| 英文摘要 |
Failure to remove a tourniquet in a timely manner may result in prolonged tissue compression, leading to pressure injuries, tissue necrosis, thrombosis, and other preventable patient safety events. To address this clinical safety concern, this study developed and evaluated the Dual-Alert Tourniquet, an innovative device designed to reduce omission-related errors associated with forgotten tourniquet removal. The device incorporates both visual illumination and auditory reminder functions, embedding a real-time alert mechanism directly into the tourniquet to reduce reliance on human memory during routine clinical practice. A before-and-after quality improvement study was conducted in the cardiovascular intensive care unit of a tertiary medical center in northern Taiwan. Thirty nurses who routinely performed procedures requiring tourniquet application participated in the intervention. The effectiveness of the intervention was evaluated using patient safety incident reports and user satisfaction surveys. Outcomes included the occurrence of unremoved tourniquet events and healthcare professionals’satisfaction with the device. Prior to implementation, three incidents of forgotten tourniquet removal were reported, corresponding to an event rate of approximately 0.23%. Following implementation of the Dual-Alert Tourniquet, no further incidents were reported during the observation period, resulting in a reduction of the event rate to zero. No device-related adverse events, including patient discomfort, skin irritation, or device detachment, were observed. In addition, mean satisfaction scores for reminder effectiveness, ease of use, and clinical applicability were all greater than 4.6 on a 5-point Likert scale, indicating high user acceptance. These findings suggest that integrating reminder mechanisms directly into routinely used clinical devices may effectively reduce human-factor-related omissions and enhance patient safety. As a low-cost, workflow-integrated patient safety intervention, the Dual-Alert Tourniquet demonstrates promising potential for broader implementation across diverse healthcare settings. |