One Size Fits None. How can we do better? using patient reported experience measure findings to drive local quality improvement across wards in a large Australian metropolitan hospital
Our study found there were substantial differences between the issues and details reported by patients across different wards, highlighting the importance of analysing PREMs at a ward level to inform quality improvement. We demonstrated a standardised way to analyse this data at ward level by employing semi-automated content analysis. These findings provide a clear method that health services can use to analyse PREMs data to drive on-the-ground quality improvement for patients.
Authors
- William Pinzon Pérez
- Teyl Engstrom (ORCID: https://orcid.org/0000-0002-1778-5006)
- Jason D. Pole (ORCID: https://orcid.org/0000-0002-0413-5434)
- Christine Petrie
- Clair M. Sullivan (ORCID: https://orcid.org/0000-0003-2475-9989)
Institutions
- Queensland Health (AU)
- The University of Queensland (AU)
- Royal Brisbane and Women's Hospital (AU)
- Queensland Rail (AU)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1016/j.ijmedinf.2025.106078
- Primary Topic
- Patient Satisfaction in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00