A Systematic Multidisciplinary Process for User Engagement and Sensor Evaluation: Development of a Digital Toolkit for Assessment of Movement in Children with Cerebral Palsy

L Kent, I Cleland, Catherine Saunders, Andrew Ennis, Laura Finney, Claire kerr

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
56 Downloads (Pure)

Abstract

Objectives: To describe and critique a systematic multidisciplinary approach to user engagement, and selection and evaluation of
sensor technologies for development of a sensor-based Digital Toolkit for assessment of movement in children with cerebral palsy
(CP).
Methods: A sequential process was employed comprising three steps: Step 1: define user requirements, by identifying domains of
interest; Step 2: map domains of interest to potential sensor technologies; and Step 3: evaluate and select appropriate sensors to
be incorporated into the Digital Toolkit. The process employed a combination of principles from frameworks based in either
healthcare or technology design (NIHR 2019; Caulfield et al 2019; Booth et al 2019).
Results: A broad range of domains were ranked as important by clinicians, patients and families and industry users. These directly informed the device selection and evaluation process that resulted in three sensor-based technologies being agreed for inclusion in the Digital Toolkit, for use in a future research study.
Conclusion: This report demonstrates a systematic approach to user engagement and device selection and evaluation during the development of a sensor-based solution to a healthcare problem. It also provides a narrative on the benefits of employing a multidisciplinary approach throughout the process. This work uses previous frameworks for evaluating sensor technologies and expands on the methods used for user engagement.
Original languageEnglish
Article number692112
Pages (from-to)1-39
Number of pages39
JournalFrontiers in Digital Health
Early online date24 Jun 2021
DOIs
Publication statusPublished (in print/issue) - 24 Jun 2021

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