Abstract

BackgroundThere are several risk classification systems developed to facilitate diabetic foot assessments and prioritise diabetes patients for foot prevention services according to risk factors. Utilisation of both The University of Texas Diabetic Foot Risk Classification System (UTDFRCS) and The National Evidence-Based Guideline on Prevention, Identification and Management of Foot Complications in Diabetes (Part of the Guidelines on Management of Type 2 Diabetes), allows guidance for the podiatrist in terms of review timeframes for future assessments and treatment. The aim of this clinical audit was to classify Aboriginal type 2 diabetes subjects’ risk status according to UTDFRCS and identify if evidence based standards are being met for podiatry services at the Albury-Wodonga Aboriginal Health Service in New South Wales, Australia.MethodsA retrospective clinical audit over a twenty six month period was undertaken at the Albury-Wodonga Aboriginal Health Service, New South Wales. This is a primary health care facility that started podiatry services in August 2011. The primary variables of interest were the UTDFRCS for each subject and whether those participants met or did not meet the National Evidence-Based Guideline for review appointment timeframes. Other variables of interest include age, gender, duration of diabetes, occasions of visits and cancelled and failure to attend appointments to the podiatry service over the data collection period.ResultsThere was excellent overall adherence (94 %) of this sample population (n = 729) to the National Evidence-Based Guideline for podiatric review timeframes according to their risk status. Males were reported to be less likely to comply with the review timeframes compared to women. There was no association between risk status and age (OR = 1.04, p = 0.11), duration of diabetes (OR = 1.03, p = 0.71) or gender (OR = 0.77, p = 0.67).ConclusionsRegular foot examinations aid in stratifying patients according to risk status, guiding podiatry interventions to reduce the likelihood of ulceration and amputation. This primary health care setting has achieved podiatric evidence based standards for Aboriginal people with type 2 diabetes, demonstrated by acceptable timeframes for review appointments.

Highlights

  • There are several risk classification systems developed to facilitate diabetic foot assessments and prioritise diabetes patients for foot prevention services according to risk factors

  • There are several risk classification systems developed to facilitate diabetic foot assessment and prioritise diabetes patients for foot prevention services according to risk factors, such as: previous foot ulceration, peripheral neuropathy, ill-fitting footwear, and socio-economic disadvantage [6, 7]

  • The aim of this study was to explore the occasions of visits to podiatry services at the Albury-Wodonga Aboriginal Health Service (AWAHS), and compare the results to evidence-based practice on suggestions for review timeframes according to the patient’s risk status

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Summary

Introduction

There are several risk classification systems developed to facilitate diabetic foot assessments and prioritise diabetes patients for foot prevention services according to risk factors Utilisation of both The University of Texas Diabetic Foot Risk Classification System (UTDFRCS) and The National Evidence-Based Guideline on Prevention, Identification and Management of Foot Complications in Diabetes (Part of the Guidelines on Management of Type 2 Diabetes), allows guidance for the podiatrist in terms of review timeframes for future assessments and treatment. The number of Aboriginal people having a stay in hospital due to diabetic foot ulcers or lower limb amputation is higher than non-Aboriginal people, and evidence suggests that risk screening and early intervention can reduce these numbers [11] Identifying those Aboriginal people at high risk of developing diabetic foot complications is crucial in reducing the number of diabetic foot complications, and is supported with the use of tailored risk classification systems [11]

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