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Quasi-experimental study evaluates MIGYN chatbot's impact on caregiver knowledge and family support in postoperative gynecological patients, suggesting digital approaches for recovery support.
Background: Postoperative gynecological patients often experience challenges during the transition from hospital to home due to suboptimal discharge planning. Family involvement plays an important role in supporting postoperative recovery; however, caregiver support and education are frequently unstructured and inconsistent. Objective: To evaluate the effectiveness of MIGYN (Mitra Interaktif Ginekologi), a family-based interactive chatbot, in improving family support and caregiver knowledge among postoperative gynecological patients. Methods: A quasi-experimental pre–post test study was conducted involving 34 caregivers of postoperative gynecological patients at Dr. Hasan Sadikin General Hospital, Bandung. Participants were divided into intervention and control groups (n = 17 each). Family support was measured using the Family Support Scale (FSS), while caregiver knowledge was assessed using a structured questionnaire. Data were analyzed using the Wilcoxon signed-rank test and Mann–Whitney U -test. Results: Both groups demonstrated improvements in family support and caregiver knowledge following the intervention period. Within-group analysis showed significant increases in family support and caregiver knowledge scores in both groups (p < 0.05). However, between-group analysis demonstrated a statistically significant difference only in caregiver knowledge (p = 0.003), with the intervention group showing greater improvement and a moderate effect size (r = 0.51). In contrast, family support did not differ significantly between groups (p = 0.447), with a small effect size (r = 0.13). Conclusion: MIGYN was associated with significant improvements in caregiver knowledge among postoperative gynecological patients, while improvements in family support were relatively comparable between groups. These findings suggest that MIGYN may serve as a digital discharge planning approach to support caregiver education and family involvement during postoperative recovery.
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Maryati et al. (2026) studied this question.
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