15 Nov Mining of health data bases Discussion Mining of health data bases Discussion Assessment may include the following strategies: Mining of health data bases, wind
Mining of health data bases Discussion
Mining of health data bases Discussion
Assessment may include the following strategies: Mining of health data bases, windshield or walking surveys, and more formal quantitative and qualitative research investigations involving community members and other stakeholders. A “windshield survey” is conducted from a car and provides a visual overview of a community (may also be done as a walking survey). Conditions and trends in the community that could affect the health of the population (social determinants) are noted. Most surveys of this type must be validated and expanded through data mining of available online and other databases of demographic and health-related statistics.
Evidence collected during a formal community assessment forms the basis for planning to improve the health status of the community, which impacts individuals’ health downstream.
At the end of this activity, the student will be able to:
1. Identify social determinants of health present in assigned community (socioeconomic status, education, neighborhood and physical environment, employment, social support networks).
2. Identify healthcare resources that are available in the community.
3. Analyze actual health of the assigned community, utilizing resources to gather vital statistics, such as morbidity and mortality data.
4. Create a list of strengths and weaknesses of the community.
5. Prioritize weaknesses to identify the highest priority need of the community.
6. Identify community resources (actual, available resources or proposed resources) to address the highest priority problem.
7. Share community assessment and analysis in a formal, group presentation.
This activity aligns with several of the course outcomes as stated below:
1. Examine health delivery systems and resources available at the global, national, state, and local levels.
2. Examine effective methods for health promotion and health maintenance for individuals, families, and communities at every stage of development.
3. Analyze the environmental, biological, and psychosocial risk factors for disease and disability.
Working in a small team, you will conduct a formal assessment of a community to which you have been assigned. The assessment will involve a walking or windshield survey which is validated and expanded upon through a deeper dive into demographic and health-related databases/websites available here:
https://researchguides.uic.edu/c.php?g=252323&p=1683295 Mining of health data bases Discussion
· Digital camera/phone
· Map or layout of the neighborhood/community
· Mode of transportation (not needed if conducting walking survey)
· Masks if unable to practice social distancing
Part 1: Assessment
1. Your clinical group will be assigned a neighborhood to survey.
2. Review the Windshield Survey Components handout and PowerPoint (see Brightspace Lecture PPTS).
3. Review Community Tool Box resources for Windshield Survey:
4. Use Google Maps (or other navigation software) to identify boundaries of assigned area.
5. Collect assessment data on essential demographic and other aspects of the community using the guidelines below: [Support your assessment data with actual images/videos taken with your camera or available online]
The essential components of the Community Assessment are listed below:
Race and Ethnicity: Data and/or a description of the community demographics for the community. Be sure to identify any specific data that helps support the existence of your identified health problem or that may impact your health promotion project. Evaluate the racial identity of the community (e.g. is the area well integrated?) Consider the following questions. Are there indices of ethnicity, various types of ethnic food stores, ethnic churches, private schools related to ethnicity, signs and information in a language other than English?
Culture : Analyze the cultural data and assess the cultural dynamics within the community that influence the community’s health beliefs or health status.
Religion : Include the various types of churches and places of worship. It would be beneficial to learn the number of available churches in the area, all of the different denominations and representation of differing religions, and the number of churches in a ratio comparison to the number of people in the community.
Politics : Determine if the community is very swayed politically or is predominantly of one party affiliation. Identify evidence of political activism, such as campaign signs, political billboards, or other evidence of political influence.
Boundaries: You may include the street boundaries for the community, as well as any physical demarcation that defines the community boundaries:
· Is it a natural boundary such as a river or a lake?
· Is it a man-made boundary such as train tracks?
· Is there a noticeable difference in the socioeconomic level in comparison to neighboring communities? Do the individual neighborhoods vary in socioeconomic status?
Housing and zoning: You may want to evaluate the typical single family, multi-family, alternative housing, and assisted living type homes for the area. A visual map showing the boundaries of the community is always helpful. Make a note of whether or not the residences have a large number of real estate signs on them. Supportive data could also include:
· any specific areas (and the size of the area) in which houses were in disrepair,
· how many homes were for sale
· how many single-family homes in comparison to multi-family dwellings or senior living complexes, Mining of health data bases Discussion
· average home market price,
· any data regarding proportion of young families with children compared to retirees
· any changes in residency, recent trends in real estate (are the new construction homes build where previous existing homes were torn down? Or was there still available space in this established community?)
Open Space: Determine the open spaces throughout the community, including vacant lots, green spaces, undeveloped areas, nature areas, and parks. Supportive data could also include:
· How many open spaces, parks, or green spaces are available?
· Does the community appear to be focused on open space availability, parks, divided streets with trees or landscapes parkways?
· Are there minimum lot sizes?
· How many of these parks and green spaces are park district owned?
· How many of these are City owned?
· How many of these are State owned? Forest preserve district owned?
· Are the people really utilizing the available spaces?
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