Limitations of previous contraceptive access measures
Beginning in the early 2010s, interest emerged to develop measures to assess contraceptive access as a core component of contraceptive care quality. The first measures developed to assess this, called the Contraceptive Care Measures, are calculated using data from medical claims and measure the percentage of qualifying patients who had a claim in a calendar year for a most or moderately effective method of contraception among all women of reproductive age (15-44). Similar to CU-SINC measures, there is also a submeasure for LARC provision. These measures specifically measure contraceptive provision (e.g. when a provider prescribes or dispenses a method) and are currently in use and were endorsed at the population-level by the federal consensus-based entity (currently Partners for Quality Measurement, previously the National Quality Forum). They are included in the Centers for Medicare and Medicaid (CMS) Child and Adult Core Set of Healthcare Quality Measures.
However, there are several limitations with the claims-based measures:
- Claims data do not always accurately identify which contraceptive method a person is using following a visit. This is particularly true for sterilization and LARC methods, which are not captured in administrative claims if provided prior to the latest health care visit or during a previous measurement period.
- Claims-based measures do not define the population of interest for the measure, which means all eligible patients are included in the denominator, regardless of whether they want contraception or not.
- Claims-based measures are designed for calculation in service delivery systems with a fee-for-service model. Therefore, health care facilities that use prospective payment systems, such as Federally Qualified Health Centers (FQHCs), cannot easily employ these measures to evaluate the quality of contraceptive services.
Evolving measures of access: Development of CU-SINC
CU-SINC was developed to address the limitations of previously developed contraceptive access measures in two ways: 1) by utilizing electronic health record (EHR) data instead of claims data in order to more accurately documents contraceptive use and 2) further defining the target population by including a contraceptive needs screening question. Additionally, because the measures are calculated using EHR data, they can be used within a wide array of health care settings, including systems that do not rely on claims data.
The CU-SINC measures evolve measurement of contraceptive access to more accurately reflect service needs from a person-centered lens. More detail on how this is achieved included below.