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Dataset Information

Partial Personalization of Medical Treatment Decisions: Adverse Effects and Possible Solutions.


ABSTRACT:

Background

Personalizing medical treatment decisions based on patient-specific risks and/or preferences can improve health outcomes. Decision makers frequently select treatments based on partial personalization (e.g., personalization based on risks but not preferences or vice versa) due to a lack of data about patient-specific risks and preferences. However, partially personalizing treatment decisions based on a subset of patient risks and/or preferences can result in worse population-level health outcomes than no personalization and can increase the variance of population-level health outcomes.

Methods

We develop a new method for partially personalizing treatment decisions that avoids these problems. Using a case study of antipsychotic treatment for schizophrenia, as well a

SUBMITTER: Weyant C 

PROVIDER: S-EPMC8606611 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature