Search

The objective of this paper is to discuss perceived clinical utility and impact on physician-patient relationship of a novel, artificial-intelligence (AI) enabled clinical decision support system (CDSS) for use in the treatment of adults with major depression. Patients had a baseline appointment, followed by a minimum of two appointments with the CDSS. For both physicians and patients, study exit questionnaires and interviews were conducted to assess perceived clinical utility, impact on patient-physician relationship, and understanding and trust in the CDSS. 17 patients consented to participate in the study, of which 14 completed. 86% of physicians (6/7) felt the information provided by the CDSS provided a more comprehensive understanding of patient situations and 71% (5/7) felt the information was helpful. 86% of physicians (6/7) reported the AI/predictive model was useful when making treatment decisions. 62% of patients (8/13) reported improvement in their care as a result of the tool. 46% of patients (6/13) felt the app significantly or somewhat improved their relationship with their physicians; 54% felt it did not change. 71% of physicians (5/7) and 62% of patients (8/13) rated they trusted the tool. Qualitative results are analyzed and presented. Findings suggest physicians perceived the tool as useful in conducting appointments and used it while making treatment decisions. Physicians and patients generally found the tool trustworthy, and it may have positive effects on physician-patient relationships.

ObjectiveWe examine the feasibility of an Artificial Intelligence (AI)-powered clinical decision support system (CDSS), which combines the operationalized 2016 Canadian Network for Mood and Anxiety Treatments guidelines with a neural-network based individualized treatment remission prediction.MethodsDue to COVID-19, the study was adapted to be completed entirely at a distance. Seven physicians recruited outpatients diagnosed with major depressive disorder (MDD) as per DSM-V criteria. Patients completed a minimum of one visit without the CDSS (baseline) and two subsequent visits where the CDSS was used by the physician (visit 1 and 2). The primary outcome of interest was change in session length after CDSS introduction, as a proxy for feasibility. Feasibility and acceptability data were collected through self-report questionnaires and semi-structured interviews.ResultsSeventeen patients enrolled in the study; 14 completed. There was no significant difference between appointment length between visits (introduction of the tool did not increase session length). 92.31% of patients and 71.43% of physicians felt that the tool was easy to use. 61.54% of the patients and 71.43% of the physicians rated that they trusted the CDSS. 46.15% of patients felt that the patient-clinician relationship significantly or somewhat improved, while the other 53.85% felt that it did not change.ConclusionsOur results confirm the primary hypothesis that the integration of the tool does not increase appointment length. Findings suggest the CDSS is easy to use and may have some positive effects on the patient-physician relationship. The CDSS is feasible and ready for effectiveness studies.

BACKGROUND Approximately two-thirds of patients with major depressive disorder do not achieve remission during their first treatment. There has been increasing interest in the use of digital, artificial intelligence–powered clinical decision support systems (CDSSs) to assist physicians in their treatment selection and management, improving the personalization and use of best practices such as measurement-based care. Previous literature shows that for digital mental health tools to be successful, the tool must be easy for patients and physicians to use and feasible within existing clinical workflows. OBJECTIVE This study aims to examine the feasibility of an artificial intelligence–powered CDSS, which combines the operationalized 2016 Canadian Network for Mood and Anxiety Treatments guidelines with a neural network–based individualized treatment remission prediction. METHODS Owing to the COVID-19 pandemic, the study was adapted to be completed entirely remotely. A total of 7 physicians recruited outpatients diagnosed with major depressive disorder according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria. Patients completed a minimum of one visit without the CDSS (baseline) and 2 subsequent visits where the CDSS was used by the physician (visits 1 and 2). The primary outcome of interest was change in appointment length after the introduction of the CDSS as a proxy for feasibility. Feasibility and acceptability data were collected through self-report questionnaires and semistructured interviews. RESULTS Data were collected between January and November 2020. A total of 17 patients were enrolled in the study; of the 17 patients, 14 (82%) completed the study. There was no significant difference in appointment length between visits (introduction of the tool did not increase appointment length; F2,24=0.805; mean squared error 58.08; P=.46). In total, 92% (12/13) of patients and 71% (5/7) of physicians felt that the tool was easy to use; 62% (8/13) of patients and 71% (5/7) of physicians rated that they trusted the CDSS. Of the 13 patients, 6 (46%) felt that the patient-clinician relationship significantly or somewhat improved, whereas 7 (54%) felt that it did not change. CONCLUSIONS Our findings confirm that the integration of the tool does not significantly increase appointment length and suggest that the CDSS is easy to use and may have positive effects on the patient-physician relationship for some patients. The CDSS is feasible and ready for effectiveness studies. CLINICALTRIAL ClinicalTrials.gov NCT04061642; http://clinicaltrials.gov/ct2/show/NCT04061642

