PDF(Pubmed)
Abstract：
Emerging digital technologies promise to improve breast cancer care, however lack of awareness among clinicians often prevents timely adoption. This study aims to investigate current awareness and intention-to-use of three technologies among breast cancer healthcare professionals (HCP): (1) digital health applications (DHA), (2) artificial intelligence (AI), and (3) blockchain technology (BC). A 22-item questionnaire was designed and administered before and after a 30 min educational presentation highlighting technology implementation examples. Technology awareness and intention-to-use were measured using 7-point Likert scales. Correlations between demographics, technology awareness, intention-to-use, and eHealth literacy (GR-eHEALS scale) were analyzed. 45 HCP completed the questionnaire, of whom 26 (57.8%) were female. Age ranged from 24 to 67 {mean age (SD): 44.93 ± 12.62}. Awareness was highest for DHA (68.9%) followed by AI (66.7%) and BC (24.4%). The presentation led to a non-significant increase of intention-to-use AI {5.37 (±1.81) to 5.83 (±1.64)}. HCPs´ intention-to-use BC after the presentation increased significantly {4.30 (±2.04) to 5.90 (±1.67), p < 0.01}. Mean accumulated score for GR-eHEALS averaged 33.04 (± 6.61). HCPs´ intended use of AI significantly correlated with eHealth literacy (ρ = 0.383; p < 0.01), intention-to-use BC (ρ = 0.591; p < 0.01) and participants´ age (ρ = -0.438; p < 0.01). This study demonstrates the effect that even a short practical presentation can have on HCPs´ intention-to-use emerging digital technologies. Training potential professional users should be addressed alongside the development of new information technologies and is crucial to increase HCPs´ corresponding awareness and intended use.
摘要：
新兴的数字技术有望改善乳腺癌护理，然而，临床医生缺乏意识往往会阻碍及时采用。本研究旨在调查乳腺癌医疗保健专业人员（HCP）对三种技术的当前认识和使用意向：（1）数字健康应用（DHA），（2）人工智能（AI），和（3）区块链技术（BC）。在30分钟的教育演示之前和之后，设计并实施了22个项目的问卷，重点介绍了技术实施示例。使用7点Likert量表测量技术意识和使用意向。人口统计学之间的相关性，技术意识,使用意向，和电子健康素养(GR-eHEALS量表)进行分析。45名HCP完成了问卷，其中26人(57.8%)为女性。年龄范围从24到67{平均年龄(SD):44.93±12.62}。DHA的知晓率最高(68.9%)，其次是AI(66.7%)和BC(24.4%)。呈现导致使用意向AI{5.37(±1.81)至5.83(±1.64)}的非显著增加。出现后HCP的意向使用BC显著增加{4.30(±2.04)至5.90(±1.67),p<0.01}。GR-eHEALS的平均累积得分平均为33.04(±6.61)。HCP对AI的预期使用与电子健康素养显着相关（ρ=0.383；p<0.01），使用意向BC（ρ=0.591；p<0.01）和参与者年龄（ρ=-0.438；p<0.01）。这项研究表明，即使是简短的实际演示也会对HCP使用新兴数字技术的意图产生影响。培训潜在的专业用户应与新信息技术的发展同时解决，对于提高HCP的相应意识和预期用途至关重要。
