Evidence map›Paper›PMID 39928916›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

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.

Zehang Xie, Ru Chen, Wenjuan Ding

Abstract read
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Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Zehang XieSchool of Media and Communication, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0003-2665-2640
Ru ChenCollege of Humanities and New Media, Yangtze University, Jingzhou, China.
Wenjuan DingSchool of Culture and Media, Zhengzhou College of Finance and Economics, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe 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.

methodsA 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.

resultsThe 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.

conclusionThese 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.

Indexed as

Artificial IntelligenceHealth EducationHealth Knowledge, Attitudes, PracticeNeoplasmsSelf EfficacyAdultChinaEducational StatusFemaleHumansLongitudinal StudiesMaleSurveys and QuestionnairesYoung AdultAIGCcancer knowledge gapeducational levelhealth self-efficacylongitudinal study

Identifiers

PMID39928916
PMCPMC11811976

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