.
- At the top of the U.S. Census Bureau website, enter your zip code or county/township name. The data will populate. Locate the related demographic data to complete all sections of the table below.
- At the topic of the U.S. Census Bureau website, enter your state. The data will populate. Locate the related demographic data to complete all sections of the table below.
Data source: United States Census Bureau (n.d). Quick facts
| Demographic Data | County Data | State Data | U.S. Data |
| Population total | 4,835,125 | 30,503, 301 | 334,914, 985 |
| Male (subtract female % from 100) | 49.6% | 49.9% | 49.5% |
| Female | 50.4% | 50.1% | 50.5% |
| Persons under 5 | 6.7% | 6.3% | 5.5% |
| Persons over 65 | 12.1% | 13.7% | 17.7% |
| Race and Origin | |||
| County Data | State Data | U.S. Data | |
| White alone | 67.8% | 76.8% | 75.3% |
| Black or African American alone | 21.1% | 13.6% | 13.7% |
| American Indian and Alaska Native alone | 1.2% | 1.1% | 1.3% |
| Asian alone | 7.7% | 6.0% | 6.4% |
| Native Hawaiian and other Pacific Islander alone | 0.1% | 0.2% | 0.3% |
| Two or more races | 2.1% | 2.3% | 3.1% |
| Hispanic or Latino | 44.1% | 39.8% | 19.5% |
| White alone, not Hispanic or Latino | 27.0% | 39.6% | 58.4% |
| Significant Population Characteristics | |||
| County Data | State Data | U.S. Data | |
| Veterans | 152,961 | 1,416,973 | 17,038, 807 |
| Foreign born persons | 26.2% | 17.1% | 13.7% |
| Housing Overview | |||
| County Data | State Data | U.S. Data | |
| Housing units | 1,952,966 | 12,395,364 | 145,344, 636 |
| Owner-occupied housing unit rate | 54.6% | 62.4% | 64.8% |
| Median selected monthly owner costs with a mortgage | $1,937 | $1,913 | $1,828 |
| Median selected monthly owner costs without a mortgage | $666 | $611 | $584 |
| Median value of owner-occupied housing units | $235,300 | $238,000 | $281,900 |
| Median gross rent | $1269 | $1,251 | $1268 |
| Family and Living Arrangements | |||
| County Data | State Data | U.S. Data | |
| Households | 1,692,896 | 10,490,553 | 125,736, 353 |
| Persons per household | 2.77 | 2.73 | 2.57 |
| Language other than English spoken at home | 44.8% | 35.1% | 21.7% |
| Computer and Internet Use | |||
| County Data | State Data | U.S. Data | |
| Households with a computer | 95.4% | 94.8% | 94.0% |
| Households with broadband internet subscription | 89.8% | 88.4% | 88.3% |
| Education | |||
| County Data | State Data | U.S. Data | |
| High school graduate or higher | 82.1% | 85.2% | 89.1% |
| Bachelor’s degree or higher | 33.2% | 32.3% | 34.3% |
| Health | |||
| County Data | State Data | U.S. Data | |
| Persons with a disability under age 65 years | 7.2% | 8.2% | 8.9% |
| Persons without health insurance under age 65 years | 22.2% | 18.7% | 9.5% |
| Economy | |||
| County Data | State Data | U.S. Data | |
| Civilian labor workforce ages 16+ | 67.3% | 64.6% | 63.0% |
| Transportation-mean travel time to work (minutes) | 29.0 | 26.6 | 26.7 |
| Income and Poverty | |||
| County Data | State Data | U.S. Data | |
| Median household income | $70,789 | $73,035 | $75,149 |
| Persons in poverty | 16.4% | 13.7% | 11.1% |
Part 2: Epidemiological Data Collection
Directions:
- Complete the table below using the epidemiological data collected from the Practicum Project: Sources of Data document or other professional sources. Include data from 2 different years for comparison, the number of people affected by your selected topic, and the source of the data.
Note: Available data may vary by location and topic. Complete the template as comprehensively as possible to demonstrate that the topic is a community health problem.
