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Hudon A, Beaudoin M, Phraxayavong K, Potvin S, Dumais A. Enhancing Predictive Power: Integrating a Linear Support Vector Classifier with Logistic Regression for Patient Outcome Prognosis in Virtual Reality Therapy for Treatment-Resistant Schizophrenia. J Pers Med 2023; 13:1660. [PMID: 38138887 PMCID: PMC10744538 DOI: 10.3390/jpm13121660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 11/11/2023] [Accepted: 11/27/2023] [Indexed: 12/24/2023] Open
Abstract
(1) Background: Approximately 30% of schizophrenia patients are known to be treatment-resistant. For these cases, more personalized approaches must be developed. Virtual reality therapeutic approaches such as avatar therapy (AT) are currently undergoing investigations to address these patients' needs. To further tailor the therapeutic trajectory of patients presenting with this complex presentation of schizophrenia, quantitative insight about the therapeutic process is warranted. The aim of the study is to combine a classification model with a regression model with the aim of predicting the therapeutic outcomes of patients based on the interactions taking place during their first immersive session of virtual reality therapy. (2) Methods: A combination of a Linear Support Vector Classifier and logistic regression was conducted over a dataset comprising 162 verbatims of the immersive sessions of 18 patients who previously underwent AT. As a testing dataset, 17 participants, unknown to the dataset, had their first immersive session presented to the combinatory model to predict their clinical outcome. (3) Results: The model accurately predicted the clinical outcome for 15 out of the 17 participants. Classification of the therapeutic interactions achieved an accuracy of 63%. (4) Conclusion: To our knowledge, this is the first attempt to predict the outcome of psychotherapy patients based on the content of their interactions with their therapist. These results are important as they open the door to personalization of psychotherapy based on quantitative information about the interactions taking place during AT.
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Affiliation(s)
- Alexandre Hudon
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3V2, Canada; (A.H.); (M.B.); (S.P.)
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
| | - Mélissa Beaudoin
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3V2, Canada; (A.H.); (M.B.); (S.P.)
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
| | | | - Stéphane Potvin
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3V2, Canada; (A.H.); (M.B.); (S.P.)
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
| | - Alexandre Dumais
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3V2, Canada; (A.H.); (M.B.); (S.P.)
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
- Services et Recherches Psychiatriques AD, Montreal, QC H1N 3V2, Canada;
- Institut National de Psychiatrie Légale Philippe-Pinel, Montreal, QC H1C 1H1, Canada
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Hudon A, Lammatteo V, Rodrigues-Coutlée S, Dellazizzo L, Giguère S, Phraxayavong K, Potvin S, Dumais A. Exploration of the role of emotional expression of treatment-resistant schizophrenia patients having followed virtual reality therapy: a content analysis. BMC Psychiatry 2023; 23:420. [PMID: 37308864 DOI: 10.1186/s12888-023-04861-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 05/10/2023] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND Emotional responses are an important component of psychotherapeutic processes. Avatar therapy (AT) is a virtual reality-based therapy currently being developed and studied for patients suffering from treatment resistant schizophrenia. Considering the importance of identifying emotions in therapeutical processes and their impact on the therapeutic outcome, an exploration of such emotions is needed. METHODS The aim of this study is to identify the underlying emotions at the core of the patient-Avatar interaction during AT by content analysis of immersive sessions transcripts and audio recordings. A content analysis of AT transcripts and audio recordings using iterative categorization was conducted for 16 patients suffering from TRS who underwent AT between 2017 and 2022 (128 transcripts and 128 audio recordings). An iterative categorization technique was conducted to identify the different emotions expressed by the patient and the Avatar during the immersive sessions. RESULTS The following emotions were identified in this study: Anger, Contempt/ Disgust, Fear, Sadness, Shame/ Embarrassment, Interest, Surprise, Joy and Neutral. Patients expressed mostly neutral, joy and anger emotions whereas the Avatar expressed predominantly interest, disgust/contempt, and neutral emotions. CONCLUSIONS This study portrays a first qualitative insight on the emotions that are expressed in AT and serves as a steppingstone for further investigation in the role of emotions in the therapeutic outcomes of AT.
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Affiliation(s)
- Alexandre Hudon
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | | | | | - Laura Dellazizzo
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Sabrina Giguère
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | | | - Stéphane Potvin
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Alexandre Dumais
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada.
- Services et Recherches Psychiatriques AD, Montreal, QC, Canada.
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada.
- Institut national de psychiatrie légale Philippe-Pinel, Montreal, Canada.
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Hudon A, Beaudoin M, Phraxayavong K, Potvin S, Dumais A. Unsupervised Machine Learning Driven Analysis of Verbatims of Treatment-Resistant Schizophrenia Patients Having Followed Avatar Therapy. J Pers Med 2023; 13:jpm13050801. [PMID: 37240971 DOI: 10.3390/jpm13050801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/04/2023] [Accepted: 05/06/2023] [Indexed: 05/28/2023] Open
Abstract
(1) Background: The therapeutic mechanisms underlying psychotherapeutic interventions for individuals with treatment-resistant schizophrenia are mostly unknown. One of these treatment techniques is avatar therapy (AT), in which the patient engages in immersive sessions while interacting with an avatar representing their primary persistent auditory verbal hallucination. The aim of this study was to conduct an unsupervised machine-learning analysis of verbatims of treatment-resistant schizophrenia patients that have followed AT. The second aim of the study was to compare the data clusters obtained from the unsupervised machine-learning analysis with previously conducted qualitative analysis. (2) Methods: A k-means algorithm was performed over the immersive-session verbatims of 18 patients suffering from treatment-resistant schizophrenia who followed AT to cluster interactions of the avatar and the patient. Data were pre-processed using vectorization and data reduction. (3): Results: Three clusters of interactions were identified for the avatar's interactions whereas four clusters were identified for the patient's interactions. (4) Conclusion: This study was the first attempt to conduct unsupervised machine learning on AT and provided a quantitative insight into the inner interactions that take place during immersive sessions. The use of unsupervised machine learning could yield a better understanding of the type of interactions that take place in AT and their clinical implications.
