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FonteumPublic-records evidence
Fonteum · Deficiencies

Per-citation health-deficiency records on every Medicare-certified nursing home — joined to the civil-money penalties.

Fonteum snapshot 2026-05-08: 418,148 per-citation health-deficiency records across 14,635 Medicare-certified nursing homes — each with scope (B–L) + severity letter, F-tag taxonomy, deficiency category. The NH Penalties dataset joins via CCN + Survey Date and exposes $467M in cumulative civil-money fines across 16,832 penalty records. State-level harm-citation rates vary by 4.81× (top vs. bottom: IL 4.57 vs. MD 0.95 per facility) — a state-survey-system signal, not a facility-quality signal.

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Citation universe

Per-Citation Health Deficiencies

Each citation carries scope (B–L scale) + severity letter + F-tag taxonomy + deficiency category + Survey Event ID. The most-actionable per-citation transparency layer in nursing-home regulation.

418,148
Enforcement

Cumulative Civil-Money Penalties

NH Penalties joins to Deficiencies via Survey Event ID. Exposes per-event civil-money penalty amounts and denial-of-payment events. Audit-pack export ships both as data_only sub-join.

$467M
State-system signal

IL-vs-MD Harm-Rate Disparity

State-survey rigor varies dramatically: top harm-rate state IL (4.57 G+ citations per facility) vs. bottom MD (0.95). That spread is a state-survey-system story, not a facility-quality story — Fonteum surfaces the variance explicitly so consumers don't mistake survey rigor for facility quality.

4.81×
State harm-rate disparity (top 10 vs bottom 10)

4.81× spread between top + bottom states (G+ citations per facility)

State-level harm-rate variation is a state-survey-system signal, not a facility-quality signal. 2.36% of all citations were Immediate Jeopardy (J/K/L) — 9,862 citations across the 2017-03-232026-03-25 window.

Top 10 — highest harm rate
StateFacilitiesG+ per facility
IL6664.57
UT973.19
RI733.16
VT342.65
MT612.52
CO2092.44
TX1,1732.43
NM682.25
SD952.24
WA1942.16
Bottom 10 — lowest harm rate
StateFacilitiesG+ per facility
NH740.31
NV660.48
AR2200.51
AZ1400.59
ME780.60
NY5950.62
NE1790.64
IN5070.71
AL2230.79
MD2200.95
Top 10 most-cited F-tags

What CMS surveyors cite most often

F0880
23,555
F0689
21,352
F0812
19,927
F0684
16,359
F0656
14,806
F0761
13,438
F0677
10,246
F0695
9,391
F0550
9,018
F0584
8,877

Methodology · Sources · Corrections log · Editorial policy

What’s on file, by the numbers

Platform snapshot · 2026-08-24

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
70fresh 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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