The Views of Healthcare Professionals on iFall, a Smartphone Application for Falls Reporting in Parkinson’s Disease: A Qualitative Study

Michael Kelly, Jenni Naisby, Jill Wales, Elaine Webster, Gerry Standerline, Gill Barry, Annee Amjad, Jason Moore, Natasha Ratcliffe, Alan Godfrey, Rosie Morris*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Background: Accurate falls reporting is important in the management of Parkinson’s disease. One way in which to improve accuracy is by providing a smartphone app to log fall events. This qualitative study sought to gain insights from healthcare professionals based in the United Kingdom on a novel smartphone application co-developed by people with Parkinson’s (PwP) disease for falls reporting. Research Methods: A purposive sample of n=11 healthcare professionals with expertise in Parkinson’s were recruited to take part in a focus group to explore their views on the smartphone app. Framework analysis was utilised to interpret the data. Results: Participants discussed the applications role in clinical practice, research, and provided recommendations for future improvements. Within the overarching theme of implementation of iFall in clinical and research practice, three subthemes emerged: (1) applicability to clinical practice, (2) the future of iFall in research and (3) future developments. The application was viewed positively, exhibiting potential to address important contemporary issues within falls reporting and research, whilst being clear, simple and easy to use. Implementation challenges of the application, such as IT integration were highlighted, while enhancements such as voice recognition were suggested. Conclusions: Incorporating suggestions from healthcare professionals and piloting of the application with PwP will increase the likelihood of successful implementation of the iFall app into clinical practice and research.
Original languageEnglish
Pages (from-to)405-416
Number of pages12
JournalJournal of Geriatric Psychiatry and Neurology
Volume38
Issue number5
Early online date1 Feb 2025
DOIs
Publication statusPublished - 1 Sept 2025

Keywords

  • Parkinson’s disease
  • co-design
  • digital measurement tool
  • falls

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