| Epidemiological Data | County Data | State Data | U.S. Data | World Data |
| Prevalence (how many people are affected by your selected topic)
|
Year: 2010
Number: 28% of the population (4 million)
Source: Understanding Houston
|
Year: 2010
Number: 5.5 million
Source: Texas Department of Health
|
Year: 2010
Number: 35.7% of U.S. adults (over 78 million people)
Source: CDC
|
Year: 2010
Number: approximately 500 million
Source: Nature Reviews Endocrinology
|
| Year: 2020/2021
Number: 36.5% of the population (4.7 million)
Source: Data Commons
|
Year: 2020/2021
Number: 7.9 million
Source: Texas Department of Health
|
Year: 2020/2021
Number: 40.3%
Source: NCHS Data Brief
|
Year: 2020/2021
Number: approximately 800 million
Source: World Health Organization
|
|
| Mortality (how many deaths are related to your selected topic)
|
Year: 2010
Number: 1.8 per 100,000
Source: National Library of Medicine
|
Year: 2010
Number: 1.8 per 100,000
Source: National Library of Medicine
|
Year: 2010
Number: 5542
Source: National Library of Medicine
|
Year: 2010
Number: 2.60 million
Source: Our World in Data
|
| Year: 2020/2021
Number: 3.1 per 100,000
Source: National Library of Medicine
|
Year: 2020/2021
Number: 3.1 per 100,000
Source: National Library of Medicine
|
Year: 2020/2021
Number: 10209
Source: National Library of Medicine
|
Year: 2020/2021
Number: 3.61 million
Source: Our World in Data
|
Part 3: Data Analysis
Directions:
Analyze the data collected in Parts 1 and 2 to answer the questions below. Answer all questions with explanations and detail.
Demographic Data Analysis
- In one or more paragraphs, compare the county, state, and national demographic data. How are they similar? How are they different?
The demographic data illustrates various similarities and differences in variables that influence population health, including the percentage of people in an area, education, poverty, and household income. The county, state, and national demographic data are similar in that there is no significant difference in persons per household (2.77, 2.73, 2.57), computer access (95.4%, 94.8%, 94.0%), and people with a bachelor’s degree or higher (33.2%, 32.3%, 34.3%) (United States Census Bureau, n.d.). From a health perspective, information and education influence healthy lifestyles and positive choices (Raghupathi & Raghupathi, 2020). Accordingly, their influence is similar at the county, state, and national levels based on the present data. Differences include the number of persons without insurance, where a significant gap between the county and national data can be witnessed. The other difference is the proportion of persons in poverty. Such variances necessitate policy measures, health promotion, and other interventions at the county and state levels to ensure health outcomes match or exceed the national benchmark.
Epidemiological Data Analysis
- In one or more paragraphs, compare the county, state, national, and world prevalence data. How are they similar? How are they different? Provide a citation for at least one scholarly source.
The prevalence of a disease shows the proportion of the burdened population and the number at risk of related illnesses. Regarding obesity, such illnesses include diabetes, heart disease, cancers, and stroke (Ritchie & Roser, 2024). Comparing the county, state, national, and world prevalence data signifies a critical health concern affecting a significant proportion of the population. More than one-third of the U.S. population is obese and millions of others in other parts of the world. For instance, statistics from Data Commons and evidence-based literature demonstrate obesity as a leading cause of chronic health problems within and outside the United States (Data Commons, 2024; Malike et al., 2020). The difference in the prevalence is in percentages (numbers), considering that 36.5 % of adults in Harris County are obese compared to 40.3% in the entire country. These differences are attributed to many factors, including lifestyles, health choices, and education.
- In one or more paragraphs, compare the county, state, national, and world mortality data. How are they similar? How are they different? Provide a citation for at least one scholarly source.
Mortality data reveals a health concern necessitating increased attention from governments, healthcare professionals, and other stakeholders. Emmerich et al. (2024) cited that obesity claimed 5,542 lives in 2010 and 10,209 in 2020, with present statistics showing 3.1 deaths per 100,000 people. Global data shows an issue response for 3.61 million deaths in 2020 (Ritchie & Roser, 2024). The mortality data demonstrates a public health issue affecting the county, state, nation, and the globe adversely by increasing healthcare burden, ruining life quality, and hampering productivity. The difference is only in the ratio, which can be attributed to inevitable differences in healthcare systems’ capacity, access to food, culture, and health practices around the world.
- In one or more paragraphs, compare the prevalence and mortality data across two different years. Explain if the public health concern is improving or worsening. Provide a citation for at least one scholarly source.
A comparative analysis of the data across two different years reveals a worsening public health concern. For instance, 2010’s prevalence data reveals that 35.7% of U.S. adults were obese, a number that reached 40.3% in 2020/2021 (Emmerich et al., 2024; Ritchie & Roser, 2024). The mortality rate follows a similar trend. This is because obesity claimed 1.8 per 100,000 people in 2020, a ratio that reached 3.1 per 100,000 in 2020 (Achara et al., 2024). This comparison shows a significant increase in the number of people and obesity-related deaths in a decade at all levels. The increase is worrying and requires intensified obesity prevention and health promotion measures to reduce its risk to future populations.
- In one or more paragraphs, explain which data is most important to share with other healthcare professionals. Provide a citation for at least one scholarly source.
