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Point-of-care wound visioning technology: Reproducibility and accuracy of a wound measurement app
BACKGROUND: Current wound assessment practices are lacking on several measures. For example, the most common method for measuring wound size is using a ruler, which has been demonstrated to be crude and inaccurate. An increase in periwound temperature is a classic sign of infection but skin temperat...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5560698/ https://www.ncbi.nlm.nih.gov/pubmed/28817649 http://dx.doi.org/10.1371/journal.pone.0183139 |
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author | Wang, Sheila C. Anderson, John A. E. Evans, Robyn Woo, Kevin Beland, Benjamin Sasseville, Denis Moreau, Linda |
author_facet | Wang, Sheila C. Anderson, John A. E. Evans, Robyn Woo, Kevin Beland, Benjamin Sasseville, Denis Moreau, Linda |
author_sort | Wang, Sheila C. |
collection | PubMed |
description | BACKGROUND: Current wound assessment practices are lacking on several measures. For example, the most common method for measuring wound size is using a ruler, which has been demonstrated to be crude and inaccurate. An increase in periwound temperature is a classic sign of infection but skin temperature is not always measured during wound assessments. To address this, we have developed a smartphone application that enables non-contact wound surface area and temperature measurements. Here we evaluate the inter-rater reliability and accuracy of this novel point-of-care wound assessment tool. METHODS AND FINDINGS: The wounds of 87 patients were measured using the Swift Wound app and a ruler. The skin surface temperature of 37 patients was also measured using an infrared FLIR(™) camera integrated with the Swift Wound app and using the clinically accepted reference thermometer Exergen DermaTemp 1001. Accuracy measurements were determined by assessing differences in surface area measurements of 15 plastic wounds between a digital planimeter of known accuracy and the Swift Wound app. To evaluate the impact of training on the reproducibility of the Swift Wound app measurements, three novice raters with no wound care training, measured the length, width and area of 12 plastic model wounds using the app. High inter-rater reliabilities (ICC = 0.97–1.00) and high accuracies were obtained using the Swift Wound app across raters of different levels of training in wound care. The ruler method also yielded reliable wound measurements (ICC = 0.92–0.97), albeit lower than that of the Swift Wound app. Furthermore, there was no statistical difference between the temperature differences measured using the infrared camera and the clinically tested reference thermometer. CONCLUSIONS: The Swift Wound app provides highly reliable and accurate wound measurements. The FLIR(™) infrared camera integrated into the Swift Wound app provides skin temperature readings equivalent to the clinically tested reference thermometer. Thus, the Swift Wound app has the advantage of being a non-contact, easy-to-use wound measurement tool that allows clinicians to image, measure, and track wound size and temperature from one visit to the next. In addition, this tool may also be used by patients and their caregivers for home monitoring. |
format | Online Article Text |
id | pubmed-5560698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55606982017-08-25 Point-of-care wound visioning technology: Reproducibility and accuracy of a wound measurement app Wang, Sheila C. Anderson, John A. E. Evans, Robyn Woo, Kevin Beland, Benjamin Sasseville, Denis Moreau, Linda PLoS One Research Article BACKGROUND: Current wound assessment practices are lacking on several measures. For example, the most common method for measuring wound size is using a ruler, which has been demonstrated to be crude and inaccurate. An increase in periwound temperature is a classic sign of infection but skin temperature is not always measured during wound assessments. To address this, we have developed a smartphone application that enables non-contact wound surface area and temperature measurements. Here we evaluate the inter-rater reliability and accuracy of this novel point-of-care wound assessment tool. METHODS AND FINDINGS: The wounds of 87 patients were measured using the Swift Wound app and a ruler. The skin surface temperature of 37 patients was also measured using an infrared FLIR(™) camera integrated with the Swift Wound app and using the clinically accepted reference thermometer Exergen DermaTemp 1001. Accuracy measurements were determined by assessing differences in surface area measurements of 15 plastic wounds between a digital planimeter of known accuracy and the Swift Wound app. To evaluate the impact of training on the reproducibility of the Swift Wound app measurements, three novice raters with no wound care training, measured the length, width and area of 12 plastic model wounds using the app. High inter-rater reliabilities (ICC = 0.97–1.00) and high accuracies were obtained using the Swift Wound app across raters of different levels of training in wound care. The ruler method also yielded reliable wound measurements (ICC = 0.92–0.97), albeit lower than that of the Swift Wound app. Furthermore, there was no statistical difference between the temperature differences measured using the infrared camera and the clinically tested reference thermometer. CONCLUSIONS: The Swift Wound app provides highly reliable and accurate wound measurements. The FLIR(™) infrared camera integrated into the Swift Wound app provides skin temperature readings equivalent to the clinically tested reference thermometer. Thus, the Swift Wound app has the advantage of being a non-contact, easy-to-use wound measurement tool that allows clinicians to image, measure, and track wound size and temperature from one visit to the next. In addition, this tool may also be used by patients and their caregivers for home monitoring. Public Library of Science 2017-08-17 /pmc/articles/PMC5560698/ /pubmed/28817649 http://dx.doi.org/10.1371/journal.pone.0183139 Text en © 2017 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wang, Sheila C. Anderson, John A. E. Evans, Robyn Woo, Kevin Beland, Benjamin Sasseville, Denis Moreau, Linda Point-of-care wound visioning technology: Reproducibility and accuracy of a wound measurement app |
title | Point-of-care wound visioning technology: Reproducibility and accuracy of a wound measurement app |
title_full | Point-of-care wound visioning technology: Reproducibility and accuracy of a wound measurement app |
title_fullStr | Point-of-care wound visioning technology: Reproducibility and accuracy of a wound measurement app |
title_full_unstemmed | Point-of-care wound visioning technology: Reproducibility and accuracy of a wound measurement app |
title_short | Point-of-care wound visioning technology: Reproducibility and accuracy of a wound measurement app |
title_sort | point-of-care wound visioning technology: reproducibility and accuracy of a wound measurement app |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5560698/ https://www.ncbi.nlm.nih.gov/pubmed/28817649 http://dx.doi.org/10.1371/journal.pone.0183139 |
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