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Affiliation(s)
- Alexandre Hudon
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3J4, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
| | - Mélissa Beaudoin
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3J4, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
- Faculty of Medicine and Health Sciences, McGill University, Montreal, QC H3G 2M1, Canada
| | - Kingsada Phraxayavong
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3J4, Canada
- Services et Recherches Psychiatriques AD, Montreal, QC H1C 1H1, Canada
| | - Stéphane Potvin
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3J4, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
| | - Alexandre Dumais
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3J4, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
- Services et Recherches Psychiatriques AD, Montreal, QC H1C 1H1, Canada
- Institut National de Psychiatrie Légale Philippe-Pinel, Montreal, QC H1C 1H1, Canada
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Giguère S, Potvin S, Beaudoin M, Dellazizzo L, Giguère CÉ, Furtos A, Gilbert K, Phraxayavong K, Dumais A. Avatar Intervention for Cannabis Use Disorder in Individuals with Severe Mental Disorders: A Pilot Study. J Pers Med 2023; 13:jpm13050766. [PMID: 37240936 DOI: 10.3390/jpm13050766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 04/22/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
Abstract
Cannabis use disorder (CUD) is a complex issue, even more so when it is comorbid with a severe mental disorder (SMD). Available interventions are at best slightly effective, and their effects are not maintained over time. Therefore, the integration of virtual reality (VR) may increase efficacy; however, it has not yet been investigated in the treatment of CUD. A novel approach, avatar intervention for CUD, uses existing therapeutic techniques from other recommended therapies (e.g., cognitive behavioral methods, motivational interviewing) and allows participants to practice them in real-time. During immersive sessions, participants are invited to interact with an avatar representing a significant person related to their drug use. This pilot clinical trial aimed to evaluate the short-term efficacity of avatar intervention for CUD on 19 participants with a dual diagnosis of SMD and CUD. Results showed a significant moderate reduction in the quantity of cannabis use (Cohen's d = 0.611, p = 0.004), which was confirmed via urinary quantification of cannabis use. Overall, this unique intervention shows promising results. Longer-term results, as well as comparison with classical interventions in a larger sample, are warranted through a future single-blind randomized controlled trial.
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Affiliation(s)
- Sabrina Giguère
- Department of Psychiatry and Addictology, University of Montreal, Montreal, QC H3T 1J4, Canada
- Research Center of the University Institute in Mental Health of Montreal, Montreal, QC H1N 3V2, Canada
| | - Stéphane Potvin
- Department of Psychiatry and Addictology, University of Montreal, Montreal, QC H3T 1J4, Canada
- Research Center of the University Institute in Mental Health of Montreal, Montreal, QC H1N 3V2, Canada
| | - Mélissa Beaudoin
- Department of Psychiatry and Addictology, University of Montreal, Montreal, QC H3T 1J4, Canada
- Research Center of the University Institute in Mental Health of Montreal, Montreal, QC H1N 3V2, Canada
- Faculty of Medicine and Health Sciences, McGill University, Montreal, QC H3G 2M1, Canada
| | - Laura Dellazizzo
- Department of Psychiatry and Addictology, University of Montreal, Montreal, QC H3T 1J4, Canada
- Research Center of the University Institute in Mental Health of Montreal, Montreal, QC H1N 3V2, Canada
| | - Charles-Édouard Giguère
- Research Center of the University Institute in Mental Health of Montreal, Montreal, QC H1N 3V2, Canada
| | - Alexandra Furtos
- Department of Chemistry, University of Montreal, Montreal, QC H2V 0B3, Canada
| | - Karine Gilbert
- Department of Chemistry, University of Montreal, Montreal, QC H2V 0B3, Canada
| | - Kingsada Phraxayavong
- Research Center of the University Institute in Mental Health of Montreal, Montreal, QC H1N 3V2, Canada
- Services et Recherches Psychiatriques AD, Montreal, QC H1N 3V2, Canada
| | - Alexandre Dumais
- Department of Psychiatry and Addictology, University of Montreal, Montreal, QC H3T 1J4, Canada
- Research Center of the University Institute in Mental Health of Montreal, Montreal, QC H1N 3V2, Canada
- Services et Recherches Psychiatriques AD, Montreal, QC H1N 3V2, Canada
- Institut National de Psychiatrie Légale Philippe-Pinel, Montreal, QC H1C 1H1, Canada
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Hudon A, Couture J, Dellazizzo L, Beaudoin M, Phraxayavong K, Potvin S, Dumais A. Dyadic Interactions of Treatment-Resistant Schizophrenia Patients Having Followed Virtual Reality Therapy: A Content Analysis. J Clin Med 2023; 12:jcm12062299. [PMID: 36983300 PMCID: PMC10053204 DOI: 10.3390/jcm12062299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 03/03/2023] [Accepted: 03/15/2023] [Indexed: 03/18/2023] Open
Abstract
(1) Background: Very little is known about the inner therapeutic processes of psychotherapy interventions for patients suffering from treatment-resistant schizophrenia. Avatar therapy (AT) is one such modalities in which the patient is undergoing immersive sessions in which they interact with an Avatar representing their main persistent auditory verbal hallucination. The aim of this study is to identify the most prevalent dyadic interactions between the patient and the Avatar in AT for patient’s suffering from TRS. (2) Methods: A content analysis of 256 verbatims originating from 32 patients who completed AT between 2017 and 2022 at the Institut universitaire en santé mentale de Montréal was conducted to identify dyadic interactions between the patients and their Avatar. (3) Results: Five key dyads were identified to occur on average more than 10 times for each participant during the immersive sessions across their AT: (Avatar: Reinforcement, Patient: Self-affirmation), (Avatar: Provocation, Patient: Self-affirmation), (Avatar: Coping mechanisms, Patient: Prevention), (Patient: Self-affirmation, Avatar: Reinforcement), and (Patient: Self-appraisal, Avatar: Reinforcement). (4) Conclusion: These dyads offer a first qualitative insight to the interpersonal dynamics and patient-avatar relationships taking place during AT. Future studies on the implication of such dyadic interactions with the therapeutic outcome of AT should be conducted considering the importance of dyadic relationships in psychotherapy.
