Codes used to define various metadata aspects of a health quality measure.

Indicates that the observation is carrying out an aggregation calculation, contained in the value element.

Indicates what method is used in a quality measure to combine the component measure results included in an composite measure.

An attribute of a quality measure describing the weight this component measure score is to carry in determining the overall composite measure final score. The value is real value greater than 0 and less than 1.0. Each component measure score will be multiplied by its CMPMSRSCRWGHT and then summed with the other component measures to determine the final overall composite measure score. The sum across all CMPMSRSCRWGHT values within a single composite measure SHALL be 1.0. The value assigned is scoped to the composite measure referencing this component measure only.

Identifies the organization(s) who own the intellectual property represented by the eMeasure.

Summary of relevant clinical guidelines or other clinical recommendations supporting this eMeasure.

Description of individual terms, provided as needed.

Disclaimer information for the eMeasure.

The timestamp when the eMeasure was last packaged in the Measure Authoring Tool.

Used to allow measure developers to provide additional guidance for implementers to understand greater specificity than could be provided in the logic for data criteria.

Information on whether an increase or decrease in score is the preferred result (e.g., a higher score indicates better quality OR a lower score indicates better quality OR quality is within a range).

Describes the items counted by the measure (e.g., patients, encounters, procedures, etc.)

A significant word that aids in discoverability.

The end date of the measurement period.

The start date of the measurement period.

The method of adjusting for clinical severity and conditions present at the start of care that can influence patient outcomes for making valid comparisons of outcome measures across providers. Indicates whether an eMeasure is subject to the statistical process for reducing, removing, or clarifying the influences of confounding factors to allow more useful comparisons.

Describes how to combine information calculated based on logic in each of several populations into one summarized result. It can also be used to describe how to risk adjust the data based on supplemental data elements described in the eMeasure. (e.g., pneumonia hospital measures antibiotic selection in the ICU versus non-ICU and then the roll-up of the two).

Open Issue: The description does NOT align well with the definition used in the HQMF specfication; correct the MSGAGG definition, and the possible distinction of MSRAGG as a child of AGGREGATE.

Information on whether an increase or decrease in score is the preferred result. This should reflect information on which way is better, an increase or decrease in score.

The list of jurisdiction(s) for which the measure applies.

Type of person or organization that is expected to report the issue.

The maximum time that may elapse following completion of the measure until the measure report must be sent to the receiver.

Indicates how the calculation is performed for the eMeasure (e.g., proportion, continuous variable, ratio)

Location(s) in which care being measured is rendered

Usage Note: MSRSET is used rather than RoleCode because the setting applies to what is being measured, as opposed to participating directly in the health quality measure documantion itself).

The time period for which the eMeasure applies.

Indicates whether the eMeasure is used to examine a process or an outcome over time (e.g., Structure, Process, Outcome).

Succinct statement of the need for the measure. Usually includes statements pertaining to Importance criterion: impact, gap in care and evidence.

Identifies bibliographic citations or references to clinical practice guidelines, sources of evidence, or other relevant materials supporting the intent and rationale of the eMeasure.

Comparison of results across strata can be used to show where disparities exist or where there is a need to expose differences in results. For example, Centers for Medicare & Medicaid Services (CMS) in the U.S. defines four required Supplemental Data Elements (payer, ethnicity, race, and gender), which are variables used to aggregate data into various subgroups. Additional supplemental data elements required for risk adjustment or other purposes of data aggregation can be included in the Supplemental Data Element section.

Describes the strata for which the measure is to be evaluated. There are three examples of reasons for stratification based on existing work. These include: (1) evaluate the measure based on different age groupings within the population described in the measure (e.g., evaluate the whole [age 14-25] and each sub-stratum [14-19] and [20-25]); (2) evaluate the eMeasure based on either a specific condition, a specific discharge location, or both; (3) evaluate the eMeasure based on different locations within a facility (e.g., evaluate the overall rate for all intensive care units and also some strata include additional findings [specific birth weights for neonatal intensive care units]).

Can be a URL or hyperlinks that link to the transmission formats that are specified for a particular reporting program.

Usage notes.