Empathy is an important element of patient communication and is well operationalized in established approaches to one-on-one communication, such as motivational interviewing (MI). The accurate demonstration of empathy is especially important when seeking to facilitate a change in behavior, such as in lifestyle or diet, given these issues often involve psychological barriers versus knowledge deficits. Registered dietitians are a key licensed healthcare provider tasked with facilitating changes in diet, but the extent to which current educational standards in the United States (US) contribute to cultivation of empathy as a professional skill has not been systematically evaluated. The objective of this study was to characterize therapeutic empathy and communication among US dietetics students.

A cross-sectional survey-based study was conducted among US-based dietetics students, recruited via forwarded e-mail messages from directors of accredited programs. Personal characteristics and responses to the Helpful Responses Questionnaire (HRQ)- a validated measure of therapeutic empathy- were collected. All HRQ responses (6/participant) were reviewed and scored from 1 to 5 based on the use of reflections and communication roadblocks (1 = least empathetic, 5 = most empathetic) per established methods. One mean total HRQ score was computed per participant and precise roadblocks used were tabulated. Given the distribution of the final data set, a binary variable was created to capture whether participants had a total HRQ score of 1 or > 1. Logistic regression and chi-square tests were used to identify participant attributes associated with achieving scores > 1.

Participants (n = 506) were mostly white females (95.06% female, 79.05% white). The mean total HRQ score was 1.21 (SD: 0.47), with n = 175 participants (34.6%) achieving a mean total HRQ score > 1. Age, being married, having a previous non-nutrition-related career, or enrollment in a standalone internship were associated with HRQ score > 1 (P ≤ 0.001). The most common roadblock used was advising followed by using logic.

US-based dietetics students may not be consistently using empathetic communication, instead prioritizing problem-solving-oriented strategies (e.g., giving advice). Exploring optimal strategies to training that facilitate improved empathy, and the relative importance of empathy versus problem-solving strategies in facilitating behavior change, are important next steps. Further, the HRQ was successfully implemented, and its use should be replicated in other regions and populations.

The demands of any health education programme including nurse education would benefit from innovative ways to support students learning in an effective and efficient manner. Such approaches resonate particularly when caring for older people living with dementia, due to multifactorial manifestations of the condition, patients' difficulty in articulating their needs and the potential for negative care outcomes. Empathy is an important part of understanding dementia and is also recognised as a complex and multidimensional concept.

This study investigated the impact of undergraduate nursing students' 15-min use of the Experience Dementia in Singapore (EDIS) virtual reality app in their tutorial lesson for developing their empathy, changing their attitude and increasing their sensitivity for person-centred care of people with dementia.

We carried out content and thematic analysis of data anonymously collected via the in-class learning activities at the start and at the end of the lesson.

All participating students (n = 89, 89% response rate) achieved their learning goal to experience a first-person perspective and gain insights into needs and care for persons living with dementia. The results showed students transitioned from having mainly knowledge foremost in their mind, to more empathetic and care related thoughts when delivering care to persons living with dementia. The experience made more students aware of how they could communicate care, make environmental modifications to support and develop an attitude of person-centred care for persons living with dementia and their families. The analysis resulted in four themes: (1) immersive learning-walking in the shoes of the person living with dementia (2) feelings evoked from the first-person perspective (3) little things, big impact; little things, positive impact; and (4) communicating care.

The EDIS virtual reality app was an efficient and effective way for students to develop essential elements, especially empathy, as well as positive attitudes and sensitivity towards person-centred care for those living with dementia.

The first-hand experience the VR app offers allows students to challenge pre-conceived perceptions about older people and those living with dementia. As such, it is a versatile tool that can be incorporated into a variety of study and training programmes for students, professionals and caregivers who provide care or care solutions for persons living with dementia and their families.

Psychosocial pain self-management interventions can be of support for people living with chronic pain. Since psychosocial support is not always accessible, digital health interventions may increase outreach of these types of evidence-based interventions.

