A digital assessment and documentation tool evaluated for daily podiatric wound practice.

INTRODUCTION Foot ulcers are a common complication of diabetes. Regular screening of patients with ulcers enables better treatment and reduces the number of amputations. The lack of wound specialists, especially in nonurban areas, drove the development of an IT-based system for analyzing wounds, the Wound Healing Analyzing Tool (WHAT). Digital images are scored and documented using software that runs on a laptop computer. The aim of this study was to evaluate WHAT's use in daily podiatry practice. METHODS Eighteen ambulant patients presenting with diabetic foot ulcers at the participating podiatric clinic were recruited to the study. Digital ulcer images were obtained. To measure size and assess wound bed condition, the evaluated software recognizes the square mark, which is printed on a sticker and placed next to the ulcer. A trained, blinded physician assessed the same digital images and results were compared. RESULTS Fifteen of the 18 results obtained with the digital tool for ulcer area and wound bed condition were in line with the visual assessment conducted by the blinded physician. Eighty-seven percent of the images were correctly scored, with the main problem being a missing or partially visible square mark in the photograph (n = 3/18). CONCLUSION The results indicate that WHAT showed sufficient accuracy to be considered for use in clinical settings for determination of wound area and wound bed characteristics. The tool also seems to be an attractive option for digital consulting.

[1]  Thomas Wild,et al.  How precise is the evaluation of chronic wounds by health care professionals? , 2007, International wound journal.

[2]  Janez Mozina,et al.  Measurement of venous leg ulcers with a laser‐based three‐dimensional method: Comparison to computer planimetry with photography , 2007, Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society.

[3]  W. Rathmann,et al.  Mortality in Diabetic Patients with Cardiovascular Autonomic Neuropathy , 1993, Diabetic medicine : a journal of the British Diabetic Association.

[4]  Robert J. Taylor,et al.  The calculation of linear dimension and image area using a digitising tablet and personal computer , 1995, International journal of clinical monitoring and computing.

[5]  J. Giurini,et al.  Percent change in wound area of diabetic foot ulcers over a 4-week period is a robust predictor of complete healing in a 12-week prospective trial. , 2003, Plastic and reconstructive surgery.

[6]  T. Wild,et al.  Eradication of Methicillin-Resistant Staphylococcus aureus in Pressure Ulcers Comparing a Polyhexanide-Containing Cellulose Dressing with Polyhexanide Swabs in a Prospective Randomized Study , 2012, Advances in skin & wound care.

[7]  N D Harris,et al.  Digital imaging: an accurate and easy method of measuring foot ulcers , 1999, Diabetic medicine : a journal of the British Diabetic Association.

[8]  R. Klein,et al.  Onset of NIDDM occurs at Least 4–7 yr Before Clinical Diagnosis , 1992, Diabetes Care.

[9]  J. Griffiths,et al.  The North‐West Diabetes Foot Care Study: incidence of, and risk factors for, new diabetic foot ulceration in a community‐based patient cohort , 2002, Diabetic medicine : a journal of the British Diabetic Association.

[10]  T. Wild,et al.  Wound cleansing efficacy of two cellulose-based dressings , 2010 .

[11]  R. Taylor Mouseyes revisited: upgrading a computer program that aids wound measurement. , 2002, Journal of wound care.

[12]  L. Campbell,et al.  The lower limb in people with diabetes Position statement of the Australian Diabetes Society , 2000, The Medical journal of Australia.

[13]  D G Smith,et al.  A prospective study of risk factors for diabetic foot ulcer. The Seattle Diabetic Foot Study. , 1999, Diabetes care.

[14]  W. Westerhof,et al.  Image processing in the study of wound healing. , 1995, Clinics in dermatology.

[15]  Herbert F. Jelinek,et al.  The ankle–brachial index in clinical decision making , 2006 .

[16]  Marco Romanelli,et al.  Technological advances in wound bed measurements , 2002 .

[17]  W. Krois,et al.  Digital measurement and analysis of wounds based on colour segmentation , 2008, European Surgery.