Trust in AI and Digitalization in Healthcare Across Generational Groups: A Comparative Study of Barriers and Facilitators Toward Equitable Adoption.
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Digital Health, Artificial Intelligence (AI). Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Germany
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
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"
Overview
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.
Detailed description
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.
Primary outcome measures
- Trust in digitalization and AI in healthcare [Time frame: December 2025 - January 2026]
- Perceived barriers to adoption of AI and digitalization in healthcare [Time frame: December 2025 - January 2026]
- Perceived facilitators to the adoption of AI and digitalization in healthcare [Time frame: December 2025 - January 2026]
Secondary outcome measures (1)
- eHealth literacy and digital skills [Time frame: December 2025 - January 2026]
Eligibility criteria
Inclusion criteria
- 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)
Exclusion criteria
- Individuals under 18
- Inability to give informed consent
- Illiteracy
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Study design
- Observational model
- Cohort
Study locations
Germany · 2 centers
- Constructor University (formerly known as Jacobs University) — Bremen
- HAW Hamburg — Hamburg
Identifiers
NCT: NCT07265427 · ANDI-MFA2