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05 Oct 2022 (Vol 45 , Iss 08 )

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30 Sep 2022 (Vol 45 , Iss 07 )

Journal ID : TMJ-03-01-2022-10949
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Title : ANALYSIS OF FACTORS AFFECTING NURSE-PATIENT INTERACTION BASED ON THE HUMAN INTERACTION MODEL IN PREGNANT WOMEN WITH THE RISK OF PREECLAMSIA

Abstract :

Preeclampsia is one of the most common medical problems during pregnancy and the leading cause of maternal death in the world, especially in developing countries including Indonesia. Early diagnosis by recognizing the signs and symptoms of preeclampsia can prevent complications of preeclampsia. This study was conducted in Surabaya with the consideration that the prevalence of preeclampsia is increasing in this city. This study aimed to analyze the factors affecting nurse-patient interaction based on the human interaction model in Surabaya. This study used a quantitative approach with observational research and was classified as cross-sectional. The sample in this study was pregnant women, with a total of 108 respondents. The independent variables used in this study were age, gravidity, education, knowledge, disease history, access to health facilities and husband's support. Meanwhile, the dependent variable was the nurse-patient interaction. The results of the study were obtained through a questionnaire. This study used a logistic regression test which aimed to see the factors affecting the independent variables on the dependent variable. The results showed that the factors affecting the nurse-patient interaction were education (Sig=0.015, B=3.482), knowledge (Sig=0.000, B=4.255), and health facilities (Sig=0.049, B=2.802). Age, gravidity, education, knowledge and medical history (anamnesis) factors are internal factors that come from the pregnant woman herself, whereas health facilities and husband's support are external factors. Based on the results of this study, it can be concluded that nurse-patient interaction has an important role in the provision of nursing care to patients. Therefore, it is very important for pregnant women to have education, knowledge and good health facilities so that nurse-patient interactions can run optimally.

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