Comparing visual and automated urine dipstick analysis in a general practice population
Automated and visual dipstick analysis show near perfect agreement and perform similarly in predicting bacteriuria. However, automated analysis requires maintenance and occasionally measurement errors can occur.
Authors
- Guy J. Oudhuis
- Eefje de Bont (ORCID: https://orcid.org/0000-0002-2700-4752)
- Stefan Martinus Leonardus Cox (ORCID: https://orcid.org/0000-0001-6804-936X)
- Paul H. M. Savelkoul (ORCID: https://orcid.org/0000-0002-3527-6950)
- Rogier Hopstaken (ORCID: https://orcid.org/0000-0002-8357-5197)
- Jochen Cals (ORCID: https://orcid.org/0000-0001-9550-5674)
- P. Hoitinga
Institutions
- Maastricht University Medical Centre (NL)
- Maastricht University (NL)
- Guilford Press (United States) (US)
- Department of Health Services (NP)
Publication Details
- Journal
- Scandinavian Journal of Primary Health Care
- Published
- 2024-08-20
- DOI
- https://doi.org/10.1080/02813432.2024.2392776
- Citations
- 3
- Primary Topic
- Urinary Tract Infections Management
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- ZonMw