June 1, 2016 Thesis Open Access

BELACHEW KAHASAY

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    <subfield code="a">THE ASSESSMENT OF KNOWLEDGE, ATTITUDE AND INTENTION TO USE CERVICAL CANCER SCREENING AND ITS COLLERATES AMONG ARMY WOMEN IN ETHIOPIA</subfield>
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    <subfield code="a">&lt;p&gt;Background: Cervical cancer is a global public health problem &amp;amp; it is the 4th leading cause cancer&lt;br&gt;
morbidity and mortality. Almost 70% of the global burden failed in developing counties. In Ethiopia&lt;br&gt;
cervical cancer is the 2nd leading cause of cancer mortality. Cervical cancer screening is effective&lt;br&gt;
prevention method can avert &amp;gt;80% morbidity and mortality. However, globally a billion of women&lt;br&gt;
missed this opportunity. Poor utilization of cervical cancer screening was the prominent problem in&lt;br&gt;
developing countries. In Ethiopia cervical cancer screening coverage was 0.6%. Low level of knowledge,&lt;br&gt;
negative attitude and low intention towards cervical cancer screening were among many obstacles that&lt;br&gt;
hider the successfulness of cervical cancer screening on which this study aimed.&lt;br&gt;
Objectives: This study were measure level of knowledge, determine attitude, assess intention to use&lt;br&gt;
cervical cancer screening and identify correlates of intention among army women of Ethiopia.&lt;br&gt;
Methods: A cross sectional study design was used to assess knowledge, attitude, intention towards&lt;br&gt;
cervical cancer screening and its correlates among army women of Ethiopia on April, 2016. Twenty one&lt;br&gt;
posts were included in this study. Single population proportion formula was used to determine the&lt;br&gt;
sample size &amp;amp; a total of 423 samples were taken. Simple random sampling technique was used to select&lt;br&gt;
study participants. A self administered questionnaire was used to collect the data. Data was entered to&lt;br&gt;
EPI-info -7 &amp;amp; exported into STATA-12 for analysis. Bi-varate analysis was done to find out crude&lt;br&gt;
association between independent &amp;amp; outcome variable. Finally logistic regression analysis was carried&lt;br&gt;
out for those variables had association at &amp;lt;0.05 level of significance at bi-variate analysis.&lt;/p&gt;</subfield>
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