Skip to main content

Quality Measures

Methods

Code on Github

The Quality Measures data mart is where we are building publicly available quality measures. You can see the roadmap in this section. If there is a publicly available measure you would like to see added you can submit an issue on GitHub.

Check out the Knowledge Base article for an overview of the data mart and a walkthrough example for calculating a quality measure.

Measure NameMeasure IDSpecificationStatus
Breast Cancer ScreeningCMS Star C01, MIPS CQM 112, NQF/CBE 2372LinkReleased
Colorectal Cancer ScreeningCMS Star C02, MIPS CQM 113, NQF/CBE 0034LinkReleased
Controlling High Blood PressureCMS Star C11, MIPS CQM 236LinkReleased
Diabetes: Eye ExamCMS Star C09, MIPS CQM 117, NQF/CBE 0055LinkReleased
Diabetes: Hemoglobin A1c (HbA1c) Poor Control (> 9%)CMS Star C10, MIPS CQM 001, NQF/CBE 0059LinkReleased
Documentation of Current Medications in the Medical RecordCMS Star C06, MIPS CQM 130LinkReleased
Falls: Plan of CareCMS Star C12, NQF/CBE 0101LinkReleased
Hospital-Wide All-Cause Readmission (HWR)CMS Star C15, MIPS CQM 479LinkReleased (Readmissions mart)
Influenza ImmunizationCMS Star C03, MIPS CQM 110, NQF 0041LinkReleased
Medication Adherence for Cholesterol (Statins)CMS Star D10, NQF 0541LinkPlanned 2024 Q4
Medication Adherence for Diabetes MedicationsCMS Star D08, NQF 0541LinkPlanned 2024 Q4
Medication Adherence for Hypertension (RAS antagonists)CMS Star D09, NQF 0541LinkPlanned 2024 Q3
Medication Reconciliation Post-DischargeCMS Star C15, NQF 0097LinkReleased
Osteoporosis Management in Women Who Had a FractureCMS Star C08, MIPS CQM 418, NQF/CBE 0053LinkReleased
Pain Assessment and Follow-UpCMS Star C07, MIPS CQM 131LinkPlanned 2024 Q3
Statin Therapy for the Prevention and Treatment of Cardiovascular DiseaseCMS Star C16, MIPS CQM 438LinkReleased
Statin Use in Persons with Diabetes (SUPD)CMS Star D12LinkPlanned 2024 Q4
Urinary IncontinenceCMS Star C13, MIPS CQM 48LinkReleased

The data mart includes logic that allows you to choose a measurement period end date.

  • quality_measures_period_end defaults to the current year-end
  • snapshots_enabled is an optional variable that can be enabled to allow running the mart for multiple years

To run the data mart without the default, simply add the quality_measures_period_end variable to your dbt_project.yml file or use the --vars dbt command. See examples below.

dbt_project.yml:

vars:
quality_measures_period_end: "2020-12-31"
snapshots_enabled: true

Data Dictionary

summary_counts

Reporting measure counts with performance rates.

ColumnData TypeDescriptionTerminology

summary_long

Long view of the results for the reporting version of all measures. Each row represents the results a measure per patient. A null for the denominator indicates that the patient was not eligible for that measure.

ColumnData TypeDescriptionTerminology

summary_wide

Wide view of the results for the reporting version of all measures. This model pivots measures on the patient level (i.e. one row per patient with flags for each measure. The false flags can be treated as care gaps as exclusions have been included in the pivot logic.

ColumnData TypeDescriptionTerminology

Intermediate Tables

The intermediate tables contain the logic for calculating each quality measure. The subfolder for each quality measure contains that measure's specific logic for calculating the denominator, numerator, and exclusions. Many measures use the same logic for calculating exclusions, such as dementia or hospice. This shared logic can be found in the shared exclusions subfolder.

Example SQL

Quality Measure Performance
select
measure_id
, measure_name
, performance_period_end
, performance_rate
from quality_measures.summary_counts
order by performance_rate desc
Exclusion Reason Breakdown
select
measure_id
, exclusion_reason
, count(patient_id) as patient_count
from quality_measures.summary_long
where exclusion_flag = 1
group by
measure_id
, exclusion_reason
order by
measure_id
, exclusion_reason
Patient Pivot
select * from quality_measures.summary_wide