Rianto Leonov, Agustina Ika, Alfian Sofa D, Iskandarsyah Aulia, Pradipta Ivan Surya, Abdulah Rizky
Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia.
IKIFA College of Health Science, Jakarta, Indonesia.
Front Pharmacol. 2024 Jan 16;14:1257353. doi: 10.3389/fphar.2023.1257353. eCollection 2023.
Medication non-adherence is a significant concern in tuberculosis (TB) treatment, requiring a precise understanding of the associated risk factors. However, there is a lack of appropriate means to assess the risk factors among TB patients in Indonesia, leading to the development and validation of a structured questionnaire for this purpose. This study unfolded in two distinct phases, namely, the first included questionnaire construction through framework development, item generation, item screening, and pretesting (in 50 patients). The second comprised questionnaire validation with 346 participants using confirmatory factor analysis (CFA) and structural equation modeling-partial least squares (SEM-PLS). Additionally, reliability testing was conducted using Cronbach's alpha and composite reliability statistical techniques. In the development phase, 168 items were defined, consisting of sociodemographic characteristics (8 items) and risk factors for medication non-adherence (160 items). Expert evaluation reduced the number of items to 60, which decreased to 22 after performing a pilot study. Subsequent SEM-PLS modeling resulted in the identification of 14 valid items, representing five major risk factors, namely, socioeconomics (4 items), healthcare team (4 items), condition (3 items), therapy (2 items), and patient (1 item). Only condition-related factors were found to influence non-adherence, and all constructs showed good reliability based on Cronbach's alpha (>0.6) and composite reliability (0.7) values. The final 22 items that emerged from this rigorous process indicated a valid and robust questionnaire for assessing risk factors of medication non-adherence among pulmonary tuberculosis patients in Indonesia. The developed questionnaire was positioned to be a valuable tool for healthcare professionals, policymakers, and scientists in creating patient-centered strategies and interventions to address non-adherence.
药物治疗不依从是结核病治疗中的一个重大问题,需要精确了解相关风险因素。然而,印度尼西亚缺乏评估结核病患者风险因素的适当方法,因此为此目的开发并验证了一份结构化问卷。本研究分两个不同阶段展开,第一阶段包括通过框架开发、项目生成、项目筛选和预测试(针对50名患者)来构建问卷。第二阶段包括对346名参与者进行问卷验证,采用验证性因子分析(CFA)和结构方程模型 - 偏最小二乘法(SEM-PLS)。此外,使用克朗巴哈系数和组合信度统计技术进行信度测试。在开发阶段,定义了168个项目,包括社会人口统计学特征(8个项目)和药物治疗不依从的风险因素(160个项目)。专家评估将项目数量减少到60个,在进行预试验后减少到22个。随后的SEM-PLS建模确定了14个有效项目,代表五个主要风险因素,即社会经济因素(4个项目)、医疗团队(4个项目)、病情(3个项目)、治疗(2个项目)和患者(1个项目)。仅发现与病情相关的因素会影响不依从,并且基于克朗巴哈系数(>0.6)和组合信度(0.7)值,所有结构都显示出良好的信度。从这个严格过程中得出的最终22个项目表明,该问卷对于评估印度尼西亚肺结核患者药物治疗不依从的风险因素是有效且可靠的。所开发的问卷有望成为医疗保健专业人员、政策制定者和科学家制定以患者为中心的策略和干预措施以解决不依从问题的宝贵工具。