Institute for Communication in Health Care, College of Arts and Social Science, Australian National University, Canberra, Australia.
Macquarie School of Education, Macquarie University, Sydney, Australia.
Patient Educ Couns. 2023 Sep;114:107823. doi: 10.1016/j.pec.2023.107823. Epub 2023 May 25.
Analyse the linguistic and numerical complexity of COVID-19-related health information communicated from Australian national and state governments and health agencies to national and local early childhood education (ECE) settings.
Publicly available health information (n = 630) was collected from Australian national and state governments and health agencies, and ECE agencies and service providers. A purposive sample of documents (n = 33) from 2020 to 2021 was analysed inductively and deductively combining readability, health numeracy and linguistic analyses and focusing on the most frequent actionable health advice topics.
COVID-19 health advice most frequently related to hygiene, distancing and exclusion. Readability scores in 79% (n = 23) of documents were above the recommended grade 6 reading level for the public. Advice was delivered using direct linguistic strategies (n = 288), indirect strategies (n = 73), and frequent mitigating hedges (n = 142). Most numerical concepts were relatively simple, but lacked elaborative features (e.g., analogies) and/or required subjective interpretation.
COVID-19 health advice available to the ECE sector included linguistic and numerical information open to mis/interpretation making it difficult to understand and implement.
Combining readability scores with measures of linguistic and numerical complexity offers a more holistic approach to assessing accessibility of health advice and improving health literacy among its recipients.
分析澳大利亚国家和州政府以及卫生机构向国家和地方幼儿教育(ECE)机构传达的与 COVID-19 相关的健康信息的语言和数字复杂性。
从澳大利亚国家和州政府以及卫生机构和 ECE 机构和服务提供商处收集了公开的健康信息(n=630)。对 2020 年至 2021 年的 33 份有针对性的文件(n=33)进行了归纳和演绎分析,结合了可读性、健康算数和语言分析,并重点关注最常见的可操作的健康建议主题。
COVID-19 健康建议最常涉及卫生、距离和排除。79%(n=23)的文件的可读性得分高于公众推荐的 6 年级阅读水平。建议使用直接语言策略(n=288)、间接策略(n=73)和频繁的减轻缓和语(n=142)传达。大多数数字概念相对简单,但缺乏详细的特征(例如,类比)和/或需要主观解释。
向 ECE 部门提供的 COVID-19 健康建议包括容易被错误/解释的语言和数字信息,使得理解和实施变得困难。
将可读性评分与语言和数字复杂性的衡量标准相结合,提供了一种更全面的方法来评估健康建议的可访问性,并提高其接受者的健康素养。