Bayesian structural equation modeling for post treatment health related quality of life among tuberculosis patients.

ABSTRACT:

Background

The use of Bayesian Structural Equation Model (BSEM) to evaluate the impact of TB on self-reported health related quality of life (HRQoL) of TB patients has been not studied.

Objective

To identify the factors that contribute to the HRQoL of TB patients using BSEM.

Methods

This is a latent variable modeling with Bayesian approach using secondary data. HRQoL data collected after one year from newly diagnosed 436 TB patients who were registered and successfully completed treatment at Government health facilities in Tiruvallur district, south India under the National TB Elimination Programme (NTEP) were used for this analysis. In this study, the four independent latent variables such as physical well-being (PW = PW1-7), mental well-being (MW = MW1-7), social we

SUBMITTER: Vasantha M 

PROVIDER: S-EPMC8162623 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature