A Novel Method for Assessing Risk-Adjusted Diagnostic Coding Specificity for Depression Using a U.S. Cohort of over One Million Patients

A Novel Method for Assessing Risk-Adjusted Diagnostic Coding Specificity for Depression Using a U.S. Cohort of over One Million Patients

Depression is a prevalent and debilitating mental health condition that poses significant challenges for healthcare providers, researchers, and policymakers. The diagnostic coding specificity of depression is crucial for improving patient care, resource allocation, and health outcomes. We propose a...

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Bibliographic Details
Main Authors: Alexandra Glass, Nalander C. Melton, Connor Moore, Keyerra Myrick, Kola Thao, Samiat Mogaji, Anna Howell, Kenneth Patton, John Martin, Michael Korvink, Laura H. Gunn
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Diagnostics
Subjects:
coding specificity
depression
ICD-10
Poisson binomial
principal diagnosis
secondary diagnosis
Online Access:https://www.mdpi.com/2075-4418/14/4/426

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https://www.mdpi.com/2075-4418/14/4/426

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