To explore participants' experiences from 12-month access to the digital pain self-management program EPIO, particularly in terms of any behavioral and/or psychological changes experienced.

Participants (N = 25) engaged in individual semi-structured interviews following 12-month access to the EPIO intervention. Qualitative thematic analyses were conducted seeking to identify any behavioral and/or psychological changes experienced through intervention use, and what contributed to these changes.

Participants were predominantly women (72%), median age 46 (range 26-70), with a range of self-reported pain conditions and the majority reporting pain duration >10 years (64%). Analyses identified three main themes and subsequent sub-themes: (1) Changes in Cognition; insight and self-awareness, acceptance and shifting focus, (2) Changes in Coping; pain, emotions, and activity pacing, and (3) Content and Functionality Specific Engagement; breathing and other mind-body exercises, thought-reflection exercises, and functionalities.

People with chronic pain experienced positive behavioral and/or psychological changes in terms of cognition and coping after 12 months access to the EPIO digital pain self-management program. The most prominent changes included increased understanding of the connection between own thoughts, feelings, and behavior, gaining concrete strategies to cope with everyday life living with pain, and utilizing these strategies to reduce pain and interference of pain, as well as to improve emotion regulation and psychological wellbeing.

This study examines if experiencing the sequence of primary maladaptive emotions followed by primary adaptive emotions in-session predicts therapeutic change and whether this sequence mediates the impact of therapist emotional reflections on outcomes at post-treatment and follow-up.

Nineteen participants with high self-criticism underwent 10-12 sessions of emotion-focused therapy (EFT). Therapist responses focusing on emotions, thoughts, and actions were coded for two sessions (sessions 6-12) during the initial 10 minutes prior to chair work. Clients' emotional states were coded using the Classification of Affective Meaning States (CAMS) during the subsequent chair work. Self-criticism and depression were measured at pre-treatment, post-treatment, and 3-month follow-up.

Primary maladaptive emotions and the transformational sequence (primary maladaptive followed by adaptive emotion) predicted reductions in self-criticism at post-treatment, with the transformational sequence also predicting improvements at follow-up. The impact of therapist focus on emotions on depression and self-criticism at post-treatment and follow-up was mediated by the transformational sequence.

The transformational sequence predicts therapeutic outcomes and mediates the impact of therapist responses focused on the client's emotion and therapeutic results. Implications for therapist training are discussed.

Empathic behavior is crucial in promoting positive social outcomes and strengthening interpersonal bonds. Research on how empathy modulates responses to others' emotions remains scarce yet is fundamental for elucidating mechanisms of impaired social functioning in psychopathology and its treatment.

Two ecological momentary assessment studies (Ns = 125 and 204) investigated participants' empathy and usage of interpersonal emotion regulation strategies in 5537 social interactions. We measured empathy, a multi-faceted construct, as dissected into its components of mentalizing and experience sharing in Study 1, while Study 2 additionally investigated empathic concern and personal distress.

Findings revealed that empathizers engage in significantly increased other-focused regulation, especially when feeling empathic concern. We also found differences in the strengths of the links between empathy and responses to others' emotions: When we mentalize, share others' emotions, or feel concerned, we choose more relationship-oriented strategies, including validation and soothing, and less cognitive reappraisal and avoidance to regulate others' emotions. In contrast, when personally distressed by others' emotions, we select more cognitive reappraisal and avoidance and less relationship-oriented strategies.

Both studies relied on regulator reports.

Empathy facets distinctly shape our responses to others' emotions and can make us increasingly emotionally responsive and relationship-oriented. Understanding these dynamics can enhance the treatment of affective disorders characterized by deficits in social functioning.

Evidence about the high burden of depression on society and the immediate environment of patients has accumulated over the past decades. Yet, empirical data about the impact of depression on the environment of psychotherapy are limited. The present study investigates the phenomenon of therapist responsiveness in the treatment of depression. Specifically, this qualitative study examines the influence of a client's severe depressive symptomatology on psychotherapists' immediate experience and reflections about interventions.

