Telerehabilitation for Pressure Injury

2022 ◽  
pp. 163-178
Author(s):  
Ingebjørg Irgens
Keyword(s):  
2019 ◽  
pp. 21-26 ◽  
Author(s):  
Monica Stankiewicz ◽  
Jodie Gordon ◽  
Joel Dulhunty ◽  
Wendy Brown ◽  
Hamish Pollock ◽  
...  

Objective Patients in the intensive care unit (ICU) have increased risk of pressure injury (PI) development due to critical illness. This study compared two silicone dressings used in the Australian ICU setting for sacral PI prevention. Design A cluster-controlled clinical trial of two sacral dressings with four alternating periods of three months' duration. Setting A 10-bed general adult ICU in outer-metropolitan Brisbane, Queensland, Australia. Participants Adult participants who did not have a sacral PI present on ICU admission and were able to have a dressing applied for more than 24 hours without repeated dislodgement or soiling in a 24-hour period (>3 times). Interventions Dressing 1 (Allevyn Gentle Border Sacrum™, Smith & Nephew) and Dressing 2 (Mepilex Border Sacrum™, Mölnlycke). Main outcomes measures The primary outcome was the incidence of a new sacral PI (stage 1 or greater) per 100 dressing days in the ICU. Secondary outcomes were the mean number of dressings per patient, the cost difference of dressings to prevent a sacral PI and product integrity. Results There was no difference in the incidence of a new sacral PI (0.44 per 100 dressing days for both products, p = 1.00), the mean number of dressings per patient per day (0.50 for both products, p = 0.51) and product integrity (85% for Dressing 1 and 84% for Dressing 2, p = 0.69). There was a dressing cost difference per patient (A$10.29 for Dressing 1 and A$28.84 for Dressing 2, p < 0.001). Conclusions Similar efficacy, product use and product integrity, but differential cost, were observed for two prophylactic silicone dressings in the prevention of PIs in the intensive care patient. We recommend the use of sacral prophylactic dressings for at-risk patients, with the choice of product based on ease of application, clinician preference and overall cost-effectiveness of the dressing.


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.


2019 ◽  
Vol 41 (3) ◽  
pp. 180-187 ◽  
Author(s):  
Shea Polancich ◽  
Jason Williamson ◽  
Terri Poe ◽  
Amy Armstrong ◽  
Ross M. Vander Noot

2018 ◽  
Vol 25 (4) ◽  
pp. 409-414 ◽  
Author(s):  
Debra E Jackson ◽  
Lisa A Durrant ◽  
Marie Hutchinson ◽  
Charlotte A Ballard ◽  
Stephen Neville ◽  
...  
Keyword(s):  

2016 ◽  
Vol 24 (6) ◽  
pp. 1081-1088 ◽  
Author(s):  
Jeremy S. Honaker ◽  
Michael R. Forston ◽  
Emily A. Davis ◽  
Michelle M. Weisner ◽  
Jennifer A. Morgan ◽  
...  

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