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Affiliation(s)
- Alexandre Hudon
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montréal, QC H1N 3J4, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Jonathan Couture
- Faculty of Medicine, Department of Medicine, Campus Montréal, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Laura Dellazizzo
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montréal, QC H1N 3J4, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Mélissa Beaudoin
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montréal, QC H1N 3J4, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | | | - Stéphane Potvin
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montréal, QC H1N 3J4, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Alexandre Dumais
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montréal, QC H1N 3J4, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada
- Services et Recherches Psychiatriques AD, Montréal, QC H1C 1H1, Canada
- Institut National de Psychiatrie Légale Philippe-Pinel, Montréal, QC H1C 1H1, Canada
- Correspondence:
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Beaudoin M, Potvin S, Phraxayavong K, Dumais A. Changes in Quality of Life in Treatment-Resistant Schizophrenia Patients Undergoing Avatar Therapy: A Content Analysis. J Pers Med 2023; 13:jpm13030522. [PMID: 36983704 PMCID: PMC10058174 DOI: 10.3390/jpm13030522] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/08/2023] [Accepted: 03/09/2023] [Indexed: 03/15/2023] Open
Abstract
Avatar Therapy has a significant impact on symptoms, beliefs, and quality of life of patients with treatment-resistant schizophrenia. However, little is known about how these changes are implemented into their lives and to which aspects of their lives these improvements relate. Ten consecutive patients enrolled in an ongoing clinical trial were assessed using semi-guided interviews before as well as three months after Avatar Therapy. These encounters have been recorded and transcribed so that the discourse could be thoroughly analyzed, leading to the generation of an extensive theme grid. As the cases were analyzed, the grid was adapted in a back-and-forth manner until data saturation occurred. The content analysis allowed the identification of nine main themes representing different aspects of the patients’ lives, each of which was subdivided into more specific codes. By analyzing the evolution of their frequency, it was observed that, following therapy, patients presented with fewer psychotic symptoms, better self-esteem, more hobbies and projects, and an overall improved lifestyle and mood. Finally, investigating the impact of Avatar Therapy on quality of life allows for a deeper understanding of how people with treatment-resistant schizophrenia can achieve meaningful changes and move towards a certain recovery process.
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Affiliation(s)
- Mélissa Beaudoin
- Department of Psychiatry and Addictology, University of Montreal, Montreal, QC H3T 1J4, Canada
- Faculty of Medicine and Health Sciences, McGill University, Montreal, QC H3G 2M1, Canada
- Research Center of the University Institute in Mental Health of Montreal, Montreal, QC H1N 3V2, Canada
- Correspondence: (M.B.); (A.D.); Tel.: +1-514-251-4015 (A.D.)
| | - Stephane Potvin
- Department of Psychiatry and Addictology, University of Montreal, Montreal, QC H3T 1J4, Canada
- Research Center of the University Institute in Mental Health of Montreal, Montreal, QC H1N 3V2, Canada
| | - Kingsada Phraxayavong
- Research Center of the University Institute in Mental Health of Montreal, Montreal, QC H1N 3V2, Canada
- Services et Recherches Psychiatriques AD, Montreal, QC H1N 3V2, Canada
| | - Alexandre Dumais
- Department of Psychiatry and Addictology, University of Montreal, Montreal, QC H3T 1J4, Canada
- Research Center of the University Institute in Mental Health of Montreal, Montreal, QC H1N 3V2, Canada
- Services et Recherches Psychiatriques AD, Montreal, QC H1N 3V2, Canada
- Institut National de Psychiatrie Légale Philippe-Pinel, Montreal, QC H1C 1H1, Canada
- Correspondence: (M.B.); (A.D.); Tel.: +1-514-251-4015 (A.D.)
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Hudon A, Léveillé N, Sanchez-Schicharew K, Dellazizzo L, Phraxayavong K, Dumais A. The impacts of the COVID-19 pandemic on treatment-resistant schizophrenia patients having followed virtual reality therapy or cognitive behavioural therapy: a content analysis. Ann Med 2022; 54:2477-2485. [PMID: 36102593 PMCID: PMC9481136 DOI: 10.1080/07853890.2022.2121852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
PURPOSE The COVID-19 pandemic led to exacerbation of mental health symptoms and deterioration in psychological well-being in individuals suffering from schizophrenia. The primary objective of this study is to evaluate the impacts of the COVID-19 pandemic on patients suffering from treatment-resistant schizophrenia (TRS) with auditory verbal hallucinations (AVH) having undergone virtual reality therapy (VRT) or cognitive behavioural therapy (CBT) on their symptomatology. The secondary objective is to identify the differences and similarities in relation to the response to the COVID 19 pandemic between these two groups of patients. METHODS Qualitative analysis of semi-structured interviews was conducted with 42 patients suffering from TRS who had previously followed VRT or CBT. All interviews were recorded, transcribed, and analysed. RESULTS Four themes emerged in this study: Psychotherapeutic Interventions, Impact of COVID-19 and Public health and safety policies, Substance use and Psychiatric follow-up. Participants from both groups reported that their therapy was beneficial in controlling AVH. Patients having followed CBT reported more depressive symptoms whereas patients having followed VRT reported more anxious symptoms. CONCLUSIONS This study offers a first qualitative insight in patients suffering from TRS and the impacts of COVID-19 on them and opens the door to the protective factors of CBT and VRT for this specific population.
