Using Nomogram to Predict the Hospitalization Forgone Among Internal Migrants in China: A Nationally Representative Cross-Sectional Secondary Data Analysis

BACKGROUND: Migrants are one of the most vulnerable populations facing many health issues. Inadequate health care access and unequal insurance are the most challenging. This study aimed to construct a nomogram to predict the risk of hospitalization forgone among internal migrants in China. METHODS:...

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Detalles Bibliográficos
Autores principales: Niu, Li, Liu, Yan, Wang, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464368/
https://www.ncbi.nlm.nih.gov/pubmed/34584472
http://dx.doi.org/10.2147/RMHP.S301234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464368/
https://www.ncbi.nlm.nih.gov/pubmed/34584472
http://dx.doi.org/10.2147/RMHP.S301234

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