A Medicaid-Funded Statewide Diabetes Quality Improvement Collaborative: Ohio 2020‒2022.
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| Title: | A Medicaid-Funded Statewide Diabetes Quality Improvement Collaborative: Ohio 2020‒2022. |
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| Authors: | Bolen, Shari D. (AUTHOR), Joseph, Joshua J. (AUTHOR), Dungan, Kathleen M. (AUTHOR), Beverly, Elizabeth A. (AUTHOR), Perzynski, Adam T. (AUTHOR), Einstadter, Douglas (AUTHOR), Fiegl, Jordan (AUTHOR), Love, Thomas E. (AUTHOR), Spence, Douglas (AUTHOR), Jenkins, Katherine (AUTHOR), Lorenz, Allison (AUTHOR), Uddin, Shah Jalal (AUTHOR), Adams, Kelly McCutcheon (AUTHOR), Konstan, Michael W. (AUTHOR), Applegate, Mary S. (AUTHOR) |
| Source: | American Journal of Public Health. Dec2023, Vol. 113 Issue 12, p1254-1257. 4p. |
| Subjects: | Diabetes prevention, Glycosylated hemoglobin, Institutional cooperation, Health services accessibility, Managed care programs, Evaluation of human services programs, Glycemic control, Diabetes, Cost control, Public health, Primary health care, Human services programs, Quality assurance, Interprofessional relations, Medical schools, Medicaid, Endowments, Health impact assessment, Adverse health care events |
| Geographic Terms: | Ohio |
| Abstract: | We used a collective impact model to form a statewide diabetes quality improvement collaborative to improve diabetes outcomes and advance diabetes health equity. Between 2020 and 2022, in collaboration with the Ohio Department of Medicaid, Medicaid Managed Care Plans, and Ohio's seven medical schools, we recruited 20 primary care practices across the state. The percentage of patients with hemoglobin A1c greater than 9% improved from 25% to 20% over two years. Applying our model more broadly could accelerate improvement in diabetes outcomes. (Am J Public Health. 2023;113(12):1254–1257. https://doi.org/10.2105/AJPH.2023.307410) [ABSTRACT FROM AUTHOR] |
| Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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