Background Approximately two-thirds of patients with major depressive disorder do not achieve remission during their first treatment. There has been increasing interest in the use of digital, artificial intelligence–powered clinical decision support systems (CDSSs) to assist physicians in their treatment selection and management, improving the personalization and use of best practices such as measurement-based care. Previous literature shows that for digital mental health tools to be successful, the tool must be easy for patients and physicians to use and feasible within existing clinical workflows. Objective This study aims to examine the feasibility of an artificial intelligence–powered CDSS, which combines the operationalized 2016 Canadian Network for Mood and Anxiety Treatments guidelines with a neural network–based individualized treatment remission prediction. Methods Owing to the COVID-19 pandemic, the study was adapted to be completed entirely remotely. A total of 7 physicians recruited outpatients diagnosed with major depressive disorder according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria. Patients completed a minimum of one visit without the CDSS (baseline) and 2 subsequent visits where the CDSS was used by the physician (visits 1 and 2). The primary outcome of interest was change in appointment length after the introduction of the CDSS as a proxy for feasibility. Feasibility and acceptability data were collected through self-report questionnaires and semistructured interviews. Results Data were collected between January and November 2020. A total of 17 patients were enrolled in the study; of the 17 patients, 14 (82%) completed the study. There was no significant difference in appointment length between visits (introduction of the tool did not increase appointment length; F2,24=0.805; mean squared error 58.08; P=.46). In total, 92% (12/13) of patients and 71% (5/7) of physicians felt that the tool was easy to use; 62% (8/13) of patients and 71% (5/7) of physicians rated that they trusted the CDSS. Of the 13 patients, 6 (46%) felt that the patient-clinician relationship significantly or somewhat improved, whereas 7 (54%) felt that it did not change. Conclusions Our findings confirm that the integration of the tool does not significantly increase appointment length and suggest that the CDSS is easy to use and may have positive effects on the patient-physician relationship for some patients. The CDSS is feasible and ready for effectiveness studies. Trial Registration ClinicalTrials.gov NCT04061642; http://clinicaltrials.gov/ct2/show/NCT04061642

In 2006, following the shooting at Dawson College, the authorities implemented an intervention plan. This provided an opportunity to analyze the responses to services offered, and afforded a learning opportunity, which led to the proposal of an extensive multimodal short- and long-term psychological plan for future needs. Both quantitative and qualitative data were gathered 18 months after the event, involving the participation of 948 students and staff. Mental health problems and the perception of services offered after the shooting were investigated, using standardized measures. Second, focus groups and individual interviews were conducted among a subgroup of participants (support team members; teachers and employees; students and parents) and permitted to gather data on services received and services required. Individual report of events, the extent of psychological impact and services offered and received were analyzed in terms of the following dimensions: intervention philosophy, training, ongoing offer of services and finally, detection and outreach. A significant incidence of disorders and a high rate of exacerbation of preexisting mental disorders were observed within the 18 months following the shooting. Postimmediate and short-term intervention appeared adequate, but the long-term collective vision toward community support and availability of mental health services were lacking. Lessons learned from this evaluation and other school shootings suggest that preparedness and long-term community responses are often overlooked. A multimodal extensive plan is proposed based on a theoretical model from which interventions strategies could be drawn.

