New paper published: Provision of powered communication aids in the United Kingdom

CATCH Researchers Simon Judge and Professor Pam Enderby have just published a paper in the journal of Augmentative and Alternative Communication entitled: "Provision of powered communication aids in the United Kingdom".

You can read the full article here: http://www.tandfonline.com/doi/full/10.1080/07434618.2017.1347960

New paper: Informing the Design of “Lifestyle Monitoring” Technology for the Detection of Health Deterioration in Long-Term Conditions: A Qualitative Study of People Living With Heart Failure

A new paper, whose authors include three CATCH academics has been published in the JMIR.

Entitled: "Informing the Design of “Lifestyle Monitoring” Technology for the Detection of Health Deterioration in Long-Term Conditions: A Qualitative Study of People Living With Heart Failure", Dr Sarah Hargreaves, Prof Mark Hawley and Prof Pam Enderby aimed to report in this paper the findings of a study aimed at identifying changes in activity indicative of important changes in health in people with long-term conditions, particularly changes indicative of exacerbation, by exploring the relationship between home activities and health among people with heart failure.

You can read the full article here: http://www.jmir.org/2017/6/e231/

New paper published in the Journal of Medical Internet Research (JMIR)

CATCH's Thomas Webb and Mark Hawley have published a new paper in the Journal of Medical Internet Research (JMIR) along with Kiera Bartlett (the first author, who was Mark and Tom's PhD student, now in Manchester). 

New publication explores how nursing home residents with dementia respond to the interactive art installation ‘VENSTER’

A paper, co-authored by CATCH Professor Luc de Witte entitled: “How nursing home residents with dementia respond to the interactive art installation ‘VENSTER’: a pilot study” has been published.

Predicting depression in older adults - THAW PhD student has paper published in high impact journal

THAW PhD student Jake Andrews and supervisor Professor Rob Harrison have published a paper in the Journal of Affective Disorders.

The paper describes how they used a machine learning approach to build an algorithm that predicts the onset of depression in older people.

The study looked at daily mood scores given by older adults using a touchscreen interface known as NANA – Novel Assessment of Nutrition and Ageing. The model predicted whether or not the Geriatric Depression Scale would assess participants as depressed 10 weeks after they reported their mood using NANA.

Although this is exciting work, it uses data from only 40 older people, so more research is needed before the algorithm can be put to use. The full paper can be read here.

For more information about the research of THAW or this paper, please contact Jake Andrews.