us_mmd: mapping medicare disparities

In c1au6i0/covid19census_dev: Extracts Covid-19 and other demographic metrics regarding U.S.A and Italy

Description

Prevalence of many medical and chronic conditions, 2017. From relative documentation listed below: "Prevalence rates are calculated by searching for certain diagnosis codes in Medicare beneficiaries’ claims. The prevalence rate of a condition for a specific sub-population (e.g., all beneficiaries in a county) is the proportion of beneficiaries who are found to have the condition. The admission rate by admission type is the frequency of a specific type of inpatient admission per 1,000 inpatient admissions in a year."

Usage

data(us_mmd)

Format

An object of class data.frame with 3239 rows and 32 columns.

Details

Details regarding the use of the webtool can be found in the relative documentation. It includes prevalence of

• Alzheimer

• chronic kidney

• obesity,

• depression

• obstructive pulmonary

• disease

• arthritis

• diabetes

• osteoporosis

• asthma

• atrial

• fibrillation

• ischemic hearth,

• myocardial infarction

• hypertension

• several type of cancer

• emergency, medical admissions, annual visits

• pneumoccocal vaccine

• tabacco use

Value

a tibble

Source

Mapping Medicare Disparities

See Also

getus_all for more details regarding the variables

c1au6i0/covid19census_dev documentation built on May 8, 2020, 1:01 a.m.