36 Using Pressure Mapping to Understand and Prevent Hospital-Acquired Pressure Injuries in the Burn ICU

2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S28-S28
Author(s):  
Leen El Eter ◽  
Pooja S Yesantharao ◽  
Vidhi Javia ◽  
Emily h Werthman ◽  
Carrie A Cox ◽  
...  

Abstract Introduction Real-time pressure mapping devices may help prevent hospital-acquired pressure injury (HAPI) in Burn ICU (BICU) patients who are at a high baseline risk for HAPIs. While prior studies have demonstrated the utility of pressure monitoring devices in preventing pressure injuries, there has been little investigation into using pressure mapping data to better understand HAPI development, and to determine specific predictors of HAPIs. Such data could help risk stratify patients upon admission to the BICU and result in improved patient care as well as cost savings. This study retrospectively investigated the utility of pressure mapping data in predicting/preventing pressure injury among BICU patients, and estimated HAPI-related cost savings associated with the implementation of pressure monitoring. Methods This was a retrospective chart review of real-time pressure mapping in the BICU. Incidence of HAPIs and costs of HAPI-related care were determined through clinical record review, before and after implementation of pressure mapping. Multivariable-adjusted logistic regression was used to determine predictors of HAPIs, in the context of pressure mapping recordings. Results In total, 122 burn ICU patients met inclusion criteria during the study period, of whom 57 (47%) were studied prior to implementation of pressure mapping, and 65 (53%) were studied after implementation. The HAPI rate was 18% prior to implementation of pressure monitoring, which declined to 8% after implementation (chi square: p=0.10). HAPIs were more likely to be less severe in the post-implementation cohort (p< 0.0001). Upon multivariable-adjusted regression accounting for known predictors of HAPIs in burn patients (BMI, length of stay, co-morbidities, age, total body surface area burned, mobility), having had at least 12 hours of sustained pressure loading in one area significantly increased odds of developing a pressure injury in that area (odds ratio 1.3, 95%CI 1.0–1.5, p=0.04). When comparing patients who developed HAPIs to those who did not, pressure mapping demonstrated that patients who developed HAPIs were significantly more likely to have had unsuccessful repositioning efforts prior to HAPI development, defined as persistent high pressure in the at-risk area (60% versus 17%, respectively; p=0.02). Finally, implementation of pressure mapping resulted in significant cost savings ($2,063 prior to implementation, versus $1,082 after implementation, p=0.008). Conclusions The use of real-time pressure mapping decreased incidence of HAPIs in the burn ICU patients and resulted in significant cost savings.

Author(s):  
Pooja S Yesantharao ◽  
Leen El Eter ◽  
Vidhi Javia ◽  
Emily Werthman ◽  
Carrie Cox ◽  
...  

Abstract Although prior studies have demonstrated the utility of real-time pressure mapping devices in preventing pressure ulcers, there has been little investigation of their efficacy in burn intensive care unit (BICU) patients, who are at especially high risk for these hospital-acquired injuries. This study retrospectively reviewed clinical records of BICU patients to investigate the utility of pressure mapping data in determining the incidence, predictors and associated costs of hospital-acquired pressure injuries. Of 122 patients, 57 (47%) were studied prior to implementation of pressure mapping and 65 (53%) were studied after implementation. The hospital-acquired pressure injury rate was 18% prior to implementation of pressure monitoring, which declined to 8% post-implementation (chi square: p=0.10). Hospital acquired pressure injuries were less likely to be stage 3 or worse in the post-implementation cohort (p<0.0001). Upon multivariable-adjusted regression accounting for known predictors of hospital-acquired pressure injuries in burn patients, having had at least 12 hours of sustained pressure loading in one area significantly increased odds of developing a pressure injury in that area (odds ratio 1.3, 95%CI 1.0-1.5, p=0.04). Patients who developed hospital-acquired pressure injuries were significantly more likely to have had unsuccessful repositioning efforts in comparison to those who did not (p=0.02). Finally, implementation of pressure mapping resulted in significant cost savings - $6,750 (standard deviation: $1008) for HAPI-related care prior to implementation, versus $3,800 (standard deviation: $923) after implementation, p=0.008. In conclusion, the use of real-time pressure mapping decreased the morbidity and costs associated with hospital-acquired pressure injuries in BICU patients.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jenny Alderden ◽  
Kathryn P. Drake ◽  
Andrew Wilson ◽  
Jonathan Dimas ◽  
Mollie R. Cummins ◽  
...  

