Department of Statistics, University of Johannesburg, Doornfontein Campus, Johannesburg, South Africa; School of Mathematics, Statistics and Computer Sciences, University of KwaZulu-Natal Westville Campus, Durban, South Africa.
School of Mathematics, Statistics and Computer Sciences, University of KwaZulu-Natal Westville Campus, Durban, South Africa.
Indian J Tuberc. 2020 Oct;67(4):483-487. doi: 10.1016/j.ijtb.2020.07.010. Epub 2020 Jul 15.
Although, Tuberculosis (TB) is curable if the treatment is adhered to and completed it is still a major cause of death globally including South Africa. The success rate for TB treatment was 77.2% in 2014, of which more than 37 000 lives were lost because of it in South Africa. Several studies have been carried out on this subject, but the difference between the present study and the previous work done is the methodology proposed to establish the determinants of anti-TB medication compliance. Understanding the determinant of anti-TB medication compliance will help the policymakers on the appropriate decision to reduce the menace of the disease.
In this study, we proposed logistic regression to a sample of individuals taken from the National Income Dynamics Survey data that self-reported to have been TB diagnosed. A comparison of the classical logistic regression and parametric bootstrap estimation methods was done for this data to determine the model that best describes the data.
The results obtained from the two methods were similar and identified gender, language, alcohol, English literacy, belief in religion and household SES as the determinants of TB patients on medication. The standard errors for the bootstrap logistic model were bigger than the standard errors of the classical model.
We conclude that the classical model is better and for this scenario, there was no need to resample. The outcome of this study supports the existing findings that controlling the social and economic determinants of health will help eradicate TB.
尽管结核病（TB）如果坚持并完成治疗是可以治愈的，但它仍然是全球范围内的主要死亡原因，包括南非。2014 年，结核病治疗的成功率为 77.2%，其中南非有超过 37000 人因此失去生命。针对这一主题已经进行了多项研究，但本研究与之前的工作的不同之处在于提出了一种确定抗结核药物依从性的决定因素的方法。了解抗结核药物依从性的决定因素将有助于决策者做出适当的决策，以减少疾病的威胁。
在这项研究中，我们对从国家收入动态调查数据中抽取的、自我报告患有结核病的个体样本提出了逻辑回归。对该数据进行了经典逻辑回归和参数引导估计方法的比较，以确定最能描述数据的模型。
两种方法得到的结果相似，确定了性别、语言、酒精、英语读写能力、宗教信仰和家庭社会经济地位是结核病患者用药的决定因素。引导逻辑模型的标准误差大于经典模型的标准误差。
我们得出结论，经典模型更好，对于这种情况，不需要重新采样。这项研究的结果支持现有的发现，即控制健康的社会和经济决定因素将有助于根除结核病。
