Human interaction model analysis of factors influencing nurse-patient interaction in pregnancies at risk for preeclampsia

Abstract

Introduction: Preeclampsia is one of the most typical perinatal illnesses and the main factor in maternal deaths globally, particularly in underdeveloped nations like Indonesia. Preeclampsia consequences can be avoided by obtaining an early diagnosis by being aware of the condition's warning signs and symptoms. Based on the Surabaya human interaction model, this study sought to examine the variables influencing nurse-patient contact. Methods: This cross-sectional study employed a quantitative methodology with observational research. With 108 responders, pregnant women made up the study's sample. Age, gravidity, education, knowledge, disease history, access to medical services, and husband support were the independent factors considered in this study. The interaction between the nurse and the patient served as the dependent variable. Through the use of a questionnaire, the study's findings were gathered. To determine the influences of the independent variables on the dependent variable in this study, a logistic regression test was performed. The analysis was done with SPSS version 25. Results: The findings indicated that education (p-value=0.015, B=3.482), knowledge (p-value0.001, B=4.255), and health facilities (p-value=0.049, B=2.802) were the factors influencing nurse-patient contact. Health facilities and the support of the husband are external determinants, but age, gravidity, education, knowledge, and medical history (anamnesis) are internal elements that originate from the pregnant woman herself. Conclusion: The connection between nurses and patients is crucial to the delivery of nursing care to patients. Therefore, for nurse-patient interactions to be as effective as possible, pregnant women need to have access to education, knowledge, and good healthcare facilities.