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Affiliation(s)
- Alexandre Hudon
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada.,Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, Canada
| | - Nayla Léveillé
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, Canada
| | | | - Laura Dellazizzo
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada.,Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, Canada
| | | | - Alexandre Dumais
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada.,Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, Canada.,Services et Recherches Psychiatriques AD, Montreal, Canada.,Institut national de Psychiatrie Légale Philippe-Pinel, Montreal, Canada
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Hudon A, Beaudoin M, Phraxayavong K, Dellazizzo L, Potvin S, Dumais A. Implementation of a machine learning algorithm for automated thematic annotations in avatar: A linear support vector classifier approach. Health Informatics J 2022; 28:14604582221142442. [DOI: 10.1177/14604582221142442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Avatar Therapy (AT) is a modern therapeutic alternative for patients with schizophrenia suffering from persistent auditory verbal hallucinations. Its intrinsic therapeutical process is currently qualitatively analyzed via human coders that annotate session transcripts. This process is time and resource demanding. This creates a need to find potential algorithms that can operate on small datasets and perform such annotations. The first objective of this study is to conduct the automated text classification of interactions in AT and the second objective is to assess if this classification is comparable to the classification done by human coders. A Linear Support Vector Classifier was implemented to perform automated theme classifications on Avatar Therapy session transcripts with the use of a limited dataset with an accuracy of 66.02% and substantial classification agreement of 0.647. These results open the door to additional research such as predicting the outcome of a therapy.
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Affiliation(s)
- Alexandre Hudon
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC, Canada; Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Mélissa Beaudoin
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC, Canada; Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | | | - Laura Dellazizzo
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC, Canada; Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Stéphane Potvin
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC, Canada; Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Alexandre Dumais
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC, Canada; Services et Recherches Psychiatriques AD, Montreal, QC, Canada; Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada; Institut national de psychiatrie légale Philippe-Pinel, Montreal, Canada
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Hudon A, Beaudoin M, Phraxayavong K, Dellazizzo L, Potvin S, Dumais A. Use of Automated Thematic Annotations for Small Data Sets in a Psychotherapeutic Context: Systematic Review of Machine Learning Algorithms. JMIR Ment Health 2021; 8:e22651. [PMID: 34677133 PMCID: PMC8571689 DOI: 10.2196/22651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Revised: 10/06/2020] [Accepted: 07/27/2021] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND A growing body of literature has detailed the use of qualitative analyses to measure the therapeutic processes and intrinsic effectiveness of psychotherapies, which yield small databases. Nonetheless, these approaches have several limitations and machine learning algorithms are needed. OBJECTIVE The objective of this study is to conduct a systematic review of the use of machine learning for automated text classification for small data sets in the fields of psychiatry, psychology, and social sciences. This review will identify available algorithms and assess if automated classification of textual entities is comparable to the classification done by human evaluators. METHODS A systematic search was performed in the electronic databases of Medline, Web of Science, PsycNet (PsycINFO), and Google Scholar from their inception dates to 2021. The fields of psychiatry, psychology, and social sciences were selected as they include a vast array of textual entities in the domain of mental health that can be reviewed. Additional records identified through cross-referencing were used to find other studies. RESULTS This literature search identified 5442 articles that were eligible for our study after the removal of duplicates. Following abstract screening, 114 full articles were assessed in their entirety, of which 107 were excluded. The remaining 7 studies were analyzed. Classification algorithms such as naive Bayes, decision tree, and support vector machine classifiers were identified. Support vector machine is the most used algorithm and best performing as per the identified articles. Prediction classification scores for the identified algorithms ranged from 53%-91% for the classification of textual entities in 4-7 categories. In addition, 3 of the 7 studies reported an interjudge agreement statistic; these were consistent with agreement statistics for text classification done by human evaluators. CONCLUSIONS A systematic review of available machine learning algorithms for automated text classification for small data sets in several fields (psychiatry, psychology, and social sciences) was conducted. We compared automated classification with classification done by human evaluators. Our results show that it is possible to automatically classify textual entities of a transcript based solely on small databases. Future studies are nevertheless needed to assess whether such algorithms can be implemented in the context of psychotherapies.
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Affiliation(s)
- Alexandre Hudon
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montréal, QC, Canada.,Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Mélissa Beaudoin
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montréal, QC, Canada.,Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | | | - Laura Dellazizzo
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montréal, QC, Canada.,Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Stéphane Potvin
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montréal, QC, Canada.,Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Alexandre Dumais
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montréal, QC, Canada.,Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada.,Services et Recherches Psychiatriques AD, Montréal, QC, Canada.,Institut national de psychiatrie légale Philippe-Pinel, Montréal, QC, Canada
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Dellazizzo L, Potvin S, Phraxayavong K, Giguère S, Hamidi LN, Dumais A. L’amélioration de la qualité de vie chez les patients atteints d’une schizophrénie réfractaire ayant suivi la Thérapie assistée par la Réalité Virtuelle : une analyse de contenu. smq 2021. [DOI: 10.7202/1081514ar] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Objectifs La schizophrénie, en particulier la schizophrénie résistante aux traitements (SRT), est considérée comme l’un des troubles psychiatriques les plus invalidants en termes d’effets indésirables sur la qualité de vie (QV) des patients. La QV subjective est devenue une cible particulièrement cruciale qui devrait être améliorée avec le traitement, car une QV améliorée peut entraîner le rétablissement chez les patients atteints de schizophrénie. Il existe cependant peu de preuves des effets des interventions psychosociales recommandées sur les mesures non symptomatiques comme la QV. À cet égard, le traitement de la schizophrénie peut être renforcé si, en plus du traitement des symptômes, l’accent thérapeutique est mis sur d’autres sphères importantes pour les patients. Avec les progrès technologiques, la Thérapie assistée par la Réalité Virtuelle (TRV) permet aux entendeurs de voix d’entrer en dialogue direct avec un avatar, animé entièrement par le thérapeute, qui représente leur voix la plus persécutrice. Ceci dans le but de leur permettre d’acquérir un meilleur contrôle sur leurs voix et de travailler sur leur estime de soi. Au-delà de la symptomatologie, les résultats des projets pilotes sur cette thérapie innovante ont montré des résultats significatifs sur la QV.
