Claims data analysis of provider-to-provider tele-mentoring program impact on opioid prescribing in Missouri.

Autor: Ogundele OB; Institute for Data Science and Informatics; Missouri Telehealth Network, University of Missouri, Columbia, Missouri., Song X; Institute for Data Science and Informatics; Biomedical Informatics, Biostatistics and Medical Epidemiology (BBME), Columbia, Missouri., Rao P; Institute for Data Science and Informatics; Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, Missouri., Greever-Rice T; Center for Health Policy, University of Missouri, Columbia, Missouri., Boren SA; Institute for Data Science and Informatics; College of Health Sciences, University of Missouri, Columbia, Missouri., Edison K; Missouri Telehealth Network; Center for Health Policy, Department of Dermatology, University of Missouri, Columbia, Missouri., Burgess D; Department of Psychiatry, University of Missouri-Kansas City (UMKC), Kansas City, Missouri., Becevic M; Institute for Data Science and Informatics; Missouri Telehealth Network; Department of Dermatology, University of Missouri, Columbia, Missouri. ORCID: https://orcid.org/0000-0001-6520-1581.

Publikováno v: Journal of opioid management [J Opioid Manag] 2024 Mar-Apr; Vol. 20 (2), pp. 133-147.

Analysis of Healthy Coping Feedback Messages from Diabetes Mobile Apps: Validation Against an Evidence-Based Framework.

Autor: Narindrarangkura P; University of Missouri Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA., Ye Q; University of Missouri Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA., Boren SA; University of Missouri Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.; Department of Health Management and Informatics, University of Missouri, Columbia, MO, USA., Khan U; Department of Medicine, Cosmopolitan International Diabetes and Endocrinology Center, University of Missouri, Columbia, MO, USA., Simoes EJ; University of Missouri Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.; Department of Health Management and Informatics, University of Missouri, Columbia, MO, USA., Kim MS; University of Missouri Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.; Department of Health Management and Informatics, University of Missouri, Columbia, MO, USA.

Publikováno v: Journal of diabetes science and technology [J Diabetes Sci Technol] 2023 Jan; Vol. 17 (1), pp. 152-162. Date of Electronic Publication: 2021 Sep 16.

SEE-diabetes, a patient-centered diabetes self-management education and support for older adults: Findings and information needs from providers' perspectives.

Autor: Narindrarangkura P; University of Missouri Institute for Data Science and Informatics, University of Missouri, Columbia, 5 Hospital Drive, Columbia, MO 65212, United States. Electronic address: pnn2f@umsystem.edu., Boren SA; University of Missouri Institute for Data Science and Informatics, University of Missouri, Columbia, 5 Hospital Drive, Columbia, MO 65212, United States; Department of Health Management and Informatics, University of Missouri, Columbia, 5 Hospital Drive, Columbia, MO, 65212, United States. Electronic address: BorenS@health.missouri.edu., Khan U; Cosmopolitan International Diabetes and Endocrinology Center, Department of Medicine, University of Missouri, Columbia, 5 Hospital Drive, Columbia, MO 65212, United States. Electronic address: khanu@health.missouri.edu., Day M; Department of Family and Community Medicine, University of Missouri, Columbia, 5 Hospital Drive, Columbia, MO 65212, United States. Electronic address: DayM@health.missouri.edu., Simoes EJ; University of Missouri Institute for Data Science and Informatics, University of Missouri, Columbia, 5 Hospital Drive, Columbia, MO 65212, United States; Department of Health Management and Informatics, University of Missouri, Columbia, 5 Hospital Drive, Columbia, MO, 65212, United States. Electronic address: simoese@health.missouri.edu., Kim MS; University of Missouri Institute for Data Science and Informatics, University of Missouri, Columbia, 5 Hospital Drive, Columbia, MO 65212, United States; Department of Health Management and Informatics, University of Missouri, Columbia, 5 Hospital Drive, Columbia, MO, 65212, United States. Electronic address: kimms@health.missouri.edu.

Publikováno v: Diabetes & metabolic syndrome [Diabetes Metab Syndr] 2022 Sep; Vol. 16 (9), pp. 102582. Date of Electronic Publication: 2022 Jul 30.

Linking clinic patients to Internet-based, condition-specific information prescriptions.

Autor: Coberly E (AUTHOR), Boren SA (AUTHOR), Davis JW (AUTHOR), McConnell AL (AUTHOR), Chitima-Matsiga R (AUTHOR), Ge B (AUTHOR), Logan RA (AUTHOR), Steinmann WC (AUTHOR), Hodge RH (AUTHOR)

Publikováno v: Journal of the Medical Library Association. Apr2010, Vol. 98 Issue 2, p160-164. 5p.

Ethical issues in implementation science: perspectives from a National Heart, Lung, and Blood Institute workshop.

Autor: Dickert, Neal W.¹ (AUTHOR) njr@emory.edu, Spiegelman, Donna² (AUTHOR), Blumenthal-Barby, Jennifer S.³ (AUTHOR), Graham, Garth⁴ (AUTHOR), Joffe, Steven⁵ (AUTHOR), Kahn, Jeremy M.⁶ (AUTHOR), Kass, Nancy E.⁷ (AUTHOR), Kim, Scott Y. H.⁸ (AUTHOR), Kerlin, Meeta P.⁹ (AUTHOR), Langford, Aisha T.¹⁰ (AUTHOR), Lavery, James V.¹¹ (AUTHOR), Matlock, Daniel D.¹² (AUTHOR), Fenton, Kathleen N.¹³ (AUTHOR), Mensah, George A.¹⁴ (AUTHOR)

Publikováno v: Implementation Science. 11/19/2024, Vol. 19 Issue 1, p1-9. 9p.