Racial Disparities and Mistrust in End-of-Life Care
Abstract
There are established racial disparities in healthcare, including during end-of-life care, when poor communication and trust can lead to suboptimal outcomes for patients and their families. In this work, we find that racial disparities which have been reported in existing literature are also present in the MIMIC-III database. We hypothesize that one underlying cause of this disparity is due to mistrust between patient and caregivers, and we develop multiple possible trust metric proxies (using coded interpersonal variables and clinical notes) to measure this phenomenon more directly. These metrics show even stronger disparities in end-of-life care than race does, and they also tend to demonstrate statistically significant higher levels of mistrust for black patients than white ones. Finally, we demonstrate that these metrics improve performance on three clinical tasks: in-hospital mortality, discharge against medical advice (AMA) and modified care status (e.g., DNR, DNI, etc.).
Cite
Text
Boag et al. "Racial Disparities and Mistrust in End-of-Life Care." Proceedings of the 3rd Machine Learning for Healthcare Conference, 2018.Markdown
[Boag et al. "Racial Disparities and Mistrust in End-of-Life Care." Proceedings of the 3rd Machine Learning for Healthcare Conference, 2018.](https://mlanthology.org/mlhc/2018/boag2018mlhc-racial/)BibTeX
@inproceedings{boag2018mlhc-racial,
title = {{Racial Disparities and Mistrust in End-of-Life Care}},
author = {Boag, Willie and Suresh, Harini and Celi, Leo Anthony and Szolovits, Peter and Ghassemi, Marzyeh},
booktitle = {Proceedings of the 3rd Machine Learning for Healthcare Conference},
year = {2018},
pages = {587-602},
volume = {85},
url = {https://mlanthology.org/mlhc/2018/boag2018mlhc-racial/}
}