Predictors of high trust and the role of confidence levels in seeking cancer-related information.

IF 2.5 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES Informatics for Health & Social Care Pub Date : 2022-01-02 Epub Date: 2021-05-20 DOI:10.1080/17538157.2021.1925676
Lea Sacca, Veronica Maroun, Milad Khoury
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引用次数: 3

Abstract

One of the most commonly searched topics on the internet in the United States is cancer. Our study aims to provide a general overview of the predictors of trust for two health information sources, doctors and the internet, when seeking cancer-related information. The data were obtained from the 2018 HINTS 5 Cycle 2 survey, which was administered from January through May to a total of 3,504 respondents. We carried out next a series of ordinal logistic regression models to identify predictors of high trust in doctors and the internet separately for cancer-seeking information. Demographic predictor variables varied as predictors of high trust for cancer knowledge across both sources. Respondents who reported less confidence in their ability to seek cancer information had significantly higher odds of high trust in both doctors (OR = 8.43, CI: 5.58-12.73) and the internet (OR = 2.93, CI: 1.97-4.35) as compared to those who reported being "completely confident" in their ability to obtain cancer information. Understanding the key predictors of trust in doctors and the internet is crucial to the enhancement of health. The role of confidence as a predictor of trust in seeking cancer information has been shown to consistently influence the levels of trust attributed to each topic.

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高度信任的预测因子和信心水平在寻求癌症相关信息中的作用。
在美国,互联网上最常搜索的话题之一是癌症。我们的研究旨在提供对医生和互联网这两个健康信息来源在寻求癌症相关信息时的信任预测因子的总体概述。这些数据来自2018年1月至5月对3504名受访者进行的第2轮调查。接下来,我们进行了一系列有序逻辑回归模型,分别确定医生和互联网对癌症寻求信息的高度信任的预测因子。人口统计学预测变量在两种来源中对癌症知识的高度信任的预测变量有所不同。与那些对自己获取癌症信息的能力“完全有信心”的人相比,对自己寻求癌症信息的能力缺乏信心的受访者对医生(OR = 8.43, CI: 5.58-12.73)和互联网(OR = 2.93, CI: 1.97-4.35)的高度信任的几率明显更高。了解对医生和互联网的信任的关键预测因素对增进健康至关重要。在寻求癌症信息时,信心作为信任的预测因子的作用已被证明会持续影响每个话题的信任水平。
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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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