Send Comment to CMS by September 8 to Support Race and Ethnicity Data Stratification in Medicare Physician Quality Reporting

BACKGROUND

The Centers for Medicare and Medicaid Services (CMS) are seeking public comments on whether physician quality measures from the Physician Quality Reporting System and on the Physician Compare web site should be reported and stratified by patients’ race, ethnicity, gender, and other demographic characteristics. The comments are being sought as part of the very long and complex “proposed rule” updating the Medicare Physician Fee Schedule for Calendar Year 2016.

INSTRUCTIONS FOR SENDING YOUR COMMENT

Your comment may be submitted online at http://www.regulations.gov/#!submitComment;D=CMS-2015-0081-0002

You can use the sample comment below for your comment. Please add additional comments and perspectives that are relevant to your organization and community.

Comments are due before 5:00pm Eastern on Tuesday, September 8, 2015.

SAMPLE COMMENT

I am [describe your title/position, and organization, and your organizational/personal interest in health equity, in race and ethnicity and other demographic data, etc.].

I strongly support the reporting and stratification of the physician quality measures by race, ethnicity, sex, primary language, and disability status in the Physician Quality Reporting System (PQRS) (80 FR 41816-41817) and on the Physician Compare web site (80 FR 41815). Stratification of such physician quality measures will increase transparency and accountability to identify and reduce known and persistent health care disparities. Achieving health equity, eliminating disparities, and improving the health of all groups are among the overarching goals of Healthy People 2020. Achieving health equity also is one of the six elements of the Institute of Medicine’s framework for health care quality. I urge that the Centers for Medicare and Medicaid Services (CMS) require such reporting and stratification as soon as possible, and no later than the Physician Fee Schedule requirements for Calendar Year 2017. Since these data already are available in patient records, there is no need to phase in the implementation of any reporting or stratification requirements.

Given the continued implementation of the Health Information Technology for Economic and Clinical Health (HITECH) Act incentive program for the meaningful use of certified electronic health records (EHRs) by Medicare eligible providers, more and more Medicare physicians will be using their EHRs to electronically report their quality measures to the PQRS. Since patient demographic data (race, ethnicity, sex, primary language) already are required to be collected under the meaningful use requirements (for at least 80% of unique patients under Stage 2), there is no additional burden in electronically reporting these additional data already contained in the EHR.

When additional patient demographic data such as sexual orientation, gender identity, and social, psychological and behavioral data are documented in electronic health records as part of Office of the National Coordinator for Health IT EHR certification and CMS meaningful use requirements, physician quality measures also should be reported and stratified by these additional patient demographic data.

Many Medicare physicians in group practices use the Group Practice Reporting Option (GRPO) web interface or their reports to a Qualified Clinical Data Registry (QCDR) to report their physician quality measures to the PQRS. Given the greater operational capabilities of such physician group practices, electronically extracting and reporting patient demographic data also would not be an administrative burden for these physicians and group practices.

In addition, the patient experience data collected and reported by Consumer Assessment of Health Providers and Systems (CAHPS) vendors used by Medicare physicians already include patient demographic data. Again, there would be no administrative burden for these CAHPS vendors to also report the patient demographic data to the PRQS.

Once physician quality measures are reported to PRQS with stratifications by race, ethnicity, sex, primary language, disability status, and other patient demographic data, these data should then be made publicly available on the Physician Compare web site. Physicians would be able to review these data prior to release on Physician Compare, similar to any other data reported on Physician Compare.

Since Physician Compare already has requirements in place for minimum sample sizes (20 patients in any reportable category), there can be no argument that there would be unreliable data when physician quality measures are stratified by race, ethnicity, or other patient demographic variables. For example, if a physician did not have at least 20 African American patients with diabetes in his or her panel of patients, then diabetes-related quality performance measures would not be reportable separately for that physician’s African American patients.

Finally, I strongly support CMS’ reminder in the proposed rule that Medicare practitioners providing telehealth services are subject to non-discrimination laws, including requirements for effective communication for persons with disabilities under the Rehabilitation Act and requirements for language access for persons with limited English proficiency under Title VI of the Civil Rights Act of 1964 (80 FR 41781). Meanwhile, I urge CMS to work with the Office of Civil Rights to issue implementing regulations for section 1557 of the Affordable Care Act to ensure consistent application of non-discrimination laws across all federally funded health care programs.

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Here are excerpts from the proposed rule with yellow highlighting of the sections with the CMS’ requests for public comments on these issues:

Link to Original Source

This entry was posted in Demographic Data, Demographic Data: Gender Identity, Demographic Data: Language Need, Demographic Data: Race and Ethnicity, Demographic Data: Sexual Orientation, Health Care Disparities, Health Care Reform, Health Care Reform: Quality Improvement, Health Information Technology, Health Information Technology: Meaningful Use. Bookmark the permalink.

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