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Usability testing a web application to support evidence-based commissioning decisions for implementing mobile stroke

Lisa Moseley1, Anna Laws2, Michael Allen2

  • 1Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK.

NPJ Digital Medicine
|May 9, 2025
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Summary

Developing a digital tool using agile methods and co-design improved healthcare commissioning for mobile stroke units (MSUs). This approach enhances evidence usability for complex decisions and stakeholder engagement.

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Area of Science:

  • Health Services Research
  • Digital Health
  • Health Informatics

Background:

  • Healthcare innovation commissioning requires high-quality, usable evidence.
  • Existing evidence formats often hinder effective commissioning decisions.
  • Digital tools can bridge the gap between evidence generation and practical application.

Purpose of the Study:

  • To develop and test a digital web application using agile and co-design methods.
  • To incorporate machine learning models for stroke outcomes to inform mobile stroke unit (MSU) commissioning.
  • To assess the usability of the digital tool and gather insights into commissioning complexities.

Main Methods:

  • Agile methodology and qualitative co-design were employed for application development.
  • Machine learning models predicting stroke outcomes were integrated.
  • Usability testing utilized the think-aloud methodology with 16 stakeholders.
  • Thematic analysis was performed on participant data.

Main Results:

  • The study identified necessary improvements for the web application.
  • Novel insights into context-specific healthcare commissioning challenges were generated.
  • The digital tool influenced participants' perceptions of mobile stroke unit viability.
  • Empirical evidence supports digital dissemination for commissioning processes.

Conclusions:

  • Innovative digital dissemination methods are crucial for engaging with healthcare commissioning.
  • Accessible tools can help prospectively understand and address commissioning challenges.
  • The developed application demonstrated potential for informing decisions on implementing mobile stroke units.