A comprehensive framework to estimate the frequency, duration, and risk factors for diagnostic delays using bootstrapping-based simulation methods

BACKGROUND: The incidence of diagnostic delays is unknown for many diseases and specific healthcare settings. Many existing methods to identify diagnostic delays are resource intensive or difficult to apply to different diseases or settings. Administrative and other real-world data sources may offer...

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Detalles Bibliográficos
Autores principales: Miller, Aaron C, Cavanaugh, Joseph E, Arakkal, Alan T, Koeneman, Scott H, Polgreen, Philip M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103428/
https://www.ncbi.nlm.nih.gov/pubmed/37060037
http://dx.doi.org/10.1186/s12911-023-02148-w

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