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Factors influencing subjects' comprehension of a set of medicine package inserts

机译:影响受试者对一组药物包装说明书的理解的因素

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Background Package inserts (PIs) should promote the safe and effective use of medicines. The comprehension of PIs is related to socio-demographic features, such as education. Objectives To evaluate the participants' comprehension of a sample of PIs and to build an explanatory model of subjects' understanding of the content of these documents. Setting The data were collected from municipalities, city halls, firefighters, the military, schools and charities from two Portuguese regions. Methods Cross-sectional descriptive survey: 503 participants, homogeneously distributed by education and gender. The self-administered tool comprised questions on socio-demographic data, literacy tasks and comprehension evaluation of 12 purposively selected PIs. A logistic regression analysis was used. Main outcome measures Scores of numeracy tasks and comprehension. Results The average comprehension score for the PIs was 63 % (+/- 32 %), with 48 % (n = 239) of the participants scoring < 75 %. The most important predictors in explaining a comprehension score a parts per thousand yen75 % were having > 12 years of education and correctly performing a numeracy task [respectively, OR 49.6 (CI 95 %: 22.8-108) and OR 2.48 (CI 95 %: 1.5-4.2)]. Conclusion An explanatory model of subjects' knowledge about the content of the tested PIs was built. Given that a high level of education and literacy were found to be the most relevant predictors for acceptable comprehension rates, PIs should be clearly written to assure that they are understood by all potential users, including the less educated. The evaluated PIs may thus need to be simplified.
机译:背景包装插页(PI)应该促进安全有效地使用药物。对效绩指标的理解与社会人口特征有关,例如教育。目的评估参与者对PI样本的理解,并建立受试者对这些文档内容理解的解释模型。设置数据来自两个葡萄牙地区的市政当局,市政厅,消防员,军队,学校和慈善机构。方法横断面描述性调查:503名参与者,按教育程度和性别均匀分布。自我管理的工具包括有关社会人口数据,识字任务和对12个有意选择的效绩指标的综合评估的问题。使用逻辑回归分析。主要结果指标算术任务和理解的分数。结果PI的平均理解分数为63%(+/- 32%),其中48%(n = 239)的参与者得分<75%。在解释理解分数每千日元中最重要的预测指标75%接受了12年以上的教育并正确执行了计算任务[分别为OR 49.6(CI 95%:22.8-108)和OR 2.48(CI 95%: 1.5-4.2)]。结论建立了受试者对测试的PI内容知识的解释模型。鉴于高水平的教育和素养是可接受的理解率的最相关预测因素,因此,应清楚地编写PI,以确保所有潜在用户(包括教育程度较低的用户)都能理解PI。因此,可能需要简化评估的PI。

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