Méthode Afin de peaufiner les résultats quantitatifs trouvés, cet article a exploré les thèmes émergents d’une analyse de contenu découlant du discours spontané de 10 patients ayant bien répondu à la TRV.
Résultats Quatre thèmes généraux ont émergé : 1) impact de la thérapie sur les voix ; 2) relations interpersonnelles ; 3) bien-être psychologique ; et 4) mode de vie. Cette analyse de contenu a permis d’identifier plusieurs sphères de vie qui sont davantage améliorées chez les patients ayant une SRT à l’aide de la TRV.
Conclusion : La TRV met en évidence l’avenir des approches adaptées aux objectifs des patients qui intègrent plusieurs processus pertinents pour potentiellement améliorer leur QV. La TRV peut avoir des implications potentiellement immenses sur la santé et la qualité de vie des patients. Cette étude fut une première étape vers l’exploration des effets subjectifs de la TRV sur la vie des patients au-delà des symptômes.
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Affiliation(s)
- Laura Dellazizzo
- Centre de recherche de l’Institut Universitaire en Santé mentale de Montréal, Montréal, Canada ; Faculté de Médecine, Université de Montréal, Montréal, Canada
| | - Stéphane Potvin
- Centre de recherche de l’Institut Universitaire en Santé mentale de Montréal, Montréal, Canada ; Faculté de Médecine, Université de Montréal, Montréal, Canada
| | | | - Sabrina Giguère
- Centre de recherche de l’Institut Universitaire en Santé mentale de Montréal, Montréal, Canada ; Faculté de Médecine, Université de Montréal, Montréal, Canada
| | - Lyna-Nour Hamidi
- Centre de recherche de l’Institut Universitaire en Santé mentale de Montréal, Montréal, Canada ; Faculté de Médecine, Université de Montréal, Montréal, Canada
| | - Alexandre Dumais
- Centre de recherche de l’Institut Universitaire en Santé mentale de Montréal, Montréal, Canada ; Faculté de Médecine, Université de Montréal, Montréal, Canada ; Services et Recherches Psychiatriques AD, Montréal, Canada ; Institut national de psychiatrie légale Philippe-Pinel, Montréal, Canada
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11
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Dellazizzo L, Potvin S, Phraxayavong K, Dumais A. One-year randomized trial comparing virtual reality-assisted therapy to cognitive-behavioral therapy for patients with treatment-resistant schizophrenia. NPJ Schizophr 2021; 7:9. [PMID: 33580033 PMCID: PMC7881089 DOI: 10.1038/s41537-021-00139-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 12/09/2020] [Indexed: 01/16/2023]
Abstract
The gold-standard cognitive-behavioral therapy (CBT) for psychosis offers at best modest effects. With advances in technology, virtual reality (VR) therapies for auditory verbal hallucinations (AVH), such as AVATAR therapy (AT) and VR-assisted therapy (VRT), are amid a new wave of relational approaches that may heighten effects. Prior trials have shown greater effects of these therapies on AVH up to a 24-week follow-up. However, no trial has compared them to a recommended active treatment with a 1-year follow-up. We performed a pilot randomized comparative trial evaluating the short- and long-term efficacy of VRT over CBT for patients with treatment-resistant schizophrenia. Patients were randomized to VRT (n = 37) or CBT (n = 37). Clinical assessments were administered before and after each intervention and at follow-up periods up to 12 months. Between and within-group changes in psychiatric symptoms were assessed using linear mixed-effects models. Short-term findings showed that both interventions produced significant improvements in AVH severity and depressive symptoms. Although results did not show a statistically significant superiority of VRT over CBT for AVH, VRT did achieve larger effects particularly on overall AVH (d = 1.080 for VRT and d = 0.555 for CBT). Furthermore, results suggested a superiority of VRT over CBT on affective symptoms. VRT also showed significant results on persecutory beliefs and quality of life. Effects were maintained up to the 1-year follow-up. VRT highlights the future of patient-tailored approaches that may show benefits over generic CBT for voices. A fully powered single-blind randomized controlled trial comparing VRT to CBT is underway.
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Affiliation(s)
- Laura Dellazizzo
- Research center of the Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada
- Department of Psychiatry and addictology, Faculty of Medicine, University of Montreal, Montreal, Canada
| | - Stéphane Potvin
- Research center of the Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada
- Department of Psychiatry and addictology, Faculty of Medicine, University of Montreal, Montreal, Canada
| | | | - Alexandre Dumais
- Research center of the Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada.
- Department of Psychiatry and addictology, Faculty of Medicine, University of Montreal, Montreal, Canada.
- Services et Recherches Psychiatriques AD, Montreal, Canada.
- Institut national de psychiatrie légale Philippe-Pinel, Montreal, Canada.
