AI-assisted Fall Prevention Through Evidence
ConditionFall
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorHalmstad University
About this trial
The goal of this multi-method study is to investigate how AI-assisted fall-prevention are implemented in routine hospital care what their effects are. The main questions it aims to answer are how these AI systems influence patient safety outcomes, how they affect healthcare professionals work and healthcare resource use, and what factors support or hinder their sustainable integration into hospital environments.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Be employed at one of the participating hospitals
Hold a role as a key stakeholder in the implementation work
Have experience with the implementation of the AI-assisted fall prevention
Have the ability to understand and communicate in Swedish
Disqualifiers
Be employed as a manager at one of the participating hospitals
Have experience with the implementation or use of the AI-assisted fall prevention
Have the ability to understand and communicate in Swedish
Be employed as staff on a ward at one of the participating hospitals where the AI-assisted fall prevention has been decided to be implemented
Trial population
Key actors in the implementation, managers, staff, patients and patient representatives
Trial design
Design model
Other
Time perspective
Other
Treatments tested in this trial
Not applicable- observational study
Other interventionNot applicable- observational study
Treatment groups
No treatment groups listed
Trial outcomes
Primary outcomes
1
Fall rate
Time frame
From earliest January 2025 to latest December 2028Other outcomes
1
NoMAD instrument
The NoMAD (Normalization Measure Development) instrument is a 23-item survey used to assess how complex interventions become implemented, embedded, and integrated into everyday healthcare practice. Grounded in Normalization Process Theory (NPT), it focuses on the collective work staff perform to make a new method part of routine care. Twenty of the items map onto the four core NPT constructs: coherence, which concerns how staff understand and make sense of the new practice; cognitive participation, which captures the work required to engage and involve people; collective action, which reflects the practical efforts needed to enact the intervention; and reflexive monitoring, which assesses how staff appraise its effects once it is in use. Three additional general items measure how "normal" the practice currently feels to users. NoMAD has demonstrated strong validity and reliability.
Time frame
Baseline, 12 months follow up, 24 months follow up2
COPSOQ III
The Copenhagen Psychosocial Questionnaire (COPSOQ) III is an instrument designed to measure, assess, and manage the psychosocial work environment. The Swedish standard version of the tool evaluates 33 different dimensions of work life through 76 items, covering categories such as quantitative and emotional demands, social support, leadership quality, and health outcomes like stress and burnout. Validated at both individual and workplace levels, the instrument demonstrates strong reliability and construct validity, making it a robust tool for identifying psychosocial risks and evaluating organizational interventions. A key feature of its application in Sweden is the establishment of population-based benchmarks, which provide reference values that allow organizations to interpret their specific results in relation to the national average.
Time frame
Baseline, 12 months follow up, 24 months follow up3
BAT
The Burnout Assessment Tool (BAT) is a validated, theory-based instrument for measuring work-related burnout. It assesses four core dimensions; exhaustion, mental distance, cognitive impairment, and emotional impairment, using 23 items supported by Rasch analysis, allowing the subscales to form one reliable overall score. The BAT performs consistently across demographic groups and enables conversion of ordinal scores into interval-level metrics, making it a precise tool for identifying burnout risk in both clinical and organizational settings.
Time frame
Baseline, 12 months follow up, 24 months follow up4
Resource use
Time frame
January 2026- December 2028Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Source ClinicalTrials.gov