Using measures of race to make clinical predictions: Decision making, patient health, and fairness.
Proc Natl Acad Sci U S A
; 120(35): e2303370120, 2023 08 29.
Article
em En
| MEDLINE
| ID: mdl-37607231
ABSTRACT
The use of race measures in clinical prediction models is contentious. We seek to inform the discourse by evaluating the inclusion of race in probabilistic predictions of illness that support clinical decision making. Adopting a static utilitarian framework to formalize social welfare, we show that patients of all races benefit when clinical decisions are jointly guided by patient race and other observable covariates. Similar conclusions emerge when the model is extended to a two-period setting where prevention activities target systemic drivers of disease. We also discuss non-utilitarian concepts that have been proposed to guide allocation of health care resources.
Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Pacientes
/
Tomada de Decisão Clínica
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
Proc Natl Acad Sci U S A
Ano de publicação:
2023
Tipo de documento:
Article