IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0252205.html
   My bibliography  Save this article

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

Author

Listed:
  • Mahalingam Vasantha
  • Malaisamy Muniyandi
  • Chinnaiyan Ponnuraja
  • Ramalingam Srinivasan
  • Perumal Venkatesan

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 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. Results: 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

Suggested Citation

  • Mahalingam Vasantha & Malaisamy Muniyandi & Chinnaiyan Ponnuraja & Ramalingam Srinivasan & Perumal Venkatesan, 2021. "Bayesian structural equation modeling for post treatment health related quality of life among tuberculosis patients," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-10, May.
  • Handle: RePEc:plo:pone00:0252205
    DOI: 10.1371/journal.pone.0252205
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0252205
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0252205&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0252205?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Asim Ansari & Kamel Jedidi & Laurette Dube, 2002. "Heterogeneous factor analysis models: A bayesian approach," Psychometrika, Springer;The Psychometric Society, vol. 67(1), pages 49-77, March.
    2. Hashem Salarzadeh Jenatabadi & Sedigheh Moghavvemi & Che Wan Jasimah Bt Wan Mohamed Radzi & Parastoo Babashamsi & Mohammad Arashi, 2017. "Testing students’ e-learning via Facebook through Bayesian structural equation modeling," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-19, September.
    3. Richard Scheines & Herbert Hoijtink & Anne Boomsma, 1999. "Bayesian estimation and testing of structural equation models," Psychometrika, Springer;The Psychometric Society, vol. 64(1), pages 37-52, March.
    4. Rajeswari, R. & Muniyandi, M. & Balasubramanian, R. & Narayanan, P.R., 2005. "Perceptions of tuberculosis patients about their physical, mental and social well-being: a field report from south India," Social Science & Medicine, Elsevier, vol. 60(8), pages 1845-1853, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kees Montfort & Johan Oud, 2015. "Book Review," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 257-258, March.
    2. Che Wan Jasimah Bt Wan Mohamed Radzi & Hashem Salarzadeh Jenatabadi & Maisarah Binti Hasbullah, 2015. "Firm Sustainability Performance Index Modeling," Sustainability, MDPI, vol. 7(12), pages 1-17, December.
    3. Lee, Sik-Yum & Song, Xin-Yuan, 2008. "On Bayesian estimation and model comparison of an integrated structural equation model," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4814-4827, June.
    4. Hashem Salarzadeh Jenatabadi & Peyman Babashamsi & Datis Khajeheian & Nader Seyyed Amiri, 2016. "Airline Sustainability Modeling: A New Framework with Application of Bayesian Structural Equation Modeling," Sustainability, MDPI, vol. 8(11), pages 1-17, November.
    5. Kwang-Sim Jang & Jeong-Eun Oh & Gyeong-Suk Jeon, 2022. "Effects of Simulated Laughter Therapy Using a Breathing Exercise: A Study on Hospitalized Pulmonary Tuberculosis Patients," IJERPH, MDPI, vol. 19(16), pages 1-13, August.
    6. Leonidas A. Zampetakis & Melina Vekini & Vassilis Moustakis, 2009. "Entrepreneurial orientation, access to financial resources, and product performance in the Greek commercial TV industry," The Service Industries Journal, Taylor & Francis Journals, vol. 31(6), pages 897-910, April.
    7. Karsten Hansen & Vishal Singh & Pradeep Chintagunta, 2006. "Understanding Store-Brand Purchase Behavior Across Categories," Marketing Science, INFORMS, vol. 25(1), pages 75-90, 01-02.
    8. Igor Filatotchev & Natalia Isachenkova & Tomasz Mickiewicz, 2007. "Corporate Governance, Managers' Independence, Exporting, and Performance of Firms in Transition Economies," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 43(5), pages 62-77, October.
    9. Ali Noudoostbeni & Kiran Kaur & Hashem Salarzadeh Jenatabadi, 2018. "A Comparison of Structural Equation Modeling Approaches with DeLone & McLean’s Model: A Case Study of Radio-Frequency Identification User Satisfaction in Malaysian University Libraries," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    10. David Kaplan & Chansoon Lee, 2018. "Optimizing Prediction Using Bayesian Model Averaging: Examples Using Large-Scale Educational Assessments," Evaluation Review, , vol. 42(4), pages 423-457, August.
    11. Dong Soo Kim & Roger A. Bailey & Nino Hardt & Greg M. Allenby, 2017. "Benefit-Based Conjoint Analysis," Marketing Science, INFORMS, vol. 36(1), pages 54-69, January.
    12. K. A. T. M. Ehsanul Huq & Michiko Moriyama & David Krause & Habiba Shirin & John Koku Awoonor-Willaims & Mahfuzur Rahman & Md Moshiur Rahman, 2022. "Perceptions, Attitudes, Experiences and Opinions of Tuberculosis Associated Stigma: A Qualitative Study of the Perspectives among the Bolgatanga Municipality People of Ghana," IJERPH, MDPI, vol. 19(22), pages 1-19, November.
    13. Lai-Fa Hung & Wen-Chung Wang, 2012. "The Generalized Multilevel Facets Model for Longitudinal Data," Journal of Educational and Behavioral Statistics, , vol. 37(2), pages 231-255, April.
    14. Díez-Mesa, Francisco & de Oña, Rocio & de Oña, Juan, 2018. "Bayesian networks and structural equation modelling to develop service quality models: Metro of Seville case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 1-13.
    15. Asim Ansari & Kamel Jedidi & Sharan Jagpal, 2000. "A Hierarchical Bayesian Methodology for Treating Heterogeneity in Structural Equation Models," Marketing Science, INFORMS, vol. 19(4), pages 328-347, August.
    16. Hashem Salarzadeh Jenatabadi & Che Wan Jasimah Bt Wan Mohamed Radzi & Nadia Samsudin, 2020. "Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach," IJERPH, MDPI, vol. 17(14), pages 1-24, July.
    17. Song, Xin-Yuan & Tang, Nian-Sheng & Chow, Sy-Miin, 2012. "A Bayesian approach for generalized random coefficient structural equation models for longitudinal data with adjacent time effects," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 4190-4203.
    18. Montazeri, Samaneh & Tamaddoni, Ali & Stakhovych, Stanislav & Ewing, Michael, 2021. "Empirical decomposition of customer responses to discount coupons in online FMCG retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    19. Duncan Fong & Peter Ebbes & Wayne DeSarbo, 2012. "A Heterogeneous Bayesian Regression Model for Cross-sectional Data Involving a Single Observation per Response Unit," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 293-314, April.
    20. Yuanyuan Gu & Richard Norman & Rosalie Viney, 2014. "Estimating Health State Utility Values From Discrete Choice Experiments—A Qaly Space Model Approach," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 1098-1114, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0252205. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.