Factors That Influence Early Detection of Cervical Cancer: VIA Examination OMPHE (Obedient Male Partner in Health-Education and Engagement) Model

F. Ferry, R. Machmud, Soetrisno, A. Bachtiar
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Abstract

In Indonesia, cervical cancer is the second most common cancer in women after breast cancer. The low level of VIA examinations by women is due to several internal and external factors. This study determines the factors that influence the early detection of cervical cancer. The update in this research is with the high cost of Pap smear examination, a model that is more effective in detecting cervical cancer is created. The type of research used is analytic observational with cross-sectional design. The research subjects were husband and wife couples in the working area of 7 selected sub-districts in Padang City who met the inclusion criteria and were selected as research subjects. The sampling technique is multi-stage random sampling, which is sampling starting from random districts and villages. Then, at the Kelurahan level, the sample is taken by means of simple random sampling. Univariate analysis was used to obtain an overview of the frequency distribution and the percentage of each variable to be studied. Bivariate analysis was used to determine the relationship between each independent variable and the dependent variable. The results showed that there was a statistically significant relationship (p-value < 0.05) between the husband's support, knowledge, and perception of the benefits of WUS's VIA examination. However, the respondents' age, education level, wife's occupation, husband's occupation, age of marriage, perceived vulnerability, perceived seriousness, and perceived barriers did not have a significant relationship with the VIA examination by WUS.
影响癌症早期发现的因素:VIA检查OMPHE(健康教育和参与中的顺从男性伴侣)模型
在印度尼西亚,子宫颈癌症是仅次于癌症的第二大癌症。女性VIA考试水平低是由几个内部和外部因素造成的。本研究确定了影响癌症早期发现的因素。这项研究的最新进展是,由于巴氏涂片检查的成本很高,因此创建了一种更有效地检测宫颈癌症的模型。所使用的研究类型是具有横断面设计的分析观测。研究对象为巴东市7个选定街道工作区符合纳入标准并被选为研究对象的夫妻。抽样技术是多阶段随机抽样,即从随机的地区和村庄开始抽样。然后,在Kelurahan水平上,通过简单的随机抽样方式采集样本。单变量分析用于获得待研究的每个变量的频率分布和百分比的概述。双变量分析用于确定每个自变量和因变量之间的关系。结果显示,丈夫对WUS VIA考试益处的支持、知识和感知之间存在统计学显著关系(p值<0.05)。然而,受访者的年龄、教育水平、妻子的职业、丈夫的职业、结婚年龄、感知的脆弱性、感知的严重性和感知的障碍与WUS的VIA考试没有显著关系。
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