关于大麻和驾驶的谷歌信息的质量、可读性和准确性:定量内容分析

IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES JMIR infodemiology Pub Date : 2022-09-27 DOI:10.2196/43001
Maria Josey, Dina Gaid, Lisa D. Bishop, Michael Blackwood, M. Najafizada, Jennifer R. Donnan
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We assessed (1) the quality of information using the Quality Evaluation Scoring Tool (QUEST) and the presence of the Health on the Net (HON) code; (2) the readability of information using the Gunning Fox Index (GFI), Flesch Reading Ease Scale (FRES), Flesch-Kincaid Grade Level (FKGL), and Simple Measure of Gobbledygook (SMOG) scores; and (3) the accuracy of information pertaining to the effects of cannabis consumption, prevalence of DUIC, DUIC effects on driving ability, risk of collision, and detection by law enforcement using an adapted version of the 5Cs website evaluation tool. Results A total of 82 web pages were included in the data analysis. The average QUEST score was 17.4 (SD 5.6) out of 28. The average readability scores were 9.7 (SD 2.3) for FKGL, 11.4 (SD 2.9) for GFI, 12.2 (SD 1.9) for SMOG index, and 49.9 (SD 12.3) for FRES. The readability scores demonstrated that 8 (9.8%) to 16 (19.5%) web pages were considered readable by the public. 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引用次数: 0

摘要

背景公众对大麻影响下驾驶的看法与目前的证据不一致。互联网是人们寻找大麻信息的一个有影响力的信息来源。目的本研究旨在评估使用谷歌加拿大搜索引擎在互联网上发现的DUIC信息的质量、可读性和准确性。方法对谷歌热门搜索网页进行定量内容分析,分析公众可获得的DUIC信息。谷歌使用关键词进行搜索,并选择了前20个页面。如果网页或网络资源中有关于大麻和驾驶的英文文本,则符合条件。我们评估了(1)使用质量评估评分工具(QUEST)的信息质量和网络健康(HON)代码的存在;(2) 使用Gunning Fox指数(GFI)、Flesch阅读能力量表(FRES)、Fletch-Kincaid等级水平(FKGL)和Gobbledygouk简单测量(SMOG)分数的信息可读性;以及(3)与大麻消费的影响、酒后驾车的流行率、酒后驾车对驾驶能力的影响、碰撞风险以及执法部门使用5Cs网站评估工具的检测有关的信息的准确性。结果共有82个网页被纳入数据分析。QUEST平均得分为17.4(标准差5.6)(满分28分)。FKGL的平均可读性得分为9.7(SD 2.3),GFI为11.4(SD 2.9),SMOG指数为12.2(SD 1.9),FRES为49.9(SD 12.3)。可读性得分表明,公众认为8个(9.8%)至16个(19.5%)网页可读。准确性结果显示,在提供每个关键主题信息的网页中,96%(22/23)的网页对大麻消费的影响是准确的;97%(30/31)的DUIC患病率准确;酒后驾车对驾驶能力的影响准确率为92%(49/53);80%(41/51)对碰撞风险准确;71%(35/49)的人对执法部门的检测准确。结论卫生组织在创作内容时应考虑公众的健康素养,以防止误解和延续围绕酒后驾车的普遍误解。需要以公众能够理解的方式提供高质量、可读和准确的信息,以支持知情决策。
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The Quality, Readability, and Accuracy of the Information on Google About Cannabis and Driving: Quantitative Content Analysis
Background The public perception of driving under the influence of cannabis (DUIC) is not consistent with current evidence. The internet is an influential source of information available for people to find information about cannabis. Objective The purpose of this study was to assess the quality, readability, and accuracy of the information about DUIC found on the internet using the Google Canada search engine. Methods A quantitative content analysis of the top Google search web pages was conducted to analyze the information available to the public about DUIC. Google searches were performed using keywords, and the first 20 pages were selected. Web pages or web-based resources were eligible if they had text on cannabis and driving in English. We assessed (1) the quality of information using the Quality Evaluation Scoring Tool (QUEST) and the presence of the Health on the Net (HON) code; (2) the readability of information using the Gunning Fox Index (GFI), Flesch Reading Ease Scale (FRES), Flesch-Kincaid Grade Level (FKGL), and Simple Measure of Gobbledygook (SMOG) scores; and (3) the accuracy of information pertaining to the effects of cannabis consumption, prevalence of DUIC, DUIC effects on driving ability, risk of collision, and detection by law enforcement using an adapted version of the 5Cs website evaluation tool. Results A total of 82 web pages were included in the data analysis. The average QUEST score was 17.4 (SD 5.6) out of 28. The average readability scores were 9.7 (SD 2.3) for FKGL, 11.4 (SD 2.9) for GFI, 12.2 (SD 1.9) for SMOG index, and 49.9 (SD 12.3) for FRES. The readability scores demonstrated that 8 (9.8%) to 16 (19.5%) web pages were considered readable by the public. The accuracy results showed that of the web pages that presented information on each key topic, 96% (22/23) of them were accurate about the effects of cannabis consumption; 97% (30/31) were accurate about the prevalence of DUIC; 92% (49/53) were accurate about the DUIC effects on driving ability; 80% (41/51) were accurate about the risk of collision; and 71% (35/49) were accurate about detection by law enforcement. Conclusions Health organizations should consider health literacy of the public when creating content to help prevent misinterpretation and perpetuate prevailing misperceptions surrounding DUIC. Delivering high quality, readable, and accurate information in a way that is comprehensible to the public is needed to support informed decision-making.
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