Pope Johanna, Byrne Paula, Devane Declan, Purnat Tina D, Dowling Maura
School of Nursing and Midwifery, University of Galway, Galway, H91 TK33, Ireland.
Evidence Synthesis Ireland, University of Galway, Galway, H91 TK33, Ireland.
HRB Open Res. 2024 Jan 31;5:70. doi: 10.12688/hrbopenres.13641.2. eCollection 2022.
Misinformation represents a serious and growing concern for public health and healthcare health; and has attracted much interest from researchers, media, and the public over recent years. Despite increased concern about the impacts of misinformation on health and wellbeing, however, the concept of health misinformation remains underdeveloped. In particular, there is a need to clarify how certain types of health information come to be designated as "misinformation," what characteristics are associated with this classification, and how the concept of misinformation is applied in health contexts.
Developing a shared understanding of what it means for health information to be "misinformation" is an important first step to accurately identifying at-risk groups, clarifying pathways of vulnerability, and agreeing goals for intervention. It will also help to ensure that misinformation interventions are accessible, acceptable, and of benefit to the populations to which they are directed. We will therefore examine the characteristics, measurement, and applications of misinformation in health contexts.
We will undertake a hybrid concept analysis, following a framework from Schwartz-Barcott & Kim (2000). This framework comprises three phases: a theoretical phase, fieldwork phase, and final analysis phase. In the theoretical phase, a search of seven electronic citation databases (PsycInfo, socINDEX, JSTOR, CINAHL, Scopus, MEDLINE and PubMed Central via PubMed, and ScienceDirect) will be conducted in order to identify original research, review, and theoretical papers, published in English between 2016 and 2022, which examine "health misinformation." Data from the literature will be synthesised using evolutionary concept analysis methods from Rodgers (2000). In the fieldwork phase, a purposive sampling strategy will be employed to recruit stakeholders for participation in semi-structured interviews. Interviews will be analysed using thematic analysis. The final phase will integrate findings from the theoretical and fieldwork analyses.
错误信息对公众健康和医疗保健构成了严重且日益令人担忧的问题；近年来引起了研究人员、媒体和公众的广泛关注。然而，尽管人们越来越关注错误信息对健康和幸福的影响，但健康错误信息的概念仍未得到充分发展。特别是，有必要阐明某些类型的健康信息如何被认定为“错误信息”，这种分类与哪些特征相关，以及错误信息的概念在健康背景下是如何应用的。
对健康信息成为“错误信息”意味着什么形成共同理解，是准确识别高危群体、阐明脆弱性途径以及商定干预目标的重要第一步。这也将有助于确保错误信息干预措施对其针对的人群是可获取、可接受且有益的。因此，我们将研究健康背景下错误信息的特征、测量方法和应用。
我们将按照施瓦茨 - 巴科特和金（2000年）的框架进行混合概念分析。该框架包括三个阶段：理论阶段、实地调查阶段和最终分析阶段。在理论阶段，将对七个电子引文数据库（PsycInfo、socINDEX、JSTOR、CINAHL、Scopus、通过PubMed的MEDLINE和PubMed Central以及ScienceDirect）进行检索，以识别2016年至2022年期间以英文发表的研究“健康错误信息”的原创研究、综述和理论论文。文献数据将使用罗杰斯（2000年）的进化概念分析方法进行综合。在实地调查阶段，将采用目的抽样策略招募利益相关者参与半结构化访谈。访谈将采用主题分析进行。最后阶段将整合理论分析和实地调查分析的结果。
