Long-Term Impact of an Electronic Health Record-Enabled, Team-Based, and Scalable Population Health Strategy Based on the Chronic Care Model.

dc.contributor.author

Kawamoto, Kensaku

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Anstrom, Kevin J

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Anderson, John B

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Bosworth, Hayden B

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Lobach, David F

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McAdam-Marx, Carrie

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Ferranti, Jeffrey M

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Shang, Howard

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Yarnall, Kimberly SH

dc.date.accessioned

2024-01-31T20:29:01Z

dc.date.available

2024-01-31T20:29:01Z

dc.date.issued

2016-01

dc.description.abstract

The Chronic Care Model (CCM) is a promising framework for improving population health, but little is known regarding the long-term impact of scalable, informatics-enabled interventions based on this model. To address this challenge, this study evaluated the long-term impact of implementing a scalable, electronic health record (EHR)- enabled, and CCM-based population health program to replace a labor-intensive legacy program in 18 primary care practices. Interventions included point-of-care decision support, quality reporting, team-based care, patient engagement, and provider education. Among 6,768 patients with diabetes receiving care over 4 years, hemoglobin A1c levels remained stable during the 2-year pre-intervention and post-intervention periods (0.03% and 0% increases, respectively), compared to a 0.42% increase expected based on A1c progression observed in the United Kingdom Prospective Diabetes Study long-term outcomes cohort. The results indicate that an EHR-enabled, team- based, and scalable population health strategy based on the CCM may be effective and efficient for managing population health.

dc.identifier.issn

1942-597X

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https://hdl.handle.net/10161/29947

dc.language

eng

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AMIA

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AMIA ... Annual Symposium proceedings. AMIA Symposium

dc.rights.uri

https://creativecommons.org/licenses/by-nc/4.0

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Humans

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Diabetes Mellitus

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Long-Term Care

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Prospective Studies

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Point-of-Care Systems

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Primary Health Care

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Patient Care Team

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Electronic Health Records

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United Kingdom

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Glycated Hemoglobin

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Long-Term Impact of an Electronic Health Record-Enabled, Team-Based, and Scalable Population Health Strategy Based on the Chronic Care Model.

dc.type

Journal article

duke.contributor.orcid

Bosworth, Hayden B|0000-0001-6188-9825

pubs.begin-page

686

pubs.end-page

695

pubs.organisational-group

Duke

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School of Medicine

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Basic Science Departments

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Clinical Science Departments

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Institutes and Centers

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Biostatistics & Bioinformatics

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Family Medicine and Community Health

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Medicine

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Ophthalmology

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Psychiatry & Behavioral Sciences

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Family Medicine and Community Health, Family Medicine

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Medicine, Endocrinology, Metabolism, and Nutrition

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Medicine, General Internal Medicine

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Duke Cancer Institute

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Duke Clinical Research Institute

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Institutes and Provost's Academic Units

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Center for the Study of Aging and Human Development

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Initiatives

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Duke Science & Society

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Population Health Sciences

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Duke Innovation & Entrepreneurship

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Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences

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Duke - Margolis Center For Health Policy

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Biostatistics & Bioinformatics, Division of Biostatistics

pubs.publication-status

Published

pubs.volume

2016

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