• Explore and select 1-2 data sets from the following lists to complete the activity (start with 1 dataset and if there is time complete another):

  • CDC SDOH Environmental Scan

  • NRPA Data and Mapping Resource Library

  • SDoH Prof Fratila Library

• Create a post here on Padlet, that includes the following:

  • Your names

  • Name of datasets

  • Link to datasets

  • Organizations that created/monitor data set

  • Description of what they are looking at

  • How does this represent a social determinant of health?

  • One interesting data you’ve noticed from each dataset

  • Photo (optional)

1. National Cancer Institute

https://www.statecancerprofiles.cancer.gov/incidencerates/index.php?stateFIPS=00&areatype=state&cancer=018&race=00&sex=2&age=136&stage=999&year=0&type=incd&sortVariableName=rate&sortOrder=default&output=0#results

SEER program, National Program of Cancer Registries have gathered data.

They are looking at invasive cancer. The social determinant of health in this study can be seen on how cancer rates are different depending on location and population.

The difference being health insurance, income, and environment.

The site collects the rates of cancer throughout the country by collecting reports of clinics and hospitals of patients who have been diagnosed with cancer.

2. https://databank.worldbank.org/reports.aspx?source=health-nutrition-and-population-statistics:-population-estimates-and-projections

The world bank is collecting population estimates and this is helpful for the social determinants of health because it allows for us to know specific statistics of each area to provide the necessary resources to accommodate for them.

The National Diabetes Statistics Report provides up-to-date information on the prevalence and incidence of diabetes and pre-diabetes, risk factors for complications, acute and long-term complications, death, and costs.

This data shows how prevalent diabetes is in the United States. The quality of life outcome can be effected such as work life and social life. As well as how other diseases go along with diabetes.

The total diagnosis percentage in the United States is about 12% or 40.1 million people and that is just for those diagnosed ages 18+.

Names of Data Bases: Chronic Disease Indicators - CDC (CDC SDoH Environmental Scan); Migration Patterns (NRPA Data and Mapping Resource Library)

Links: https://chronicdata.cdc.gov/Chronic-Disease-Indicators/U-S-Chronic-Disease-Indicators-CDI-/g4ie-h725/data; https://www.nrpa.org/publications-research/data-and-mapping-resource-library/migration-patterns/

Organizations: Centers for Disease Control and Prevention (CDC); National Recreation and Park Association

Description: The CDC looks at Chronic Health Indicators to measure the health of the population in territories and large metropolitan areas. The NRPA reviews migration patterns between people aged 16-26 to help agencies understand where newly young adults are coming to their communities from.

It represents a social determinants of health because it takes into account the factors that people take with them when they move from their childhood homes and the chronic disease indicators that measure the general health of this young adult population.

When you look at the migration map for the DMV, it says that 68% of adults chose to stay in the DMV. The other 32% of adults are all spread out over the country. Chronic disease indicators are increasing in young adults, with at least 50% of them having one or more health conditions.

Name of Database: Opioid Overdose Death Rates and All Drug Overdose Death Rates per 100,000 Population (Age-Adjusted)

Link: https://www.kff.org/other/state-indicator/opioid-overdose-death-rates/?currentTimeframe=0&sortModel=%7B%22colId%22:%22Location%22,%22sort%22:%22asc%22%7D

Organization: Kaiser Family Foundation

Description: We're looking at the death rate amongst the 50 states of America when it comes to opioid use and overall drug use. These rates are age adjusted.

SDOH: This relates to the SDOH because an individual's use of opioids may depend on which state they were raised. For example, certain states have a much higher rate compared to others. This may be due to how "normal" it is to use opioids in their area, how uneducated people are about the dangers of opioids, as well as the stigma around receiving help when it comes to quitting. All of these factors contribute to the risk of an individual growing up, and possibly using opioids, and not receiving the proper care to quit.

Interesting Data Point: West Virginia has the highest death rate when it comes to opioid use. We believe this is due to their underdeveloped healthcare infrastructure and rural area. Other cities like California that are much more developed are shown to have lower rates of opioid use due to their access of modern/advanced health services.

• State Cancer Profiles by the NIH

• https://www.statecancerprofiles.cancer.gov/incidencerates/index.php

• National Program of Cancer Registries by Cancer Surveillance Systems (NCR-CSS), CDC, National Cancer Institute Epidemiology, Surveillance, and The SEER program, the census population as modified by the NCI, and the SEER program.

• They are looking at the incidence rates of cancer for the US overall as well as the individual states. Used to assess the burden and risk of cancer.

• If states have a higher incidence rate of cancer, that may indicate issues with social determinants of health. Also data sets can be viewed by age, race, and sex, as modifiers, therefore indicating if those factors influence rates of cancer.

• When you look at the cancer rates for Fairfax county, VA. the rates of cancer are falling, while the rates for Fairfax city, VA. are stable. Only 3 out of the 10 counties with rising cancer rates are urban, vs 7 rural.

Database #1: Opioid & Health Indicators Database

Link: https://www.usreligioncensus.org/

Organization: Association of Statisticians of American Religious Bodies

Description: Opioid & Health Indicators database is a free web platform designed to support communities, lawmakers, and advocates in making informed decisions about the opioid epidemic and its impact on HIV and hepatitis C. The site is a window into the opioid epidemic unfolding in every American's backyard—it provides local to national statistics using reliable data sources on new HIV and hepatitis C infections, opioid use and overdose death rates, and the availability of services like drug treatment programs and syringe exchange services

Represent SoDH: The Opioid and Health Indicators Database represents a SDoH because it educates/informs people on the consequences of opioid/injection drug use and how it correlates to HIV and other related diseases.

Interesting: 849 Syringe exchanges in the US and not widely talked about

Database #2: U.S. Religion Census

Link: https://opioid.amfar.org/

Organization: amfAR, The Foundation for AIDS Research

Description: The U.S. Religion Census was originally conducted by the U.S. government in five special reports from 1890 through 1936. In 1952, the National Council of Churches organized its own religion census, which was repeated in 1971 and 1980 with strong support from Glenmary Research Center.

Since 1990, this decadal census has been conducted by the Association of Statisticians of American Religious Bodies. Coverage now includes many non-Christian groups as well as special counts for religious traditions that do not have central data collection points, such as non-denominational churches or Muslim and Jewish communities.

Represent SoDH: Religious background determines health outcome as it is a major contributed to coping mechanisms physical and mental well being, dietary choices and geography.

Interesting: The 2020 U.S. Religion Census has data on 372 religious bodies across the nation. The material on the website includes counts of congregations and adherents for each of the 372 groups in every county (or county equivalent) in the United States.

2021 National Health Interview Survey (NHIS) Data

Link to datasets

https://www.cdc.gov/asthma/nhis/2021/data.htm

Organizations that created/monitor data set

CDC

Description of what they are looking at

This organization has datasets categorized based on different groups such as income, race, sex, region, ethnic background, etc to determine the prevalence of aasthma attacks or episodes over a lifetime and current state of aasthma.

How does this represent a social determinant of health?

How each of these factors affects health outcomes of people based on the aasthma population.

One interesting data you’ve noticed from each dataset

Each page and dataset is VERY organized, and the higher the age the more the datasets estimate