Healthcare professionals should have adequate knowledge on both the prevalence and mortality data. However, the most important to share with them is the prevalence data, including the two-year differences. Such data will be the basis of health promotion, advocacy, and educational programs in healthcare facilities and communities to empower populations and enable them to make informed health decisions. Jointly, these interventions and policy measures can prevent obesity and reduce mortality proportionately.
Conclusion
Data reveals the health state of a nation and guides healthcare stakeholders in implementing evidence-based measures for addressing risk factors. The epidemiological data shows differences in social determinants of health like education, health insurance, poverty, and information access at different levels. The prevalence and mortality data illustrate obesity as a severe public health concern that has worsened in the past decade. Healthcare professionals, governments, and policymakers can use this data to institute health promotion programs for obesity prevention to achieve a healthy and productive populace.
References
Achara, K. E., Iyayi, I. R., Erinne, O. C., Odutola, O. D., Ogbebor, U. P., Utulor, S. N., … & Okobi, O. E. (2024). Trends and patterns in obesity-related deaths in the US (2010–2020): A comprehensive analysis using Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) Data. Cureus, 16(9): e68376. doi: 10.7759/cureus.68376
Data Commons. (2024). Harris County. https://datacommons.org/place/geoId/48201
Emmerich, S. D., Fryar, C. D., Stierman, B., & Ogden, C. L. (2024). Obesity and severe obesity prevalence in adults: United States, august 2021–august 2023. NCHS Data Brief. https://www.cdc.gov/nchs/data/databriefs/db508.pdf
Malik, V. S., Willet, W. C., & Hu, F. B. (2020). Nearly a decade on—trends, risk factors and policy implications in global obesity. Nature Reviews Endocrinology, 16(11), 615-616. https://doi.org/10.1038/s41574-020-00411-y
Raghupathi, V., & Raghupathi, W. (2020). The influence of education on health: an empirical assessment of OECD countries for the period 1995–2015. Archives of Public Health, 78, 1-18. https://doi.org/10.1186/s13690-020-00402-5
Ritchie, H., & Roser, M. (2024). Obesity. Our World in Data. https://ourworldindata.org/obesity
Texas Health and Human Services. (2024). Prevalence of obesity among adults, by demographic characteristics, risk factors/comorbid conditions, and place of residence, Texas, 2020. https://www.google.com/url?client=internal-element-cse&cx=a3f3408b7d24d8336&q=https://www.dshs.texas.gov/sites/default/files/uploadedFiles/Content/Prevention_and_Preparedness/obesity/pdf/2020-BRFSS-Obesity-Tables.pdf&sa=U&ved=2ahUKEwi37IGzvNGJAxVARaQEHfe5LGoQFnoECAoQAQ&usg=AOvVaw1AAhktboLxHBzNEGuTrv2F
United States Census Bureau. (n.d). Quick facts. https://www.census.gov/quickfacts/fact/table/harriscountytexas,US/PST045223?
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Health Promotion Data Collection and Analysis
Practicum Project Assignment
Purpose
The purpose of this assignment is to collect and analyze data for the Practicum Project. The aim of the Practicum Project is to advocate for community health through collaboration with licensed healthcare professionals and the provision of educational resources.
Course Outcomes
This assignment enables the student to meet the following course outcomes:
- CO 1: Apply principles of nursing to the public health system. (POs 1, 6)
- CO 2: Assess the health of populations, aggregates, and communities. (POs 3, 4)
- CO 3: Apply the nursing process to vulnerable populations with professional clinical judgment and evidence-based practice. (POs 4, 8)
Due Date
Students?must?complete the Week 2 Practicum Project: Health Promotion Data Collection and Analysis template and submit it to the Dropbox by Sunday?at?11:59?p.m.?MT.
Late Assignment Policy
Students are expected to submit assignments by the time they are due. Assignments submitted after the due date and time will receive a deduction as noted in the rubric below.
Total Points Possible
This assignment is worth a total of 155 points.
Preparing the Assignment
Follow these guidelines when completing each component of the assignment. Contact your course faculty if you have questions.
Directions
Use the selected topic from Week 1 to complete the Practicum Project: Health Promotion Data Collection and Analysis template, following the steps below.
- Download the Week 2 Practicum Project: Health Promotion Data Collection and Analysis templateLinks to an external site.. Use of the template is required. If the template is not used, a 10% deduction will be applied. See the rubric. Save the template and include your name in the file name.
- Download the Week 2 Practicum Project: Sources of Data documentLinks to an external site..
- Use the links provided in the Practicum Project: Sources of Data document and other professional sources to collect data on your practicum topic.
- Use the data collected from the Practicum Project: Sources of Data document and other professional sources to complete the Practicum Project: Health Promotion Data Collection and Analysis template.
