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Beukenhorst AL, Parkes MJ, Cook L, Barnard R, van der Veer SN, Little MA, Howells K, Sanders C, Sergeant JC, O'Neill TW, McBeth J, Dixon WG
Collecting Symptoms and Sensor Data With Consumer Smartwatches (the Knee OsteoArthritis, Linking Activity and Pain Study): Protocol for a Longitudinal, Observational Feasibility Study
Protocol for a Feasibility Study Using Consumer Smartwatches to Assess Symptoms and Sensor Data: the Knee OsteoArthritis, Linking Activity and Pain Study
Anna L Beukenhorst;
Matthew J Parkes;
Louise Cook;
Rebecca Barnard;
Sabine N van der Veer;
Max A Little;
Kelly Howells;
Caroline Sanders;
Jamie C Sergeant;
Terence W O'Neill;
John McBeth;
William G Dixon
ABSTRACT
Background:
The Knee OsteoArthritis, Linking Activity and Pain study is the first health study to test the feasibility of using consumer-grade cellular smartwatches.
Objective:
The study aims to capture and explore the experience of participants with knee osteoarthritis (OA) having their pain and activity levels continually monitored with a smartwatch over the course of 3 months. Additionally, the Knee OsteoArthritis, Linking Activity and Pain study aims to investigate the data quality gathered from smartwatches and assess whether quality and user experience are sufficient for future, large-scale observational and interventional studies.
Methods:
A total of 26 participants (age ≥50 years) with self-diagnosed knee OA either living in or willing to travel to the Greater Manchester area were recruited in September 2017. All participants received a smartwatch (Huawei Watch 2) with an installed bespoke app that collected self-reported symptom data as well as continuous activity data via the watch sensors. All data were collected daily for 90 days. Participants returned the watches in January 2018. Participants were also asked to attend baseline and follow-up interviews to collect more detailed qualitative data regarding health beliefs about their OA and their user experience with the watch.
Results:
Participants were recruited in September 2017. The collection of patient-reported outcomes and patient-generated sensor data finished in January 2018. The collection of qualitative data through patient interviews is still ongoing. Data analysis will commence when all data are collected; results are expected in late 2018 and in 2019.
Conclusions:
The Knee OsteoArthritis, Linking Activity and Pain study is the first health study to use consumer cellular smartwatches to collect self-reported symptoms alongside sensor data for musculoskeletal disorders. The results of the feasibility study will be used to inform the design of future mobile health studies including, but not limited to, those linking pain and activity levels.
Citation
Please cite as:
Beukenhorst AL, Parkes MJ, Cook L, Barnard R, van der Veer SN, Little MA, Howells K, Sanders C, Sergeant JC, O'Neill TW, McBeth J, Dixon WG
Collecting Symptoms and Sensor Data With Consumer Smartwatches (the Knee OsteoArthritis, Linking Activity and Pain Study): Protocol for a Longitudinal, Observational Feasibility Study
