Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/31739
Title: PilOT-Measure: A mobile 3D depth sensing application to support accurate and efficient clinician-led home-based falls risk assessments
Authors: Ibrahim, Z
Money, AG
Atwal, A
Spiliotopoulou, G
Issue Date: 24-Sep-2025
Publisher: BioMed Central (part of Springer Nature)
Citation: Ibrahim, Z. et al. (2025) 'PilOT-Measure: A mobile 3D depth sensing application to support accurate and efficient clinician-led home-based falls risk assessments', BMC Medical Informatics and Decision Making, 25, 332, pp. 1 - 27. doi: 10.1186/s12911-025-03149-7.
Abstract: Background: An aging global population, coupled with high levels of assistive equipment abandonment, has propelled increases in falls-related injuries at home. Equipment abandonment occurs, in-part, due to inaccurate measurements of the patient’s home taken during the falls risk assessment process. There is an urgent need to explore the value of new digital mobile technologies to help clinicians to take more efficient and effective measurements of patient’s home, thereby enhancing the efficacy of falls risk assessments and potentially minimising equipment abandonment. Aim: The aim of this study is to present and evaluate the accuracy and efficiency of PilOT-Measure, a digital mobile 3D depth-sensor-enabled measurement guidance application for use by clinicians carrying out falls risk assessments. Methods: Twenty-one trainee and registered Occupational Therapists took part in this repeated-measures, mixed methods study to evaluate measurement accuracy, task completion time, and overall system usability and user perceptions of the application. Results: For measurement accuracy, PilOT-Measure outperformed current state of the art handheld tape measure and paper-based measurement guidance booklet. For accuracy consistency, the handheld tape measure and booklet was more consistently accurate for six out of 11 cases. However, PilOT-Measure tended to facilitate significantly faster task completion times, suggesting potential task efficiency benefits. In terms of usability, participants favoured PilOT-Measure and saw potential to reduce administrative tasks and support joint decision-making. Concerns about marker placement on reflective surfaces and patient privacy were noted. Conclusions: This study highlights the positive role that mobile depth-sensing technologies can potentially play in improving the efficiency and accuracy of falls risk assessments, hence, reducing levels of equipment abandonment and falls related injuries at home. Future work will focus on improving marker placement, measurement accuracy, and accuracy consistency and explore the potential of using PilOT-Measure as a falls risk patient self-assessment tool..
Description: Data availability: The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Supplementary Information: electronic supplementary material is available online at: https://link.springer.com/article/10.1186/s12911-025-03149-7#Sec35 .
URI: https://bura.brunel.ac.uk/handle/2438/31739
DOI: https://doi.org/10.1186/s12911-025-03149-7
ISSN: 1472-6947
Other Identifiers: ORCiD: Arthur G. Money https://orcid.org/0000-0003-1063-3680
ORCiD: Anita Atwal https://orcid.org/0000-0001-6158-7237
ORCiD: Georgia Spiliotopoulou https://orcid.org/0000-0002-2321-9596
Article number: 332
Appears in Collections:Dept of Computer Science Research Papers
Dept of Health Sciences Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © The Author(s) 2025. Rights and permissions: Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/.5.28 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons