Acceptance and Perceived Benefits of Digitalization by Medical Assistants and Other Generational Groups (ANDI-MFA-2): "Trust in AI and Digitalization in Healthcare Across Generational Groups: A Comparative Study of Barriers and Facilitators Toward Equitable Adoption"
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 250
- 试验地点
- 2
- 主要终点
- Trust in digitalization and AI in healthcare
研究概览
简要总结
This study aims to investigate differences in perception of barriers and facilitators of digitalization and Artificial Intelligence (AI) usage in healthcare across different generational groups (youth, working-age adults, and seniors). The results will help create practical recommendations for public health projects and consultants to support fair and inclusive use of new digital tools in healthcare. A cross-sectional online survey will be conducted among students at HAW, patients and employees in the rehabilitation center in Oldenburg, and seniors participating in the "Digital im Alter"(DIA) project.
详细描述
This study will use an online questionnaire to collect data from respondents about their attitudes toward digital technologies and artificial intelligence in healthcare, as well as their opinions about barriers and facilitators for the equal adoption of modern technologies. The survey will be conducted in November to December 2025.
The survey will use validated scales, including the eHealth Literacy Scale (eHEALS) and the Human-Computer Trust Scale (HCTS), combined with additional items assessing perceived barriers and facilitators. Open-ended questions will allow participants to express their views on barriers and facilitators in their own words and from their perspective.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Age 18 or older
- •Belonging to one of the defined participant groups
- •Consent to participate in the online survey
- •Ability to participate in the survey (e.g., sufficient German or English language skills)
排除标准
- •Individuals under 18
- •Inability to give informed consent
- •Illiteracy
结局指标
主要结局
Trust in digitalization and AI in healthcare
时间窗: December 2025 - January 2026
* Measured with the adapted Human-Computer Trust Scale (HCTS). Total scores are calculated by summing ten items rated on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree), resulting in a minimum possible score of 10 and a maximum of 50. Higher scores indicate a greater level of trust in the computer system or AI. * Comparison across generational groups (youth, working-age adults, seniors).
Perceived barriers to adoption of AI and digitalization in healthcare
时间窗: December 2025 - January 2026
* Measured with 5 Likert-scale items (accuracy, privacy and security, lack of human contact, ethics, lack of knowledge). Each item is rated from 1 = no concern to 5 = very strong concern. * Open-ended question: "What is your biggest concern about AI and digital technologies in healthcare and why?" * Comparison across generational groups (youths, working-age adults, seniors). Analysis of universal and generation-specific barriers.
Perceived facilitators to the adoption of AI and digitalization in healthcare
时间窗: December 2025 - January 2026
* Measured with 6 Likert-scale items (clear explanations, regulation, professional review, transparent data use, training, success stories). Each item is rated from 1 = not effective to 5 = very effective. * Open-ended question: "What would help you personally to trust in digital technologies and AI in healthcare?" * Comparison across generational groups (youths, working-age adults, seniors). Analysis of universal and generation-specific facilitators.
次要结局
- eHealth literacy and digital skills(December 2025 - January 2026)
研究者
Prof. Dr. Sonia Lippke
Head of Health Psychology & Behavioral Medicine Unit
Jacobs University Bremen gGmbH