Data catalog

Inpatient psychiatric quality — state and national benchmark

Centers for Medicare & Medicaid Services

Publisher site
health
statistic

In a RepVector build, this dataset quantifies clinical need and utilisation across the population.

Sample of the actual data
1 rows captured for Philadelphia, Philadelphia County, Pennsylvania on 2026-08-18. Showing the first 1.
StateRestraint hrs / 1,000Seclusion hrs / 1,000Metabolic screening (%)Alcohol intervention (%)SUD treatment at discharge (%)
Pennsylvania0.140.1585%56%73%

What this dataset is

State-level averages for the same inpatient psychiatric quality measures reported by facilities — restraint and seclusion hours, metabolic screening, substance-use intervention and transition record rates. Gives a comparison line for reading any single facility. It is published by Centers for Medicare & Medicaid Services and can be queried at state level, refreshed quarterly refresh. Each row is an aggregate statistic for a geography, so results describe a market as a whole rather than a single account.

Why it is useful

  • Separates markets with real clinical demand from markets that only have supply.
  • Grounds a territory case in published prevalence and utilisation instead of assumption.
  • Highlights where need outruns available capacity — usually the fastest conversations.

Questions it helps answer

  • Where is the underlying clinical need highest relative to available capacity?
  • How does utilisation here compare with the state and national picture?
  • Which measures are suppressed or unreported for this geography?

How different verticals use it

RepVector is vertical-agnostic: this dataset is selected by what your question asks for, not by industry. These are common ways teams put it to work.

Healthcare & life sciences

Prioritises territories where clinical need outruns available capacity.

Behavioral health & social services

Quantifies prevalence and utilisation behind a programme or referral case.

Financial services

Informs risk and benefit design with published utilisation patterns.

Education & workforce

Shows community health pressures that shape support-service demand.

How RepVector uses it

  1. You describe a market in plain language. The geography resolver turns the place you named into the exact identifiers this dataset needs — city to county to state, plus DMA where relevant — so a query at state runs without you knowing any codes.
  2. The planner selects Inpatient psychiatric quality — state and national benchmark only when your question matches what it actually reports. It is never included to pad a result.
  3. Returned rows are normalised into the shared metric layer, so figures from Centers for Medicare & Medicaid Services line up with every other source in the same dashboard instead of sitting in an isolated table.
  4. Quality checks score coverage and recency. If Centers for Medicare & Medicaid Services suppresses or omits a value for your geography, the gap is reported as a gap — nothing is estimated or filled in.
  5. The result renders as charts, KPIs and, where the rows are entities, prioritised targets you can export to PDF, Excel, CSV or JSON.

What it does not tell you

  • Aggregated and often suppressed at small geographies to protect privacy; gaps are reported rather than filled in.
At a glance
How this dataset can be queried and how current it stays.
Publisher
Centers for Medicare & Medicaid Services
Geographic grain
state
Refresh cadence
Quarterly refresh
Row represents
statistic
Topics
psychiatric quality benchmark
state average
restraint
seclusion
behavioral health
mental health
IPFQR
comparison
peer benchmark
Available fields
The columns this dataset returns in a RepVector build.
FieldKeyType
Statestategeo
Restraint hrs / 1,000restraintHoursnumber
Seclusion hrs / 1,000seclusionHoursnumber
Metabolic screening (%)metabolicScreeningpercent
Alcohol intervention (%)alcoholInterventionpercent
SUD treatment at discharge (%)sudTreatmentAtDischargepercent
Tobacco treatment (%)tobaccoTreatmentpercent
Transition record (%)transitionRecordpercent

How it fits with the rest of the catalog

Need data explains why a territory matters; provider and facility data explains who you visit once you get there. RepVector queries every selected dataset against the same resolved geography and time window, then normalises the results into one metric layer so they can be charted side by side. These datasets are the most common companions to Inpatient psychiatric quality — state and national benchmark:

Browse all datasets

Common questions

What does Inpatient psychiatric quality — state and national benchmark contain?

State-level averages for the same inpatient psychiatric quality measures reported by facilities — restraint and seclusion hours, metabolic screening, substance-use intervention and transition record rates. Gives a comparison line for reading any single facility. It is published by Centers for Medicare & Medicaid Services at state grain.

How often is it refreshed?

Centers for Medicare & Medicaid Services publishes on a quarterly refresh cycle. RepVector re-reads the source on that cadence and keeps every prior capture, so you can see what changed.

Do I need an account to use it?

No. Browsing the catalog and the free lookup tools needs no account. Running a full market build across every county in a territory is the paid product.

Put Inpatient psychiatric quality — state and national benchmark to work in your market
Describe the market and the customer you want in plain language. RepVector resolves the geography, selects the datasets that actually answer it — including this one when it fits — and builds the dashboard, targets and exports.

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