Predicting Areas with High Concentration of the Long-Term Uninsured and Their Association with Emergency Department Usage by Uninsured Patients in South Carolina

Background: To predict areas with a high concentration of long-term uninsured (LTU) and Emergency Department (ED) usage by uninsured patients in South Carolina. Methods: American Community Survey data was used to predict the concentration of LTU at the ZIP Code Tabulation Area (ZCTA) level. In a mul...

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Detalles Bibliográficos
Autores principales: Truong, Khoa, Bedi, Julie Summey, Zhang, Lingling, Draghi, Brooke, Shi, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142117/
https://www.ncbi.nlm.nih.gov/pubmed/35627907
http://dx.doi.org/10.3390/healthcare10050771

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142117/
https://www.ncbi.nlm.nih.gov/pubmed/35627907
http://dx.doi.org/10.3390/healthcare10050771

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