see attachment W 4 C assignment

profileOscarPerez
AirQualityProjectPart1.docx

Direct Care Project Part 1

Air Quality Assessment and Diagnosis Template

Directions: Collect the data outlined in this template. Fill in the blanks in the tables provided. There are two parts - online data collection and a modified windshield survey data collection. You will then identify a nursing problem in a vulnerable population and write a nursing diagnosis. See the assignment directions and tutorial for suggestions and best practices. All information in a category must be completed. Air quality will be the topic of your Assessment and Nursing Diagnosis Template and also Parts 2 through 4 of your course project.

Name: Oscar L Perez Torres Date: July 14, 2022

Online Data Collection

1. Community Information

Your Community Data

Name of city or town and state

Miami City

Population

2,761,581

Nature of this community (rural, suburban, urban)

Urban

Describe your community in 2-3 sentences

City of Miami is located in Miami-Dade County and is an urban area. It serves as Florida's cultural and economic hub. The percentage of youth with mental health concerns due to alcohol misuse is on the rise in Miami.

2. Community Demographics

a. Go to https://www.census.gov/quickfacts/fact/table/US/PST045218

i. The US data should automatically populate

ii. Input your zip code or county/township name

iii. Then input your state for comparison data

iv. Enter the data into the table below

v. Compare the county, state, and US data

County Data

State Data

U.S. Data

Population total

6,215,000

21,538,187

331,449,281

Male (subtract female % from 100)

48.2%

48.4%

49.2%

Female

51.8%

51.6%

50.8%

Persons under 5

5.9%

6.0%

6.0%

Persons over 65

12.9%

15.9%

16.5%

Race and origin data

County Data

State Data

U.S. Data

White alone

41.6%

58.5%

76.3%

Black or African American alone

50.1%

31.1%

13.4%

American Indian and Alaska Native alone

0.8%

0.6%

1.3%

Asian alone

3.4%

6.7%

5.9%

Native Hawaiian and other Pacific Islander alone

0.1%

0.1%

0.2%

Two or more races

4.0%

2.9

2.8

Hispanic or Latino

6.3

10.6%

18.5%

White alone, not Hispanic or Latino

37.2%

50.0%

60.1%

Significant population characteristics

County Data

State Data

U.S. Data

Veterans

16,132

365,356

18,230,322

Foreign born persons

6.3%

15.2%

13.6%

Housing overview

County Data

State Data

U.S. Data

Housing units

61,838

2,470,316

139,684,244

Owner-occupied housing unit rate

76.9%

66.9%

64.0%

Median selected monthly owner costs with a mortgage

$2,190

$2,017

$1,595

Median selected monthly owner costs without a mortgage

$627

$627

$500

Median value of owner-occupied housing units

$313,300

$314,800

$217,500

Median gross rent

$1,682

$1,392

$1,062

Family and living arrangements

County Data

State Data

U.S. Data

Households

56,520

2,205,204

120,756,048

Persons per household

2.78

2.67

2.62

Living in same house 1 year ago

89.2%

86.4%

85.8%

Language other than English spoken at home

8.2%

19.0%

21.6%

Computer and Internet Use

County Data

State Data

U.S. Data

Households with a computer

91.9%

92.4%

90.3%

Households with broadband internet subscription

87.5%

86.4%

82.7%

Education

County Data

State Data

U.S. Data

High school graduate or higher

93.2%

90.2%

88.0%

Bachelor’s degree or higher

28.9%

40.2%

32.1%

Health

County Data

State Data

U.S. Data

With a disability under age 65 years

5.9%

7.5%

8.6%

Persons without health insurance under age 65 years

4.7%

6.9%

9.5%

Economy

County Data

State Data

U.S. Data

Civilian labor workforce ages 16+

66.6%

67.1%

63.0%

Transportation-mean travel time to work (minutes)

45.0

33.2

26.9

Income and poverty

County Data

State Data

U.S. Data

Median household income

$100,003

$84,805

$62,843

Persons in poverty

6.4%

9.0%

10.5%

3. Community Epidemiological Data

a. Go to: https://www.countyhealthrankings.org/

b. Click on your state

i. Start with Overall Rankings in Health Outcomes

ii. Then choose your county

**you will need to use the “+” to see all of the data**

County Data

State Data

Health Outcome Rank

13

N/A

Length of life rank

14

N/A

Premature death

7400

7200

Low birth weight

10%

9%

Adult smoking

14%

14%

Adult obesity

36%

31%

Physical inactivity

26%

22%

Excessive drinking

16%

17%

Alcohol impaired deaths

33%

29%

STIs

631.8

552.1

Teen births

15

17

Drug overdose deaths

27

37

Uninsured

5%

7%

Unemployment

3.9%

3.9%

Children in poverty

9%

12%

Violent crime

357

459

Air pollution

9.3

9.6

Drinking water violations

No

Long commutes

65%

50%

4. Respiratory Conditions

a. Go to https://www.lung.org/research/trends-in-lung-disease/prevalence-incidence-lung-disease

i. Input your state

ii. Then identify your county

**Please note these are estimated amounts of total diseases. Communities with a higher population will likely have more cases. Be sure it is clear in your presentation that these totals are estimates. **

County Data

State Data

Pediatric asthma

2,927

101,341

Adult asthma

11,697

443,771

COPD

6,879

271,262

Chronic lung disease

18,877

715,604

Lung cancer

88

3,293

Windshield Survey

It is recommended that you have someone drive you around your community at least 2 times, ideally at different times of day and weekend vs. weekday.

