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 | |
| dc.contributor.author | Anstrom, Kevin J | |
| dc.contributor.author | Anderson, John B | |
| dc.contributor.author | Bosworth, Hayden B | |
| dc.contributor.author | Lobach, David F | |
| dc.contributor.author | McAdam-Marx, Carrie | |
| dc.contributor.author | Ferranti, Jeffrey M | |
| dc.contributor.author | Shang, Howard | |
| dc.contributor.author | 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 | |
| dc.identifier.uri | ||
| dc.language | eng | |
| dc.publisher | AMIA | |
| dc.relation.ispartof | AMIA ... Annual Symposium proceedings. AMIA Symposium | |
| dc.rights.uri | ||
| dc.subject | Humans | |
| dc.subject | Diabetes Mellitus | |
| dc.subject | Long-Term Care | |
| dc.subject | Prospective Studies | |
| dc.subject | Point-of-Care Systems | |
| dc.subject | Primary Health Care | |
| dc.subject | Patient Care Team | |
| dc.subject | Electronic Health Records | |
| dc.subject | United Kingdom | |
| dc.subject | Glycated Hemoglobin | |
| dc.title | 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 | |
| pubs.organisational-group | School of Medicine | |
| pubs.organisational-group | Basic Science Departments | |
| pubs.organisational-group | Clinical Science Departments | |
| pubs.organisational-group | Institutes and Centers | |
| pubs.organisational-group | Biostatistics & Bioinformatics | |
| pubs.organisational-group | Family Medicine and Community Health | |
| pubs.organisational-group | Medicine | |
| pubs.organisational-group | Ophthalmology | |
| pubs.organisational-group | Psychiatry & Behavioral Sciences | |
| pubs.organisational-group | Family Medicine and Community Health, Family Medicine | |
| pubs.organisational-group | Medicine, Endocrinology, Metabolism, and Nutrition | |
| pubs.organisational-group | Medicine, General Internal Medicine | |
| pubs.organisational-group | Duke Cancer Institute | |
| pubs.organisational-group | Duke Clinical Research Institute | |
| pubs.organisational-group | Institutes and Provost's Academic Units | |
| pubs.organisational-group | Center for the Study of Aging and Human Development | |
| pubs.organisational-group | Initiatives | |
| pubs.organisational-group | Duke Science & Society | |
| pubs.organisational-group | Population Health Sciences | |
| pubs.organisational-group | Duke Innovation & Entrepreneurship | |
| pubs.organisational-group | Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences | |
| pubs.organisational-group | Duke - Margolis Center For Health Policy | |
| pubs.organisational-group | Biostatistics & Bioinformatics, Division of Biostatistics | |
| pubs.publication-status | Published | |
| pubs.volume | 2016 |
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