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The Difference in Wound Size Reduction Comparing Two Frequently Used Wound Dressings in Everyday Care

School of Health Sciences Geneva · 2018
ClinicalTrials.gov · Datasets · License: Public Domain · 2018
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Chronic wounds (CW) such as leg or foot ulcers are slow healing wounds. They have a high recurrence rate and are associated with pain, infection, smell and exudate. The signs and symptoms of a chronic wounds are not only a burden on those who are affected by it but also on the health care system and society in general. With a prevalence of 1% in the general population, the prevalence rises to 3% in the over 80-age group. Current therapeutic approaches are multifaceted and focus on improving wound healing and preventing recurrences. Advanced wound dressings, especially super absorbent dressings are an important part of the wound care. Heavy wound exudate, if unabsorbed, may damage surrounding healthy skin and thus delay wound healing and contribute to maceration and excoriation regimen as CW may deliver excessive amounts of exudate followed by maldour. Maldodourous wounds can have a profoundly negative impact on the quality of life of the patient and of their carers causing feelings of guilt repulsion and leading to social isolation and depression. Therefore, it is important to use effective advanced wound dressings that are capable of managing wound exudate and with that promote wound healing. Currently the standard approches to managing exudate and wound odour are the use of hydrocellular foam dressing with silver or absorbent dressings like of a sterile polyacrylate wound pad with activated carbon cloth treatment. However, there is no evidence demonstrating whether there is adifference in wound size as an indicator of wound healing when comparing the application of a sterile polyacrylate wound pad with activated carbon clothtreatment to a standard non-adhesive hydrocellular foam dressing with silver treatment in a randomised controlled trail. A randomized controlled trail with 90 participants in one wound care outpatient clinic is proposed. Data will be analysed using SPSS version 23. Univariate and bivariate analysis will be conducted according to the data leve
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