Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/135253
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Type: | Journal article |
Title: | Patient Acceptability of a Novel Technological Solution (Ambient Intelligent Geriatric Management System) to Prevent Falls in Geriatric and General Medicine Wards: A Mixed-Methods Study |
Author: | Dollard, J. Hill, K.D. Wilson, A. Ranasinghe, D.C. Lange, K. Jones, K. Boyle, E.M. Zhou, M. Ng, N. Visvanathan, R. |
Citation: | Gerontology: international journal of experimental, clinical, behavioral, regenerative and technical gerontology, 2022; 68(9):1070-1080 |
Publisher: | S. Karger AG |
Issue Date: | 2022 |
ISSN: | 0304-324X 1423-0003 |
Statement of Responsibility: | Joanne Dollard, Keith D. Hill, Anne Wilson, Damith C. Ranasinghe, Kylie Lange, Katherine Jones, Eileen Mary Boyle, Mengqi Zhou, Nicholas Ng, Renuka Visvanatha |
Abstract: | Introduction: As effective interventions to prevent inpatient falls are lacking, a novel technological intervention was trialed. The Ambient Intelligent Geriatric Management (AmbIGeM) system used wearable sensors that detected and alerted staff of patient movements requiring supervision. While the system did not reduce falls rate, it is important to evaluate the acceptability, usability, and safety of the AmbIGeM system, from the perspectives of patients and informal carers. Methods: We conducted a mixed-methods study using semistructured interviews, a pre-survey and post-survey. The AmbIGeM clinical trial was conducted in two geriatric evaluation and management units and a general medical ward, in two Australian hospitals, and a subset of participants were recruited. Within 3 days of being admitted to the study wards and enrolling in the trial, 31 participants completed the pre-survey. Prior to discharge (post-intervention), 30 participants completed the post-survey and 27 participants were interviewed. Interview data were thematically analyzed and survey data were descriptively analyzed. Results: Survey and interview participants had an average age of 83 (SD 9) years, 65% were female, and 41% were admitted with a fall. Participants considered the AmbIGeM system a good idea. Most but not all thought the singlet and sensor component as acceptable and comfortable, with no privacy concerns. Participants felt reassured with extra monitoring, although sometimes misunderstood the purpose of AmbIGeM as detecting patient falls. Participants’ acceptability was strongly positive, with median 8+ (0–10 scale) on preand post-surveys. Discussion/Conclusion: Patients’ acceptability is important to optimize outcomes. Overall older patients considered the AmbIGeM system as acceptable, usable, and improving safety. The findings will be important to guide refinement of this and other similar technology developments. |
Keywords: | Falls Prevention Wearable device Hospital Health technology Acceptability |
Description: | Published online: April 29, 2022 |
Rights: | © 2022 The Author(s). Published by S. Karger AG, Basel. This is an Open Access article licensed under the Creative Commons Attribution-NonCommercial-4.0 International License (CC BY-NC) (http://www.karger.com/Services/OpenAccessLicense), applicable to the online version of the article only. Usage and distribution for commercial purposes requires written permission. |
DOI: | 10.1159/000522657 |
Grant ID: | http://purl.org/au-research/grants/nhmrc/1082197 |
Published version: | http://dx.doi.org/10.1159/000522657 |
Appears in Collections: | Medicine publications |
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hdl_135253.pdf | Published version | 271.13 kB | Adobe PDF | View/Open |
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