THE EFFECT OF ARTIFICIAL INTELLIGENCE-BASED CHATBOT ON ENHANCING SELF-CARE PRACTICES AND PREGNANCY OUTCOMES FOR WOMEN WITH PREGNANCY-INDUCED HYPERTENSION

Abstract

Abstract Background: Recently, artificial intelligence-driven technologies, such as chatbot for women with pregnancy-induced hypertension, have been able to provide evidence-based information, personalized guidance, and support to achieve positive pregnancy outcomes. Aim: the study aimed to evaluate the effect of artificial intelligence-based chatbot on enhancing self-care practices and pregnancy outcomes for women with pregnancy-induced hypertension. Design: A quasi-experimental research design was utilized in this study. Setting: The study was conducted at the antenatal clinics of the obstetrics and gynecology hospital, Kasr Al-Aini. Sample: A purposive sample of 100 pregnant women (50 study group and 50 control group). Five tools of data collection were used: Structured interviewing questionnaire regarding general characteristics of the pregnant women and history of current pregnancy, artificial intelligence-based chatbot application tool, reported self-care practices assessment sheet, pregnancy outcomes questionnaire, and chatbot satisfaction. Result: There was a highly statistically significant improvement in all items of self-care practices regarding pregnancy-induced hypertension at post-intervention for the study group (p < 0.001) compared to the control group. In addition to, the best-fitting multiple regression model for predicting pregnancy outcomes based on women’s self-care practices, and satisfaction with the chatbot showed that both predictors had statistically significant effects and were both independently associated with enhancing positive pregnancy outcomes, and the whole model was statistically significant (F = 4.106, p < 0.05). Conclusion: The findings of the present study supported the research hypothesis that there is a positive effect of artificial intelligence-based chatbot on enhancing self-care practices and pregnancy outcomes for women with pregnancy-induced hypertension. Recommendation: Integrate an artificial intelligence-based chatbot to be an educational program in nursing protocol for pregnant women. Further study, to explore the effect of artificial intelligence-based chatbot on diverse areas such as postnatal care, gynecology, and family planning.