The responses of 26 Flemish psychotherapists and counselors to a questionnaire with open questions and as part of a focus group were investigated by using Consensual Qualitative Research methodology.

First, experiences with a negative valence were most common in the responses of the psychotherapists and counselors. A particular negative experience, a sense of "constriction", affecting the therapist's relational, cognitive, emotional, and bodily level of experiencing, was a predominant response. Second, most psychotherapists and counselors considered a therapeutic attitude of being present for the client and the different aspects in the client's experience to be crucial, although most of them experienced difficulty in maintaining an attitude of presence.

The results of this study suggest that exploration of the different aspects of the clients' experience and working with the self-split of the client might be essential in the psychotherapeutic treatment of depressive disorder.

People often want to know what their interaction partners are thinking. How accurate are they, what information do they use, what predicts how accurate they will be, and does accuracy matter? We organize our review of thought-feeling accuracy, defined as the accuracy of individuals' judgments about the content of another person's thoughts and feelings in live interaction, around these questions. At the same time, we argue that often people are especially interested in what others are thinking about them, such that research on the accuracy of individuals' metaperceptions regarding others' views of them is highly relevant to understanding thought-feeling accuracy more broadly construed. In particular, we maintain that systematic biases characterizing individuals' spontaneous metaperceptions are an important source of preventable and harmful forms of thought-feeling inaccuracy. We advocate for integration across the thought-feeling accuracy and meta-accuracy literatures so as to generate new insights that can move them both forward.

The present paper focuses on therapist responsiveness during the initial therapy session with clients with borderline personality disorder (BPD), aiming to analyze therapist responsiveness at short intervals during the initial session and determine if it can predict therapeutic alliance from both therapist and client viewpoints.

A sample of 47 clients participated in the study for 10 sessions of therapy. Therapeutic alliance from therapists' and clients' perspectives was rated after each session; external raters assessed therapist responsiveness during the initial session. Multiple linear regression models and linear mixed models with backward variable selection based on AIC were run to analyze whether specific therapist behaviors during session one predicted therapeutic alliance rated from therapists' and clients' perspectives.

The results indicate that therapists normalizing and validating clients' experiences during the first session are crucial for establishing therapeutic alliance for BPD clients; however, for therapists, the increase in variability of emotions verbalized by clients during the initial session negatively impacts therapeutic alliance.

The study contributes to further understand the impact of therapists' behavior at the beginning of therapy with BPD clients. Therapist responsiveness is crucial for therapy outcome but is methodologically challenging; therefore, efforts in this direction should be pursued.

This systematic qualitative review explored how psychotherapists use their self in therapy within the psychotherapy literature. It sought to examine the key documented ways through which the therapist's self is intentionally used in therapy and the process of using the therapist's self.

Following PRISMA guidelines, databases including PubMed, ProQuest, APA PsycArticles, and APA PsycINFO were searched. The review question "How do therapists use their self in therapy?" guided the search using derivative keywords. Of the 149 screened articles, 20 underwent full-text review, and only four studies met inclusion criteria.

All studies that met the inclusion criteria were from the West. Therapeutic self-disclosure (TSD) emerged as the primary way through which therapists used their self in therapy-notably, the only way documented in the studies reviewed. Studies discussed the nature, rationale, influencing factors, and effectiveness of TSD. This article elaborates upon the themes from the reviewed studies. It critically examines existing literature, lists avenues for future research, and discusses implications for psychotherapy practice.

The review underscores a significant gap in empirical qualitative research regarding therapists' use of their self beyond TSD in therapy. There is an urgent need for further exploration in this domain.

