Senior living & memory care

The Numbers Nursing Homes Report on Themselves

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Nursing home quality measures — falls, pressure sores, antipsychotic use — are drawn largely from data each facility records on its own residents. That does not make them worthless, but it does make them the softest of the three numbers behind a star rating. Here is where the figures come from, which are harder to game, and how to read them beside the parts an inspector checks independently.

Last updated: July 2026

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Are nursing home quality measures self-reported?

For the most part, yes — and knowing which parts changes how much the numbers should weigh on your decision. A nursing home's quality-measure scores are calculated mainly from the Minimum Data Set, a standardized assessment the facility's own staff complete for each resident and submit to the government 1. Because the same home both delivers the care and records how it went, these measures are self-reported. The other two ratings behind its star are not.

The Minimum Data Set (MDS) is the federally required resident assessment a facility fills out and submits; most quality measures are built from it.

The Five-Star Quality Rating System folds three separate domains — health inspections, staffing, and quality measures — into one overall number 2. Only the quality-measure domain rests this heavily on what the facility reports about itself, which is why self-reported quality measures are worth understanding before you trust a five-star badge.

Where the quality-measure numbers come from

Quality measures fall into two groups by source. Most are calculated from the MDS assessments the facility submits — things like the share of residents who fell, developed a pressure sore, lost the ability to move independently, or received an antipsychotic. A smaller set is drawn from Medicare billing claims, such as how many residents were hospitalized or returned home successfully. The MDS-based group is self-reported; the claims-based group is not 1.

That split matters because the two groups can be trusted differently. A number the facility assembles from its own charting depends on how the facility charts. A number pulled from hospital and Medicare claims is generated somewhere else, and it is far harder for a home to shade in its own favor.

The three ratings behind the star, and who reports each

A star rating is not one measurement but three, and they differ sharply in who produces the data. Reading the star well means reading the domains underneath it, because a strong quality-measure score can prop up an overall star that a weak inspection record should have pulled down. The table shows where each domain's data comes from.

Rating domainWhere the data comes fromHow self-reported
Health inspectionsUnannounced on-site surveys by state inspectors, over roughly three yearsIndependent — not self-reported
StaffingPayroll-based data the home submits, checkable against payroll recordsReported, but auditable
Quality measuresMostly the facility's own MDS resident assessments, plus some claimsLargely self-reported

The health inspection domain is the one an outside surveyor produces, drawn from inspections over the last three years 3. The staffing figures now come from the Payroll-Based Journal — payroll records rather than a one-time estimate — and the dataset behind the ratings publishes both the staffing hours per resident day and the quality-measure scores for every home 4.

Why self-reported measures can mislead

The weakness of a self-reported measure is not usually outright fraud — it is that what gets counted depends on how a facility assesses and codes. If two homes define or document a fall, a pressure sore, or a resident's decline differently, their quality-measure scores can diverge even when the care is similar. It is a leading source of misleading star ratings, and a reason a very high quality-measure score sitting beside a poor inspection record should raise a question rather than settle one.

A quality-measure score describes what a home recorded about its own residents — not what an inspector saw.

None of this means the measures are useless. It means they carry an asterisk. Treated as one input among several — read next to the independent inspection findings — they add real information. Treated as the whole story, they can flatter a home that charts optimistically.

The measures that are harder to game

If you want the sturdier numbers, look toward the claims-based measures. Because they come from hospital and Medicare billing rather than the facility's own assessments, measures like the rate of residents sent to the hospital, emergency-department visits, and the share who returned to the community are much harder for a home to influence on paper 1. They are not perfect, but they reflect events recorded outside the building.

Paired with the health inspection rating — the domain an independent surveyor produces — the claims-based measures give you a view of a home that does not depend on trusting its own charting. When the self-reported quality measures glow but the claims-based measures and the inspection history do not, believe the second pair.

How to read quality measures without being fooled

Read the quality measures last, not first. Start with the health inspection history and the staffing data, which are produced or audited outside the facility, then use the quality measures to fill in the picture rather than to lead it. Compare homes on the same measure rather than on overall stars, and weigh a suspiciously perfect quality score against everything else you can see.

  • Anchor on the independent data. Let the inspection findings and payroll-based staffing set your baseline.
  • Prefer claims-based measures over MDS-based ones where you can tell them apart.
  • Visit. No dataset shows you a hallway at dinnertime.

