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Diabetes Technology Use in Special Populations: A Narrative Review of Psychosocial Factors

Year: 2024
Type: conference-abstract
Abstract: As diabetes technologies continue to advance, their use is expanding beyond type 1 diabetes to include populations with type 2 diabetes, older adults, pregnant individuals, those with psychiatric conditions, and hospitalized patients. This review examines the psychosocial outcomes of these technologies across these diverse groups, with a focus on treatment satisfaction, quality of life, and self-management behaviors. Despite demonstrated benefits in glycemic outcomes, the adoption and sustained use of these technologies face unique challenges in each population. By highlighting existing research and identifying gaps, this review seeks to emphasize the need for targeted studies and tailored support strategies to understand and optimize psychosocial outcomes and well-being.
DOI: 10.1177/19322968241296853
Authors: Michael S. Hughes, Grazia Aleppo, Lia Bally, Annanda Fernandes Moura B. Batista, Sue A. Brown, Eileen R. Faulds, Linda A. Gonder-Frederick, Diana Isaacs, Anna R. Kahkoska, Jacob Ortega, William H. Polonsky, Meaghan M. Stumpf
Institutions: Stanford Medicine, Stanford University, Northwestern University, University of Bern, University Hospital of Bern, University of Virginia, The Ohio State University, Cleveland Clinic, University of North Carolina at Chapel Hill, Campbell University, University of California San Diego
Language: English
Field: Medicine
Open Access status: bronze
Awards: G1093184439, G1934788161, Developing a diabetes self-management mHealth simulation platform for youth, G2180789635, G844559411, G9000066153
OpenAlex ID: W4404543403
Cites: 105
Cited by: 6
Related to: 10