cut point
cut_pt_pctDefinition
ISO-11179 Definition
The performance threshold percentage that defines the boundary between star levels for a specific quality measure in CMS Star Ratings, determining whether a health plan receives two, three, four, or five stars on that measure based on where their performance rate falls relative to the national distribution. CMS sets cut points annually based on the prior year performance distribution of all contracts eligible for ratings on each measure, with higher cut points reflecting more competitive national performance. The cut point between three and four stars is particularly important because it determines whether a plan earns quality bonus payments at scale.
Healthcare data teams monitor cut_pt_pct values published annually by CMS, calculate where current plan performance falls relative to the upcoming year cut points, identify measures where small improvements in performance rates would shift the plan to a higher star level, and model the financial revenue impact of achieving cut point thresholds for the highest-weighted measures in the star ratings calculation.
Standard Abbreviation
cut_pt_pct
Category
Production DDL — FACT_QUALITY_MEASURE
CREATE OR REPLACE TABLE FACT_QUALITY_MEASURE (
qlty_key INTEGER NOT NULL -- surrogate key,
mbr_key INTEGER NOT NULL -- FK to DIM_MEMBER,
plan_key INTEGER NOT NULL -- FK to DIM_PLAN,
meas_yr SMALLINT -- measurement year,
hedis_meas_cd VARCHAR(20) -- HEDIS measure code,
denom_ind CHAR(1) -- denominator eligible,
numer_ind CHAR(1) -- numerator met,
excl_ind CHAR(1) -- exclusion indicator,
gap_open_ind CHAR(1) -- care gap open,
star_rtg_nbr DECIMAL(3,1) -- star rating,
qlty_scr DECIMAL(5,2) -- quality score,
perf_thrsh_pct DECIMAL(5,2) -- performance threshold,
raf_scr DECIMAL(10,3) -- risk adjustment factor,
outreach_cnt SMALLINT -- outreach attempts,
load_dt TIMESTAMP_NTZ NOT NULL -- load timestamp
);
Standard Snowflake DDL for the canonical quality table. Convert to BigQuery or Databricks →
Why This Term Matters
Quality measure data determines how payers and providers are rated and reimbursed under CMS Stars, HEDIS, and value-based care contracts. Data engineers who understand quality terminology build measure calculation pipelines that correctly attribute patients, apply denominator exclusions, and flag documentation gaps before submission deadlines. Incorrect quality data directly affects star ratings, pay-for-performance bonuses, and Medicare Advantage plan bids.
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