Requirements and Value Elicitation for a High-Fidelity Pelvic Floor Simulator for Physiotherapists: Mixed Methods Study

Yael Zekaria*, Antonia Tzemanaki, Jonathan M Rossiter

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

Background:
Physiotherapists lack training opportunities for repeated practice of pelvic examinations for the identification of pelvic floor disorders (PFDs), leading to low confidence in the clinical setting. Pelvic simulators exist and are a valuable supplement to the medical curriculum, yet none demonstrate pelvic floor muscle (PFM) function or dysfunction. To design effective simulators, an assessment of end-user requirements is essential.

Objective:
This study aimed to elicit physiotherapists’ needs and requirements for a high-fidelity PFM simulator and the associated use cases.

Methods:
This study followed a mixed methods design by collecting qualitative and quantitative data from a web-based survey. Quantitative data were analyzed using descriptive statistics and differences between demographic groups were calculated using 2-sample Kolmogorov-Smirnov 2-sided tests. Qualitative data were analyzed using thematic analysis.

Results:
In total, 66 physiotherapists completed the survey. The most common suggested use cases of the simulator were for training and professional development (56/66, 84.9%), and patient education (48/66, 72.7%). Pelvic organ prolapse and muscle tone function and dysfunction were identified as the most useful PFDs for the simulator to demonstrate. Positional tracking and force sensing were considered important features and there was a preference for a generic over a pathology-specific or patient-specific simulator. A total of 3 themes emerged through the qualitative analysis: prioritizing patient care; representing the variability in anatomy and PFDs for simulator realism; and consideration of the implementation, cost, and accessibility of simulators.

Conclusions:
There is value in PFM simulators for physiotherapists for multiple use cases. Design recommendations include using realistic materials, demonstrating PFM dynamics, modularity to vary the complexity for different end-users, offering a range of feedback modalities for position and pressure sensing, and ensuring affordability and curriculum integration.
Original languageEnglish
Article numbere72119
Number of pages14
JournalJMIR Human Factors
Volume12
DOIs
Publication statusPublished - 15 May 2025

Bibliographical note

Publisher Copyright:
© Yael Zekaria, Antonia Tzemanaki, Jonathan Rossiter.

Research Groups and Themes

  • Robotics
  • Medical Simulator
  • Pelvic Health
  • Medical Education

Keywords

  • medical education
  • physiotherapy
  • medical devices
  • pelvic examination
  • high-fidelity simulation
  • simulation-based learning

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