Consistently engaging with client distress can negatively impact mental health workers (MHWs). This has been described by the concept of empathy-based stress (EBS) (which encompasses burnout; secondary traumatic stress; compassion fatigue and vicarious trauma). Previous reviews of interventions to reduce EBS have not addressed MHWs as a distinct group, despite evidence suggesting they are particularly vulnerable to it. In the context of rising demand for mental health services, it is especially important to understand how to mitigate the impact of EBS on MHWS. This scoping review therefore aimed to identify and describe available interventions to reduce or prevent EBS in MHWs. A systematic scoping review of the literature between 1970 and 2022 was undertaken using five electronic databases. A total of 51 studies were included, which varied significantly with regards to: interventions used; study methodology and theoretical underpinnings. Studies were grouped according to the level at which they aimed to intervene, namely: individual; team or organisational. The review concluded that most studies intervened at the level of the individual, despite the proposed causes of EBS being predominantly organisational. Furthermore, theoretical links to the origins of EBS were largely unclear. This suggests a lack of empirical evidence from which organisations employing MHWs can draw, to meaningfully prevent or reduce EBS in their staff. A dedicated research agenda is outlined to address this, and, other pertinent issues in the field and signifies a call for more theoretically grounded research.

Psychotherapeutic competencies encompass a variety of skills that influence the work and therapeutic success of psychotherapists. In particular, interpersonal skills and the associated ability to react appropriately in complex therapy situations have already shown significant correlations with later therapeutic success. Strengthening interpersonal skills should therefore be a central aim of psychotherapy training. However, previous studies have shown that not only content learning is decisive for later learning success and skill development, but also the didactic method has a significant effect. Deliberate Practice and Structured Feedback have shown to be promising didactic tools. The primary objective of this study is to investigate the efficacy of Deliberate Practice and Structured Feedback as well as their combination in the context of psychotherapy training in comparison to classic didactic training. The trainees' learning progress of interpersonal skills and its influence on subsequent outpatient therapies will be examined. Secondary, the study aims to identify further determinants of trainees' therapeutic skills and to investigate the effects of ruptures on the course of therapy.

The underlying study, a randomized-control-trial with three intervention groups (Deliberate Practice, Structured Feedback, combination of both) and an active control group, will be conducted on a sample of N = 240 trainees and their patients (N = 1000). All trainees will each attend three consecutive workshops on "Strengthening therapeutic skills in challenging therapy situations", which will be carried out using the corresponding didactic tool. Scientific assessments will take place online for the trainees (pre, in-between, post, follow-up) and for the patients (after each therapy session for 24 weeks, follow-up). Primary outcomes will be constituted by the trainees' Facilitative Interpersonal Skills and the patients' symptoms. Multilevel as well as structural equation modelling will be used to analyze the data.

The study investigates the efficacy of different didactic tools regarding the strengthening of trainee's interpersonal competencies as well as their effects on subsequent therapies. Results of this study address a research gap concerning the improvement of psychotherapy training as well as the quality assurance of future therapies.

German Clinical Trial Register (DRKS) - DRKS00034279; retrospectively registered.

The relationship between patients and mental health professionals is the cornerstone of all mental health treatment, and good patient-professional relationships are associated with several positive therapeutic outcomes for patients with mental health challenges. Mental health professionals' relational competence is essential for high-quality services in mental healthcare. There is currently no unified understanding of the concept of relational competence. This study seeks to address this gap by exploring how relational competence is conceptualized within the context of mental healthcare. The research question was: How is relational competence described in the research literature within the context of mental healthcare?

An integrative review was conducted with systematic searches in the databases PsycInfo, Ovid Medline, Embase, CINAHL, ERIC, Academic Search Elite, IDUN, and Svemed+, spanning from January 2012 to October 2023, as well as hand searches in the reference lists of the included studies. A thematic synthesis was carried out based on the results in the included studies.

