Performance of a web-based application measuring spot quality in dried blood spot samplingVeenhof, H., Koster, R. A., Brinkman, R., Senturk, E., Bakker, S. J. L., Berger, S. P., Akkerman, O. W., Touw, D. J. & Alffenaar, J-W. C., 2-Aug-2019, In : Clinical chemistry and laboratory medicine. 8 p.
Research output: Contribution to journal › Article › Academic › peer-review
- Lifestyle Medicine (LM)
- Groningen Institute for Organ Transplantation (GIOT)
- Groningen Kidney Center (GKC)
- Microbes in Health and Disease (MHD)
- Pharmaceutical Analysis
- Critical care, Anesthesiology, Peri-operative and Emergency medicine (CAPE)
- Groningen Research Institute for Asthma and COPD (GRIAC)
- Biopharmaceuticals, Discovery, Design and Delivery (BDDD)
- Pharmacokinetics, Toxicology and Targeting
Background The dried blood spot (DBS) method allows patients and researchers to collect blood on a sampling card using a skin-prick. An important issue in the application of DBSs is that samples for therapeutic drug monitoring are frequently rejected because of poor spot quality, leading to delayed monitoring or missing data. We describe the development and performance of a web-based application (app), accessible on smartphones, tablets or desktops, capable of assessing DBS quality at the time of sampling by means of analyzing a picture of the DBS. Methods The performance of the app was compared to the judgment of experienced laboratory technicians for samples obtained in a trained and untrained setting. A robustness- and user test were performed. Results In a trained setting the app yielded an adequate decision in 90.0% of the cases with 4.1% false negatives (insufficient quality DBSs incorrectly not rejected) and 5.9% false positives (sufficient quality DBSs incorrectly rejected). In an untrained setting this was 87.4% with 5.5% false negatives and 7.1% false positives. A patient user test resulted in a system usability score of 74 out of 100 with a median time of 1 min and 45 s to use the app. Robustness testing showed a repeatability of 84%. Using the app in a trained and untrained setting improves the amount of sufficient quality samples from 80% to 95.9% and 42.2% to 87.9%, respectively. Conclusions The app can be used in trained and untrained setting to decrease the amount of insufficient quality DBS samples.
|Number of pages||8|
|Journal||Clinical chemistry and laboratory medicine|
|Publication status||E-pub ahead of print - 2-Aug-2019|