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

2020 ◽  
Author(s):  
Renuka Visvanathan ◽  
Damith C. Ranasinghe ◽  
Kylie Lange ◽  
Anne Wilson ◽  
Joanne Dollard ◽  
...  
Keyword(s):  
Older People ◽  
Management System ◽  
Wearable Sensor ◽  
Ambient Intelligent

Expectations and user experience of a multimodal medicine management system for older users

2014 ◽  
Vol 8 (2) ◽  
pp. 51-63 ◽  
Author(s):  
Marja Harjumaa ◽  
Igone Idigoras ◽  
Minna Isomursu ◽  
Ainara Garzo
Keyword(s):  
Home Care ◽  
Older People ◽  
User Experience ◽  
Field Trial ◽  
Management System ◽  
Field Trials ◽  
Content Type ◽  
Medicine Management ◽  
Factors Influencing ◽  
Older Users

Purpose – The purpose of this paper is to analyse the adoption of a multimodal medication management system (MMS) targeted on older people and home care professionals. The paper aims to describe the expectations of the system and the user experience findings from an empirical qualitative field trial. The field trial results are used to discuss how MMSs should be designed in order to improve adherence to medications. Design/methodology/approach – The paper suggests that building a multimodal medicine management system targeted on both older users and home care professionals brings many benefits over electronic medicine dispenser systems or general reminder systems. The research process uses an iterative prototyping approach including phases of requirements analysis and concept design, prototype building and evaluation in a field trial. Findings – The study demonstrates how a system that merely satisfied users during the prototype building phase does not necessarily succeed as well as expected in the field trials. It would be important to consider reasons for medication non-adherence and non-technology factors influencing willingness to adopt new assistive devices in order to promote diffusion of new MMSs at home. The paper also discusses how the different persuasive functionalities of the system addressed patient-centred factors influencing non-adherence and how they could be addressed. Research limitations/implications – This study has some limitations. The actual adherence to medications was not measured. However, in the future, it will be important to study how the MMSs influence medication adherence. Also, the user experiences of the home care professionals were not studied in the field trials. Home care professionals who were involved in the user studies and trials merely estimated the value for their patients and not for themselves. Originality/value – This paper analyses design issues relevant when designing systems to help older people manage their medications.

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

2017 ◽  
Vol 25 (3) ◽  
pp. 157-165 ◽  
Author(s):  
Renuka Visvanathan ◽  
Damith C Ranasinghe ◽  
Anne Wilson ◽  
Kylie Lange ◽  
Joanne Dollard ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Older People ◽  
Older Patients ◽  
Pragmatic Trial ◽  
Falls Prevention ◽  
Secondary Outcome ◽  
Stepped Wedge ◽  
Clinical Trial Registry ◽  
Injury Rates ◽  
Ambient Intelligent

BackgroundAlthough current best practice recommendations contribute to falls prevention in hospital, falls and injury rates remain high. There is a need to explore new interventions to reduce falls rates, especially in geriatric and general medical wards where older patients and those with cognitive impairment are managed.Design and methodsA three-cluster stepped wedge pragmatic trial, with an embedded qualitative process, of the Ambient Intelligent Geriatric Management (AmbIGeM) system (wearable sensor device to alert staff of patients undertaking at-risk activities), for preventing falls in older patients compared with standard care. The trial will occur on three acute/subacute wards in two hospitals in Adelaide and Perth, Australia.ParticipantsPatients aged >65 years admitted to study wards. A waiver (Perth) and opt-out of consent (Adelaide) was obtained for this study. Patients requiring palliative care will be excluded.OutcomesThe primary outcome is falls rate; secondary outcome measures are: (1) proportion of participants falling; (2) rate of injurious inpatient falls/1000 participant bed-days; (3) acceptability and safety of the interventions from patients and clinical staff perspectives; and (4) hospital costs, mortality and use of residential care to 3 months postdischarge.DiscussionThis study investigates a novel technological approach to preventing falls in hospitalised older people. We hypothesise that the AmbIGeM intervention will reduce falls and injury rates, with an economic benefit attributable to the intervention. If successful, the AmbIGeM system will be a useful addition to falls prevention in hospital wards with high proportions of older people and people with cognitive impairment.Trial registration numberAustralian and New Zealand Clinical Trial Registry: ACTRN 12617000981325; Pre-results.

scholarly journals A battery-less and wireless wearable sensor system for identifying bed and chair exits in a pilot trial in hospitalized older people

PLoS ONE ◽  
2017 ◽  
Vol 12 (10) ◽  
pp. e0185670 ◽  
Author(s):  
Roberto L. Shinmoto Torres ◽  
Renuka Visvanathan ◽  
Derek Abbott ◽  
Keith D. Hill ◽  
Damith C. Ranasinghe
Keyword(s):  
Older People ◽  
Pilot Trial ◽  
Sensor System ◽  
Wearable Sensor

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

2021 ◽  
Author(s):  
Renuka Visvanathan ◽  
Damith C Ranasinghe ◽  
Kylie Lange ◽  
Anne Wilson ◽  
Joanne Dollard ◽  
...  
Keyword(s):  
Best Practice ◽  
Control Period ◽  
Pragmatic Trial ◽  
Secondary Outcome ◽  
Wearable Sensor ◽  
Post Hoc Analysis ◽  
Injurious Falls ◽  
Ambient Intelligent ◽  
Significant Difference ◽  
Post Hoc

Abstract 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.

scholarly journals Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People

Sensors ◽  
2016 ◽  
Vol 16 (4) ◽  
pp. 546 ◽  
Author(s):  
Roberto Shinmoto Torres ◽  
Renuka Visvanathan ◽  
Stephen Hoskins ◽  
Anton van den Hengel ◽  
Damith Ranasinghe
Keyword(s):  
Older People ◽  
Sensor System ◽  
Wearable Sensor
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