Can the Use of Artificial Intelligence-Generated Content Bridge the Cancer Knowledge Gap? A Longitudinal Study With Health Self-Efficacy as a Mediator and Educational Level as a Moderator.

IF 2.5 4区 医学 Q3 ONCOLOGY
Zehang Xie, Ru Chen, Wenjuan Ding
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引用次数: 0

Abstract

Objectives: The cancer knowledge gap represents a significant disparity in awareness and understanding of cancer-related information across different demographic groups. Leveraging Artificial Intelligence-Generated Content (AIGC) offers a promising approach to personalize health education and potentially bridge this gap. This study aimed to evaluate the potential of AIGC to bridge the cancer knowledge gap, assessing the roles of health self-efficacy as a mediator and educational level as a moderator in this relationship.

Methods: A 6-month longitudinal study was conducted using online surveys distributed to undergraduate students in non-medical disciplines at one university and graduate students in medical specialties at another university in China. The study assessed the frequency of AIGC use, health self-efficacy, and cancer knowledge at two time points.

Results: The results indicated that AIGC use significantly enhanced cancer knowledge levels and health self-efficacy over time. Educational level notably moderated the effects of AIGC use, with non-medical undergraduate students showing greater gains in knowledge and self-efficacy. Additionally, health self-efficacy mediated the relationship between AIGC use and cancer knowledge, underscoring the importance of health self-efficacy. The study confirms the efficacy of AIGC in narrowing the cancer knowledge gap and enhancing health self-efficacy, particularly among students with lower initial medical knowledge.

Conclusion: These findings highlight the potential of integrating AIGC tools in cancer education and public health interventions, particularly for individuals at different educational levels. By tailoring digital health resources to varying educational needs, these interventions could enhance cancer knowledge acquisition, improve health self-efficacy, and contribute to better cancer prevention and control outcomes.

使用人工智能生成的内容能弥合癌症知识鸿沟吗?以健康自我效能为中介、教育程度为调节因子的纵向研究。
目的:癌症知识差距表示不同人口群体对癌症相关信息的认识和理解存在显著差异。利用人工智能生成内容(AIGC)为个性化健康教育提供了一种很有前途的方法,并有可能弥合这一差距。本研究旨在评估AIGC在弥合癌症知识差距方面的潜力,评估健康自我效能感在这一关系中的中介作用和教育水平在这一关系中的调节作用。方法:对中国一所大学非医学专业的本科生和另一所大学医学专业的研究生进行为期6个月的在线调查。该研究在两个时间点评估了AIGC的使用频率、健康自我效能感和癌症知识。结果:使用AIGC可显著提高癌症知识水平和健康自我效能感。教育水平显著调节了AIGC使用的影响,非医学本科学生在知识和自我效能方面表现出更大的收获。此外,健康自我效能介导了AIGC使用与癌症知识之间的关系,强调了健康自我效能的重要性。该研究证实了AIGC在缩小癌症知识差距和提高健康自我效能方面的功效,特别是在初始医学知识较低的学生中。结论:这些发现突出了将AIGC工具整合到癌症教育和公共卫生干预中的潜力,特别是对于不同教育水平的个体。通过根据不同的教育需求定制数字健康资源,这些干预措施可以增强癌症知识的获取,提高健康自我效能,并有助于更好的癌症预防和控制结果。
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来源期刊
Cancer Control
Cancer Control ONCOLOGY-
CiteScore
3.80
自引率
0.00%
发文量
148
审稿时长
>12 weeks
期刊介绍: Cancer Control is a JCR-ranked, peer-reviewed open access journal whose mission is to advance the prevention, detection, diagnosis, treatment, and palliative care of cancer by enabling researchers, doctors, policymakers, and other healthcare professionals to freely share research along the cancer control continuum. Our vision is a world where gold-standard cancer care is the norm, not the exception.
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