All of these figures live in one place: the federal dataset behind CMS Care Compare publishes each home's staffing and quality-measure scores 4, and Care Compare is where you can line them up side by side 5. If the numbers and what you see on a tour do not match, your state's Long-Term Care Ombudsman can help you make sense of the gap, at no cost, in every state 6.

Common questions

The Minimum Data Set is a standardized assessment a nursing home completes for every resident, covering health, function, and needs. It matters because most quality measures are calculated from it. Since the facility fills out and submits the MDS itself, the measures built from it reflect the home's own charting — which is precisely why they count as self-reported.

Measures drawn from the MDS — falls, pressure sores, worsening mobility, antipsychotic use — are self-reported by the facility. Measures drawn from Medicare claims — hospitalizations, emergency visits, returning home after a short stay — are not, because that data is generated by hospitals and the billing system. When you can tell the two apart, the claims-based measures are the harder ones to shade.

Outright fabrication is rare and carries real penalties, but a home does not have to fake anything to make its numbers look better. Because self-reported measures depend on how a home assesses and codes each resident, optimistic or inconsistent charting can move the scores without any single false entry. That is why the independent inspection rating is a useful check.

Yes, as one input rather than the verdict. Self-reported measures still flag patterns worth asking about, and the claims-based ones are genuinely informative. The mistake is reading a glowing quality-measure score as proof of good care on its own. Read it alongside the health-inspection findings and the staffing data, which come from outside the facility.

The quality-measure rating is built mostly from the facility's own resident assessments; the health-inspection rating is built from what independent state surveyors found on unannounced visits over about three years. The inspection rating is much harder for a home to influence, which is why many people treat it as the sturdiest of the three domains behind a star.

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When the numbers and the reality don't match

  • A high quality-measure score sitting beside a poor or worsening health-inspection rating for the same home.
  • A currently placed resident with new pressure sores, repeated falls, or rapid decline the facility's own reports don't seem to reflect.
  • Staff who cannot explain how they track falls, weight loss, or antipsychotic use when you ask.
  • A home that points only to its quality-measure stars and deflects questions about its inspection history.

If a resident shows signs of neglect or is in immediate danger, call 911; suspected abuse or neglect can also be reported to your state's Long-Term Care Ombudsman or Adult Protective Services.

This article explains how public nursing-home quality data is produced and how to read it. It is educational and not a substitute for a professional assessment of a specific facility or for medical or legal advice. Published measures reflect data from a defined period and may have changed.

References

  1. 1.Centers for Medicare & Medicaid Services (2025). Design for Care Compare Nursing Home Five-Star Quality Rating System: Technical Users' Guide. CMS.gov (U.S. Centers for Medicare & Medicaid Services). linkThat the quality-measure ratings are calculated under the CMS methodology from facility-submitted resident-assessment (MDS) data plus some Medicare claims data, and how the three domains are scored and combined.
  2. 2.Centers for Medicare & Medicaid Services (2026). Five-Star Quality Rating System. CMS.gov (U.S. Centers for Medicare & Medicaid Services). linkThat the Five-Star system rates each certified nursing home overall and on three domains — health inspections, staffing, and quality measures.
  3. 3.Centers for Medicare & Medicaid Services (2026). Survey Summary (Nursing homes including rehab services dataset). CMS Provider Data Catalog (data.cms.gov). linkThat the health-inspection results come from state surveyors' on-site inspections over the last three years, independent of the facility.
  4. 4.Centers for Medicare & Medicaid Services (2026). Provider Information (Nursing homes including rehab services dataset). CMS Provider Data Catalog (data.cms.gov). linkThat the downloadable dataset behind Care Compare publishes each facility's staffing measures and quality-measure scores.
  5. 5.Centers for Medicare & Medicaid Services (2026). Find Healthcare Providers: Compare Care Near You (Care Compare). Medicare.gov (U.S. Centers for Medicare & Medicaid Services). linkThat Care Compare is the official federal tool where these ratings and measures are displayed for side-by-side comparison.
  6. 6.Administration for Community Living (HHS) (2025). Long-Term Care Ombudsman Program. ACL.gov (HHS Administration for Community Living). linkThat every state has a Long-Term Care Ombudsman program that advocates for residents and helps resolve complaints about their care.

6 sources, numbered by first appearance. General health information, not medical advice. AI-assisted editorial content — citations link their sources. Editorial policy