ArticleFrontiers in digital health2025
Exploring clinicians' perspectives on falls, balance and gait assessments to inform wearable device development. "Adding to the bigger picture of the patient in falls assessments".
Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Depth Sensor-Based Instrumentation of the Fukuda Stepping Test: Reliability and Clinical Associations in Older Adults.Sensors (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Falls represent a major healthcare burden with significant costs to healthcare systems as well as individual patients. Falls assessments are complex, multifactorial and often involve input from multiple specialists. Collecting data to contribute to these assessments is typically done by clinical history and examination. Wearable monitoring systems that are capable of recording patient-specific data related to falls and falls risk factors may represent a rich source of information for patients and clinicians to inform their assessment and treatment plans. Here we present the findings of multimodal qualitative study that aimed to identify clinicians' perspectives on key features of falls assessments as well as the potential utilisation of wearable monitoring devices in the field of falls and falls assessments. Our findings inform device developers and ensure monitoring systems are designed with the end-users in mind. Methods: We used a multimodal qualitative study design. Survey responses from 26 healthcare practitioners (geriatricians, physiotherapists, falls prevention practitioners, and primary care physicians) were analysed using a reflexive thematic approach. Semi-structured interviews with practitioners were also conducted facilitating deeper analysis of the identified themes. Results and discussion: Six overarching themes were identified: "History of falls is key", "Ecologically valid data", Multidisciplinary approach, "Data that helps", "Data causes anxiety", and "Wearable literacy". Exploration of these indicated that, if developed appropriately, wearable devices could support the clinical assessment and management of patients at risk of falls by providing ecologically valid, temporaneous and objective data related to modifiable risk factors of falls. This study outlines key priorities in falls assessment from clinicians' perspectives to inform device developers and highlight how a collaborative approach, engaging with clinicians, is necessary to facilitate development and integration of devices into patient pathways in a manner that is acceptable and useful to key stakeholders.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.