Related Experiment Video
Updated: Jan 30, 2026

Optimized Intravenous Injection in Adult Zebrafish
Published on: December 20, 2024
The Modified A-DIVA Scale as a Predictive Tool for Prospective Identification of Adult Patients at Risk of a
Fredericus H J van Loon1,2, Loes W E van Hooff3, Hans D de Boer4
1Department of Technical and Anesthesia Nursing Sciences, Fontys University of Applied Sciences, 5631 Eindhoven, The Netherlands. rick.v.loon@catharinaziekenhuis.nl.
Abstract:
Peripheral intravenous cannulation is the most common invasive hospital procedure but is associated with a high failure rate. This study aimed to improve the A-DIVA scale (Adult Difficult Intra Venous Access Scale) by external validation, to predict the likelihood of difficult intravenous access in adults. This multicenter study was carried out throughout five hospitals in the Netherlands. Adult participants were included, regardless of their indication for intravenous access, demographics, and medical history. The main outcome variable was defined as failed peripheral intravenous cannulation on the first attempt. A total of 3587 participants was included in this study. The first attempt success rate was 81%. Finally, five variables were included in the prediction model: a history of difficult intravenous cannulation, a difficult intravenous access as expected by the practitioner, the inability to detect a dilated vein by palpating and/or visualizing the extremity, and a diameter of the selected vein less than 3 millimeters. Based on a participant's individual score on the A-DIVA scale, they were classified into either a low, moderate, or high-risk group. A higher score on the A-DIVA scale indicates a higher risk of difficult intravenous access. The five-variable additive A-DIVA scale is a reliable and generalizable predictive scale to identify patients at risk of difficult intravenous access.
Related Concept Videos
Reliability and Validity
Imaging Studies V: Intravenous Urography and Retrograde Pyelography
pH Scale
Predicting Molecular Geometry
Relative Risk
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

