Inferring a consensus problem list using penalized multistage models for ordered data.

ABSTRACT: A patient's medical problem list describes his or her current health status and aids in the coordination and transfer of care between providers. Because a problem list is generated once and then subsequently modified or updated, what is not usually observable is the provider-effect. That is, to what extent does a patient's problem in the electronic medical record actually reflect a consensus communication of that patient's current health status? To that end, we report on and analyze a unique interview-based design in which multiple medical providers independently generate problem lists for each of three patient case abstracts of varying clinical difficulty. Due to the uniqueness of both our data and the scientific objectives of our analysis, we apply and extend so-called multistage models

SUBMITTER: Boonstra PS 

PROVIDER: S-EPMC8345315 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature