Search the Medicare Specific Chronic Conditions API

Information on prevalence, use and spending by count of select chronic conditions among Original Medicare (or fee-for-service) beneficiaries.

Usage

cc_specific(
  year,
  condition = NULL,
  sublevel = NULL,
  level = NULL,
  fips = NULL,
  age_group = NULL,
  demographic = NULL,
  subdemo = NULL,
  tidy = TRUE
)

Format

prevalence: Prevalence estimates are calculated by taking the beneficiaries within the MCC category divided by the total number of beneficiaries in the fee-for-service population, expressed as a percentage.
tot_std_pymt_percap: Medicare standardized spending includes total Medicare payments for all covered services in Parts A and B and is presented per beneficiary (i.e. per capita). Standardized payments are presented to allow for comparisons across geographic areas in health care use among beneficiaries.
tot_pymt_percap: Medicare spending includes total Medicare payments for all covered services in Parts A and B and is presented per beneficiary (i.e. per capita).
hosp_readmsn_rate: Hospital readmissions are expressed as a percentage of all admissions. A 30-day readmission is defined as an admission to an acute care hospital for any cause within 30 days of discharge from an acute care hospital. Except when the patient died during the stay, each inpatient stay is classified as an index admission, a readmission, or both.
er_visits_per_1k: Emergency department visits are presented as the number of visits per 1,000 beneficiaries. ED visits include visits where the beneficiary was released from the outpatient setting and where the beneficiary was admitted to an inpatient setting.

Arguments

year: integer, YYYY, calendar year of Medicare enrollment. Run the helper function cc_years() to return a vector of currently available years.
condition: Identifies the chronic condition for which the prevalence and utilization is compiled. There are 21 chronic conditions identified using Medicare administrative claims. A Medicare beneficiary is considered to have a chronic condition if the CMS administrative data have a claim indicating that the beneficiary received a service or treatment for the specific condition. Beneficiaries may have more than one of the chronic conditions listed.
sublevel: The state and/or county where the Medicare beneficiary resides. The values include the 50 United States, District of Columbia, Puerto Rico or U.S. Virgin Islands. Data aggregated at the National level are identified by "National'.
level: Geographic level of data; options are National, State, and County
fips: FIPS state and/or county code where the Medicare beneficiary resides. This column will be blank for data aggregated at the National level or for Puerto Rico and Virgin Islands.
age_group: Identifies the age level of the population that the data has been aggregated. A value of All indicates the data in the row represents all Fee-for-Service Medicare Beneficiaries. A value of <65 or 65+ indicates that the data is aggregated by the age of the Medicare Beneficiaries at the end of the calendar year.
demographic: Identifies the demographic level of the population that the data has been aggregated. A value of All indicates the data in the row represents all Fee-for-Service Medicare beneficiaries. A value of Sex indicates that the data has been aggregated by the Medicare beneficiary's sex. A value of Race indicates that the data has been aggregated by the Medicare beneficiary's race. A value of Dual Status indicates that the data has been aggregated by the Medicare beneficiary's dual eligibility status.
subdemo: For Sex, a beneficiary’s sex is classified as Male or Female and is identified using information from the CMS enrollment database. For Race, the race/ethnicity classifications are: Non-Hispanic White, Black or African American, Asian/Pacific Islander, Hispanic, and American Indian/Alaska Native. For Dual Status, beneficiaries can be classified as 'Medicare and Medicaid' or 'Medicare Only'. Beneficiaries enrolled in both Medicare and Medicaid are known as “dual eligibles.” Medicare beneficiaries are classified as dual eligibles if in any month in the given calendar year they were receiving full or partial Medicaid benefits.
tidy: Tidy output; default is TRUE.

Value

A tibble containing the search results.

Details

The Select Chronic Conditions dataset provides information on 21 selected chronic conditions among Original Medicare beneficiaries. The dataset contains prevalence, use and spending organized by geography and distinct chronic conditions listed below:

Alcohol Abuse
Alzheimer’s Disease/Dementia
Arthritis
Asthma
Atrial Fibrillation
Autism Spectrum Disorders
Cancer
Chronic Kidney Disease
COPD
Depression
Diabetes
Drug Abuse/Substance Abuse
Heart Failure
Hepatitis (Chronic Viral B & C)
HIV/AIDS
Hyperlipidemia
Hypertension
Ischemic Heart Disease
Osteoporosis
Schizophrenia and Other Psychotic Disorders
Stroke

Examples

if (FALSE) { # interactive()
cc_specific(year = 2018, level = "State", sublevel = "CA")
cc_specific(year = 2007, level  = "National", demographic = "Race")
}