Benha University

Rehab Elsayed Mohamed

Asst. Professor

Faculty of Nursing Psychiatric Nursing

Effectiveness of a nurse-facilitated artificial intelligence chatbot on psychological well-being and mental health stigma among patients with psychiatric disorders: A quasi-experimental study

• 2025
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Publication Information
Authors Eman A. Shokr 1,2, Hasan Abualruz 3, Mohammad Faisal Al Ali 4, Loai M. Zabin 5,6 *, Manal Mohamed Abdelhamid Ali 7,8, Shimaa Mohammed Hassan Ali 9, Sabreen Alremawe 10, Rehab Elsayed Mohamed 11
Keywords artificial intelligence; chatbot; mental health nursing; mental health stigma; psychiatric disorders; psychological well-being
Journal Not Available
Publisher Rehab Elsayed Mohamed
Volume Not Available
Issue Not Available
Pages Not Available
publication.type Local
Paper Link Not Available
Supplementary Materials Rehab Elsayed Mohamed_paper5.pdf
Abstract
Introduction: Mental health stigma and reduced psychological well-being are important recovery-related concerns among people living with serious mental illness. Nurse-facilitated digital psychoeducation may provide a private and accessible adjunct to psychiatric nursing care.
Aim: To examine whether an eight-week nurse-facilitated artificial intelligence chatbot program (NurseBot) was associated with favorable changes in psychological well-being and perceived stigma categories among adults with schizophrenia, depression, or bipolar disorder.
Method: A quasi-experimental two-group pre-test/post-test design was used with 72 psychiatric service users in Egypt. Participants were allocated to an intervention group (n = 36) or a control group (n = 36). The intervention group used NurseBot for three 15–20-minute sessions weekly for eight weeks, while the control group received standard psychiatric care. The primary outcome was improvement in the overall psychological well-being category, and the secondary outcome was improvement in the perceived stigma category. Between-group differences in ordinal change were examined using the Mann-Whitney U test, with rank-biserial correlation as the effect size.
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