PUP Socks-The Steps That Saves
Publication Date
2026
Presentation Length
Poster/Gallery presentation
College
Gordon E. Inman College of Nursing
Department
Nursing, School of
Student Level
Undergraduate
Faculty Mentor
Dr. Linda Wofford
Presentation Type
Article
Summary
The purpose of this project is to implement PUP Socks technology on a medical-surgical unit as an additional fall prevention strategy to improve early identification of patients attempting to ambulate without assistance and decrease nurse response time. This intervention aligns with nursing practice and leadership priorities focused on patient safety, quality improvement, and reducing preventable harm. Patient falls remain a persistent safety concern despite existing interventions, highlighting the need for innovative approaches like PUP Socks that utilize sensors to detect when a patient’s foot touches the ground and Bluetooth technology to notify the nearest three nurses. The unit is a 38-bed acute care unit struggling with patient falls despite multiple prevention measures. Approximately 684,000 fatal falls occur annually, with the highest mortality rates among adults aged 60 years and older (Moon et al., 2025). The project timeline spans one year, including four months for introduction, education, and training for clinical staff, followed by micro-tests and audits to guide adjustments before the final six-month implementation period. The estimated cost for a six-month trial is $38,083, based on $11 per patient per day and an estimated 50%-unit utilization. Using baseline data, program success will be reduced fall rates to ≤1.3 falls per 1,000 patient-days and maintaining an alarm response time of ≤30 seconds, and staff compliance demonstrated through completed training and documented use with fall-risk patients. Ongoing auditing will support sustainability and potential facility-wide expansion.
Recommended Citation
Baker, P. A., Roderick, M. W., & Baker, C. J. (2021). PUP (patient is up) smart sock technology prevents falls among hospital patients with high fall risk in a clinical trial and observational study. Journal of Gerontological Nursing, 47(10), 37–43. https://doi.org/10.3928/00989134-20210908-06 Moon, D., Kim, T., Lim, M., & Han, S. (2025). Evaluation of risk factors for fall incidence based on statistical analysis. International Journal of Environmental Research and Public Health, 22. https://doi.org/10.3390/ijerph22050748. Moore, T., Kline, D., Palettas, M., & Bodine, T. (2023). Fall prevention with the smart socks system reduces hospital fall rates. Journal of Nursing Care Quality, 38(1). https://doi.org/10.1097/ncq.0000000000000653
