data.cms.govHand-written summary

Medicare Part D Opioid Prescribing Rates - by Geography

Number and percentage of Medicare Part D prescriptions that are opioids, at the state, county and ZIP code level.

Freshness

Last posted
Period covered
Jan 1, 2024 to Dec 31, 2024
Update frequency
Annually

Dates as CMS lists them in its catalog.

Columns 18

ColumnWhat it meansType
Data YearYearIdentifies the data year.string
Prescriber Geographic LevelPrscrbr_Geo_LvlIdentifies the level of geography that the data in the row has been aggregated. A value of “National” indicates the data in the row is aggregated across all states, the District of Columbia, and the US territories. A value of “State” indicates the data in the row is aggregated to the state of the prescriber as determined by the ZIP reference table. A value of “County” indicates the data in the row is aggregated to the county of the prescriber as determined by the ZIP reference table. A value of “ZIP” indicates the data in the row is aggregated to the ZIP code of the prescriber as reported in NPPES.string
Prescriber Geographic CodePrscrbr_Geo_CdFor the state-level data, the state FIPS code of the prescriber as determined by the ZIP reference table. For the county-level data, the county FIPS code of the prescriber as determined by the ZIP reference table. For the ZIP code-level data, the ZIP code of the prescriber as reported in NPPES.string
Prescriber Geographic DescriptionPrscrbr_Geo_DescFor the state-level data, the state name of the prescriber as determined by the ZIP reference table. For the county-level data, the state name and county name of the prescriber as determined by the ZIP reference table. For the ZIP code-level data, the state name of the prescriber as determined by the ZIP reference table and the ZIP code of the prescriber as reported in NPPES.string
RUCA CodeRUCA_CdRural-Urban Commuting Area Codes (RUCAs) are a Census tract-based classification scheme that utilizes the standard Bureau of Census Urbanized Area and Urban Cluster definitions in combination with work commuting information to characterize all of the nation's Census tracts regarding their rural and urban status and relationships. The prescriber’s ZIP code was cross-walked to determine the RUCA codes. RUCA Codes are only reported for data aggregated at the ZIP code-level.string
Breakout TypeBreakout_TypeIdentifies the breakout type of the data in the row. A value of “Totals” indicates the data in the row includes all claims. A value of “Rural/Urban” indicates the data in the row is a Rural/Urban breakout. We plan to add additional breakout types, such as Age Group and Plan Type, in a future release.string
BreakoutBreakoutIdentifies the breakout of the data in the row. A value of “Overall” indicates the data in the row includes all claims. A value of “Rural” indicates the data in the row are claims from a rural area. A value of “Urban” indicates the data in the row are claims from an urban area.string
Part D PrescribersTot_PrscrbrsThe number of providers prescribing Medicare Part D drugs.number
Part D Opioid PrescribersTot_Opioid_PrscrbrsThe number of Medicare Part D providers prescribing opioid drugs.number
Opioid ClaimsTot_Opioid_ClmsThe number of Medicare Part D opioid drug claims, including original prescriptions and refills.number
Overall ClaimsTot_ClmsThe number of Medicare Part D drug claims, including original prescriptions and refills.number
Opioid Prescribing RateOpioid_Prscrbng_RateThe number of Opioid Claims divided by the Overall Claims and multiplied by 100.number
Five Year Change in Opioid Prescribing RateOpioid_Prscrbng_Rate_5Y_ChgThe percentage point difference in the opioid prescribing rate from five years previous to the data year, which is calculated by subtracting the rate five years previous from the rate in the data year. At each geographic level, the change in the prescribing rate is displayed as an increase, decrease, or no change. At the state level, an increase reflects a percentage point difference of at least 0.10 and a decrease reflects a difference of at least -0.10; at the county and ZIP code-levels, an increase reflects a difference of at least 1.0 and a decrease reflects a difference of at least -1.0.number
One Year Change in Opioid Prescribing RateOpioid_Prscrbng_Rate_1Y_ChgThe percentage point difference in the opioid prescribing rate from one year previous to the data year, which is calculated by subtracting the rate one year previous from the rate in the data year. At each geographic level, the change in the prescribing rate is displayed as an increase, decrease, or no change. At the state level, an increase reflects a percentage point difference of at least 0.10 and a decrease reflects a difference of at least -0.10; at the county and ZIP code-levels, an increase reflects a difference of at least 1.0 and a decrease reflects a difference of at least -1.0.number
Long-Acting Opioid ClaimsLA_Tot_Opioid_ClmsThe number of Medicare Part D opioid drug claims that are considered long-acting, including original prescriptions and refills.number
Long-Acting Opioid Prescribing RateLA_Opioid_Prscrbng_RateThe number of Long-Acting Opioid Claims divided by the Opioid Claims and multiplied by 100.number
Five Year Change in Long-Acting Opioid Prescribing RateLA_Opioid_Prscrbng_Rate_5Y_ChgThe percentage point difference in the long-acting opioid prescribing rate from five years previous to the data year, which is calculated by subtracting the rate five years previous from the rate in the data year. At each geographic level, the change in the prescribing rate is displayed as an increase, decrease, or no change. At the state level, an increase reflects a percentage point difference of at least 0.10 and a decrease reflects a difference of at least -0.10; at the county and ZIP code-levels, an increase reflects a difference of at least 1.0 and a decrease reflects a difference of at least -1.0.number
One Year Change in Long-Acting Opioid Prescribing RateLA_Opioid_Prscrbng_Rate_1Y_ChgThe percentage point difference in the long-acting opioid prescribing rate from one year previous to the data year, which is calculated by subtracting the rate one year previous from the rate in the data year. At each geographic level, the change in the prescribing rate is displayed as an increase, decrease, or no change. At the state level, an increase reflects a percentage point difference of at least 0.10 and a decrease reflects a difference of at least -0.10; at the county and ZIP code-levels, an increase reflects a difference of at least 1.0 and a decrease reflects a difference of at least -1.0.number

At a glance

Catalog
data.cms.gov
Publisher
Office of Enterprise Data and Analytics (OEDA)
Rows
359,139
Columns
18
State column
None found
Topics
Prescription drugs, Doctors and clinicians, Spending and use of services
Contact
IPAG_Data_Products@cms.hhs.gov

API

Free, no key needed. This request returns the first 10 rows as JSON:

https://data.cms.gov/data-api/v1/dataset/94d00f36-73ce-4520-9b3f-83cd3cded25c/data?size=10

CMS's description

The Medicare Part D Opioid Prescribing Rates by Geography dataset provides information on geographic comparisons of the number and percentage of Medicare Part D opioid prescriptions at the state, county, and ZIP code levels.

Methodology and other documents from CMS:

The summary at the top was written by hand from this description. Record id cms:94d00f36-73ce-4520-9b3f-83cd3cded25c. This record as JSON.

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