Fig 1.
Left: Example of tracking changes in wound size over time using the Swift Wound app. Right: Example of the touch screen interface for measuring the area of a wound using the Swift Wound app. The green region represents the projected surface area of the wound. The dark blue line represents the maximum length, here at a pre-set orientation. The light blue line represents the maximum width perpendicular to length. The blue region represents undermining and the yellow dashed lines represent locations and extent of tunneling. Fig 1 was reprinted from www.swiftmedical.io under a CC BY license, with permission from Swift Medical Inc., original copyright 2015.
Table 1.
Inter-rater reliability of measurements of wounds using the Swift Wound app and the ruler.
Fig 2.
Inter-rater reliabilities between length, width and surface area measurements using the Swift Wound app (ICCs = 0.98. 0.97 and 1.00 respectively).
Fig 3.
Inter-rater reliabilities between length and width using the ruler method (ICCs– 0.92 and 0.97 respectively).
Note that eliminating case 11 changes the ICC for length from 0.92 to 0.95, CI (0.92-.097), eliminating this case did not change the ICC estimate for width: 0.97, CI (0.94–0.98).
Fig 4.
Interrater reliabilities for length, width and surface area using the Swift Wound app by non-experts (ICC = 0.99, 0.99 and 0.99 respectively).
Fig 5.
Accuracy of the Swift Wound app.
Planimeter area measurements predicting Swift Wound app area measurements for 15 photos of plastic wound shapes. The dashed line represents the line of unity (i.e. a perfect fit). Points represent the average across three measures ± 95% CI.
Fig 6.
Example of an infrared image of an ulcer on the medial malleolus, taken using the Swift Wound app and a FLIR™ infrared camera.
Left: Infrared image displaying heat distribution around a venous ulcer on the medial malleolus with a temperature scale. Right: Corresponding white light photograph of the ulcer.