- Correctly cite and reference ideas and information that come from scholarly literature.??Sources should be no more than five years old unless they are historical references.
- Follow rules of grammar, spelling, word usage, and punctuation consistent with formal, professional writing.??
- Abide by Chamberlain University’s academic integrity policy.
Include the following sections (detailed criteria listed below and in the grading rubric).
- Demographic Data
- Collect county data for all sections
- Collect state data for all sections
- Collect U.S. data for all sections
- Epidemiological Data Collection: Prevalence
- Collect county data for two years, including number, and source
- Collect state data for two years, including number, and source
- Collect U.S. data for two years, including number, and source
- Collect world data for two years, including number, and source
- Epidemiological Data Collection: Mortality
- Collect county data for two years, including number, and source
- Collect state data for two years, including number, and source
- Collect U.S. data for two years, including number, and source
- Collect world data for two years, including number, and source
- Demographic Data Analysis
- Compare county, state, and national data
- Explain how data are similar
- Explain how data are different
- Epidemiological Data Analysis: Prevalence
- Compare county, state, national, and world data
- Explain how data are similar
- Explain how data are different
- Provide a citation for at least one scholarly source
- Epidemiological Data Analysis: Mortality
- Compare county, state, national, and world data
- Explain how data are similar
- Explain how data are different
- Provide a citation for at least one scholarly source
- Epidemiological Data Analysis: Prevalence & Mortality
- Compare prevalence and mortality data across two years.
- Explain if the public health concern is improving or worsening.
- Provide a citation for at least one scholarly source.
- Data Analysis
- Identify which data is most important to share with other healthcare professionals.
- Provide a rationale.
- Provide a citation for at least one scholarly source.
Submit the completed Practicum Project: Health Promotion Data Collection and Analysis Template to the Week 2 Dropbox by Sunday at 11:59 p.m. MT.
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Rubric
NR436 Week 2 Practicum Project Assignment Rubric
| Criteria | Ratings | Pts | |||||
|---|---|---|---|---|---|---|---|
| This criterion is linked to a Learning OutcomeDemographic Data Collection3 Required Criteria?
1. Collect county data for all sections 2. Collect state data for all sections 3. Collect U.S. data for all sections |
|
15 pts | |||||
| This criterion is linked to a Learning OutcomeEpidemiological Data Collection: Prevalence4 Required Criteria?
1. Collect county data for two years, including number, and source 2. Collect state data for two years, including number, and source 3. Collect U.S. data for two years, including number, and source 4. Collect world data for two years, including number, and source |
|
20 pts | |||||
| This criterion is linked to a Learning OutcomeEpidemiological Data Collection: Mortality4 Required Criteria?
1. Collect county data for two years, including number, and source 2. Collect state data for two years, including number, and source 3. Collect U.S. data for two years, including number, and source 4. Collect world data for two years, including number, and source |
|
20 pts | |||||
| This criterion is linked to a Learning OutcomeDemographic Data Analysis3 Required Criteria?
1. Compare county, state, national, and world data 2. Explain how data are similar 3. Explain how data are different |
|
20 pts | |||||
| This criterion is linked to a Learning OutcomeEpidemiological Data Analysis: Prevalence4 Required Criteria
1. Compare county, state, national, and world data 2. Explain how data are similar 3. Explain how data are different 4. Provide a citation for at least one scholarly source |
|
20 pts | |||||
| This criterion is linked to a Learning OutcomeEpidemiological Data Analysis: Mortality4 Required Criteria?
1. Compare county, state, national, and world data 2. Explain how data are similar 3. Explain how data are different 4. Provide a citation for at least one scholarly source |
|
20 pts | |||||
| This criterion is linked to a Learning OutcomeEpidemiological Data Analysis: Prevalence & Mortality3 Required Criteria?
1. Compares prevalence and mortality data across two years. 2. Explain if the public health concern is improving or worsening. 3. Provide a citation for at least one scholarly source |
|
20 pts | |||||
| This criterion is linked to a Learning OutcomeData Analysis3 Required Criteria?
1. Identify which data is most important to share with other healthcare professionals 2. Provide a rationale. 3. Provide a citation for at least one scholarly source |
|
10 pts | |||||
| This criterion is linked to a Learning OutcomeCitation and Reference FormationUse the current APA Style standards to format citations and references and is free of errors. |
|
5 pts | |||||
| This criterion is linked to a Learning OutcomeWriting RequirementsCommunicate with minimal errors in English grammar, spelling, syntax, and punctuation. |
|
5 pts | |||||
| This criterion is linked to a Learning OutcomeTemplate Use |
|
0 pts | |||||
| This criterion is linked to a Learning OutcomeLate Deduction |
|
0 pts | |||||
| Total Points: 155 | |||||||