Trust in AI and Digitalization in Healthcare Across Generational Groups: A Comparative Study of Barriers and Facilitators Toward Equitable Adoption.

NCT07265427 | Recruiting

• 1 other identifier: ANDI-MFA2
• Study Type: observational
• Target: 250
• Locations: 1 country
• Sites: 2

Brief Summary

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.

Conditions

Digital Health; Artificial Intelligence (AI)

Keywords

Artificial Intelligence (AI); Digitalization; Trust; Barriers; Facilitators; Intergenerational Comparision

Outcome Measures

Primary Outcomes (3)

• Trust in digitalization and AI in healthcare

  * 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).

  December 2025 - January 2026

• Perceived barriers to adoption of AI and digitalization in healthcare

  * 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.

  December 2025 - January 2026

• Perceived facilitators to the adoption of AI and digitalization in healthcare

  * 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.

  December 2025 - January 2026

Secondary Outcomes (1)

• eHealth literacy and digital skills

  December 2025 - January 2026

Study Arms (3)

Rehabilitation Center Oldenburg patients and employees

Patients and employees at a rehabilitation center Oldenburg.

training course participants

Seniors participating in "Digital in Old Age" training courses.

Students

Students at HAW Hamburg

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

The study population is chosen in a way that the cohorts can cover all three generations required for the comparative study. Therefore, the cohorts in this study are: * Students at Hamburg University of Applied Sciences. * Seniors participating in "Digital in Old Age" training courses. * Patients and employees at a rehabilitation center in Oldenburg.

You may qualify if:

• 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)

You may not qualify if:

• Individuals under 18
• Inability to give informed consent
• Illiteracy

Sponsors & Collaborators

• Hamburg University of Applied Sciences/Hochschule für Angewandte Wissenschaften Hamburg (HAW Hamburg): collaborator
• Jacobs University Bremen gGmbH: lead

Study Sites (2)

Constructor University (formerly known as Jacobs University)

Bremen, 28759, Germany

RECRUITING

HAW Hamburg

Hamburg, 21033, Germany

ACTIVE NOT RECRUITING

Central Study Contacts

Polina Vedernikova

CONTACT

+4917644507235; Polina.Vedernikova@haw-hamburg.de

Sonia Lippke, Prof. Dr.

CONTACT

04212004730; S.Lippke@jacobs-university.de

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Head of Health Psychology & Behavioral Medicine Unit

Study Record Dates

• First Submitted: November 18, 2025
• First Posted: December 4, 2025
• Study Start: November 24, 2025
• Primary Completion: March 30, 2026
• Study Completion (Estimated): December 30, 2026
• Last Updated: December 19, 2025

Record last verified: 2025-12

Data Sharing

• IPD Sharing: Will not share

Locations

DE (2)