Outpatients with long-term psychotic disorders from two clinical case management programs were interviewed one-on-one to determine their satisfaction with specific aspects of such services. Patients answered standardized questionnaires and two open-ended satisfaction questions. The close follow-up provided by these programs led us to expect high patient satisfaction, and most patients were very satisfied with their clinical case managers. Lower functioning patients, followed by more intensive clinical case management, were equally satisfied to those followed by a less intensive program. However, many patients revealed dissatisfaction with explanations about clinical treatment and services.

Objectif: Examiner la documentation sur les reactions des personnes souffrant de grave maladie mentale (GMM) aux catastrophes naturelles, afin de decrire les repercussions du verglas de 1998 sur un groupe de patients souffrant de GMM et de presenter les mesures prises a un hopital universitaire canadien pour assurer la continuite de la prestation des services de sante mentale durant la crise. Methode : Les articles publies decrivant les repercussions des catastrophes naturelles sur les populations souffrant de GMM de meme que la prestation des services a ces patients ont fait l'objet d'un examen. On decrit egalement l'utilisation des services du departement de psychiatrie de l'Hopital general de Montreal (HGM). Un questionnaire sur les repercussions du verglas a ete administre a un groupe de patients participant a un programme de suivi intensif en equipe dans la communaute. Resultats : L'utilisation des services durant cette catastrophe naturelle correspondait a la description qu'en donne la documentation, c'est-a-dire que les patients n'etaient pas plus susceptibles d'etre hospitalises ou de visiter la salle d'urgence durant la crise. La prestation continue des services de sante mentale peut avoir contribue a ce resultat favorable. La prestation des services s 'est effectuee en assurant au personnel l'acces a l'information, en voyant a la securite tant des employes que des patients, et en adoptant une approche souple et axee sur l'action sociale. Conclusions : Les patients souffrant de GMM qui ont un acces continu aux services psychiatriques en situation de crise tendent a bien s'adapter. Une approche souple, proactive et intensive de la prestation de services durant les periodes de crise contribuera a faire en sorte que les besoins soient combles.

Outpatients with long-term psychotic disorders from two clinical case management programs were interviewed one-on-one to determine their satisfaction with specific aspects of such services. Patients answered standardized questionnaires and two open-ended satisfaction questions. The close follow-up provided by these programs led us to expect high patient satisfaction, and most patients were very satisfied with their clinical case managers. Lower functioning patients, followed by more intensive clinical case management, were equally satisfied to those followed by a less intensive program. However, many patients revealed dissatisfaction with explanations about clinical treatment and services.

Research in affective disorders has shown that there is a clear link between mood and light exposure, and that exposure to bright wide-spectrum light (phototherapy) may be an effective antidepressant treatment in some clinical situations. Cancer patients, especially those in the terminal phase of illness, have a high incidence of depression. Furthermore, their mobility is often severely reduced, resulting in little exposure to direct sunlight. We report the use of phototherapy in three terminally ill patients to alleviate symptoms of depression.

A case of psychogenic psychosis is presented. The effective use of sodium amytal as an aid in diagnosis and in treatment is described.

The authors review the literature on Capgras’ Syndrome and note that there has been little attempt to integrate the various etiological theories into a cohesive synthesis which accounts for both the organic and the psychodynamic theories. It is proposed that Capgras’ Syndrome represents a nonspecific symptom of regression to an early developmental stage characterized by archaic modes of thought, resulting from a relative activation of primitive brain centres. Thus, either psychological regression alone or organic disorders that compromise higher cerebral functioning may result in Capgras’ Syndrome. Two cases are presented for discussion and elaboration of these concepts.