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Accepted for/Published in: JMIR Nursing

Date Submitted: Sep 15, 2025
Date Accepted: Feb 3, 2026

The final, peer-reviewed published version of this preprint can be found here:

Developing a Cross-Device Platform for Robotic Systems in Nursing Care: Mixed Methods Feasibility Study

Müller P, Veit R, Hofstetter S, Jahn P

Developing a Cross-Device Platform for Robotic Systems in Nursing Care: Mixed Methods Feasibility Study

JMIR Nursing 2026;9:e84118

DOI: 10.2196/84118

PMID: 41855410

Developing a Cross-Device Platform for Robotic Systems in Nursing Care: A Mixed-Methods Feasibility Study

  • Pascal Müller; 
  • Ruven Veit; 
  • Sebastian Hofstetter; 
  • Patrick Jahn

ABSTRACT

Background:

Digital assistive technologies (DATs), including virtual reality and robotic systems, are increasingly seen as possible solutions for the growing demand for nursing care and shortage of nursing staff. However, barriers related to usability, personalization, and workflow integration continue to hinder their adoption. User-centered, cross-device solutions could help overcome these limitations and promote the sustainable integration of DATs into nursing practice.

Objective:

The objective of this study was to develop and evaluate a cross-device interaction platform that would allow caregivers to manage multiple DATs via a single, user-friendly interface. The goal was to evaluate the platform's usability and users' intention to use it, as well as the requirements for its implementation in everyday care.

Methods:

From February 2024 to May 2025, a longitudinal mixed-methods feasibility study was conducted in two German health facilities with 13 participants. The development process followed a user-centered design approach involving co-creative workshops and prototype evaluations. Quantitative measures included the Technology Usage Inventory (TUI), the System Usability Scale (SUS), and the Technology-based Experience of Need Satisfaction (TENS-Interface). These measures were administered at four time points. Qualitative data were collected through think-aloud protocols and guideline-based focus groups and analyzed using inductive content analysis.

Results:

The quantitative findings consistently indicated a high intention to use the platform. Participants reported high levels of curiosity and perceived usefulness and low levels of skepticism. Regression analysis revealed that perceived usefulness and fear of technology were significant predictors of the intention to use DATs. Qualitative analysis revealed appreciation for the platform’s simple, familiar control mechanisms. Participants valued the ability to personalize the system. Seamless integration with existing documentation and care planning systems was also seen as essential for streamlining workflows, eliminating duplicate data entry, and improving user acceptance and efficiency.

Conclusions:

This exploratory study demonstrates the feasibility of a cross-device platform for DAT management in nursing care. Through iterative, participatory development, the platform was aligned with real-world workflows, usability was enhanced, and personalization was identified as a driver of acceptance. The findings provide proof of concept and initial evidence for broader implementation. The open system architecture supports the integration of additional technologies and user groups, paving the way for scalable applications in the digital transformation of care. Clinical Trial: Deutsches Register Klinischer Studien DRKS00034195; https://drks.de/search/de/trial/DRKS00034195


 Citation

Please cite as:

Müller P, Veit R, Hofstetter S, Jahn P

Developing a Cross-Device Platform for Robotic Systems in Nursing Care: Mixed Methods Feasibility Study

JMIR Nursing 2026;9:e84118

DOI: 10.2196/84118

PMID: 41855410

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