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

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. To identify the factors that contribute to the HRQoL of TB patients using BSEM. This is a latent variable modeling with Bayes...

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Bibliographic Details
Published in:PloS one 2021-05, Vol.16 (5), p.e0252205-e0252205
Main Authors: Vasantha, Mahalingam, Muniyandi, Malaisamy, Ponnuraja, Chinnaiyan, Srinivasan, Ramalingam, Venkatesan, Perumal
Format: Article
Language:English
Subjects:
Age
Algorithms
Bayesian analysis
Biology and Life Sciences
Care and treatment
Clinical trials
Councils
Drafting software
Drug abuse
Editing
Estimates
Health services
Illnesses
Lifestyles
Markov chains
Medical diagnosis
Medical research
Medicine and Health Sciences
Mental health
Methodology
Multivariate statistical analysis
Older people
Patients
Program evaluation
Quality of life
Smoke
Smoking
Social Sciences
Statistical analysis
Statistics
Structural equation modeling
Substance use disorder
Tuberculosis
Variables
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Summary: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. To identify the factors that contribute to the HRQoL of TB patients using BSEM. 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 well-being (SW = SW1-4) and habits were considered. The BSEM was constructed using Markov Chain Monte Carlo algorithm for identifying the factors that contribute to the HRQoL of TB patients who completed treatment. Bayesian estimates were obtained using 46,300 observations after convergence and the standardized structural regression estimate of PW, MW, SW on HRQoL were 0.377 (p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0252205