Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Human Factors

Date Submitted: Feb 21, 2023
Date Accepted: Mar 2, 2024

The final, peer-reviewed published version of this preprint can be found here:

Usability of an Automated System for Real-Time Monitoring of Shared Decision-Making for Surgery: Mixed Methods Evaluation

Hoffmann C, Avery K, Macefield R, Dvořák T, Snelgrove V, Blazeby J, Hopkins D, Hickey S, Gibbison B, Rooshenas L, Williams A, Aning J, Bekker HL, McNair AG, The ALPACA Study Team

Usability of an Automated System for Real-Time Monitoring of Shared Decision-Making for Surgery: Mixed Methods Evaluation

JMIR Hum Factors 2024;11:e46698

DOI: 10.2196/46698

PMID: 38598276

PMCID: 11043934

Warning: This is an author submission that is not peer-reviewed or edited.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.

Usability of an Automated System for Real-time Monitoring of Shared Decision Making for Surgery: A Mixed Methods Evaluation

  • Christin Hoffmann; 
  • Kerry Avery; 
  • Rhiannon Macefield; 
  • Tadeáš Dvořák; 
  • Val Snelgrove; 
  • Jane Blazeby; 
  • Della Hopkins; 
  • Shireen Hickey; 
  • Ben Gibbison; 
  • Leila Rooshenas; 
  • Adam Williams; 
  • Jonathan Aning; 
  • Hilary L Bekker; 
  • Angus GK McNair; 
  • The ALPACA Study Team

ABSTRACT

Background:

Improving shared decision making (SDM) for patients has become a health policy priority in many countries. Achieving high-quality SDM is particularly important for surgical treatment decisions. Large-scale monitoring of surgical patients’ experience of SDM in real-time is needed to identify failings of SDM before surgery happens. We developed a novel approach to automating real-time data collection through an electronic measurement system to address this. Examining usability will facilitate its optimization and wider implementation to inform interventions aiming to improve SDM.

Objective:

This study examined the usability of an electronic, real-time measurement system to monitor surgical patients’ experience of SDM. Objectives were to evaluate metrics and indicators relevant to system effectiveness, system efficiency and user satisfaction.

Methods:

A mixed-method usability evaluation used multiple participant cohorts. The measurement system was implemented in a large acute care hospital providing metrics for data collected between April and December 2021. Patients’ experience of SDM was assessed prior to surgery using 2 validated measures (CollaboRATE, SDM-Q-9) sent via email or SMS text messaging. The study invited adult patients booked for urgent and elective surgery across 7 specialties. Patients without capacity to consent for medical procedures, those without access to an appropriate internet-enabled device and those undergoing emergency and endoscopic procedures were excluded. User testing sessions and semi-structured interviews with 2 groups of service users were performed. Participants were individuals from 2 patient experience panels who had not completed the measurement system (Group 1), and a sub-set of patients who had completed the measurement system (Group 2). Quantitative data analysis used descriptive statistics. Calculated were task completion rate and survey response rate (system effectiveness) and task completion time, task efficiency, and relative efficiency (system efficiency). Qualitative thematic analysis identified indicators of good usability (user satisfaction).

Results:

A total of 5,794 surgical patients received invitations to complete the measurement. Some 25 service users (n=9 in Group 1; n=16 in Group 2) participated in user testing sessions and interviews. Task completion was high (169/171, 99%) and survey response rate was good (2,254, 39%). Median task completion time was 3 minutes (IQR:2,13), suggesting good system efficiency and effectiveness. The measurement system was perceived as acceptable, easy to access and easy to use, indicating good user satisfaction. Service users identified potential barriers and solutions to acceptability and ease of access that can inform strategies for optimizing the measurement system in future.

Conclusions:

A mixed-method evaluation of an electronic measurement system for automated, real-time monitoring of patients’ experience of SDM showed that usability amongst patients was high. Findings will be used alongside further evaluation to demonstrate scalability of the system. Future pilot work will optimize the system for wider implementation to ultimately inform intervention development to improve SDM.


 Citation

Please cite as:

Hoffmann C, Avery K, Macefield R, Dvořák T, Snelgrove V, Blazeby J, Hopkins D, Hickey S, Gibbison B, Rooshenas L, Williams A, Aning J, Bekker HL, McNair AG, The ALPACA Study Team

Usability of an Automated System for Real-Time Monitoring of Shared Decision-Making for Surgery: Mixed Methods Evaluation

JMIR Hum Factors 2024;11:e46698

DOI: 10.2196/46698

PMID: 38598276

PMCID: 11043934

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.