Literature DB >> 34372822

A model of integrated remote monitoring and behaviour change for osteoarthritis.

Christopher Tack1.   

Abstract

BACKGROUND: The National Institute for Health and Care Excellence recommends the use of digital and mobile health technologies to facilitate behaviour change interventions. Due to its high prevalence and dependence upon patient self-management strategies, osteoarthritis is one musculoskeletal condition which may benefit from such approaches. This is particularly pertinent due to the increasing use of remote monitoring technologies to collect patient data and facilitate self-management in individuals outside of hospital clinics. In practice however, application of digital behaviour change interventions is difficult due to insufficient reporting of behaviour change theories in the current literature. When digital technologies are employed to alter behaviour change in osteoarthritis, they often focus on physical activity. Currently, such interventions focus of self-efficacy but do not often explicitly report the behaviour change techniques they use to facilitate these changes.
METHODS: This paper proposes a new model of integrating specific behaviour change principles (persuasive design) in an integrated model of remote monitoring and digital behaviour change interventions for osteoarthritis.
RESULTS: There is potential to combine remote monitoring systems of patient data through digital and mobile technologies with behaviour change principles to improve physical activity behaviours in individuals with osteoarthritis. The use of persuasive design principles (e.g. prompts or nudges) through mobile notifications and strategic system design can be directed to enhance behaviour change. A validated measure of behaviour change, such as the patient activation measure, will allow effective evaluation of such systems.
CONCLUSIONS: Digital behaviour change interventions should be directed towards the underlying principles of behaviour change they employ, although this is not commonly reported in practice. Such interventions can be integrated within remote monitoring pathways using persuasive design techniques to enhance patient activation. This approach can enhance self-management in individuals with musculoskeletal conditions, such as osteoarthritis.
© 2021. The Author(s).

Entities:  

Keywords:  Digital behaviour change interventions; Mobile health; Osteoarthritis; Persuasive design; Remote monitoring

Year:  2021        PMID: 34372822     DOI: 10.1186/s12891-021-04555-4

Source DB:  PubMed          Journal:  BMC Musculoskelet Disord        ISSN: 1471-2474            Impact factor:   2.362


  23 in total

1.  Evidence-based behavioral medicine: what is it and how do we achieve it?

Authors:  Karina W Davidson; Michael Goldstein; Robert M Kaplan; Peter G Kaufmann; Genell L Knatterud; C Tracy Orleans; Bonnie Spring; Kimberlee J Trudeau; Evelyn P Whitlock
Journal:  Ann Behav Med       Date:  2003-12

2.  Effectiveness of a smartphone application to promote physical activity in primary care: the SMART MOVE randomised controlled trial.

Authors:  Liam G Glynn; Patrick S Hayes; Monica Casey; Fergus Glynn; Alberto Alvarez-Iglesias; John Newell; Gearóid OLaighin; David Heaney; Martin O'Donnell; Andrew W Murphy
Journal:  Br J Gen Pract       Date:  2014-07       Impact factor: 5.386

Review 3.  Exercise in osteoarthritis: moving from prescription to adherence.

Authors:  Kim L Bennell; Fiona Dobson; Rana S Hinman
Journal:  Best Pract Res Clin Rheumatol       Date:  2014-02       Impact factor: 4.098

4.  Patient expectations and experiences of remote monitoring for chronic diseases: Systematic review and thematic synthesis of qualitative studies.

Authors:  Rachael C Walker; Allison Tong; Kirsten Howard; Suetonia C Palmer
Journal:  Int J Med Inform       Date:  2019-01-29       Impact factor: 4.046

5.  The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions.

Authors:  Susan Michie; Michelle Richardson; Marie Johnston; Charles Abraham; Jill Francis; Wendy Hardeman; Martin P Eccles; James Cane; Caroline E Wood
Journal:  Ann Behav Med       Date:  2013-08

Review 6.  The behavioral intervention technology model: an integrated conceptual and technological framework for eHealth and mHealth interventions.

Authors:  David C Mohr; Stephen M Schueller; Enid Montague; Michelle Nicole Burns; Parisa Rashidi
Journal:  J Med Internet Res       Date:  2014-06-05       Impact factor: 5.428

7.  A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study.

Authors:  Felix Naughton; Sarah Hopewell; Neal Lathia; Rik Schalbroeck; Chloë Brown; Cecilia Mascolo; Andy McEwen; Stephen Sutton
Journal:  JMIR Mhealth Uhealth       Date:  2016-09-16       Impact factor: 4.773

Review 8.  Digital Health Behavior Change Technology: Bibliometric and Scoping Review of Two Decades of Research.

Authors:  Fawad Taj; Michel C A Klein; Aart van Halteren
Journal:  JMIR Mhealth Uhealth       Date:  2019-12-13       Impact factor: 4.773

9.  Remote Monitoring of Chronic Diseases: A Landscape Assessment of Policies in Four European Countries.

Authors:  Katherine Rojahn; Suzanne Laplante; James Sloand; Claire Main; Aftab Ibrahim; Janet Wild; Nicky Sturt; Thelga Areteou; K Ian Johnson
Journal:  PLoS One       Date:  2016-05-19       Impact factor: 3.240

10.  An mHealth Intervention Using a Smartphone App to Increase Walking Behavior in Young Adults: A Pilot Study.

Authors:  Jane C Walsh; Teresa Corbett; Michael Hogan; Jim Duggan; Abra McNamara
Journal:  JMIR Mhealth Uhealth       Date:  2016-09-22       Impact factor: 4.773

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