Effectiveness of an Ambient Intelligent Geriatric Management system (AmbIGeM) to prevent falls in older people in hospitals: protocol for the AmbIGeM stepped wedge pragmatic trial

Visvanathan, Renuka; Ranasinghe, Damith C.; Wilson, Anne; Lange, Kylie; Dollard, Joanne; Boyle, Eileen M.; Karnon, Jonathan; Raygan, Erfan; Maher, Sean; Ingram, Katharine; Shibu, P.; Hoskins, Stephen L.

doi:10.1136/injuryprev-2017-042507

Cited by 17 publications

(22 citation statements)

References 29 publications

(20 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The introduction of new technology into any health care setting introduces new workflow and where there are competing demands, as is the norm, it is more than likely that what is characterized, as research of an unproven intervention is viewed as less of a priority (24). Acceptability of the system from patient, carer, and staff perspectives is planned to be reported separately (13). While the falls and injurious falls rate increased in the GM ward, the reduced falls and injurious falls rate noted in the GEMU wards provided evidence for further exploration of this technology concept.…”

Section: Discussionmentioning

confidence: 99%

“…The implementation research incorporated a concurrent mixedmethods design combining a pragmatic stepped-wedge cluster trial with a survey and qualitative process to gather information from patients and clinical staff on the acceptability and safety of the study. The study protocol has been published but is briefly described here (13).…”

Section: Methods Trial Design and Participantsmentioning

confidence: 99%

See 1 more Smart Citation

Effectiveness of the Wearable Sensor Based Ambient Intelligent Geriatric Management System (AmbIGeM) in Preventing Falls in Older People in Hospitals

Visvanathan¹,

Ranasinghe

Lange

et al. 2020

SSRN Journal

Self Cite

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Section: Methods Trial Design and Participantsmentioning

confidence: 99%

Effectiveness of the Wearable Sensor Based Ambient Intelligent Geriatric Management System (AmbIGeM) in Preventing Falls in Older People in Hospitals

Visvanathan¹,

Ranasinghe

Lange

et al. 2020

SSRN Journal

Self Cite

View full text Add to dashboard Cite

“…The implementation research incorporated a concurrent mixed-methods design combining a pragmatic stepped-wedge cluster trial with a survey and qualitative process to gather information from patients and clinical staff on the acceptability and safety of the study. The study protocol has been published but is briefly described here ( 13 ).…”

Section: Methodsmentioning

confidence: 99%

Effectiveness of the Wearable Sensor-based Ambient Intelligent Geriatric Management (AmbIGeM) System in Preventing Falls in Older People in Hospitals

Visvanathan

Ranasinghe

Lange

et al. 2021

The Journals of Gerontology: Series A

Self Cite

View full text Add to dashboard Cite

Background The AmbIGeM system augments best practice and involves a novel wearable sensor (accelerometer and gyroscope) worn by patients where the data captured by the sensor is interpreted by algorithms to trigger alerts on clinician handheld mobile devices when risk movements are detected. Methods A 3-cluster stepped wedge pragmatic trial investigating the effect on the primary outcome of falls rate and secondary outcome of injurious fall and proportion of fallers. Three wards across two states were included. Patients aged >65 years were eligible. Patients requiring palliative care were excluded. The trial was registered with the Australia and New Zealand Clinical Trials registry, number 12617000981325. Results 4924 older patients were admitted to the study wards with 1076 excluded and 3240 (1995 control, 1245 intervention) enrolled. The median proportion of study duration with valid readings per patient was 49% (IQR 25-67%). There was no significant difference between intervention and control relating to the falls rate (ARR=1.41, 95% CI (0.85, 2.34; p=0.192)), proportion of fallers (OR=1.54, 95% CI (0.91, 2.61); p=0.105) and injurious falls rate (ARR=0.90, 95% CI (0.38, 2.14); p=0.807). In a post hoc analysis, falls and injurious falls rate were reduced in the Geriatric Evaluation and Management Unit (GEMU) wards when the intervention period was compared to the control period. Conclusion The AmbIGeM system did not reduce the rate of falls, rate of injurious falls or proportion of fallers. There remains a case for further exploration and refinement of this technology given the post hoc analysis findings with the GEMU wards.

show abstract

“…Mode. e heating unit is the main body of responsibility in the heat supply measurement management and the main body of the heat supply measurement management [15,16]. Heat metering is used in the environment of district heating or central heating, in order to meet demand, and at the same time to strengthen the energy-saving and environmental protection awareness of heating users in the process of use, and to protect the interests of both the heating unit and the heating user, the heating service users are charged according to the amount of each household [17].…”

Section: Planning and Construction Of Heat Metering Intelligent Managementmentioning

confidence: 99%

Application and Research of the Intelligent Management System Based on Internet of Things Technology in the Era of Big Data

2021

Mobile Information Systems

View full text Add to dashboard Cite

With the in-depth application of the Internet of Things, many emerging technologies are changing the global industry landscape on an unprecedented scale. At the same time, they also provide an opportunity for the development of intelligent management to break through the bottleneck. The proposal and evolution of the concept of intelligent management makes the development of management technology more advanced. Therefore, the introduction of the Internet of Things technology into intelligent management has very important research significance and value. First, conduct research on the origin and current situation of the Internet of Things technology at home and abroad and understand the relevant theories and cutting-edge technologies of the Internet of Things technology. Second, take the enterprise as an example to study the process flow and existing problems in the logistics link in the factory, combine the management concept of the Internet of Things, and integrate IC card identification technology, RFID radio frequency identification technology, barriers and ground sensing technology, and OPC/PLC. Third, combined with PLC/OPC technology, the design and integration of the software system and hardware system are realized. The experimental results show that the system modules have been tested to provide company information management, employee multifactor predictive analysis, and efficient batch efficiency evaluation, which has a certain value for company data management and data analysis and mining, and improve company efficiency by more than 30%.

show abstract

Effectiveness of an Ambient Intelligent Geriatric Management system (AmbIGeM) to prevent falls in older people in hospitals: protocol for the AmbIGeM stepped wedge pragmatic trial

Abstract: Australian and New Zealand Clinical Trial Registry: ACTRN 12617000981325; Pre-results.

Cited by 17 publications

References 29 publications

Effectiveness of the Wearable Sensor Based Ambient Intelligent Geriatric Management System (AmbIGeM) in Preventing Falls in Older People in Hospitals

Effectiveness of the Wearable Sensor Based Ambient Intelligent Geriatric Management System (AmbIGeM) in Preventing Falls in Older People in Hospitals

Effectiveness of the Wearable Sensor-based Ambient Intelligent Geriatric Management (AmbIGeM) System in Preventing Falls in Older People in Hospitals

Application and Research of the Intelligent Management System Based on Internet of Things Technology in the Era of Big Data

Contact Info

Product

Resources

About