Abstract
This study aimed to develop a straightforward and highly accurate clinical prediction model, termed the “Scale for Difficult Peripheral Intravenous Access in Cancer Pharmacotherapy (DPIVA-CP Scale),” to assess the level of difficulty associated with peripheral venous catheter placement during cancer pharmacotherapy, as well as to validate its internal consistency. The study involved 1,392 puncture cases conducted by nurses at a single facility, where data on puncture outcomes and potential predictors were collected. A prediction model was constructed using logistic regression analysis. The model′s compatibility and accuracy were evaluated through various tests, including the Hosmer-Lemeshow test and the receiver operating characteristic (ROC) curve. Internal validity was verified using the bootstrap method. Based on analyses of patient characteristics and conditions present on the day of the puncture, six items were selected as components of the prediction model for DPIVA-CP Scale. The final model demonstrated a commendable prediction accuracy with an area under the curve of 0.8 (p<0.001), and internal validation confirmed that all variables remained statistically significant, indicating a stable estimation.
