Preferences for Monitoring Comprehensive Heart Failure Care: A Latent Class Analysis.

ABSTRACT:

Objective

To measure preference heterogeneity for monitoring systems among patients with a chronic heart failure.

Methods

A best-worst scaling experiment (BWS case 3) was conducted among patients with chronic heart failure to assess preferences for hypothetical monitoring care scenarios. These were characterized by the attributes mobility, risk of death, risk of hospitalization, type and frequency of monitoring, risk of medical device, and system-relevant complications. A latent class analysis (LCA) was used to analyze and interpret the data. In addition, a market simulator was used to examine which treatment configurations participants in the latent classes preferred.

Results

Data from 278 respondents were analyzed. The LCA identified four heterogeneous classes. For

SUBMITTER: Muhlbacher AC 

PROVIDER: S-EPMC10770186 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature