Open Data Network

Stony Brook COVID 19 SDOH

An analysis on COVID 19 data and Social Determinants of Health

Telehealth Story 1

v0.3 Stony Brook

Telemedicine - COVID 19 Impact Survey

The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates were generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and increased variability from lower sample sizes. Use of the RANDS platform allowed NCHS to produce more timely data than would have been possible using our traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below we provide experimental estimates of telemedicine access and use for two rounds of RANDS during COVID-19. Data collection for the first round occurred between June 9, 2020 and July 6, 2020 and data collection for the second round occurred between August 3, 2020 and August 20, 2020. Information needed to interpret these estimates can be found in the Technical Notes. NCHS included questions about whether providers offered telemedicine (including video and telephone appointments)—both during and before the pandemic—and about the use of telemedicine during the pandemic. As a result of the coronavirus pandemic, many local and state governments discouraged people from leaving their homes for nonessential reasons. Although health care is considered an essential activity, telemedicine offers an opportunity for care without the potential or perceived risks of leaving the home. The National Health Interview Survey (NHIS), conducted by NCHS, added telemedicine questions to its sample adult questionnaire in July 2020. Currently RANDS is the only NCHS source for statistics related to telemedicine availability and use. The experimental estimates on this page are derived from RANDS and show the percentage of U.S. adults who have a usual place of care and a provider that offered telemedicine in the past two months, who used telemedicine in the past two months, or who have a usual place of care and a provider that offered telemedicine prior to the coronavirus pandemic.

CDC - Provisional COVID 19 Death Counts in the United States by County

Provisional count of deaths involving coronavirus disease 2019 (COVID-19) by United States county; geocoding information is currently only available on the state-level.

National Healthcare Quality and Disparities 2019

Included are responses to communication questions by demographic group, overall quality, and race/ethnicity of different types of healthcare providers

CMS - Medicare Disparities

The MMD Population View provides a user friendly way to explore and better understand disparities in chronic diseases, and allows users to: 1) visualize health outcome measures at a national, state, or county level; 2) explore health outcome measures by age, race and ethnicity, sex; 3) compare differences between two geographic locations (e.g., benchmark against the national average); and 4) compare differences between two racial and ethnic groups within the same geographic area. (Use of the Chrome browser is recommended.)

ACS - Age, Sex, and Race/Ethnicity (1-Year Estimates)

1-year estimates from the American Community Survey

CDC - Social Vulnerability Index (2018)

ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) created Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI or simply SVI, hereafter) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event. SVI indicates the relative vulnerability of every U.S. Census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking. In addition to tract-level rankings, SVI 2018 also has corresponding rankings at the county level. Notes below that describe “tract” methods also refer to county methods. Additional historical data can be found here: https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html

DR-4442-MN

Provider type by race/ethnicity bar chart

Included are responses to communication questions by demographic group, overall quality, and race/ethnicity of different types of healthcare providers