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Full-Text Articles in Medicine and Health Sciences
Social Media Use Among Nonprofit Organizations In Rural Appalachia, Mckenzie Liegel, Jodi L. Southerland, Katie Baker
Social Media Use Among Nonprofit Organizations In Rural Appalachia, Mckenzie Liegel, Jodi L. Southerland, Katie Baker
Journal of Appalachian Health
Introduction: Social media have changed the landscape of health communication for nonprofit organizations (NPOs). Yet, adoption and use of social media lag among NPOs in rural Appalachia due largely to limited infrastructure development.
Methods: Semi-structured phone interviews were conducted in January–March 2018 with 21 NPO representatives in an 8-county region of rural Appalachian Tennessee. NPO representatives were asked questions pertaining to social media use and message content, effective communication strategies, and best practices in social media use. Transcripts were analyzed in April–May 2018 using thematic analysis.
Results: The majority of NPOs had a Facebook page and recognized its …
Identifying Priority And “Bright-Spot” Counties For Diabetes Preventive Care In Appalachia: An Exploratory Analysis, Peter J. Mallow, Michael Topmiller, Jennifer Rankin, Jene Grandmont, David Grolling, Jessica L. Mccann, Mark Carrozza
Identifying Priority And “Bright-Spot” Counties For Diabetes Preventive Care In Appalachia: An Exploratory Analysis, Peter J. Mallow, Michael Topmiller, Jennifer Rankin, Jene Grandmont, David Grolling, Jessica L. Mccann, Mark Carrozza
Journal of Appalachian Health
Introduction: Type 2 diabetes mellitus (T2DM) prevalence and mortality in Appalachian counties is substantially higher when compared to non-Appalachian counties, although there is significant variation within Appalachia.
Purpose: The objectives of this research were to identify low-performing (priority) and high-performing (bright spot) counties with respect to improving T2DM preventive care.
Methods: Using data from the Centers for Medicare and Medicaid (CMS), the Dartmouth Atlas of Health Care, and the Appalachia Regional Commission, conditional maps were created using county-level estimates for T2DM prevalence, mortality, and annual hemoglobin A1c (HbA1c) testing rates. Priority counties were identified using the following criteria: top 33rd …