Risk profiles of frequent outpatients among public assistance recipients in Japan: a retrospective cohort study using a classification and regression trees algorithm

OBJECTIVES: Although several individual risk factors of frequent outpatient attendance (FOA) have previously been reported, identifying a specific risk profile is needed to provide effective intervention for impoverished citizens with complex biopsychosocial needs. We aimed to identify potential ris...

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Detalles Bibliográficos
Autores principales: Nishioka, Daisuke, Kino, Shiho, Ueno, Keiko, Kondo, Naoki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9137343/
https://www.ncbi.nlm.nih.gov/pubmed/35618333
http://dx.doi.org/10.1136/bmjopen-2021-054035

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9137343/
https://www.ncbi.nlm.nih.gov/pubmed/35618333
http://dx.doi.org/10.1136/bmjopen-2021-054035

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