NRHI and Four Regional Health Improvement Collaboratives Publish Study Demonstrating Feasibility of Quality and Cost Comparisons Across States Using Local Claims Data

The Network for Regional Healthcare Improvement (NRHI), a national organization representing over 30 regional health collaboratives (RHICs) and partners working in the pursuit of better health and high-quality affordable care, has been working with RHICs in Colorado, Massachusetts, Oregon and Utah to better understand the cost and quality of healthcare services across delivery organizations. The four RHICs developed methods to comparatively study eight quality measures across systems and geographies, in addition to cost across geographies. The process used for standardizing disparate databases and methods is described in Producing Comparable Cost and Quality Results from All-Payers Claims Databases, featured in the May issue of the American Journal of Managed Care.

A key accomplishment was the development of a Uniform Data Structure (UDS) file format that can be scalable across populations, measures, and research dimensions to provide a consistent method to produce comparable findings across regions.

“Regional Health Improvement Collaboratives are trusted, neutral conveners with rich access and unique knowledge of local data. This project exemplifies the power of bringing RHICs together and demonstrating how their regional APCDs can be used to assess healthcare performance variation across states and regions producing data that can be used to affect healthcare policy.”- Craig Brammer, President and CEO, Network for Regional Healthcare Improvement

 

Partners and funding:

NRHI, Center for Improving Value in Health Care (CIVHC), Massachusetts Health Quality Partners (MHQP) and Comagine Health (formerly HealthInsight) in Oregon and Utah, partnered with the National Bureau of Economic Research (NBER) and Harvard University in the Comparative Health System Performance Initiative Study funded by the Agency for Healthcare Research and Quality (AHRQ). The work described in this paper is a subset of projects being facilitated through NBER and the Harvard University Center of Excellence.

 

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