@article{Muhith_Winarti_Perdana_Haryuni_Rahayu_Mallongi_2020, title={Internal Locus of Control as a Driving Factor of Early Detaction Behavior of Servical Cancer by Inspection Visual of Acetic Acid Method}, volume={8}, url={https://oamjms.eu/index.php/mjms/article/view/4341}, DOI={10.3889/oamjms.2020.4341}, abstractNote={<p><strong>BACKGROUND: </strong>Cervical cancer is one of the main reproductive health problems, and it is a cause of death to women in the world, especially in developing countries like Indonesia. Inspection visual of acetic acid (IVA) is an inexpensive and effective initial examination to detect cervical cancer.</p> <p><strong>AIM: </strong>The aim of the study was to find out the correlation of the locus of control and the behavior of early detection of cervical cancer by the IVA method.</p> <p><strong>METHODS: </strong>The research design was a cross-sectional study. The sample of the study was 393 respondents. The sampling technique was multi-stage random sampling, conducted at nine community health centers (Puskesmas) in Kediri City. The instruments used in the study were a questionnaire that had been tested for its validity and reliability for locus of control, and observation sheets for the early detection of cervical cancer by the IVA method. The data analysis technique used is the Spearman rho test with a value of α = 0.05.</p> <p><strong>RESULTS: </strong>Spearman rho test results obtained a significance value of 0.000 lower than that of α = 0.05, meaning there was a significant correlation between the locus of control variable and behavior of early detection of cervical cancer by IVA method.</p> <p><strong>CONCLUSION: </strong>The conclusion was that there was a significant correlation between the locus of control variable and the early detection behavior of cervical cancer by the IVA method. The higher the internal locus of control in a woman, the better the behavior of early detection of cervical cancer by the IVA method.</p>}, number={E}, journal={Open Access Macedonian Journal of Medical Sciences}, author={Muhith, Abdul and Winarti, Eko and Perdana, S. S. Idola and Haryuni, Sri and Rahayu, Kun Ika Nur and Mallongi, Anwar}, year={2020}, month={Apr.}, pages={113–116} }