用概率依从性量表(ProMAS)测量2型糖尿病患者的药物依从行为

Dini Ayu Rahmawati, Anna Wahyuni Widayanti, MPH., Apt., Ph.D., Susi Ari Kristina
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摘要

糖尿病是一种以血糖水平升高为特征的慢性代谢性疾病。糖尿病是一种需要长期治疗的慢性疾病,这影响了药物的依从性。依从性测量可以使用问卷调查方法来完成,例如概率药物依从性量表(ProMAS)问卷调查。本研究旨在探讨人口统计学因素与糖尿病患者药物依从性评分的关系。本研究采用横断面设计的定量研究方法。采用便利抽样法,于2023年1月至4月期间在日惹特区各初级卫生保健机构选择112名受访者。ProMAS评分结果显示,42.9%的受访者有中高依从性,41.1%的受访者有高依从性。可以说,日惹市的糖尿病患者在用药上是坚持的。最常见的非依从性行为为4个问题:忘记服药或注射药物(61.61%);服药或注射药物(其中1项)比平时慢(55.36%);受访者并非总是在每天的同一时间服用或注射药物(62.5%);受访者在过去一个月内至少有一次忘记服用或注射药物(58.04%)。根据Shapiro-Wilk正态性检验,p值为<0.001,表明数据非正态分布。统计学分析显示,年龄与依从性无显著相关(p=0.059)。总依从性评分与用药总次数(p=0.472)和用药频次(p=0.485)变量之间无显著相关。总依从性评分与性别的关系(p=0.422);付款方式(p=0.937);需要帮助(p=0.597);用药类型(p=0.467);最高学历(p=0.251);就业状况(p=0.521)与这些变量之间无显著相关。这说明依从性高低的糖尿病患者不受上述因素的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measurement of Medication Adherence Behavior in Type 2 Diabetes Mellitus Patients Using Probabilistic Medication Adherence Scale (ProMAS)
Diabetes is a chronic metabolic disease characterized by an increase in blood glucose levels. Diabetes mellitus is a chronic disease that requires long-term treatment, which affects medication adherence. Adherence measurement can be done using a questionnaire approach, such as the Probabilistic Medication Adherence Scale (ProMAS) questionnaire. This study aims to determine the relationship between demographic factors and medication adherence scores in patients with diabetes mellitus. The research uses a quantitative research approach with a cross-sectional design. Convenience sampling method was used to select 112 respondents between January-April 2023 at various primary healthcare facilities in the Special Region of Yogyakarta. The ProMAS scoring results showed that 42.9% of respondents had moderate-to-high adherence levels and 41.1% had high adherence levels. It can be said that patients with diabetes mellitus in Yogyakarta are adherent in using medication. The most frequent non-adherent behavior was found in 4 questions: respondents forgot to take or inject medication (61.61%); respondents took or injected medication (one of them) slower than usual schedule (55.36%); respondents did not always take or inject medication at exactly the same time every day (62.5%); and respondents forgot to take or inject medication at least once in the past month (58.04%). Based on the Shapiro-Wilk normality test, a p-value of <0.001 was obtained, indicating that the data was not normally distributed. Statistical analysis showed no significant relationship between age (p=0.059) and adherence level. For the variables of total adherence score with total number of medications (p=0.472) and frequency of medication (p=0.485), the results showed no significant relationship between these variables. The relationship between total adherence score and gender (p=0.422); payment method (p=0.937); need for assistance (p=0.597); type of medication (p=0.467); highest education level (p=0.251); and employment status (p=0.521) showed no significant relationship between these variables. This indicates that diabetes mellitus patients with low or high adherence levels are not affected by the above factors.
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