Objectives: The study aims to evaluate patients’ performance toward insulin injection after training program to
identify the variation in skill of patients in insulin injection technique with regard to some variable (i.e.
educational level and duration of insulin injection.
Methodology: A quasi experimental study has been conducted on diabetic patients.
An observational checklist had been prepared which consisted of 4 main areas with 37 sub-items, which are
syringe preparation for injection, insulin drawing; skin preparation for injection and insulin injection. Each of the
sub-items has 2 options yes or no. One score for positive answer and zero for no.
The sample of the study consisted of (n =30) males and females patients with Type 1 diabetes mellitus, who
were chosen randomly from AL-Wafa’a center for diabetic treatment in Mosul-Iraq during Dec. 2003.
Results: The results of the study showed that the skills performance of insulin injection was statistically
different in pre from post-test (49.37%, 76.67%) respectively by using X ), the result showed significant
difference at (P<0.05) level (2221.625), no significant difference between skill performance and the level of
education, while significant difference appears at P 0.01 between duration of insulin injection and skill
performance. The training programme has a positive effect on the skills of diabetic patients type 1 utilizing
insulin injection technique.
In this paper three techniques for image compression are implemented. The proposed techniques consist of three dimension (3-D) two level discrete wavelet transform (DWT), 3-D two level discrete multi-wavelet transform (DMWT) and 3-D two level hybrid (wavelet-multiwavelet transform) technique. Daubechies and Haar are used in discrete wavelet transform and Critically Sampled preprocessing is used in discrete multi-wavelet transform. The aim is to maintain to increase the compression ratio (CR) with respect to increase the level of the transformation in case of 3-D transformation, so, the compression ratio is measured for each level. To get a good compression, the image data properties, were measured, such as, image entropy (He), percent root-
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