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Beaudoin M, Potvin S, Machalani A, Dellazizzo L, Bourguignon L, Phraxayavong K, Dumais A. The therapeutic processes of avatar therapy: A content analysis of the dialogue between treatment-resistant patients with schizophrenia and their avatar. Clin Psychol Psychother 2021; 28:500-518. [PMID: 33484042 DOI: 10.1002/cpp.2556] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/21/2020] [Accepted: 01/05/2021] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Because the therapeutic processes of Avatar Therapy remain equivocal, the current study aims to further extend our previous findings by analysing the evolution of the avatars' and patients' speech and changes in patient responses as sessions progressed. DESIGN Eighteen patients with treatment-resistant schizophrenia were selected from two clinical trials on Avatar Therapy. Three coders analysed both the avatars' and patients' discourse during immersive therapy sessions using content analysis methods. RESULTS Our analyses enabled the categorization of the avatar discourse into confrontational techniques (e.g., provocation) and positive techniques (e.g., reinforcement). Patients responded to these utterances using coping mechanism or by expressing emotions, beliefs, self-perceptions or aspirations. Through identification of mutual changes in the interaction between the patient and their avatar, a shift was observed over the sessions from confrontation to a constructive dialogue. Assertiveness, emotional responses and prevention strategies seemed to be central to the therapeutic process, and these usually occur in response to positive techniques. CONCLUSION Investigating AT's therapeutic process may help to identify components to achieve positive outcomes and can enable the development of more effective treatments. Further studies should explore the association between these themes and therapeutic response to help predict which patients will better respond to Avatar Therapy.
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Affiliation(s)
- Mélissa Beaudoin
- Department of Psychiatry and Addictology, Université de Montréal, Montreal, Canada
- Faculty of Medicine, McGill University, Montreal, Canada
- Research Center, University Institute in Mental Health of Montreal, Montreal, Canada
| | - Stéphane Potvin
- Department of Psychiatry and Addictology, Université de Montréal, Montreal, Canada
- Research Center, University Institute in Mental Health of Montreal, Montreal, Canada
| | - Alexandra Machalani
- Faculty of Medicine, McGill University, Montreal, Canada
- Université du Québec à Trois-Rivières, Trois-Rivières, Canada
| | - Laura Dellazizzo
- Department of Psychiatry and Addictology, Université de Montréal, Montreal, Canada
- Research Center, University Institute in Mental Health of Montreal, Montreal, Canada
| | - Lysandre Bourguignon
- Department of Psychiatry and Addictology, Université de Montréal, Montreal, Canada
- Research Center, University Institute in Mental Health of Montreal, Montreal, Canada
| | | | - Alexandre Dumais
- Department of Psychiatry and Addictology, Université de Montréal, Montreal, Canada
- Research Center, University Institute in Mental Health of Montreal, Montreal, Canada
- Institut national de psychiatrie légale Philippe-Pinel, Montreal, Canada
- Services et Recherches Psychiatriques AD, Montreal, Canada
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13
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Dellazizzo L, Potvin S, Phraxayavong K, Giguère S, Hamidi LN, Dumais A. [Improving Quality of Life in Patients with Refractory Schizophrenia After Virtual Reality-assisted Therapy: A Content Analysis]. Sante Ment Que 2021; 46:157-174. [PMID: 34597493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objectives Schizophrenia, particularly treatment-resistant schizophrenia (TRS), is one of the most disabling psychiatric disorders in terms of adverse effects on the quality of life (QOL) of patients. Subjective QOL has become a particularly crucial target that should be improved with treatment, since improved QOL may lead to recovery in patients with schizophrenia. However, there is little evidence on the efficacy of recommended psychosocial interventions on non-symptomatic measures such as QOL. In this regard, the treatment of schizophrenia can be enhanced if, in addition to the treatment of symptoms, therapeutic emphasis is placed on other areas of importance to patients. With advancements in technology, Virtual Reality assisted Therapy (VRT) allows voice hearers to enter in a direct dialogue with an avatar, fully animated by the therapist, who represents their most persecuting voice. This is in the aim to allow them to gain better control over their voices and to work on their self-esteem. Beyond symptomatology, the results of the pilot projects on this innovative therapy have shown significant results on QOL. Method To refine the observed quantitative results, this article will explore emerging themes from a content analysis arising from the spontaneous discourse of 10 patients who responded well to TRV. Results Four general themes emerged: (i) impact of therapy on voices, (ii) interpersonal relationships, (iii) psychological well-being, and (iv) lifestyle. This content analysis has identified several spheres of life that are further improved in patients with TRS using TRV. Conclusion TRV highlights the future of patient-oriented approaches that integrate several relevant processes to potentially improve QOL. TRV can have potentially immense implications for the health and quality of life of patients. This study was a first step towards exploring the subjective effects of TRV on the lives of patients beyond the symptoms.
