Welcome

The Health Research and Educational Trust Disparities Toolkit team is proud to release this updated Toolkit. The Toolkit is a Web-based tool that provides hospitals, health systems, clinics, and health plans information and resources for systematically collecting race, ethnicity, and primary language data from patients.

We trust you will find this Toolkit useful for educating and informing your staff about the importance of data collection, how to implement a framework to collect race, ethnicity, and primary language data at your organization, and ultimately how to use these data to improve quality of care for all populations. For more information on how to use this Toolkit, click here.

Registration Now Free

To access the full Toolkit, including all resources, please click here to register. Because of the importance of collecting good data on patient race, ethnicity, and primary language data, HRET and the American Hospital Association have decided to allow access to the Toolkit for free without purchase.

Acknowledgments

Special thanks to the National Advisory Panel members and the Consortium Members for their input, and to David Baker, MD, MPH, and colleagues at Northwestern University Feinberg School of Medicine for their contribution to the research that informs this work.

Many thanks to the Robert Wood Johnson Foundation for their support of the work for collecting race, ethnicity, and primary language data in hospitals under the Expecting Success: Excellence in Cardiac Care program and for their on-going grant support to improve data collection. We would also like to thank the Commonwealth Fund for their support of research projects that continue to inform this work.

Project Team

Romana Hasnain-Wynia, PhD, Debbie Pierce, Ahmed Haque, Cynthia Hedges Greising, Vera Prince, and Jennifer Reiter

Citation for Toolkit

Hasnain-Wynia, R., Pierce, D., Haque, A., Hedges Greising, C., Prince, V., Reiter, J. (2007) Health Research and Educational Trust Disparities Toolkit. hretdisparities.org accessed on date.