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首页> 外文期刊>International Journal of Environmental Research and Public Health >Detection of Low Adherence in Rural Tuberculosis Patients in China: Application of Morisky Medication Adherence Scale
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Detection of Low Adherence in Rural Tuberculosis Patients in China: Application of Morisky Medication Adherence Scale

机译：中国农村结核病患者低依从性的检测：Morisky药物依从性量表的应用

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摘要

The detection and analysis of cases of low medication adherence is important for helping to control tuberculosis (TB). The purpose of this study was to detect low adherence in rural TB patients by using the eight-item Morisky Medication Adherence Scale of Chinese version (C-MMAS-8) and to further analyze the adherence-related variables. A total of 358 rural TB patients recruited through multi-stage randomized sampling participated in the survey. Data were collected by the use of interviewer-led questionnaires. First, the reliability and validity of the C-MMAS-8 were determined. Second, the adherence level was assessed, and factors related to low adherence were analyzed by using Pearson’s chi-square test and then in multiple logistic regression model. Finally, the prediction of the logistic model was assessed with Receiver Operating Characteristic (ROC) curves. The C-MMAS-8 could be used to detect low adherence in TB patients with good reliability and validity. By using the referred cutoff points of MMAS-8, it was found that more than one-third of the participants had low medication adherence. Further analysis revealed the variables of being older, a longer treatment time, and being depressive were significantly related to low adherence. The ROC of the model was assessed as good using the cutoff point. We conclude that appropriately tailored strategies are needed for health-care providers to help rural TB patients cope with low medication adherence.
机译：检测和分析药物依从性低下的情况对于帮助控制结核病（TB）至关重要。这项研究的目的是通过使用八项中文版的Morisky药物依从性量表（C-MMAS-8）来检测农村结核病患者的低依从性，并进一步分析依从性相关变量。通过多阶段随机抽样招募的358名农村结核病患者参加了调查。通过使用访调员领导的调查表收集数据。首先，确定C-MMAS-8的可靠性和有效性。其次，评估依从性水平，并通过使用Pearson的卡方检验，然后在多元逻辑回归模型中分析与低依从性相关的因素。最后，通过接收者操作特征（ROC）曲线评估了逻辑模型的预测。 C-MMAS-8可用于检测结核病患者的低依从性，具有良好的信度和效度。通过使用提到的MMAS-8临界点，发现超过三分之一的参与者对药物的依从性较低。进一步的分析显示，变老，治疗时间更长和抑郁的变量与依从性低有关。使用截止点将模型的ROC评估为良好。我们得出的结论是，医疗保健提供者需要采取适当的量身定制的策略，以帮助农村结核病患者应对药物依从性较低的问题。

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