ChatGPT: A Pilot Study on a Promising Tool for Mental Health Support in Psychiatric Inpatient Care
Open accessAbstract
Introduction: This pilot study assesses ChatGPT’s effectiveness as an artificial intelligence (AI) chatbot in psychiatric inpatient care. Global mental health challenges highlight a significant treatment gap, mainly due to restricted service access and mental health professional shortages. AI chatbots like ChatGPT offer innovative solutions, providing services such as self-help advice, coaching, psychoeducation, and emotional support. Methods: This study involved a group of patients receiving psychiatric inpatient care. The intervention group engaged in 3-6 ChatGPT sessions under guided prompts, while the control group received standard care. The primary outcome was based on World Health Organization Quality of Life Questionnaire – Brief Version (WHOQOL-BREF) scores, and the secondary outcome assessed patient satisfaction with ChatGPT. Results: Twelve patients were included in this study, with a mean age of 27 (standard deviation of 8.57). The intervention group (7 patients) showed notable improvements in WHOQOL-BREF scores compared to the control group (5 groups), and high satisfaction levels with ChatGPT sessions were reported. Discussion: These findings suggest that AI chatbots like ChatGPT can enhance patient-reported quality of life in a psychiatric setting, with high user satisfaction. However, limitations include a small sample size and the exclusion of patients with psychosis. Future studies should focus on larger, diverse patient groups for broader validation. These results support the potential of AI chatbots in mental health care, which can provide more accessible and varied treatment options. This study lays the groundwork for further exploration into the role of AI in enhancing psychiatric treatment, advocating for larger-scale investigations to establish more conclusive evidence of their effectiveness and applicability in diverse mental health scenarios.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Generative AI's capabilities represent a significant opportunity for digital mental health, with media reports of increasing consumer usage, one meta-analysis finding generative AI chatbots more effective than rule-based ones at reducing psychological distress, and a pilot study showing promising results from ChatGPT usage in psychiatric inpatient care.
“Generative AI’s capabilities represent a significant opportunity for digital mental health37, with media reports of increasing consumer usage38,39, one meta-analysis finding generative AI chatbots more effective than rule-based ones at reducing psychological distress40, and a pilot study showing promising results from ChatGPT usage in psychiatric inpatient care41.”
From “It happened to be the perfect thing”: experiences of generative AI chatbots for mental health (2024) · cites this paper as [41]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
1 retracted
Darcy, A., Beaudette, A., Chiauzzi, E., Daniels, J., Goodwin, K., Mariano, T. Y., Wicks, P., & Robinson, A. (2022) · Expert Review of Medical Devices · doi:10.1080/17434440.2022.2075726 · Cited by 40 · see citing works
RetractedDevelopment of the World Health Organization WHOQOL-BREF Quality of Life Assessment
THE WHOQOL GROUP (1998) · Psychological Medicine · doi:10.1017/s0033291798006667 · Cited by 7,933 · see citing works
Skevington, S. M., Lotfy, M., & O'Connell, K. A. (2004) · Quality of Life Research · doi:10.1023/b:qure.0000018486.91360.00 · Cited by 4,686 · see citing works
Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017) · JMIR Mental Health · doi:10.2196/mental.7785 · Cited by 2,730 · see citing works
It's only a computer: virtual humans increase willingness to disclose
Lucas, G. M., Gratch, J., King, A., & Morency, L.-P. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.04.043 · Cited by 977 · see citing works
