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贝叶斯结构方程模型在结核病患者治疗后健康相关生活质量中的应用。

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

机构信息

Department of Statistics, ICMR-National Institute for Research in Tuberculosis, Indian Council of Medical Research, Chetpet, Chennai, India.

Department of Health Economics, ICMR-National Institute for Research in Tuberculosis, Indian Council of Medical Research, Chetpet, Chennai, India.

出版信息

PLoS One. 2021 May 28;16(5):e0252205. doi: 10.1371/journal.pone.0252205. eCollection 2021.

DOI:10.1371/journal.pone.0252205
PMID:34048437
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8162623/
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<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.

CONCLUSIONS

The 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.

摘要

背景

尚未有研究使用贝叶斯结构方程模型(BSEM)评估结核病对结核病患者自评健康相关生活质量(HRQoL)的影响。

目的

使用 BSEM 确定影响结核病患者 HRQoL 的因素。

方法

这是一项使用贝叶斯方法的潜在变量建模,使用二级数据。本分析使用了印度南部蒂鲁瓦卢尔区政府卫生设施中登记并成功完成国家结核病消除规划(NTEP)治疗的 436 例新诊断结核病患者在治疗后一年收集的 HRQoL 数据。在这项研究中,考虑了四个独立的潜在变量,如身体福祉(PW = PW1-7)、心理福祉(MW = MW1-7)、社会福祉(SW = SW1-4)和习惯。使用马尔可夫链蒙特卡罗算法构建 BSEM,以确定对完成治疗的结核病患者 HRQoL 有影响的因素。

结果

收敛后通过 46300 次观测得到了贝叶斯估计值,PW、MW、SW 对 HRQoL 的标准化结构回归估计值分别为 0.377(p<0.001)、0.543(p<0.001)和 0.208(p<0.001)。PW、MW 和 SW 等潜在变量与结核病患者的 HRQoL 显著相关。年龄与结核病患者的 HRQoL 呈显著负相关。

结论

本研究展示了 BSEM 在评估 HRQoL 中的应用。该方法可用于研究不同时间点结核病患者 HRQoL 的精确估计值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d630/8162623/cd51a2d4d031/pone.0252205.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d630/8162623/e939118d57b2/pone.0252205.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d630/8162623/bf5c3b712e1f/pone.0252205.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d630/8162623/cd51a2d4d031/pone.0252205.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d630/8162623/e939118d57b2/pone.0252205.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d630/8162623/bf5c3b712e1f/pone.0252205.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d630/8162623/cd51a2d4d031/pone.0252205.g003.jpg

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