Abstract
Heart disease is responsible for more deaths and disability among both males and females than any other killer and it is quickly establishing itself as the leading cause of death and disability. Furthermore, the incidence of heart disease is spreading worldwide. Asian countries adopt a more sedentary Westernized lifestyle, together with a high fat, high salt diet and processed foods that have come to be associated with technological offence, researchers are noticing that Western diseases are becoming more prevalent causes of death in Asia. Objectives: To assess pretest knowledge regarding lifestyle modification for the prevention of myocardial infarction to evaluate cardiac patients' posttest knowledge of lifestyle modifications to prevent myocardial infarction by administering a structured teaching program to them. To assess the effectiveness of a structured teaching programme by comparing pre and post-test scores to see if there is a correlation between certain demographic characteristics of cardiac patients and knowledge. Results: Among 60 patients 47 (78.3%) had inadequate knowledge, 13 (21.7%) had moderately adequate knowledge and 0(0%) had adequate knowledge in the pre-test. Among 60 patients 0(0%) had inadequate knowledge, 7(11.7%) had moderate adequate knowledge and 53(88.3%) had adequate knowledge in the post-test. Among 60 patients 52 (86.7%) had poor practice,8 (13.3%) had average practice and 0(0%) had a good level of practice in the pre-test. Among 60 clients 0(0%) had poor practice, 2(3.3%) had average practice and 58 (96.7%) had good practice levels in the post-test. In the pre-test, the mean value is 10.28 with a standard deviation of 6.31 and the mean percentage is 34.6%. In the post-test, the mean value is 24.40 with a standard deviation of 4.02 and the mean percentage is 81.3%. The calculated value t=18.7241 is the tabulated value at the level of t59=2.000. The calculated value is more than the tabulated value. The post-test value is greater than the pre-test value hence there is a high significance of improvement of knowledge levels in the post-test. In the pre-test, the mean value is 3.77 with a standard deviation of 1.88 and the mean percentage is 37.7% in post-test the mean value is 8.13 with a standard deviation of 1.08 and the mean percentage is 81.3%. The calculated value t= 12.5887 at the level t59 the tabulated value is 2.000 hence, the calculated value is more than the tabulated value. The post-test mean score is higher than the pre-test value so there is a high significance in post-practice levels.
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