The Significance of a Cerebrovascular Accident Outcome Prediction Model for Patients, Family Members, and Health Care Professionals: Qualitative Evaluation Study
There is a need for the use of a prediction model to assess CVA outcomes, as indicated by the general approval of participants in both the focus groups and the questionnaire survey. We recommend that the prediction model be geared toward HCPs, as they can provide the context necessary for patients and informal caregivers. Good reliability and relevance of the prediction model will be essential for its wide adoption.
Authors
- Aart van Halteren (ORCID: https://orcid.org/0000-0002-9631-0657)
- P. B. van der Nat (ORCID: https://orcid.org/0000-0002-0990-073X)
- Corinne G. Allaart (ORCID: https://orcid.org/0000-0002-5262-3723)
- Lea Magdalena Dijksman (ORCID: https://orcid.org/0000-0001-9227-1390)
- Douwe H. Biesma (ORCID: https://orcid.org/0000-0001-8334-3057)
- Sanne van Houwelingen
- P.H.E. Hilkens (ORCID: https://orcid.org/0009-0002-2344-9348)
Institutions
- Radboud University Nijmegen (NL)
- Leiden University Medical Center (NL)
- Radboud University Medical Center (NL)
- St. Antonius Ziekenhuis (NL)
- Philips (Netherlands) (NL)
- Santeon (Netherlands) (NL)
- Vrije Universiteit Amsterdam (NL)
Publication Details
- Journal
- JMIR Human Factors
- Published
- 2024-11-20
- DOI
- https://doi.org/10.2196/56521
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek