糖尿病患者和非糖尿病患者对医疗保健中基于人工智能的解决方案的感知:来自丹麦中部健康队列的横断面调查

IF 1 Q4 ENDOCRINOLOGY & METABOLISM Diabetes epidemiology and management Pub Date : 2023-01-01 DOI:10.1016/j.deman.2022.100114
Jonas F.R. Schaarup , Ravi Aggarwal , Else-Marie Dalsgaard , Kasper Norman , Ole Lindgård Dollerup , Hutan Ashrafian , Daniel R. Witte , Annelli Sandbæk , Adam Hulman
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引用次数: 2

摘要

患者对基于人工智能(AI)的健康相关技术的接受程度在很大程度上取决于他们对AI的感知和信任。这一研究领域尚未得到广泛的研究,特别是在糖尿病患者中。他们中的很大一部分人在日常生活中经常使用卫生技术来管理自己的病情,这可能使他们更愿意采用基于人工智能的解决方案。我们的研究旨在调查医疗保健中基于人工智能的解决方案的看法,以及糖尿病患者和非糖尿病患者对人工智能的积极态度相关的特征。方法向丹麦中部健康队列的12,755名参与者发送了一份在线调查,包括10个问题和6个与当前技术使用、数据共享和人工智能相关的场景。关于人工智能的利益和风险的问题,以及对情景的反应被用作结果。使用多项逻辑回归来检查哪些特征与看到人工智能的益处与风险相关,包括糖尿病状况、年龄、性别、教育程度、健康素养、可穿戴设备的使用以及对数据共享的看法。对医疗保健相关场景中基于人工智能的解决方案的接受程度进行了类似的分析。共有8420名参与者参与了这项调查。大多数参与者(88%)以前听说过人工智能。46%的参与者同意人工智能的好处大于风险的说法,而只有2%的人同意相反的说法,30%的人不确定。我们没有发现证据表明不同的糖尿病状态有不同的观点。患有糖尿病的人不太愿意用基于人工智能的技术取代医疗专业人员,尽管如果人工智能由人类控制,大多数人仍然对人工智能持开放态度。尽管人们对人工智能及其对医疗保健的好处普遍持积极态度,但在不同的医疗保健场景中,人类互动似乎在定义对人工智能的积极态度方面发挥了重要作用,尤其是在糖尿病患者中。这凸显了未来以患者为中心的人工智能解决方案开发过程的迫切需要。
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Perception of artificial intelligence-based solutions in healthcare among people with and without diabetes: A cross-sectional survey from the health in Central Denmark cohort

Background

Patients’ acceptance of artificial intelligence (AI) based health-related technologies depend strongly on their perception and trust of AI. This research field has not been studied extensively, especially among people living with diabetes. A large proportion of them frequently use health technologies in their everyday lives to manage their condition, which may make them more prepared to adopt AI-based solutions. Our study aimed to investigate the perception of AI-based solutions in healthcare, and characteristics associated with positive attitudes towards AI among people with and without diabetes.

Methods

An online survey was sent to 12,755 participants in the Health in Central Denmark cohort, including 10 questions and six scenarios related to current technology use, data sharing, and AI. The question on benefits and risks of AI, and the responses to the scenarios were used as outcomes. Multinomial logistic regression was used to examine which characteristics were associated with seeing the benefit of AI over the risks, including diabetes status, age, sex, education, health literacy, the use of wearable devices, and views on data sharing. A similar analysis was conducted on the acceptance of AI-based solutions in healthcare-related scenarios.

Findings

8,420 participants responded to the survey. Most participants (88%) had previously heard about AI. 46% of participants agreed with the statement that the benefits of AI outweigh the risks, while only 2% agreed with the opposite statement, and 30% were unsure. We did not find evidence for a differential opinion by diabetes status. Having diabetes was associated with less openness to replace healthcare professionals by AI-based technologies, although most people were still open to AI if controlled by humans.

Interpretation

Despite the generally positive perception of AI and its benefits to healthcare, human interaction seemed to play an important role in defining positive attitudes to AI across different healthcare scenarios, especially among people with diabetes. This highlights the pressing need for a patient-centered development process of AI-based solutions in the future.

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来源期刊
Diabetes epidemiology and management
Diabetes epidemiology and management Endocrinology, Diabetes and Metabolism, Public Health and Health Policy
CiteScore
1.10
自引率
0.00%
发文量
0
审稿时长
14 days
期刊最新文献
Reply to increase in diabetic deaths during COVID-19 pandemic. Some comments High prevalence of prediabetes and type 2 diabetes, and identification of associated factors, in high-risk adults in Vietnam: A cross-sectional study editorial board Contents Increase in diabetic deaths during COVID-19 pandemic. Some comments
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