Predicting Hospice Transitions in Dementia Caregiving Dyads: An Exploratory Machine Learning Approach

ABSTRACT: Abstract

Background and Objectives

Hospice programs assist people with serious illness and their caregivers with aging in place, avoiding unnecessary hospitalizations, and remaining at home through the end-of-life. While evidence is emerging of the myriad of factors influencing end-of-life care transitions among persons living with dementia, current research is primarily cross- sectional and does not account for the effect that changes over time have on hospice care uptake, access, and equity within dyads.

Research Design and Methods

Secondary data analysis linking the National Health and Aging Trends Study to the National Study of Caregiving investigating important social determinants of health and quality-of-life factors of persons living with dementia and their primary

SUBMITTER:  

PROVIDER: S-EPMC9701063 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature