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Currently submitted to: JMIR Human Factors

Date Submitted: Sep 4, 2025

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

C8 Health, a platform for implementation of best practices: a survey-based usability study

  • Faria Nisar; 
  • Nicolas Mario D Alessandro; 
  • Jessica Suratkal; 
  • Ido Zamberg; 
  • Samantha Elen Pope; 
  • Ali Ali; 
  • Luis Etienne Tollinche

ABSTRACT

Background:

Mobile health (mHealth) applications are increasingly integrated into clinical workflows to support decision-making and adherence to best practices. Usability is a critical determinant of adoption, engagement, and long-term use.

Objective:

This study aimed to evaluate the usability of the C8-Health platform deployed in the Department of Anesthesiology at MetroHealth in 2024.

Methods:

A quality improvement initiative was conducted using the Modified Application Usability Questionnaire (MAUQ). A total of 142 anesthesiology clinicians participated by completing the survey. Data were analyzed according to the SQUIRE guidelines for quality reporting, with mean scores calculated for core usability domains.

Results:

The overall MAUQ scores indicated high usability, with mean scores greater than 5.5 across core items (Mean MAUQ score: 5.73 ± 0.81). These findings suggest strong user satisfaction and positive engagement with the C8-Health platform among anesthesiology clinicians.

Conclusions:

The C8-Health platform demonstrated high usability in an anesthesiology setting. These results support its integration as a clinical decision support tool to enhance workflow efficiency and adherence to best practices.


 Citation

Please cite as:

Nisar F, D Alessandro NM, Suratkal J, Zamberg I, Pope SE, Ali A, Tollinche LE

C8 Health, a platform for implementation of best practices: a survey-based usability study

JMIR Preprints. 04/09/2025:83547

DOI: 10.2196/preprints.83547

URL: https://preprints.jmir.org/preprint/83547

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