Designing a Wellness Self-Management Tool for Older Adults – Results from a Field Trial of YourWellness

Doyle, Julie; Walsh, Lorcan; Sassu, Antonella; McDonagh, Teresa

doi:10.4108/icst.pervasivehealth.2014.254950

Cited by 45 publications

(32 citation statements)

References 24 publications

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“…This finding contradicts with the findings by previous studies, for example by Doyle et al (2014) and Grimes et al (2010), where some older adults in their studies did not understand the concept of the traffic light metaphor as a form of feedback while using apps. Our participants commented:…”

Section: Raises Awareness To Eat and Drink Healthy And To Self-monitocontrasting

confidence: 99%

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Evaluation of an App to Support Healthy Living by Older Adults

Haslinda

Sani

Petrie

2017

Electronic Workshops in Computing

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Smartphone and tablet computers apps are a promising tool to promote healthy attitudes and behaviours among older adults. A tablet computer app to support older adults in maintaining good nutrition and hydration was developed to allow them to track their intake of fruit and vegetables and appropriate liquids. A highly user-centred design lifecycle was used which culminated in a field study with fifteen older adults who used the app for two weeks. Two main themes emerged from the results of their experiences with the app: ease of use and usefulness of the app. Although there were some usability issues, overall participants found the app easy to use, straightforward and designed to do what it was supposed to do. For most of the participants, the app acted as a motivational tool helping them to change their daily diet to eat more fruit and vegetables, and to drink more liquid. healthy eating; healthy liquid intake; older adults; tablet computers; mobile apps

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Section: Raises Awareness To Eat and Drink Healthy And To Self-monitocontrasting

confidence: 99%

“…Most research has focused on overweight individuals with the aim to help them reduce their weight. However, there have also been studies that aim to raise awareness about their wellbeing by self-monitoring wellness (Doyle et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of an App to Support Healthy Living by Older Adults

Haslinda

Sani

Petrie

2017

Electronic Workshops in Computing

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“…Combining subjective and objective data may provide a more holistic representation of an individual's health status. Research investigating the use of a custom health and wellness self-management application is currently underway within CASALA [14]. Aligning both of these systems may aid in the identification of a change in health status and serve as a means to engage the participant in the intervention.…”

Section: Discussionmentioning

confidence: 99%

Inferring health metrics from ambient smart home data

Walsh

Kealy

Loane

et al. 2014

2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

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Abstract-As the population ages, smart home technology and applications are expected to support older adults to age in place and reduce the associated economic and societal burden. This paper describes a study where the relationship between ambient sensors, permanently deployed as part of smart aware apartments, and clinically validated health questionnaires is investigated. 27 sets of ambient data were taken from a 28 day block from 13 participants all of whom were over 60 years old. Features derived from ambient sensor data were found to be significantly correlated to measures of anxiety, sleep quality, depression, loneliness, cognition, quality of life and independent living skills (IADL). Subsequently, linear discriminant analysis was shown to predict participants suffering from increased anxiety and loneliness with a high accuracy (≥70%). While the number of participants is small, this study reports that objective ambient features may be used to infer clinically validated health metrics. Such findings may be used to inform interventions for active and healthy ageing.

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“…They also use a custom-made application, YourWellness, for self-reporting on their wellbeing, which provides feedback to them on their self-reported data over time as well as educational advice on healthy behaviours [13]. There is a 24-hour monitoring system in place, accessed through emergency buttons and cords placed throughout the apartment and alerts set up, based on ambient sensor data, to detect no movement and wandering.…”

Section: Great Northern Havenmentioning

confidence: 99%

“…Our future work will involve redesigning our existing wellness monitoring application, YourWellness [13], to include visualisations of sensor data. Our empirical research, combined with theories of health behaviour and behaviour change will support us in designing the application (determining what features to include and how to include them) and evaluating its effectiveness in supporting wellness self-management.…”

Section: Importance Of Contextmentioning

confidence: 99%

Older Adults’ Attitudes to Self-Management of Health and Wellness through Smart Home Data

Doyle¹,

Caprani²,

Bond³

2015

EAI Endorsed Trans Perv Health Tech

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Abstract-Smart homes have significant potential to enhance the lives of older adults, extending the period of healthy ageing, through monitoring wellbeing, detecting decline and applying interventions to prevent or slow down this decline. In this paper we present results from interviews with 7 older adults who have been living in smart homes for over 4 years. Our aims were to 1) examine attitudes to living with sensors and AAL technology over time; 2) gather opinions on the usefulness of this data for supporting self-management of health and wellbeing and 3) evaluate the effectiveness of various visualization techniques for presenting sensor-based health and wellness data. Our findings show that older adults are interested in receiving feedback from sensor technology to support them self-managing their wellbeing. Potential beneficial information includes time spent inside and outside the home, walking time, sleep, activity, blood pressure and weight. This information needs to be enhanced by education and goal-setting and by representing data using visualisations that are simple and intuitive.

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Designing a Wellness Self-Management Tool for Older Adults – Results from a Field Trial of YourWellness

Cited by 45 publications

References 24 publications

Evaluation of an App to Support Healthy Living by Older Adults

Evaluation of an App to Support Healthy Living by Older Adults

Inferring health metrics from ambient smart home data

Older Adults’ Attitudes to Self-Management of Health and Wellness through Smart Home Data

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