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

NCT07848022 | Completed

• 1 other identifier: AlZaytoonahU
• Study Type: interventional
• Target: 72
• Locations: 1 country
• Sites: 1

Brief Summary

This quasi-experimental study aims to evaluate the effectiveness of a nurse-facilitated artificial intelligence (AI) chatbot in improving psychological well-being and reducing mental health stigma among patients with psychiatric disorders. Participants will receive support through an AI chatbot supervised by trained psychiatric nurses. The chatbot will provide mental health education, emotional support, coping strategies, and guidance for self-management. Outcomes will include changes in psychological well-being and levels of mental health stigma before and after the intervention. The findings may help determine whether AI-assisted nursing interventions can enhance mental health care and support recovery among individuals with psychiatric disorders.

Conditions

Mental Health and Psychological Well-Being

Keywords

Artificial Intelligence Chatbot AI Mental Health Intervention Nurse-Facilitated Intervention Psychological Well-Being Mental Health Stigma

Outcome Measures

Primary Outcomes (1)

• Psychological Well-being

  Change in psychological well-being scores among patients with psychiatric disorders following participation in the nurse-facilitated artificial intelligence chatbot intervention.

  Baseline (pre-intervention) and 2 weeks post-intervention Baseline (pre-intervention) and 4 weeks post-intervention Baseline (pre-intervention) and 3 months post-intervention

Study Arms (2)

Usual Care Control Group

NO INTERVENTION

Participants receive the standard psychiatric care routinely provided by the healthcare facility, including regular psychiatric consultations, prescribed treatment, and follow-up services. Participants in this arm do not receive access to the nurse-facilitated artificial intelligence chatbot during the study period. Outcome measures are assessed at the same time points as the intervention group for comparison purposes.

Nurse-Facilitated AI Chatbot Intervention

EXPERIMENTAL

Participants receive the standard psychiatric care routinely provided by the healthcare facility, including regular psychiatric consultations, prescribed treatment, and follow-up services. Participants in this arm do not receive access to the nurse-facilitated artificial intelligence chatbot during the study period. Outcome measures are assessed at the same time points as the intervention group for comparison purposes.

Behavioral: Nurse-Facilitated Artificial Intelligence Chatbot

Interventions

Nurse-Facilitated Artificial Intelligence Chatbot BEHAVIORAL

A nurse-facilitated artificial intelligence chatbot designed to provide psychoeducational information, emotional support, coping strategies, and mental health guidance for patients with psychiatric disorders. The chatbot is supervised by psychiatric nurses and aims to improve psychological well-being and reduce mental health stigma.

Nurse-Facilitated AI Chatbot Intervention

Eligibility Criteria

• Age: 18 Months - 65 Months
• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17)

You may qualify if:

• Able to read and communicate in Arabic. Possess a smartphone or device with internet access to use the AI chatbot. Willing to participate and provide informed consent.

Sponsors & Collaborators

• Al-Zaytoonah University of Jordan: lead

Study Sites (1)

Eman Shokr

Amman, Jordan

Location

Related Publications (1)

• 16. Ryff C. D. (2014). Psychological well-being revisited: advances in the science and practice of eudaimonia. Psychotherapy and psychosomatics, 83(1), 10-28. https://doi.org/10.1159/000353263. 17. Yasuhara, K., Formon, D. L., Phillips, S. & Yenne, E. M. Mental health stigma scale [Database record]. APA PsycTests (2019). https://doi.org/10.1037/t76798-000 18. Andersen, S. M., Randers, A., Jensen, C. M., Bisgaard, C., & Steinhausen, H. C. (2013). Preceding diagnoses to young adult bipolar disorder and schizophrenia in a nationwide study. BMC psychiatry, 13, 343. https://doi.org/10.1186/1471-244X-13-343 19. McKenzie, S. K., Oliffe, J. L., Black, A., & Collings, S. (2022). Men's Experiences of Mental Illness Stigma Across the Lifespan: A Scoping Review. American journal of men's health, 16(1), 15579883221074789. https://doi.org/10.1177/15579883221074789 20. Kirkbride, J. B., Anglin, D. M., Colman, I., Dykxhoorn, J., Jones, P. B., Patalay, P., Pitman, A., Soneson, E., Steare, T., Wright, T., & Griffiths, S. L. (2024). The social determinants of mental health and disorder: evidence, prevention and recommendations. World psychiatry: official journal of the World Psychiatric Association (WPA), 23(1), 58-90. https://doi.org/10.1002/wps.21160 21. Waqas, A., Malik, S., Fida, A., Abbas, N., Mian, N., Miryala, S., Amray, A. N., Shah, Z., & Naveed, S. (2020). Interventions to Reduce Stigma Related to Mental Illnesses in Educational Institutes: a Systematic Review. The Psychiatric quarterly, 91(3), 887-903. https://doi.org/10.1007/s11126-020-09751-4

  RESULT

MeSH Terms

Conditions

Psychological Well-Being

Condition Hierarchy (Ancestors)

Personal Satisfaction; Behavior

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NON RANDOMIZED
• Masking: SINGLE
• Who Masked: PARTICIPANT
• Masking Details: This study is open-label; both participants and investigators are aware of the intervention assignment.
• Purpose: PREVENTION
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate professor

Model Details: This is a quasi-experimental, nonrandomized study evaluating the effect of a nurse-facilitated AI chatbot intervention on psychological well-being and mental health stigma among patients with psychiatric disorders.

Study Record Dates

• First Submitted: July 31, 2026
• First Posted: September 29, 2026
• Study Start: January 11, 2023
• Primary Completion: April 11, 2023
• Study Completion: May 12, 2024
• Last Updated: September 29, 2026

Record last verified: 2026-09

Data Sharing

• IPD Sharing: Will share
• Shared Documents: STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
• Time Frame: De-identified individual participant data (IPD) and supporting study documents will be made available beginning 6 months after publication of the primary study results and will remain available for up to 5 years.

Locations

JO (1)