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Drug Literacy in Iran: the Experience of Using The Single Item Health Literacy Screening (SILS) Tool

机译:伊朗的毒品扫盲:使用单项健康扫盲筛查(SILS)工具的经验

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摘要

Drug and health literacy is a key determinant of health outcomes. There are several tools to assess drug and health literacy. The objective of this article is to determine drug literacy level and its relationships with other factors using a single item screening tool. A cross-sectional survey was conducted among 1104 people in Qazvin province, Iran. Based on the proportional-to-size method, participants over 15 years old with ability to read were recruited randomly from 6 counties in Qazvin province and were interviewed directly. To determine drug literacy relationship with other variables, Chi-Square and t-test were used. Also, logistic regression model was used to adjust the relationship between drug literacy and other relevant variables. Response rate in clusters was 100%. Findings showed that inadequate drug literacy in Qazvin province is 30.3% and it was in association with (1) age (p = .000), (2) marital status (p = .000), (3) educational attainment (p = .000), (4) home county (p = .000), (5) residing area (p = .000), (6) type of basic health insurance (p = .000), (7) complementary health insurance status (p = .000), and (8) family socioeconomic status (p = .000). After adjusting for these variables using logistic regression model, the association between (1), (3), (4), (5) and (8) with drug literacy level was confirmed. The analysis also showed that this method can also be used in other health care settings in Iran for drug and health literacy rapid assessment.
机译:药物和健康素养是健康结果的关键决定因素。有几种评估毒品和健康素养的工具。本文的目的是使用单个项目筛选工具确定毒品素养水平及其与其他因素的关系。在伊朗的加兹温省对1104人进行了横断面调查。根据比例大小方法,从Qazvin省的6个县中随机招募了15岁以上具有阅读能力的参与者,并直接进行了访谈。为了确定药物读写能力与其他变量的关系,使用卡方检验和t检验。此外,使用逻辑回归模型来调整药物素养与其他相关变量之间的关系。集群的响应率为100%。调查结果显示,加兹温省的药物知识不足率为30.3%,这与(1)年龄(p = .000),(2)婚姻状况(p = .000),(3)受教育程度(p =。 000),(4)家乡县(p = .000),(5)居住地区(p = .000),(6)基本健康保险类型(p = .000),(7)补充健康保险状况( p = .000),以及(8)家庭社会经济地位(p = .000)。在使用逻辑回归模型对这些变量进行调整之后,确认了(1),(3),(4),(5)和(8)与药物素养水平之间的关联。分析还表明,该方法还可用于伊朗的其他医疗机构,以进行毒品和健康素养的快速评估。

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