Evidence map›Paper›PMID 34048437›Full record

ArticlePloS one2021

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

Mahalingam Vasantha, Malaisamy Muniyandi, Chinnaiyan Ponnuraja, Ramalingam Srinivasan, Perumal Venkatesan

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Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mahalingam VasanthaDepartment of Statistics, ICMR-National Institute for Research in Tuberculosis, Indian Council of Medical Research, Chetpet, Chennai, India.ORCID 0000-0003-0390-346X
Malaisamy MuniyandiDepartment of Health Economics, ICMR-National Institute for Research in Tuberculosis, Indian Council of Medical Research, Chetpet, Chennai, India.
Chinnaiyan PonnurajaDepartment of Statistics, ICMR-National Institute for Research in Tuberculosis, Indian Council of Medical Research, Chetpet, Chennai, India.
Ramalingam SrinivasanDepartment of Statistics, ICMR-National Institute for Research in Tuberculosis, Indian Council of Medical Research, Chetpet, Chennai, India.
Perumal VenkatesanDepartment of Statistics, ICMR-National Institute for Research in Tuberculosis, Indian Council of Medical Research, Chetpet, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

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

methodsThis 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.

resultsBayesian 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<0.001), 0.543 (p<0.001) and 0.208 (p<0.001) respectively. The latent variables PW, MW and SW were significantly associated with HRQoL of TB patients. The age was found to be significantly negatively associated with HRQoL of TB patients.

conclusionsThe current study demonstrated the application of BSEM in evaluating HRQoL. This methodology may be used to study precise estimates of HRQoL of TB patients in different time points.

Indexed as

Bayes TheoremHumansMarkov ChainsQuality of LifeTuberculosis

Identifiers

PMID34048437
PMCPMC8162623

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