Identifying Dementia Severity Among People Living With Dementia Using Administrative Claims Data.

ABSTRACT:

Objectives

There is currently no reliable tool for classifying dementia severity level based on administrative claims data. We aimed to develop a claims-based model to identify patients with severe dementia among a cohort of patients with dementia.

Design

Retrospective cohort study.

Setting and participants

We identified people living with dementia (PLWD) in US Medicare claims data linked with the Minimum Data Set (MDS) and Outcome and Assessment Information Set (OASIS).

Methods

Severe dementia was defined based on cognitive and functional status data available in the MDS and OASIS. The dataset was randomly divided into training (70%) and validation (30%) sets, and a logistic regression model was developed to predict severe dementia using baseline (assessed in

SUBMITTER: Anand P 

PROVIDER: S-EPMC11368613 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature