School KAP on BC and BSE-Dr Josphine Nsaful.xlsx

A pre- post-test quasi experimental study was conducted at two selected senior high schools. All consenting female students filled out a self-administered pre-educational questionnaire (pre-test). The questionnaire consisted of 21 multiple choice and true/false style questions. This covered 4 main domains on breast cancer, namely 5 questions to assess basic knowledge, 7 questions on features (signs and symptoms), 6 questions on risk factors and 3 questions on the knowledge of breast self-examination. Two additional non-domain questions were asked on respondents’ practice of breast self-examination. Next, an educational intervention was applied. After 3 months the same questionnaire was administered as a post-test to assess the impact of the educational intervention. The questionnaires for the pre- and post-test were not paired on the same individual. Each correct answer was scored 1 point and each incorrect answer or non-response a zero. <br> <strong>Statistical analysis</strong> Each of the questions in the four domains on basic knowledge of breast cancer, features of breast cancer, risk factors of breast cancer and knowledge and practise of breast self-examination was equitably scored. Each correct answer was scored one (1) point and each incorrect answer or non-response a zero. The score for each domain was calculated by summing the score of all the questions in that domain and it ranged from 0-5 for domain I, 0-7 for domain II, 0-6 for domain III and 0-3 for domain IV. The total score for each domain was categorised into adequate knowledge &gt;50% and inadequate knowledge &lt;50%. A Chi-square test of proportion was used to test differences in knowledge, attitude and practice of breast cancer and breast self-examination between pre-education and post-education for each question in a domain and for domain total. The overall score was calculated by summing all the scores for domain I-IV. Continuous variables were summarised as means and standard deviations (SD), and categorical variables as count and percentages. Stata 14.0® was used for the statistical analysis and p&lt;0.05 was considered statistically significant.