Abd-Alrazaq, A. A., Rababeh, A., Alajlani, M., Bewick, B. M., & Househ, M. (2020) · Journal of Medical Internet Research · doi:10.2196/16021 · Cited by 503 · see citing works
Chatbots: Security, privacy, data protection, and social aspects
Hasal, M., Nowaková, J., Ahmed Saghair, K., Abdulla, H., Snášel, V., & Ogiela, L. (2021) · Concurrency and Computation: Practice and Experience · doi:10.1002/cpe.6426 · Cited by 249 · see citing works
Artificial intelligence and chatbots in psychiatry
Pham, K. T., Nabizadeh, A., & Selek, S. (2022) · Psychiatric Quarterly · doi:10.1007/s11126-022-09973-8 · Cited by 241 · see citing works
Khawaja, Z., & Bélisle-Pipon, J.-C. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1278186 · Cited by 214 · see citing works
Murtarelli, G., Gregory, A., & Romenti, S. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.09.018 · Cited by 212 · see citing works
AI Chatbots, Health Privacy, and Challenges to HIPAA Compliance
Marks, M., & Haupt, C. E. (2023) · JAMA · doi:10.1001/jama.2023.9458 · Cited by 174 · see citing works
Emotionally Intelligent Chatbots: A Systematic Literature Review
Bilquise, G., Ibrahim, S., & Shaalan, K. F. (2022) · Human Behavior and Emerging Technologies · doi:10.1155/2022/9601630 · Cited by 170 · see citing works
Jang, S., Kim, J., Kim, S., Hong, J., Kim, S., & Kim, E. J. (2021) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2021.104440 · Cited by 146 · see citing works
Smartphone apps for the treatment of mental health conditions: status and considerations
Huckvale, K., Nicholas, J., Torous, J. B., & Larsen, M. E. (2020) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2020.04.008 · Cited by 137 · see citing works
Vilaza, G. N., & McCashin, D. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.689736 · Cited by 60 · see citing works
Chao, M.-H., Trappey, A. J. C., & Wu, C.-T. (2021) · Complexity · doi:10.1155/2021/5511866 · Cited by 39 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- ChatGPT: A Pilot Study on a Promising Tool for Mental Health Support in Psychiatric Inpatient Care International Journal of Psychiatric Trainees
Cited by
Sorted by citations
“It happened to be the perfect thing”: experiences of generative AI chatbots for mental health
Siddals, S., Torous, J., & Coxon, A. (2024) · npj Mental Health Research · doi:10.1038/s44184-024-00097-4 · Cited by 241 · see citing works
Generative Artificial Intelligence in Mental Healthcare: An Ethical Evaluation
Blease, C., & Rodman, A. M. (2024) · Current Treatment Options in Psychiatry · doi:10.1007/s40501-024-00340-x · Cited by 51 · see citing works
ChatGPT as a psychotherapist for anxiety disorders: An empirical study with anxiety patients
Alanzi, T. M., Alharthi, A. K. Z., Alrumman, S. N., Abanmi, S. N., Jumah, A., Alansari, H., Alharthi, T. S., Alibrahim, A. O., Algethami, A. A., Aburass, M. K., et al. (2024) · Nutrition and Health · doi:10.1177/02601060241281906 · Cited by 26 · see citing works
Duro, E. S. D., Improta, R., & Stella, M. (2025) · Emerging Trends in Drugs Addictions and Health · doi:10.1016/j.etdah.2025.100170 · Cited by 26 · see citing works
ChatGPT Clinical Use in Mental Health Care: Scoping Review of Empirical Evidence
Balan, R., & Gumpel, T. P. (2025) · JMIR Mental Health · doi:10.2196/81204 · Cited by 22 · see citing works
Pain recognition and pain empathy from a human-centered AI perspective
Cao, S., Fu, D., Yang, X., Wermter, S., Liu, X., & Wu, H. (2021) · iScience · doi:10.1016/j.isci.2024.110570 · Cited by 14 · see citing works
Vowels, L. M., Vowels, M. J., Sweeney, S. K., Hatch, S., & Darwiche, J. (2025) · PLOS mental health. · doi:10.1371/journal.pmen.0000411 · Cited by 11 · see citing works
Erdemi̇r, N., & SUMBAS, E. (2026) · INQUIRY The Journal of Health Care Organization Provision and Financing · doi:10.1177/00469580261438322 · Cited by 8 · see citing works
Suicide- and crisis-risk detection using large language models in mental-health chatbotsPreprint
