Naomi Jonathan
National University Hospital, Singapore
Posters & Accepted Abstracts: J Nurs Care
Background: The number of lower extremity amputations in Singapore is alarmingly high. With an average of four amputations being done daily, patients with diabetic foot ulcer are suffering from major complications which bring the mortality rate to 22% in a year (National Healthcare Group (NHS), 2016). Furthermore, 20% of the adult patients were diagnosed with diabetes below the age of 40 years-old, increasing their risk of disease burden and their quality of life. Among the patients who are suffering from diabetic foot ulcer, 85% of them go through lower extremity amputation (NHS, 2016). Aim: This study aims to determine if honey-impregnated dressing is more effective than conventional dressing in treating patients with diabetic foot ulcers in Singapore. By finding out the most effective dressing for patients with diabetic foot ulcer, lower extremity amputations can be reduced ultimately. Method: Randomized Controlled Trial (RCT) will be utilized for this paper as it allows researchers to compare the effectiveness between the intervention and control while keeping the other variables equal. Target Participants: Adult patients of 21 years old and above having Wagner grade one to three diabetic foot ulcer. Sample: A stratified random sampling will be used for the recruitment of participants at the wards and clinic. After an assessment, participants will be stratified according to their wound classification before being computer randomized into intervention or control group. Data Collection: Participants will be treated with honey-impregnated dressing or iodine dressing for their diabetic foot ulcer. When a dressing is due for change, wound chart measuring the dimensions and characteristics of the wound together with patient�s verbal pain score would be collected as main sources of data collection. Data Analysis: Data will be analyzed using independent T-test which will be entered into a statistical analysis tool called IBM SPSS.
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