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Affiliation(s)
- Laura Dellazizzo
- Centre de recherche de l'Institut Universitaire en Santé mentale de Montréal, Montréal, Canada ; Faculté de Médecine, Université de Montréal, Montréal, Canada
| | - Stéphane Potvin
- Centre de recherche de l'Institut Universitaire en Santé mentale de Montréal, Montréal, Canada ; Faculté de Médecine, Université de Montréal, Montréal, Canada
| | | | - Sabrina Giguère
- Centre de recherche de l'Institut Universitaire en Santé mentale de Montréal, Montréal, Canada ; Faculté de Médecine, Université de Montréal, Montréal, Canada
| | - Lyna-Nour Hamidi
- Centre de recherche de l'Institut Universitaire en Santé mentale de Montréal, Montréal, Canada ; Faculté de Médecine, Université de Montréal, Montréal, Canada
| | - Alexandre Dumais
- Centre de recherche de l'Institut Universitaire en Santé mentale de Montréal, Montréal, Canada ; Faculté de Médecine, Université de Montréal, Montréal, Canada ; Services et Recherches Psychiatriques AD, Montréal, Canada ; Institut national de psychiatrie légale Philippe-Pinel, Montréal, Canada
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Dellazizzo L, Potvin S, Phraxayavong K, Dumais A. Exploring the Benefits of Virtual Reality-Assisted Therapy Following Cognitive-Behavioral Therapy for Auditory Hallucinations in Patients with Treatment-Resistant Schizophrenia: A Proof of Concept. J Clin Med 2020; 9:E3169. [PMID: 33007909 PMCID: PMC7601104 DOI: 10.3390/jcm9103169] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 09/20/2020] [Accepted: 09/27/2020] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Combining cognitive behavioral therapy (CBT) for psychosis with another psychosocial intervention comprising virtual reality (VR)-assisted therapy (VRT) may improve targeted outcomes in treatment-resistant schizophrenia patients. METHODS Ten participants having followed CBT were part of our comparative clinical trial comparing VRT to CBT and were selected at the end of the study as they desired to continue to achieve improvements with VRT (CBT + VRT). Clinical assessments were administered before/after treatments and at follow-ups. Changes in outcomes were examined using linear mixed-effects models. To gain a more in depth understanding on CBT + VRT, therapists' notes, and open interviews on a sub-group of patients were qualitatively analyzed. RESULTS Findings showed that the sequence of both interventions was appreciated by all patients. Several significant improvements were found throughout time points on auditory verbal hallucinations, beliefs about voices, depressive symptoms, symptoms of schizophrenia and quality of life. Although most of these improvements were in similar range to those observed in our comparative trial, effects of CBT + VRT on depressive symptoms and symptoms of schizophrenia were larger than those found for either intervention alone. CONCLUSION This proof of concept is the first to merge gold-standard CBT with VRT for treatment refractory voices and to suggest a certain synergistic effect.
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Affiliation(s)
- Laura Dellazizzo
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, 7331 Hochelaga, Montreal, QC H1N 3V2, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada
| | - Stéphane Potvin
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, 7331 Hochelaga, Montreal, QC H1N 3V2, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada
| | | | - Alexandre Dumais
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, 7331 Hochelaga, Montreal, QC H1N 3V2, Canada
- Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada
- Services et Recherches Psychiatriques AD, Montreal, QC, Canada
- Institut National de Psychiatrie légale Philippe-Pinel, Montreal, QC H1C 1H1, Canada
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15
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Dellazizzo L, Percie du Sert O, Phraxayavong K, Potvin S, O'Connor K, Dumais A. Exploration of the dialogue components in Avatar Therapy for schizophrenia patients with refractory auditory hallucinations: A content analysis. Clin Psychol Psychother 2018; 25:878-885. [PMID: 30221431 DOI: 10.1002/cpp.2322] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Revised: 06/30/2018] [Accepted: 08/06/2018] [Indexed: 11/12/2022]
Abstract
Auditory verbal hallucinations are hallmark symptoms of schizophrenia and are amongst the most disturbing symptoms of the disorder. Although not entirely understood, the relationship between the voice hearer and their voices has been shown to be an important treatment target. Understanding voice hearers' standpoints through qualitative analysis is central to apprehend a deeper comprehension of their experience and further explore the relevance of interpersonal interventions. Compared with other dialogical intervention, virtual reality-assisted therapy (Avatar Therapy) enables patients to be in a tangible relation with a representation of their persecutory voice. This novel therapy has shown favourable results, though the therapeutic processes remain equivocal. We consequently sought to begin by characterizing the main themes emerging during the therapy by exploring the hearer's discussion with their avatar. The therapy sessions of 12 of our referrals were transcribed, and the patients' responses were analysed using content analysis methods. Five themes emerged from data saturation: emotional responses to the voices, beliefs about voices and schizophrenia, self-perceptions, coping mechanisms, and aspirations. All patients had at least one element within each of these themes. Our analyses also enabled us to identify changes that were either verbalized by the patients or noted by the raters throughout therapy sessions. These findings are relevant as they allowed to identify key themes that are hypothesized to be related to therapeutic targets in a novel relational therapy using virtual reality. Future studies to further explore the processes implicated within Avatar Therapy are necessary.