Weber, S., Klebe, D., Wolf, L., Aeberli, C., Homan, S., Psathakis, N., Casanova, A., Macias, J. A. G., Sykstus, J., Li, J., et al. (2026) · medRxiv · doi:10.64898/2026.01.12.26343914 · Cited by 6 · see citing works
Al-Otaibi, G. M., Alotaibi, H. M., & Alsalmi, S. S. (2025) · Behavioral Sciences · doi:10.3390/bs15081119 · Cited by 5 · see citing works
Vowels, L. M., Sweeney, S. K., & Vowels, M. J. (2025) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2025.100141 · Cited by 6 · see citing works
Nazır, T. (2026) · Health Education & Behavior · doi:10.1177/10901981261435479 · Cited by 6 · see citing works
When AI Disagrees: The Effect of Second Opinion on Patients' Trust in Doctors
Chen, C., Sun, Y., Liao, M., & Sundar, S. S. (2026) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2026.103824 · Cited by 4 · see citing works
Liang, P., Chen, J., Gong, X., Huang, H., & Pu, B. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5394129 · Cited by 3 · see citing works
Günday, H. M., & Albayrak, E. (2025) · Psikiyatride Guncel Yaklasimlar - Current Approaches in Psychiatry · doi:10.18863/pgy.1620119 · Cited by 1 · see citing works
Tulbure, B. T., Spătaru, B., Rusu, A., Faur, D., Precupaș, D., Trancă, L. M., Popa, S. N., & Spătaru, A. (2026) · JMIR Formative Research · doi:10.2196/84296 · Cited by 1 · see citing works
Vowels, L. M., Vohra, P., Li, D., Zeinoddin, P. S., Elswick, A., Marcantonio, T. L., Wood, N. D., & Vowels, M. J. (2026) · PLOS Digital Health · doi:10.1371/journal.pdig.0001352 · Cited by 1 · see citing works
Hundal, J., Cheema, A. Y., Munir, M., Zaheer, A., Jai, X., & Maiti, B. (2025) · Research Square · doi:10.21203/rs.3.rs-6584974/v1 · Cited by 1 · see citing works
Şeker, A., Martins, F. S., Cavaleri, D., Longo, G., Duranté, E. K., King, J. D., Stirland, L., Kozina, L., Pinto, I. D. F., & Ryland, H. (2024) · International Journal of Psychiatric Trainees · doi:10.55922/001c.127711
Balan, R., & Gumpel, T. P. (2025) · doi:10.2196/preprints.81204
Hundal, J., Cheema, A. Y., Mishaa, M., Zaheer, A., Jai, X., & Mait, B. (2025) · doi:10.2196/preprints.85295
Takizawa, Y. (2025) · AI & Society · doi:10.1007/s00146-025-02776-y
Liljedahl, N., Ali, L., Liljedahl, S. I., Falk, Ö., & Steingrímsson, S. (2026) · doi:10.2196/preprints.98840
Patti, A. N., Mugada, V. K., Boddu, D., Boddeda, B. V. M. K., & Yarguntla, S. R. (2026) · Prague Medical Report · doi:10.14712/23362936.2026.11
Panfilova, A. S., Bolshev, V., Mozikov, M., Латынов, В. В., Vanin, A. V., Nestik, T. A., Kozin, M., Serohvostov, A., Tarasova, E., & Nikolenko, S. (2026) · IEEE Access · doi:10.1109/access.2026.3711753
Salih, S., Hashim, A. H., Ali, R., Husain, O., Motwakel, A., Elshafie, H., & khalifa, A. (2026) · Clinical eHealth · doi:10.1016/j.ceh.2026.07.002
Lerner, A., Araújo, C. A. S., & da Silva, M. F. (2026) · doi:10.5753/sbcas_estendido.2026.26501
Toward a Culture-Aware Vietnamese Mental Health Support Chatbot with Large Language Models
Nhat, N. T. M., Hoang, P. C., Quan, T. P., Dung, T. L., Nguyen, L. D., Hung, N. D., & Luong, H. V. D. (2026) · Communications in computer and information science · doi:10.1007/978-981-92-2597-2_42
Liljedahl, N., Ali, L., Liljedahl, S., Falk, Ö., & Steingrímsson, S. (2026) · JMIR Mental Health · doi:10.2196/98840
- Authors
- Melo, A., Silva, I., & Lopes, J.
- Affiliations
- Hospital Vila Franca de Xira (PT)
- Venue
- International Journal of Psychiatric Trainees
- Published
- 2024-02-09
- Volume
- 2
- Issue
- 2
- ISSN
- 2957-4080 (ISSN-L)
- 3005-3870
- OpenAlex
- W4391679088
- Cited by
- 29
- References
- 16
- Citations by year
- 2026: 13 · 2025: 11 · 2024: 5
- FWCI
- 11.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- International Journal of Psychiatric Trainees (publishedVersion, cc-by)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- ChatGPT, AI chatbots, psychiatric inpatient care, mental health support, quality of life, patient satisfaction, WHOQOL-BREF, self-help, psychoeducation, emotional support, treatment gap
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review