The Osteoarthritis Technology Network Plus (OATech Network+): a multidisciplinary approach to improving patient outcomes

Sawle, Leanne; Bull, Anthony M.J.; Conaghan, Philip G.; Pitsillides, A A; Rowe, Philip; Holt, Catherine Avril

doi:10.1016/j.physio.2017.11.062

Cited by 3 publications

(3 citation statements)

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“…The driver for larger scale biomechanics research outputs within OA conditions is supported by the increasing availability of newly developing technology (Mangal and Tiwari 2021). The OATech Network+ (Sawle et al 2017) is a collaborative UK based research network developing technology solutions for OA and identi ed novel and emerging technology advances should play a key role in directing OA research diagnosis, treatment and monitoring (Mennan et al 2020).…”

Section: Research Objectivementioning

confidence: 99%

Biomechanics Beyond the Lab: Remote Technology for Osteoarthritis Patient Data - A Scoping Review

Hamilton

Williams

Consortium³

et al. 2022

Preprint

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The objective of the project was to produce a review of available and validated technology suitable for gathering biomechanical and functional research data in patients with osteoarthritis (OA), outside of a traditional fixed laboratory setting. A scoping review was conducted using defined search terms across three databases (SCOPUS, OVID MEDLINE, and PEDRO) and additional sources of information from grey literature were added. One author carried out an initial title and abstract review, and two authors independently completed full text screenings. Out of the total 5,164 articles screened, 75 were included based on inclusion criteria covering a range of technologies in articles published from 2015. These were subsequently categorised by technology type (wearables-IMUs, wearables-other, insoles/platforms and cameras) and metric (kinematic and spatiotemporal measures (SPTs), kinetic and SPTs, joint angles/ROM only and EMG), and as suitable for portable, part remote or remote use. Those technologies that are commercially available were also identified. Results concluded that from the growing number of available and emerging technologies, there is a well-established range in use. These are primarily inertial measurement units, as well as other wearables and camera-based technologies, particularly for collection of gait SPTs. Results demonstrate that biomechanical and functional remote data collection is both feasible and has growing potential for OA researchers.

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Section: Research Objectivementioning

confidence: 99%

Biomechanics Beyond the Lab: Remote Technology for Osteoarthritis Patient Data - A Scoping Review

Hamilton

Williams

Consortium³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The incentive for larger-scale biomechanics research outputs within OA conditions is supported by the increasing availability of newly developing technologies ( 6 ). The OATech Network+ ( 7 ) is a collaborative UK-based research network developing technology solutions for OA, and identified novel and emerging technologies and technological advances should play a key role in directing OA research diagnosis, treatment, and monitoring ( 8 ).…”

Section: Introductionmentioning

confidence: 99%

Biomechanics beyond the lab: Remote technology for osteoarthritis patient data—A scoping review

Hamilton

Williams²,

Holt³

2022

Front. Rehabilit. Sci.

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The objective of this project is to produce a review of available and validated technologies suitable for gathering biomechanical and functional research data in patients with osteoarthritis (OA), outside of a traditionally fixed laboratory setting. A scoping review was conducted using defined search terms across three databases (Scopus, Ovid MEDLINE, and PEDro), and additional sources of information from grey literature were added. One author carried out an initial title and abstract review, and two authors independently completed full-text screenings. Out of the total 5,164 articles screened, 75 were included based on inclusion criteria covering a range of technologies in articles published from 2015. These were subsequently categorised by technology type, parameters measured, level of remoteness, and a separate table of commercially available systems. The results concluded that from the growing number of available and emerging technologies, there is a well-established range in use and further in development. Of particular note are the wide-ranging available inertial measurement unit systems and the breadth of technology available to record basic gait spatiotemporal measures with highly beneficial and informative functional outputs. With the majority of technologies categorised as suitable for part-remote use, the number of technologies that are usable and fully remote is rare and they usually employ smartphone software to enable this. With many systems being developed for camera-based technology, such technology is likely to increase in usability and availability as computational models are being developed with increased sensitivities to recognise patterns of movement, enabling data collection in the wider environment and reducing costs and creating a better understanding of OA patient biomechanical and functional movement data.

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“…We utilised the expertise within the OATech Network+ 13 to explore the current thinking on this topic. A qualitative thematic analysis approach was used to determine the key themes that emerged from the discussions.…”

Section: Introductionmentioning

confidence: 99%

Data sharing across osteoarthritis research groups and disciplines: Opportunities and challenges

Evans

Hamilton

Biggs

et al. 2022

Osteoarthritis and Cartilage Open

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The Osteoarthritis Technology Network Plus (OATech Network+): a multidisciplinary approach to improving patient outcomes

Cited by 3 publications

References 0 publications

Biomechanics Beyond the Lab: Remote Technology for Osteoarthritis Patient Data - A Scoping Review

Biomechanics Beyond the Lab: Remote Technology for Osteoarthritis Patient Data - A Scoping Review

Biomechanics beyond the lab: Remote technology for osteoarthritis patient data—A scoping review

Data sharing across osteoarthritis research groups and disciplines: Opportunities and challenges

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