Look at the people in your community.

Did you observe:

No

Yes

If Yes, provide number or state “many” “some” or “few”

· *Pregnant women

✓  

6

· *Pregnant adolescents

✓  

· *Infants (under age of 1 year old)

✓  

Many

· *Young children (1-5 years old)

✓  

31

· *School-age children (6-18 years old)

✓  

67

· Adults (18 – 60 years old)

✓  

Many

· *Older adults (over the age of 60 years old)

✓  

21

· People exercising

✓  

Few

· People driving

✓  

Many

· People walking

✓  

Many

· People biking

✓  

Some

· People congregating in groups on the street

✓  

Few

· *People that had hygiene issues or were unkempt

✓  

2

· People that were appropriately dressed

✓  

Many

· People that were physically fit

✓  

Many

· People that were obese

✓  

Some

· *People that were undernourished, thin

✓  

· People that appear healthy

✓  

Many

· *People that have obvious physical disabilities, such as those using walkers or wheelchairs

✓  

8

· *People with apparent mental/emotional disabilities

✓  

· *People who appeared homeless or unemployed

✓  

Few

*Represents vulnerable populations

Social and Economic Conditions

Did you observe:

No

Yes

If Yes, provide number or state “many” “some” or “few”

· Housing that was run down or dilapidated

✓  

· Areas undergoing renewal

✓  

Few

· Public housing

✓  

Some

· Public transit (subway, train, buses, taxis, etc.)

✓  

Some

· Transportation to health care resources

✓  

Some

· Landfills

✓  

1

· Restaurants

✓  

Many

· Any political signs

✓  

Few

· Any evidence of health education on billboards, advertisements, or signs

✓  

Some

· Any efforts to improve the neighborhood’s health such as advertisements for health-related events, health fairs, clinics, or lectures

✓  

Some

· Any group efforts in the neighborhood to improve the living conditions or the neighborhood

✓  

· Churches, synagogues, mosques, and other places of worship

✓  

3

Health Resources

Did you observe:

No

Yes

If Yes, provide number or state “many” “some” or “few”

· Hospitals

✓  

3

· Community clinics

✓  

2

· Family planning clinics

✓  

Few

· Generalist doctors

✓  

Many

· Dentist offices

✓  

Some

· Pharmacies

✓  

7

· Urgent care clinics

✓  

1

· Skilled nursing facilities

✓  

4

· Mental health or counselling clinics

✓  

2

· Homeless or abuse shelters

✓  

1

· Public health department office

✓  

2

· Substance abuse treatment center

 

✓  

2

· Alternative medicine practices, botanicals, or herbal medicine shops

✓  

Few

Answer the following question:

If some of the above health resources were not observed, approximately how far away would a person need to travel to find these resources?

It took me around 4 kilometers of driving to reach some of the aforementioned health services.

Environmental Conditions

Did you observe:

No

Yes

If Yes, provide number or state “many” “some” or “few”

· Evidence of anything that might make you suspicious of ground, water, or air pollutants

✓  

Many

· Poor road conditions with potholes, or poor drainage

✓  

Few

· Adequate traffic lights, signs, sidewalks, and curbs

✓  

Some

· Railroad crossings fitted with warnings and barriers

✓  

Some

· Streets and parking lots well lit

✓  

Many

· Handicapped access to buildings, sidewalks, and streets

✓  

Some

· Recreational facilities, playgrounds, and/or facilities like the YMCA

✓  

3

· Children playing in the streets, alleys, yards, or parks

✓  

Some

· Evidence of nuisances such as ants, flies, mosquitoes, or rodents, or stray animals observed

✓  

Problem

Identify a nursing problem based on your data and observations. The problem must be related to air quality. Example: Childhood asthma

Problem Identification: Chronic Lung Disease

Vulnerable Population

Identify the vulnerable population that is most impacted by this problem. Example: Children

Vulnerable Population Identification: Old Adults

Diagnosis

Write a nursing diagnosis based on your problem from above. Fill in the blanks below.

Example: Increased risk of asthma among children related to local air pollution demonstrated in county childhood asthma rates.

*See chapter 6 in the Nies and McEwen (2019) textbook for more examples of composing a community health nursing diagnosis.

Nursing Diagnosis: Increased risk of Chronic Lung Disease among children related to air pollution as demonstrated in estimated Charles County’s Chronic Lung Disease prevalence.

References

American Lung Association. (2020). Estimated prevalence and incidence of lung disease. https://www.lung.org/research/trends-in-lung-disease/prevalence-incidence-lung-disease

County Health Rankings and Roadmaps. (2018). Explore rankings. http://www.countyhealthrankings.org/

U.S. Census Bureau. (2018). State and county QuickFacts.  https://www.census.gov/quickfacts/

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