The Effect of the Medical Device-related Pressure Injury Prevention Algorithm on Nurses' Knowledge and its Severity in Intensive Care Units

This study utilized a single-group, pre-test/post-test quasi-experimental design, conducted in the General Intensive Care Unit from February 1403 to April 1404 (Persian calendar). The sample comprised 38 nurses and 77 patients. The study aimed to measure the effectiveness of applying a pressure injury prevention algorithm, specifically focusing on Medical Device-Related Pressure Injury (MDRPI). Nurses’ knowledge was assessed using the MDRPUKQ questionnaire, and patient outcomes were monitored using baseline and post-intervention data on pressure injury prevalence. Data were analyzed using SPSS version 26 software, employing both descriptive and inferential statistics. Training in the MDRPI prevention algorithm significantly improved the nurses’ knowledge scores. The mean knowledge score increased from 57.74before training to 89.55 afterward. Furthermore, the implementation of the algorithm was associated with a reduction in pressure injury prevalence and severity among patients. Before implementation, the distribution of pressure injuries was: Stage 1 (%29.9 of patients), Stage 2 (%9.1), and Stage 3 (%1.3). Following the intervention, the prevalence dropped to Stage 1 (%24.7) and Stage 2 (%5.2), with no new Stage 3 injuries reported. The results of this study clearly demonstrate that training on the MDRPI prevention algorithm positively impacts nurses’ knowledge. Crucially, the implementation of this algorithm affects the severity and prevalence of pressure injury, showing a significant reduction in Stages 1, 2, and 3 of MDRPI. Consistent application of this prevention strategy is therefore recommended to enhance the quality of nursing care and potentially contribute to a reduced length of stay for patients in intensive care units.