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Affiliation(s)
- Laura Dellazizzo
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada.,Department of Psychiatry and addictology, Faculty of Medicine, Université de Montréal, Montreal, Canada.,Institut Philippe-Pinel de Montréal, Montreal, Canada
| | - Olivier Percie du Sert
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada.,Department of Psychiatry and addictology, Faculty of Medicine, Université de Montréal, Montreal, Canada.,Institut Philippe-Pinel de Montréal, Montreal, Canada
| | | | - Stéphane Potvin
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada.,Department of Psychiatry and addictology, Faculty of Medicine, Université de Montréal, Montreal, Canada
| | - Kieron O'Connor
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada.,Department of Psychiatry and addictology, Faculty of Medicine, Université de Montréal, Montreal, Canada
| | - Alexandre Dumais
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada.,Department of Psychiatry and addictology, Faculty of Medicine, Université de Montréal, Montreal, Canada.,Institut Philippe-Pinel de Montréal, Montreal, Canada.,Services et Recherches Psychiatriques AD, Montreal, Canada
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16
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du Sert OP, Potvin S, Lipp O, Dellazizzo L, Laurelli M, Breton R, Lalonde P, Phraxayavong K, O'Connor K, Pelletier JF, Boukhalfi T, Renaud P, Dumais A. Virtual reality therapy for refractory auditory verbal hallucinations in schizophrenia: A pilot clinical trial. Schizophr Res 2018; 197:176-181. [PMID: 29486956 DOI: 10.1016/j.schres.2018.02.031] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Revised: 01/30/2018] [Accepted: 02/18/2018] [Indexed: 11/18/2022]
Abstract
Schizophrenia is a chronic and severe mental illness that poses significant challenges. While many pharmacological and psychosocial interventions are available, many treatment-resistant schizophrenia patients continue to suffer from persistent psychotic symptoms, notably auditory verbal hallucinations (AVH), which are highly disabling. This unmet clinical need requires new innovative treatment options. Recently, a psychological therapy using computerized technology has shown large therapeutic effects on AVH severity by enabling patients to engage in a dialogue with a computerized representation of their voices. These very promising results have been extended by our team using immersive virtual reality (VR). Our study was a 7-week phase-II, randomized, partial cross-over trial. Nineteen schizophrenia patients with refractory AVH were recruited and randomly allocated to either VR-assisted therapy (VRT) or treatment-as-usual (TAU). The group allocated to TAU consisted of antipsychotic treatment and usual meetings with clinicians. The TAU group then received a delayed 7weeks of VRT. A follow-up was ensured 3months after the last VRT therapy session. Changes in psychiatric symptoms, before and after TAU or VRT, were assessed using a linear mixed-effects model. Our findings showed that VRT produced significant improvements in AVH severity, depressive symptoms and quality of life that lasted at the 3-month follow-up period. Consistent with previous research, our results suggest that VRT might be efficacious in reducing AVH related distress. The therapeutic effects of VRT on the distress associated with the voices were particularly prominent (d=1.2). VRT is a highly novel and promising intervention for refractory AVH in schizophrenia.
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Affiliation(s)
- Olivier Percie du Sert
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada; Department of Psychiatry, Faculty of Medicine, University of Montreal, Montreal, Canada; Institut Philippe-Pinel de Montréal, Montreal, Canada
| | - Stéphane Potvin
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada; Department of Psychiatry, Faculty of Medicine, University of Montreal, Montreal, Canada
| | - Olivier Lipp
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada; Department of Psychiatry, Faculty of Medicine, University of Montreal, Montreal, Canada
| | - Laura Dellazizzo
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada; Department of Psychiatry, Faculty of Medicine, University of Montreal, Montreal, Canada; Institut Philippe-Pinel de Montréal, Montreal, Canada
| | - Mélanie Laurelli
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada; Institut Philippe-Pinel de Montréal, Montreal, Canada
| | - Richard Breton
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada; Institut Philippe-Pinel de Montréal, Montreal, Canada
| | - Pierre Lalonde
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada; Department of Psychiatry, Faculty of Medicine, University of Montreal, Montreal, Canada
| | - Kingsada Phraxayavong
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada; Institut Philippe-Pinel de Montréal, Montreal, Canada
| | - Kieron O'Connor
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada; Department of Psychiatry, Faculty of Medicine, University of Montreal, Montreal, Canada
| | - Jean-François Pelletier
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada; Department of Psychiatry, Faculty of Medicine, University of Montreal, Montreal, Canada
| | | | - Patrice Renaud
- Department of Psychology, University of Quebec in Outaouais, Gatineau, Canada; Institut Philippe-Pinel de Montréal, Montreal, Canada
| | - Alexandre Dumais
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada; Department of Psychiatry, Faculty of Medicine, University of Montreal, Montreal, Canada; Institut Philippe-Pinel de Montréal, Montreal, Canada.
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Dellazizzo L, Potvin S, Phraxayavong K, Lalonde P, Dumais A. Avatar Therapy for Persistent Auditory Verbal Hallucinations in an Ultra-Resistant Schizophrenia Patient: A Case Report. Front Psychiatry 2018; 9:131. [PMID: 29713292 PMCID: PMC5911828 DOI: 10.3389/fpsyt.2018.00131] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 03/27/2018] [Indexed: 12/15/2022] Open
Abstract
Effective treatment strategies for schizophrenia remain very challenging and many treatment-resistant patients will suffer from persistent auditory verbal hallucinations (AVH). While clozapine is the gold-standard medication for this complex population, many will not respond to this molecule. For these ultra-resistant patients, limited options are available. Cognitive-behavioral therapy (CBT) is the most widely used psychological intervention, though it offers modest effects. With the interpersonal dimension of AVH being recognized, Avatar Therapy (AT), a novel experiential treatment enabling patients to create an avatar of their persecutor and allowing them to gain control over their symptoms, was developed and tested. Results have shown significant improvements in AVH symptomatology. This paper details a case report showcasing the beneficial results of AT for even the most severe and symptomatic cases of schizophrenia. Mr. Smith has been afflicted with the persistency of all his voices for almost 20 years. To our knowledge, this patient tried almost all possible treatments with little efficacy. This case highlights the difficulty of finding an adequate treatment for ultra-resistant patients. Mr. Smith first followed CBT before initiating AT. With AT, he significantly improved in a way that was not observed with any other intervention and these improvements remained afterward. The severity of his positive symptoms as well as his depressive symptoms diminished, and his most distressing persecutory voice disappeared. He was able to regain a life. The effects of AT went well beyond the patient, the morale of the entire family improved. This ultra-resistant case suggests that AT may be a promising intervention for refractory AVH in schizophrenia.
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Affiliation(s)
- Laura Dellazizzo
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC, Canada.,Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada.,Institut Philippe-Pinel de Montréal, Montreal, QC, Canada
| | - Stéphane Potvin
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC, Canada.,Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | | | - Pierre Lalonde
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC, Canada.,Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Alexandre Dumais
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC, Canada.,Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada.,Institut Philippe-Pinel de Montréal, Montreal, QC, Canada.,Services et Recherches Psychiatriques AD, Montreal, QC, Canada
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