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Effectiveness of a Multicenter Training Programme to Teach Point-of-care Vascular Ultrasound for the Detection of Peripheral Arterial Disease in People with Diabetes

Overview
Publisher Wiley
Specialty Orthopedics
Date 2018 Jul 21
PMID 30026813
Citations 2
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Abstract

Background: The primary aim of this study was to evaluate the effectiveness of a training programme to teach a focused bedside ultrasound scan (PAD-scan; Podiatry Ankle Duplex Scan) for the detection of arterial disease in people with diabetes.

Methods: Five podiatrists and one diabetologist across two hospitals were enrolled in a structured training programme consisting of a training course (1-day), supervised scanning (5-weeks), independent scanning (3-weeks) and a final evaluation of performance (1-day).Time, technical skills and accuracy (level of agreement with vascular scientist PAD-scan assessment) were assessed for every supervised scan and again for the final evaluation of performance.

Results: A total of 90 PAD-scans in 65 patients were performed during the supervised phase. Participants demonstrated significant improvements in median time vs and DUOSATS scores vs . At the final evaluation, participants completed scans in 5.4 min (IQR 5.3-5.9), achieved full DUOSAT scores and perfect agreement with the vascular scientist.

Conclusion: A structured training programme, integrated into diabetic foot clinics, was effective in teaching the PAD-scan.

Citing Articles

Arterial spectral waveform analysis in the prediction of diabetic foot ulcer healing.

Normahani P, Agrawal R, Sounderajah V, Tsinaslanidis P, Musonda P, Mehar Z Perfusion. 2020; 36(7):751-756.

PMID: 32957822 PMC: 8446888. DOI: 10.1177/0267659120957849.


Study protocol for a comparative diagnostic accuracy study of bedside tests used to detect arterial disease in diabetes: TEsting for Arterial disease in Diabetes (TrEAD) study.

Normahani P, Poushpas S, Alaa M, Bravis V, Aslam M, Jaffer U BMJ Open. 2020; 10(2):e033753.

PMID: 32029491 PMC: 7044995. DOI: 10.1136/bmjopen-2019-033753.

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