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CompletedNCT07265427TRUST-AIUpdated Sep 25, 2026

Trust in AI and Digitalization in Healthcare Across Generational Groups

An observational study in Digital Health and Artificial Intelligence (AI), sponsored by Jacobs University Bremen gGmbH. Completed at 2 sites in Germany. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-09-25.

Sponsored by Jacobs University Bremen gGmbH · Observational

Study type
Observational
Model
Cohort
Time perspective
Cross-sectional
Enrollment
188
Ages
18 Years and older
Sex
All
01

Study 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.

Read the 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.

02

Conditions studied

  • Digital Health
  • Artificial Intelligence (AI)

Keywords

  • Artificial Intelligence (AI)
  • Digitalization
  • Trust
  • Barriers
  • Facilitators
  • Intergenerational Comparision
03

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
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.

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

Exclusion Criteria:

  • Individuals under 18
  • Inability to give informed consent
  • Illiteracy
04

Study design

Observational model
Cohort
Time perspective
Cross-sectional
Enrollment
188 participants (actual)
Patient registry
No

Groups and cohorts

  • Patients in medical rehabilitation and employees in a rehabilitation center

    Patients in medical rehabilitation and employees in a rehabilitation center

  • Training course participants

    Seniors participating in "Digital in Old Age" training courses

  • Students

    Students at HAW Hamburg

05

What researchers measure

Primary outcomes

  1. 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).

    Time frame: December 2025 - January 2026

  2. 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.

    Time frame: December 2025 - January 2026

  3. 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.

    Time frame: December 2025 - January 2026

Secondary outcomes

  1. eHealth literacy and digital skills

    * Measured with the eHEALS (The eHealth Literacy Scale). Total scores are calculated by summing eight items rated on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree), resulting in a minimum possible score of 8 and a maximum of 40. Higher scores indicate better perceived eHealth literacy. * Descriptive analysis and role as a potential moderator of trust and acceptance across generational groups.

    Time frame: December 2025 - January 2026

06

Study locations

2 sites
  • Constructor University (formerly known as Jacobs University)
    Bremen, 28759, Germany
  • HAW Hamburg
    Hamburg, 21033, Germany
07

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

08

Registry details

Key details

Study ID
NCT07265427
Lead sponsor
Jacobs University Bremen gGmbH
Collaborators
Hamburg University of Applied Sciences
Responsible party
Prof. Dr. Sonia Lippke (Head of Health Psychology & Behavioral Medicine Unit, Jacobs University Bremen gGmbH) — Principal investigator
First posted
Dec 4, 2025
Start date
Nov 24, 2025
Primary completion
Mar 30, 2026
Completion
Jun 30, 2026
Last update
Sep 25, 2026

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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