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      Healthcare Professionals Views on Technology to Support Older Adults Transitioning from Hospital to Home

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      Proceedings of the 30th International BCS Human Computer Interaction Conference (HCI)

      Fusion

      11 - 15 July 2016

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          Abstract

          One of the challenges of an ageing population is the impact this has on healthcare systems, as living longer can potentially result in higher levels of frailty, chronic disease, dementia and other age-related illnesses. In turn, this may result in higher numbers of hospitalisations and longer hospital stays. Thus, understanding how to support safe and timely discharge of older adults from hospital to their home, and support a return to independence, is critical. Monitoring technology can play an important role in this. However, it is necessary to understand the key role of technology in transitional care as well as the facilitators and barriers to integrating such technology into practice. This paper explores these issues, by presenting a study that uses remote monitoring technology to support older adult patients transitioning from hospital to home. We present findings from evaluations with a range of healthcare professionals on the potential uses of such technology to support transitioning. We also highlight potential barriers and facilitators to integration within health systems.

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          Most cited references 20

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          Patient-centered activity monitoring in the self-management of chronic health conditions

          Background As activity tracking devices become smaller, cheaper, and more consumer-accessible, they will be used more extensively across a wide variety of contexts. The expansion of activity tracking and personal data collection offers the potential for patient engagement in the management of chronic diseases. Consumer wearable devices for activity tracking have shown promise in post-surgery recovery in cardiac patients, pulmonary rehabilitation, and activity counseling in diabetic patients, among others. Unfortunately, the data generated by wearable devices is seldom integrated into programmatic self-management chronic disease regimens. In addition, there is lack of evidence supporting sustained use or effects on health outcomes, as studies have primarily focused on establishing the feasibility of monitoring activity and the association of measured activity with short-term benefits. Discussion Monitoring devices can make a direct and real-time impact on self-management, but the validity and reliability of measurements need to be established. In order for patients to become engaged in wearable data gathering, key patient-centered issues relating to usefulness in care, motivation, the safety and privacy of information, and clinical integration need to be addressed. Because the successful usage of wearables requires an ability to comprehend and utilize personal health data, the user experience should account for individual differences in numeracy skills and apply evidence-based behavioral science principles to promote continued engagement. Summary Activity monitoring has the potential to engage patients as advocates in their personalized care, as well as offer health care providers real world assessments of their patients’ daily activity patterns. This potential will be realized as the voice of the chronic disease patients is accounted for in the design of devices, measurements are validated against existing clinical assessments, devices become part of the treatment ‘prescription’, behavior change programs are used to engage patients in self-management, and best practices for clinical integration are defined.
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            The promise of wearable activity sensors to define patient recovery.

            The recent emergence of mobile health--the use of mobile telecommunication and wireless devices to improve health outcomes, services, and research--has inspired a patient-centric approach to monitor health metrics. Sensors embedded in wearable devices are utilized to acquire greater self-knowledge by tracking basic parameters such as blood pressure, heart rate, and body temperature as well as data related to exercise, diet, and psychological state. To that end, recent studies on utilizing wireless fitness activity trackers to monitor and promote functional recovery in patients suggest that collecting up-to-date performance data could help patients regain functional independence and help hospitals determine the appropriate length of stay for a patient. This manuscript examines existing functional assessment scales, discusses the use of activity tracking sensors in evaluating functional independence, and explores the growing application of wireless technology in measuring and promoting functional recovery. Copyright © 2013 Elsevier Ltd. All rights reserved.
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              Use of Accelerometer-Based Feedback of Walking Activity for Appraising Progress With Walking-Related Goals in Inpatient Stroke Rehabilitation: A Randomized Controlled Trial.

              Regaining independent ambulation is important to those with stroke. Increased walking practice during "down time" in rehabilitation could improve walking function for individuals with stroke.
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                Author and article information

                Contributors
                Conference
                July 2016
                July 2016
                : 1-11
                Affiliations
                NetwellCASALA, Dundalk Institute of Technology, Ireland
                Fujitsu Ireland Ltd.

                Ireland
                Fujitsu Laboratories Ltd.

                Japan
                Article
                10.14236/ewic/HCI2016.34
                © Doyle et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2016 Conference Fusion, Bournemouth, UK

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of the 30th International BCS Human Computer Interaction Conference
                HCI
                30
                Bournemouth University, Poole, UK
                11 - 15 July 2016
                Electronic Workshops in Computing (eWiC)
                Fusion
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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