Community Statistics Assignment
Overview: Statistical Health Data for a Community
In this assignment, you will review and assess statistical data for the community you selected for your community Windshield Survey. By reviewing demographic, health, crime, income, and educational data, and by comparing local data with city, county, state, and national data, you will be able to determine how well the selected community functions.
Your statistical analysis will address the community in general using the categories noted above. In addition, based on your observations from Module 1 subjective assignment, (windshield survey and key informants) provide Morbidity, Mortality (M&M) and risk data for the health problems you identified in your community, and gather comparative data from the local, city, county, state and national levels specific to those health issues. For Example 1: if you observed obesity in your community then present obesity rates and health conditions associated with obesity [i.e. CVD, HD, Depression, etc.). These variables may include the following: gender (who does this problem affect the most, men or women); age distribution; ethnicity or racial group(s) mostly-affected; morbidity and mortality rates; any data related to life-expectancy in light of the health issues; is there a geographic area where the health problems mainly exist; is there a relationship between the health issue(s) and environmental health hazards; are these life-threatening health issues?
This type of inquiry in Module 2 Part II will provide the basis for the next paper in this course, the Nursing Intervention paper. In that assignment, you will develop a community health nursing intervention(s) to address the community health problems you have defined. There is a progression in problem definition from the Windshield Survey to the Statistical Analysis, to the recommendations for community health nursing interventions. You will be able to follow the unfolding of this process from problem-identification to recommendations for intervention. This process requires skills in data-gathering, data analysis, critical thinking, evidence-based nursing, and planning.
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