John McBeth

The University of Manchester
Country flagUnited Kingdom

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (12)

Introduction Long-term conditions are a major burden on health systems. One way to facilitate more research and better clinical care among patients with long-term conditions is to collect accurate data on their daily symptoms (patient-generated health data) using wearable technologies. Whilst evidence is growing for the use of wearable technologies in single conditions, there is less evidence of the utility of frequent symptom tracking in those who have more than one condition. Aims To explore patient views of the acceptability of collecting daily patient-generated health data for three months using a smartwatch app. Methods Watch Your Steps was a longitudinal study which recruited 53 patients to track over 20 symptoms per day for a 90-day period using a study app on smartwatches. Semi-structured interviews were conducted with a sub-sample of 20 participants to explore their experience of engaging with the app. Results In a population of older people with multimorbidity, patients were willing and able to engage with a patient-generated health data app on a smartwatch. It was suggested that to maintain engagement over a longer period, more ‘real-time’ feedback from the app should be available. Participants did not seem to consider the management of more than one condition to be a factor in either engagement or use of the app, but the presence of severe or chronic pain was at times a barrier. Conclusion This study has provided preliminary evidence that multimorbidity was not a major barrier to engagement with patient-generated health data via a smartwatch symptom tracking app.

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (17)

Katie Druce

Health Solutions

UNITED STATES
View details

Thomas House

The University of Manchester

UNITED KINGDOM
View details

Sabine van der Veer

Senior Lecturer

The University of Manchester

UNITED KINGDOM
View details

Lis Cordingley

The University of Manchester

UNITED KINGDOM
View details

Anna Gibby

University of Bath

UNITED KINGDOM
View details

Hannah Sallis

University of Bristol

UNITED KINGDOM
View details

William Dixon

The University of Manchester

UNITED KINGDOM
View details

Amber J Guest

University of Aberdeen

UNITED KINGDOM
View details

David Selby

The University of Manchester

UNITED KINGDOM
View details

Mark Muldoon

Reader in Applied Mathematics

The University of Manchester

UNITED KINGDOM
View details

Marcus Beasley

University of Aberdeen

UNITED KINGDOM
View details

Christopher Eccleston

University of Bath

UNITED KINGDOM
View details

Benjamin Brown

The University of Manchester

UNITED KINGDOM
View details

Gary Macfarlane

University of Aberdeen

UNITED KINGDOM
View details

Edmund Keogh

University of Bath

UNITED KINGDOM
View details

Syed Mustafa Ali

The University of Manchester

UNITED KINGDOM
View details

Mark Lunt

Reader in Medical Statistics

The University of Manchester

UNITED KINGDOM
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.