信息熵表的开发与验证。

IF 2.5 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES Informatics for Health & Social Care Pub Date : 2024-09-18 DOI:10.1080/17538157.2024.2398996
Ayla Hendekci,Ayşegül Sarıoğlu Kemer
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引用次数: 0

摘要

信息与所有医疗保健专业人员密切相关。护士是医疗行业中的佼佼者,长期与社会打交道,因其职责所在,必须努力提供准确的信息。信息瘟疫是指在危机时刻大量传播虚假或不可靠的信息。本研究旨在开发一种有效、可靠的工具,用于识别个人应对信息流行的方法。本研究采用的是方法论。样本包括 504 人(N = 504)。使用信息表和信息流行量表收集数据。样本分为两个,分别用于解释性因子分析(EFA)和确认性因子分析(CFA)。量表的编制采用了健康和社会研究中的量表编制程序,包括三个步骤。EFA 分析显示,14 个项目分属两个因子,即认知和素养。项目因子载荷介于 0.334 和 0.907 之间。CFA 证实了双因素量表结构。量表的总 Cronbach's alpha 为 0.87,综合信度值为 0.89。类内相关系数(ICC)为 0.857。根据心理测量学的评价,信息熵量表是一个有效、可靠的工具,能够进行一致的测量。
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Development and validation of the infodemic scale.
Infodemic is closely related to all healthcare professionals. Nurses take the lead in health professions that spend a long time with the society and try to present accurate information due to their roles. Infodemic is the massive spread of false or unreliable information in times of crisis. This study aims to develop a valid and reliable tool that identifies individuals' approaches to infodemic. This study was methodological. The sample consisted of 504 people (N = 504). Data were collected using the Information Form and the Infodemic Scale. The sample was divided into two for the explanatory factor analysis (EFA) and the confirmatory factor analysis (CFA). The scale was developed using the scale development process in health and social research, which consists of three steps. The EFA revealed 14 items under two factors, which are awareness and literacy. Item factor loadings were found to range between 0.334 and 0.907. The CFA confirmed the two-factor scale structure. The total Cronbach's alpha of the scale was 0.87, and the composite reliability value was 0.89. The intra-class correlation coefficient (ICC) value was found to be 0.857. According to psychometric evaluations, the Infodemic Scale is a valid and reliable instrument that can make consistent measurements.
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来源期刊
CiteScore
6.10
自引率
4.20%
发文量
21
审稿时长
>12 weeks
期刊介绍: Informatics for Health & Social Care promotes evidence-based informatics as applied to the domain of health and social care. It showcases informatics research and practice within the many and diverse contexts of care; it takes personal information, both its direct and indirect use, as its central focus. The scope of the Journal is broad, encompassing both the properties of care information and the life-cycle of associated information systems. Consideration of the properties of care information will necessarily include the data itself, its representation, structure, and associated processes, as well as the context of its use, highlighting the related communication, computational, cognitive, social and ethical aspects. Consideration of the life-cycle of care information systems includes full range from requirements, specifications, theoretical models and conceptual design through to sustainable implementations, and the valuation of impacts. Empirical evidence experiences related to implementation are particularly welcome. Informatics in Health & Social Care seeks to consolidate and add to the core knowledge within the disciplines of Health and Social Care Informatics. The Journal therefore welcomes scientific papers, case studies and literature reviews. Examples of novel approaches are particularly welcome. Articles might, for example, show how care data is collected and transformed into useful and usable information, how informatics research is translated into practice, how specific results can be generalised, or perhaps provide case studies that facilitate learning from experience.
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