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Population Health Informatics Data Sets

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Week 8 Assignment Guidelines

Population Health Informatics Data Sets

For this Assignment, you select a source of data from those provided and analyze it in the context of your Final Project. From this provided source of data, you will extract your own dataset. Use the dataset that you extract to address the following:

Title page and overview: (1 page): Define the population and related health challenges.

Explain the scope of the population (e.g., geographic, demographic; other

specifics about population).

Excel sheets: Raw data sheets and findings.

Wordfile:(2pages)

Determine at least two different types of systems and data sources that might be used to analyze the population and challenges. Why would these data sources be appropriate?

Explain the financial implications of the problems.

Graphic representation of the data.

Propose a potential data-based solution for reducing the costs related to

the population health challenge described.

Sample Topic Areas:

Chronic Care

1. 2.

Health and Wellness

1. 2.

Environmental

1. 2.

___________________________________________________________________
Data Sites for Topic Areas

For each site you will submit:

Succinct description of site purpose

URL and how to login (if needed)

Pointer on how to find meta data about available data

Page |1

Obesity

Diabetes

Tobacco Use

Physical Activity

Air Quality

Childhood Lead Poisoning

Population Health Informatics Data Sets

• One Example of selecting and extracting data

Note: Some CDC sites use Socrata. You can access Socrata through the CDC, which

may require you to set up your own account. The Socrata sites provide maps, charts.

The data can be manipulated online or downloaded in multiple formats. Videos are

provided on how to use Socrata.

Page |2

Population Health Informatics Data Sets

Chronic Diseases 1) Obesity

Centers for Disease Control and Prevention

https://chronicdata.cdc.gov/browse?category=Nutrition%2C+Physical+Activity%2C+and +Obesity

Nutrition, Physical Activity, and Obesity – Behavioral Risk Factor Surveillance System

https://chronicdata.cdc.gov/browse?category=Nutrition%2C+Physical+Activity%2C+and +Obesity&limitT o=datasets

Examples of available information include

• • • •

Nutrition, Physical Activity, and Obesity – Youth Risk Behavior Surveillance System

https://chronicdata.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical- Activity-and-Obesity-Youth-Risk/vba9-s8jp

Chronic Disease/Ssupporting data for Children

KIDS COUNT is a project of the Annie E. Casey Foundation and a premier source of data on children and families

Data on this site would be useful when analyzing a childhood chronic disease and looking at other factors surrounding childhood.

http://www.aecf.org/work/kids-count/ — choose Visit the Kids Count Data CenterPage |3

This dataset includes data on adult diet, physical activity, and weight status from

Behavioral Risk Factor Surveillance System. This data is used for DNPAO’s Data,

Trends, and Maps database, which provides national and state specific data on obesity,

nutrition, physical activity, and breastfeeding.

Percent of adults aged 18 and older who have obesity

Percent of Adults who engage in no leisure time physical activity.

Current Smoking among adults aged >= 18 years

Prevalence of diabetes among US adults (18+)

This dataset includes data on adolescent’s diet, physical activity, and weight status from

Youth Risk Behavior Surveillance System (YRBSS). This data is used for DNPAO’s

Data, Trends, and Maps database, which provides national and state specific data on

obesity, nutrition, physical activity, and breastfeeding. For more information about

YRBSS visit

Population Health Informatics Data Sets

http://datacenter.kidscount.org/

Indicators are Demographics, Economic Well-being, Education, Family & Community, Safety & Risk, Geographic, and Health

Page |4

Population Health Informatics Data Sets

Chronic Diseases 2) Diabetes

Centers for Medicare and Medicaid Services (CMS) formerly HCFA0

http://www.cms.gov/

Chronic Conditions including Diabetes

https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-

Reports/Chronic-Conditions/CC_Main.html

Prevalence and Medicare utilization and spending are presented for the 19 chronic

condition includes diabetes. Information is presented for (1) U.S. counties, (2) U.S. states, including Washington, DC, Puerto Rico, and the U.S. Virgin Islands, and (3) hospital referral regions (HRR) and is available for the years 2007-2015.

The data are available in two Excel file formats. The “Reports” allow users to comparegeographic areas to national Medicare estimates. The corresponding “Tables” aretraditional excel files that can be exported into other programs.

The Medicare Chronic Conditions Dashboard(s) present statistical views of information

on the prevalence, Tutilization and Medicare spending for Medicare beneficiaries with

chronic conditions and multiple chronic conditions. The information is presented for

HHS/CMS regions, states, counties, and hospital referral regions and is available in four

separate dashboards. The dashboards also allow the user to select information for

specific beneficiary sub-groups defined by gender, age group, and Medicare and

Medicaid enrollment (dual eligibility status). The dashboards present data for 2015.

https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-

Reports/Chronic-Conditions/CCDashboard.html

Page |5

Population Health Informatics Data Sets

Health & Wellness 1) Physical Activity

Nutrition, Physical Activity, and Obesity: Data, Trends and Maps

https://www.cdc.gov/nccdphp/dnpao/data-trends-maps/index.html

Examples of data available include:

Adults who usually walk or bike to work

Adults aerobically active 150 minutes

Adults meeting aerobic and muscle strengthening guidelines

Adults aerobically active 300 minutes

Adults meeting muscle strengthening guidelines

Adults engaging in no leisure time physical activity

Adolescents who are physically active daily

Adolescents who participate in daily physical education

View data for a specific health topic across the United States in a convenient map,

chart, or table format. To learn more about a topic, first select a topic category (Physical

Activity), and then select whether you want to see data on behavior or

policy/environmental supports related to the topic.

Page |6

Population Health Informatics Data Sets

Environmental 1) Air Quality

https://www.epa.gov/outdoor-air-quality-data

The AirData website gives you access to air quality data collected at outdoor monitors across the United States, Puerto Rico, and the U. S. Virgin Islands. The data comes primarily from the AQS (Air Quality System) database. You can choose from several ways of looking at the data:

download data into a file (or view it on the screen)

output the data into one of AirData’s standard reports

create graphical displays using one of the visualization tools

• investigate monitor locations using an interactive map

AirData assists a wide range of people, from the concerned citizen who wants to know how many unhealthy air quality days there were in his county last year to air quality analysts in the regulatory, academic, and health research communities who need raw data.

Page |7

Population Health Informatics Data Sets

Environmental 2) Childhood Lead Poisoning

https://www.cdc.gov/nceh/lead/data/index.htm

The Centers for Disease Control and Prevention (CDC) Childhood Lead Poisoning Prevention Program compiles state surveillance data for children age <72 months who were tested for lead at least once since January 1, 1997.

A blood lead test is the best way to measure lead exposure. Children are given a blood test to determine the level of lead in their blood.

The amount of lead in blood is referred to as blood lead level (BLL). BLLs are measured

in micrograms of lead per deciliter of blood (μg/dL).

There is no known identified safe BLL. Exposure to lead can seriously harm a child’shealth. Millions of children are being exposed to lead in their homes, increasing their risks for

damage to the brain and nervous system,

slowed growth and development,

learning and behavior problems (e.g., reduced IQ, ADHD, juvenile delinquency,

and criminal behavior), and

hearing and speech problems.

Two Datasets are available:

CDC’s National Surveillance Data (1997-2015)

CDC’s State Survey Data

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