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Decision trees for risk stratification of the diabetic foot
Örebro University, School of Medical Sciences. Örebro University Hospital. Department of Prosthetics and Orthotics, Faculty of Medicine and Health, Örebro University, Örebro, Sweden; University Health Care Research Center, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.ORCID iD: 0000-0002-6410-2474
2018 (English)In: The Diabetic foot journal, ISSN 1462-2041, Vol. 21, no 4, p. 218-223Article in journal (Refereed) Published
Abstract [en]

Delays in referral from primary to specialist care are a common issue in the clinical management of diabetic foot (DF) disease and are associated with worse clinical outcomes. One of the reasons for the delays may be the complexity of risk stratification, which can leave clinicians who are not specialised in the DF uncertain about when to refer patients for specialist assessment. This article illustrates how risk stratification can be simplified with the use of decision trees. Two decision trees are given as examples: one based on the risk stratification system of the Scottish Diabetes Foot Action Group and one based on the National Institute for Health and Care Excellence guideline. Decision trees can be used to facilitate correct risk stratifications and the referral of people with DF complications, and thereby hopefully contribute to improved outcomes for people with DF disease.

Place, publisher, year, edition, pages
S B Communications Group , 2018. Vol. 21, no 4, p. 218-223
Keywords [en]
Algorithms, Decision trees, Delays in care, Diabetic foot, Risk stratification
National Category
Endocrinology and Diabetes
Identifiers
URN: urn:nbn:se:oru:diva-73675OAI: oai:DiVA.org:oru-73675DiVA, id: diva2:1304415
Available from: 2019-04-12 Created: 2019-04-12 Last updated: 2022-10-11Bibliographically approved

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Jarl, Gustav

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Citation style
  • apa
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  • de-DE
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  • Other locale
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Output format
  • html
  • text
  • asciidoc
  • rtf