106 Measurement of shared decision making automatically and in real-time: a mixed-methods usability study

ALPACA Study team, Christin Hoffmann*, Kerry N L Avery, Rhiannon C Macefield, Tadeas Dvorak, Val Snelgrove, Hilary L Bekker, Jane Blazeby, Angus G K McNair

*Corresponding author for this work

Research output: Contribution to conferenceConference Abstract

Abstract

Introduction:
High-quality shared decision making(SDM) is a policy and patient priority for modern healthcare systems. Optimal ways to achieve organisation-wide, sustained improvements in SDM processes are lacking.1 2 Electronic measurement allows large-scale, real-time monitoring of patients’ experiences of SDM and may facilitate timely interventions to improve SDM. This work explored the usability of an automated measurement system to monitor surgical patients’ experience of the SDM process.

Methods:
This mixed-methods study evaluated the usability of an automated measurement system monitoring surgical patients’ SDM experience in a large hospital. System effectiveness, efficiency and user satisfaction were assessed following ISO guidelines.3 Online questionnaires (CollaboRATE,SDM-Q-9) measured patients’ experience of SDM before surgery. All urgent/elective surgery patients across seven specialties received invitations. Patients without capacity and those undergoing emergency/endoscopic procedures were excluded. User testing sessions and semi-structured interviews with patients were conducted.

Results:
Some 5,794 surgical patients received invitations to complete the measurement system. Task completion was high (99%) and the survey response rate was good (39%). Median task completion time was 3 minutes (IQR:2,13), suggesting good system efficiency and effectiveness. Nine testing sessions and 16 interviews explored views of 25 patients. The system was perceived as acceptable, easy to access/use, indicating good user satisfaction. Patients identified potential barriers and solutions to usability.

Discussion:
Knowledge of usability of a novel approach to monitor SDM surgical patients’ SDM experience routinely and at large scale informed strategies to optimise and implement the system in other healthcare institutions.

Conclusion(s):
A mixed-method evaluation of an electronic system for automated, real-time measurement of patients’ experience of SDM processes showed that usability amongst patients was high. Findings will be used to develop timely interventions to improve SDM before surgery.
Original languageEnglish
DOIs
Publication statusPublished - 10 Jul 2024
Event12th International Shared Decision Making Conference 2024 (ISDM 2024) - Lausanne, Switzerland
Duration: 7 Jul 202410 Jul 2024
https://unisante-events.com/isdm2024/

Conference

Conference12th International Shared Decision Making Conference 2024 (ISDM 2024)
Abbreviated titleISDM2024
Country/TerritorySwitzerland
CityLausanne
Period7/07/2410/07/24
Internet address

Bibliographical note

Publisher Copyright:
© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.

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