Xu Minlan, Markström Urban, Lyu Juncheng, Xu Lingzhong
School of Public Health, Shandong University, Jinan 250012, China.
Department of Social Work, Umeå University, 901 87 Umeå, Sweden.
Int J Environ Res Public Health. 2017 Mar 1;14(3):248. doi: 10.3390/ijerph14030248.
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.
检测和分析用药依从性低的病例对于控制结核病(TB)很重要。本研究的目的是使用中文版八项Morisky用药依从性量表(C-MMAS-8)检测农村结核病患者的低依从性,并进一步分析与依从性相关的变量。通过多阶段随机抽样招募的358名农村结核病患者参与了调查。数据通过访员主导的问卷收集。首先,确定C-MMAS-8的信度和效度。其次,评估依从性水平,并使用Pearson卡方检验分析与低依从性相关的因素,然后纳入多重逻辑回归模型。最后,用受试者工作特征(ROC)曲线评估逻辑模型的预测能力。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。使用MMAS-8的参考分界点发现,超过三分之一的参与者用药依从性低。进一步分析显示,年龄较大、治疗时间较长和抑郁等变量与低依从性显著相关。使用分界点评估模型的ROC良好。我们得出结论,医疗保健提供者需要制定适当的策略,以帮助农村结核病患者应对用药依从性低的问题。