Acceptance and Perceived Benefits of Digitalization by Medical Assistants

NCT06269250 | Recruiting

• 1 other identifier: ANDI-MFA2023_10
• Study Type: observational
• Target: 1,000
• Locations: 1 country
• Sites: 1

Brief Summary

The aim of this project is to improve the integration of digital processes, including e-prescriptions, within medical and dental practices for healthcare professionals. Through a better understanding of the obstacles healthcare workers encounter during the adoption of digital processes and their feedback post-implementation, this study will add to the current state of science, contributing to digital process optimization in healthcare.

Conditions

Health Care Providers; Patient Safety; eHealth

Keywords

digital processes; e-prescriptions; health care providers; medical assistants; acceptance; life-long learning

Outcome Measures

Primary Outcomes (3)

• Adoption and acceptance of information technology (IT)

  The items assess the adoption and acceptance of telematic infrastructure (TI) in medical or dental practices. They collect data on the use of TI, its impact on daily operations, and its acceptance. These are example items for each category: 1. Is your medical office connected to the Telematics Infrastructure (TI)? (Answer options: "bot at all", "some days", "more than half of the days", "almost every day") 2. Does the TI connection run smoothly without causing disruption to your practice operations? (Answer options: "not at all", "some days", "more than half of the days", "almost every day") 3. Do you know if your (dental) office management fundamentally rejects a TI connection? (Answer options: "I strongly disagree", "I disagree", "I agree", "I strongly agree", "I don't know")

  3 months

• Requests by patients regarding IT

  The items assess the frequency of patients' inquiries about various digital health applications and services. These are example items: 1. How often have been asked by patients about an e-prescription? (Answer options: "not at all", "some days", "more than half of the days", "almost every day") 2. What topics are you most frequently asked about by your patients? (Answer options: "online medical consultation", "eAU", "e-prescription", "ePA", "digital health apps (DIGAs)", "fitness trackers like smartwatches")

  3 months

• Perceived Benefits of IT

  The perceived benefits of IT are measured through self-report

  3 months

Secondary Outcomes (2)

• Knowledge and Digital health literacy

  3 months

• Preferred learning format

  3 months

Study Arms (2)

sample assessed in Wave 2023

Participants can be any healthcare worker, including dental and medical assistants, aged 18 or older.

Other: Policy Change

sample assessed in Wave 2024

Participants can be any healthcare worker, including dental and medical assistants, aged 18 or older.

Other: Policy Change

Interventions

Policy Change OTHER

There will be a change with the digitalization in the health care system with the beginning of the year 2024 and between Wave 1 and Wave 2

sample assessed in Wave 2023; sample assessed in Wave 2024

Eligibility Criteria

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

Study Population

Health Care Workers, including medical assistances

You may qualify if:

• \- Ability to participate in surveys (e.g., sufficient German or English language skills)

You may not qualify if:

• Younger than 18 years
• Illiteracy
• Massively limited cognitive abilities, i.e., linguistic components of the digital offerings must be able to be used to complete questionnaires or participate in interviews

Sponsors & Collaborators

• Jacobs University Bremen gGmbH: lead
• Mirjam Jansen; medmedia Academy: collaborator

Study Sites (1)

Germany

Bremen, 28759, Germany

RECRUITING

Related Links

• Project Partner
• Main PI

Study Officials

• Alina Dahmen, Dr. med.

  Constructor University Bremen gGmbH

  STUDY DIRECTOR

Central Study Contacts

Sonia Lippke, Prof. Dr.

CONTACT

0049421200; slippke@constructor.university

Mirjam Jansen

CONTACT

+4915123063857; m.jansen@medmedia.koeln

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: October 22, 2023
• First Posted: February 21, 2024
• Study Start: November 1, 2023
• Primary Completion: December 31, 2024
• Study Completion: December 31, 2024
• Last Updated: February 21, 2024

Record last verified: 2024-02

Data Sharing

• IPD Sharing: Will not share

Locations

DE (1)