Evidence map›Paper›PMID 40101746›Full record

ArticleJMIR research protocols2025

Sustainable Implementation of Digital Assistive Technologies in Health Care Through a Simplified Interaction and Control Platform: Protocol for a Cocreative Feasibility Study.

Pascal Müller, Sebastian Hofstetter, Patrick Jahn

Abstract read
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Pascal MüllerHealth Service Research Working Group, Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine Halle (Saale), Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.ORCID 0009-0008-3706-6181
Sebastian HofstetterHealth Service Research Working Group, Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine Halle (Saale), Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.ORCID 0000-0003-3110-2379
Patrick JahnHealth Service Research Working Group, Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine Halle (Saale), Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.ORCID 0000-0002-1533-6717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the expected increase in the number of people needing care and the increasing shortage of skilled care workers, new care concepts are required. Therefore, digital assistive technologies (DATs), especially robotics, can improve the situation of people with different needs and create opportunities for participation. For a human-technology interaction to have a high level of usability, DAT's meaningfulness and effectiveness must be accessible to end users. Significant barriers to the use of DATs in health care are the lack of controllability and adaptivity, as well as control functions that are too complex.

objectiveThe objective of this paper is to develop an interaction and control platform that is understandable to a layperson and has a programming interface for DAT interactions. The innovation consists of the expansion of usage and interaction options for carers of existing DAT in a more individual manner. This is to be achieved by combining modern interactive media, a modular software architecture, and already available DAT.

methodsThe project is planned as a mixed methods study with a longitudinal design, with multiple user involvements and measurement times in collaboration with 3 care facilities in Germany. When assessing technologies, the satisfaction of the basic human needs of competence, connection, and autonomy plays an important role in the actual use of the technology. These needs can be measured in the form of usability (System Usability Scale), intention to use (Technology Usage Inventory), and satisfaction with the carers' needs (Technology-Based Experience of Need Satisfaction). In the qualitative assessment, user experience is recorded using the think-aloud method and focus groups in order to obtain information about potential improvements of the platform.

resultsThe EduXBot (Educational Exploration Robot Application Platform) project was initiated in January 2023 and is scheduled to conclude in December 2025, at which point the project's final results are expected to be available. The initial results were attained in the summer of 2024 when the final concept for the platform prototype was developed. In November 2024, an initial prototype of a functional platform for the simplified interaction and control of DAT was evaluated.

conclusionsIt is expected that the open DAT system architecture enables caregivers without any previous technical knowledge to assemble their individual DAT functional portfolio. The results of the project will provide low-threshold access to interaction options for existing DAT as well as expand the usage of such technologies in an individual and patient-centered way.

trial registrationDeutsches Register Klinischer Studien DRKS00034195; https://drks.de/search/de/trial/DRKS00034195. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/63089.

Indexed as

Delivery of Health CareRoboticsSelf-Help DevicesFeasibility StudiesGermanyHumansLongitudinal StudiesUser-Computer Interfacecocreationdigital assistive technologiesfeasibility studyhealth carehuman-technology interactionintention to uselong-term caremixed methodsuser-centered design

Identifiers

PMID40101746
PMCPMC11962334

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.