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What are nursing-home quality measures?

Nursing-home quality measures are standardized CMS indicators about selected aspects of resident care and outcomes. CMS uses defined populations, reporting periods, and technical specifications; some measures use Minimum Data Set assessments and some use Medicare claims. A measure is not a finding about an individual resident or a complete evaluation of a facility.

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Full name: CMS Nursing-Home Quality Measures

Short explanation

CMS nursing-home quality measures are standardized indicators published to help compare selected aspects of care. The applicable measure specification sets the numerator, denominator, reporting period, exclusions, risk adjustment, and any suppression rules. CMS's Care Compare materials distinguish short-stay and long-stay measures and explain that the published measures are one part of a broader information set. They should be read alongside the source date, measure details, and relevant limitations rather than as a universal judgment about a facility.

Related data: Nursing-home data

Last updated: 2026-07-11Reviewed by: Dr. Jennifer Montecillo, MDGullas College of Medicine, 2019. Non-practicing medical reviewer.

How it’s used

  • Medicare Care Compare: CMS publishes short-stay and long-stay nursing-home quality measures under its documented rating and reporting methodology.
  • Fonteum data context: quality measures remain linked to their public source and reporting period so users can distinguish a defined indicator from other source families, such as staffing or survey records.

Frequently asked questions

What do nursing-home quality measures show?
They report standardized CMS indicators about selected aspects of resident care and outcomes for defined resident groups and reporting periods.
Are quality measures the same as inspection results?
No. Quality measures, staffing data, and health-inspection findings are distinct CMS information sets with different source data and methods.
How should quality measures be interpreted?
Read the measure definition, reporting period, source date, and any suppression or risk-adjustment notes. A single measure is not a complete evaluation of a facility.

Explore in Fonteum

How Fonteum sources, resolves, and publishes data tied to this term.

What’s on file, by the numbers

Platform snapshot · 2026-07-25

13.4Mproviders & companiesProviders, organizations, owners, and facilities on file
26.2Msource-linked factsSource-linked field facts in the dated platform snapshot
90sources with dataDistinct snapshot source IDs with at least one positive record count
79fresh sourcesDistinct source IDs whose latest positive-data snapshot falls within the preceding 45 days
111sources integratedActive registry rows; integration does not establish a load
13state Medicaid jurisdictionsDistinct states represented in the state-exclusions serving table

Integrated, with-data, and fresh-observation counts are separate. No platform-wide source-completeness count is published. Completeness is source-specific and must be evaluated against the named source's expected scope. State coverage is a separate jurisdiction measure.

Source authority is record-specific

Use the issuer named on the record.

Fonteum spans federal, state, and global public publishers. A source page or returned record identifies its issuer and dataset where that metadata is available. A platform registry count does not assign every page to one authority or establish loaded, fresh, or complete coverage.

Browse source records and their stated limitations →

Reproducible by design

Inspect the evidence each published figure actually supplies.

Source and date

Research pages expose the named public file and observation date where those fields are available. Source-file SHA-256 coverage is separate; facts do not currently link deterministically to signatures.

Available derivation

Studies with a retained release and committed derivation link the SQL or method used. Other studies state the evidence and reproduction limits they actually have.

Daily observations

Dated table row-count observations can detect local drift. They do not imply that an upstream publisher released or Fonteum ingested new data that day.

Named medical review

Reviewed by Jennifer Montecillo, MD, medical reviewer. Non-practicing medical reviewer.

Read the full provenance and attestation methodology →

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