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Factors associated with medication amounts considered excessive among university students: a questionnaire survey of pharmacy students and those in non-medical schools

机译:与大学生中用药量有关的因素:药房学生和非医学院校学生的问卷调查

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Background Better insight and knowledge on factors associated with perception of medication numbers and amounts would contribute greatly to our current understanding of patient psychological response regarding taking medications, and would allow us to improve drug administration support and adherence. This study explored associations between attitudes toward medication dosage in a questionnaire survey that examined demographic characteristics, the number of tablets and types of prescription medications considered excessive by participants, current medication and supplement use, personal experiences with medications, and perceptions surrounding medications. Methods An original anonymous questionnaire was used for this survey. A total of 934 university students completed and returned surveys with no missing data. Results Mean values ± standard deviation for excessive thresholds for tablets and types of medications reported by all participants were 4.21?±?1.63 tablets and 4.00?±?1.25 medications, respectively. The number of tablets considered excessive was analyzed using a multiple regression model, which accounted for the variance (model-adjusted R 2?=?0.095, p (| beta |?> 0.094, p R 2?=?0.087 p 0.084, p Conclusions Individual attitudes toward medication dosage are influenced by individual factors. Thus, patients should be provided with personalized advice when they receive medication instructions.
机译:背景技术对与药物数量和剂量的感知有关的因素的更好的见识和知识将大大有助于我们目前对患者关于服药的心理反应的理解,并使我们能够改善药物管理的支持和依从性。这项研究在问卷调查中探讨了对药物剂量的态度之间的关联,该调查调查了人口统计学特征,参与者认为过量的片剂和处方药类型,当前用药和补充剂使用,个人用药经验以及对用药的看法。方法采用原始匿名问卷进行调查。共有934名大学生完成了调查并返回了调查,但没有缺失数据。结果所有参与者报告的过量片剂阈值和药物类型的平均值±标准偏差分别为4.21±1.63片和4.00±1.25片。使用多元回归模型分析被认为过量的药片数量,该模型考虑了方差(模型调整后的R 2 ?=?0.095,p(| beta |?> 0.094,p R 2 ?=?0.087 p 0.084,p结论个体对用药剂量的态度受各个因素的影响,因此,在接受用药指导时应向患者提供个性化建议。

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