Accelerated Adoption of Advanced Health Information Technology in Beacon Community Health Centers.
BACKGROUND
To complement national and state-level HITECH Act programs, 17 Beacon communities were funded to fuel community-wide use of health information technology to improve quality. Health centers in Beacon communities received supplemental funding.


METHODS
This article explores the association between participation in the Beacon program and the adoption of electronic health records. Using the 2010-2012 Uniform Data System, trends in health information technology adoption among health centers located within and outside of Beacon communities were explored using differences in mean t tests and multivariate logistic regression.


RESULTS
Electronic health record adoption was widespread and rapidly growing in all health centers, especially quality improvement functionalities: structured data capture, order and results management, and clinical decision support. Adoption lagged for functionalities supporting patient engagement, performance measurement, care coordination, and public health. The use of advanced functionalities such as care coordination grew faster in Beacon health centers, and Beacon health centers had 1.7 times higher odds of adopting health records with basic safety and quality functionalities in 2010-2012.


CONCLUSIONS
Three factors likely underlie these findings: technical assistance, community-wide activation supporting health information exchange, and the layering of financial incentives. Additional technical assistance and community-wide activation is needed to support the use of functionalities that are currently lagging.
From the Division of Behavioral Health and Intellectual Disabilities Policy, Office of Disability, Aging, and Long-Term Care Policy, Office of the Assistant Secretary for Planning and Evaluation, US Department of Health and Human Services, Washington, DC (EJ); Department of Health Policy and Management, The Milken Institute School of Public Health and Health Services, The George Washington University, Washington, DC (EJ); the Office of Clinical Safety and Quality, Office of the National Coordinator for Health Information Technology, US Department of Health and Human Services, Washington, DC (MW). Emily.Jones@hhs.gov.
Emily
E
Jones
From the Division of Behavioral Health and Intellectual Disabilities Policy, Office of Disability, Aging, and Long-Term Care Policy, Office of the Assistant Secretary for Planning and Evaluation, US Department of Health and Human Services, Washington, DC (EJ); Department of Health Policy and Management, The Milken Institute School of Public Health and Health Services, The George Washington University, Washington, DC (EJ); the Office of Clinical Safety and Quality, Office of the National Coordinator for Health Information Technology, US Department of Health and Human Services, Washington, DC (MW).
Michael
M
Wittie
D000328:Adult; D003151:Community Health Centers / Q000458:organization & administration*; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D008490:Medical Informatics / Q000592:standards*; D008507:Medically Underserved Area; D008875:Middle Aged; D058996:Quality Improvement; D012189:Retrospective Studies; D014481:United States; D055815:Young Adult
Delivery of Health Care; Electronic Medical Records; Health Policy; Information Systems; Populations; Underserved