الفهرس 
Effect of Diabetic Foot Care Training Program for Family Caregivers on Diabetic’s Outcome
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Abstract
Diabetic foot (DF) is the most serious complication of diabetes mellitus associated with major morbidity, mortality, and reduced quality of life. The most common cause of hospital related admissions and is responsible for (70%) of all lower limb amputations. It presently affects (15-25%) of all diabetic patients during their lifetime. The study aimed to assess the effect of diabetic foot care training program on family caregiver’s knowledge and practice and diabetic’s outcome. A quasi – experimental one group pretest- posttest design was utilized. Sample: A non-probabilityconsecutive sample of 134 family caregivers was selected. Setting: The study was conducted at the diabetic out-patient clinic, at the National Institute of Diabetes and Endocrinology. Three tools were used: a- Family Caregiver’s Structured Interviewing Questionnaire, b- Family Caregiver’sPractices Observational Checklist, c- Site, ischemia, neuropathy, bacterial infection, area, and depth (SINBAD) Classification Observational Checklist. Results: The mean age of the family caregivers who participated in the study was (29.7 ± 6.1) years, 78.4%of them had poor knowledge and (90.2%) of them had unsatisfactory practice regarding diabetic foot care before implementation of the training program. (47.8%) of the diabetic patients had less severe ulcers in the follow-up posttest compared to (52.2%) of them who had severe ulcers in the pretest. However, in the follow-up posttest, the percentage of having severe ulcers decreased to (47.8%).Study concluded that an improvement in knowledge and practice mean scores in immediate and follow-up post-tests compared to pre-test mean scores. As well, statistically significant relationship was found between total knowledge and total practice scores in pre, immediate and follow-up tests (p=0.0001, p=0.0001 &p=0.05). Recommendations: It is recommended to replicate the research on a large sample and in different settings to achieve more generalization