Abstract Background Hospital-acquired pressure injuries (HAPrIs) are areas of damage to the skin occurring among 5–10% of surgical intensive care unit (ICU) patients. HAPrIs are mostly preventable; however, prevention may require measures not feasible for every patient because of the cost or intensity of nursing care. Therefore, recommended standards of practice include HAPrI risk assessment at routine intervals. However, no HAPrI risk-prediction tools demonstrate adequate predictive validity in the ICU population. The purpose of the current study was to develop and compare models predicting HAPrIs among surgical ICU patients using electronic health record (EHR) data. Methods In this retrospective cohort study, we obtained data for patients admitted to the surgical ICU or cardiovascular surgical ICU between 2014 and 2018 via query of our institution's EHR. We developed predictive models utilizing three sets of variables: (1) variables obtained during routine care + the Braden Scale (a pressure-injury risk-assessment scale); (2) routine care only; and (3) a parsimonious set of five routine-care variables chosen based on availability from an EHR and data warehouse perspective. Aiming to select the best model for predicting HAPrIs, we split each data set into standard 80:20 train:test sets and applied five classification algorithms. We performed this process on each of the three data sets, evaluating model performance based on continuous performance on the receiver operating characteristic curve and the F1 score. Results Among 5,101 patients included in analysis, 333 (6.5%) developed a HAPrI. F1 scores of the five classification algorithms proved to be a valuable evaluation metric for model performance considering the class imbalance. Models developed with the parsimonious data set had comparable F1 scores to those developed with the larger set of predictor variables. Conclusions Results from this study show the feasibility of using EHR data for accurately predicting HAPrIs and that good performance can be found with a small group of easily accessible predictor variables. Future study is needed to test the models in an external sample.


2018 ◽  
Author(s):  
Dennar Linda ◽  
Nanpan Monday ◽  
Aderibigbe Olatubosun ◽  
Emelle Chima ◽  
Ekerendu Onyinyechi ◽  
...  

2007 ◽  
Vol 27 (5-8) ◽  
pp. 1406-1410 ◽  
Author(s):  
K. Arshak ◽  
D. Morris ◽  
A. Arshak ◽  
O. Korostynska ◽  
K. Kaneswaran

Lab on a Chip ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 3954-3961 ◽  
Author(s):  
Jang Han Choi ◽  
Tae Soup Shim

Real-time, in situ internal pressure monitoring in a microchannel is realized by a deformable colloidal crystal membrane.


Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2881 ◽  
Author(s):  
Shumi Zhao ◽  
Rong Liu ◽  
Chengwei Fei ◽  
Dong Guan

Intermittent pneumatic compression (IPC) is a proactive compression therapeutic technique in the prophylaxis of deep vein thrombosis, reduction of limb edema, and treatment of chronic venous ulcers. To appropriately detect and analyze biomechanical pressure profiles delivered by IPC in treatment, a dynamic interface pressure monitoring system was developed to visualize and quantify morphological pressure mapping in the spatial and temporal domains in real time. The system comprises matrix soft sensors, a smart IPC device, a monitoring and analysis software, and a display unit. The developed soft sensor fabricated by an advanced screen printing technology was used to detect intermitted pressure by an IPC device. The pneumatic pressure signals inside the bladders of the IPC were also transiently collected by a data acquisition system and then transmitted to the computer through Bluetooth. The experimental results reveal that the developed pressure monitoring system can perform the real-time detection of dynamic pressures by IPC and display the morphological pressure mapping multi-dimensionally. This new system provides a novel modality to assist in the effective evaluation of proactive compression therapy in practice. The study results contribute to understanding the working mechanisms of IPC and improving its functional design based on intuitive biomechanical characteristics of compression delivery profiles.


2020 ◽  
Vol 41 (Supplement_1) ◽  
pp. S243-S243
Author(s):  
Emily h Werthman

Abstract Introduction In our regional burn center, which treats approximately 800 patients annually, the prevention of pressure injuries continues to challenge the burn team. The nursing team, in particular, was demoralized by a steady prevalence rate despite utilizing evidence based practice. A comprehensive pressure injury reduction plan was developed to provide new strategies to prevent pressure injuries and to provide real time data about the effectiveness of nursing interventions. Methods A team of physicians, nurses, nutritionists, pharmacists, physical and occupational therapists developed a plan to encourage all members of the team to become active participants in pressure injury prevention. The first method was the introduction of a weekly pressure injury survey for all burn patients. This survey ensures any emerging pressure injury is recorded and appropriate interventions taken. Secondly, a new pressure mapping device was installed in all ICU beds in the burn center. The pressure mapping device provides data to nurses during patient repositioning. This important data demonstrated to nurses, in real time, if their offloading was effective. Lastly, a weekly pressure injury analysis provided root cause analysis of any pressure injuries discovered in weekly surveys. As a result, nurses were provided real time feedback about the effectiveness of prevention techniques. Results Reporting of pressure injuries increased over 50% in the first year of the program. In addition, since the inception of the weekly prevalence surveys, the burn center has not not had a pressure injury progress past a stage two. The overall prevalence of pressure injuries has dropped each quarter, Conclusions Providing nurses with real time feedback in the form of real time full body pressure mapping, weekly prevalence and pressure injury analysis allows nurses to quickly change prevention techniques to better offload patients. While pressure injury rates have decreased, nurse involvement in pressure injury prevention has increased. Applicability of Research to Practice Pressure injuries continue to pose a significant challenge to burn patients. Given the continuing emergence of pressure injuries, nurses in our burn center were left demoralized and dissatisfied with their evidence based practice. Providing nurses with real time data to support the effectiveness of their prevention techniques has dramatically changed the culture in our burn center. Nurses are now able to view real time data about their practice through pressure mapping, weekly surveys and pressure injury cause analysis. As a result, nurses are more engaged in the important work of pressure injury prevention.


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