Out of 2970 scientific studies screened, 30 were included, employing a variety of research methodologies to explore relational competence within mental healthcare. Four themes were found to describe relational competence in mental healthcare: having the ability to self-reflect and self-regulate, having a genuine interest in understanding the patient, engaging in reciprocal interaction with the patient, and meeting the patient so that they feel acknowledged. Each theme describes a central and important part of relational competence, but fully developed relational competence must be understood as a whole in which all the themes are present.

Relational competence in mental healthcare incorporates all the identified components. Each theme complements the others and contributes to the construction of a strong therapeutic relationship between patients and mental health professionals. To provide the best possible care for mentally ill patients, healthcare professionals must embrace and integrate these elements into their practice.

Digital health interventions specifically those realized as chatbots are increasingly available for mental health. They include technologies based on artificial intelligence that assess user's sentiment and emotions for the purpose of responding in an empathetic way, or for treatment purposes, e.g. for analyzing the expressed emotions and suggesting interventions.

In this paper, we study the ethical dimensions of integrating these technologies in chatbots for depression intervention using the digital ethics canvas and the DTx Risk Assessment Canvas.

As result, we identified some specific risks associated with the integration of sentiment and emotion analysis methods into these systems related to the difficulty to recognize correctly the expressed sentiment or emotion from statements of individuals with depressive symptoms and the appropriate system reaction including risk detection. Depending on the realization of the sentiment or emotion analysis, which might be dictionary-based or machine-learning based, additional risks occur from biased training data or misinterpretations.

While technology decisions during system development can be made carefully depending on the use case, other ethical risks cannot be prevented on a technical level, but by carefully integrating such chatbots into the care process allowing for supervision by health professionals. We conclude that a careful reflection is needed when integrating sentiment and emotion analysis into chatbots for depression intervention. Balancing risk factors is key to leveraging technology in mental health in a way that enhances, rather than diminishes, user autonomy and agency.

Empathy as a central element of social cognition plays a decisive role in various psychosocial areas and interpersonal dynamics, especially within the context of psychotherapy. Despite the controversy surrounding a standardized definition, empathy is generally regarded as a multidimensional concept that encompasses both cognitive and affective dimensions. This differentiation between cognitive and affective facets is addressed by a widely used and internationally well-established self-report measure of empathy, the Questionnaire of Cognitive and Affective Empathy (QCAE). This study focuses on evaluating the psychometric properties of the German version of the QCAE. In a convenience sample (N=1300), the postulated confirmatory five-factor model showed an adequate fit to the underlying structure. The subscales of the QCAE exhibited satisfactory internal consistency and convergent validity with other instruments measuring empathy. Despite certain methodological limitations, our findings suggest that the German version of the QCAE is suitable as a reliable and valid instrument for measuring empathy. Further studies in population-representative samples and clinical populations are required before a clear recommendation regarding its utilization can be provided.

The purpose of this study is to examine therapeutic responsiveness across three different therapeutic models. The construct of responsiveness consists of two conceptual features: optimal responsiveness, which involves adapting therapist behavior to the unique therapeutic relationship, and appropriate responsiveness, a more refined concept. While aligned with interpersonal principles, the responsiveness construct challenges prevailing statistical methods by emphasizing the therapist's adaptive responses. A comparative analysis of Gestalt, psychodynamic, and systemic therapies revealed unique patterns of responsiveness within each model, ranging from an emphasis on empathy and intuition to the significance of countertransference. Methodologically, a literature review and textual analysis using Atlas.ti allowed for nuanced exploration. The results also revealed a core commonality-"experience"-across these models, positioning responsiveness as an "extra-specific" factor amidst shared conceptual ground. In conclusion, this study sheds light on the nuances of responsiveness, which is central to advancing psychotherapeutic practice in an evolving landscape. An in-depth examination of the construct of responsiveness helps identify therapist characteristics that can be enhanced, enriched, and supported during training and supervision.

Oxytocin, popularly known as the "social hormone", has wide implications for the regulation of socially relevant cognitions, emotions and behaviors. Individual differences in oxytocin may be relevant to mental health treatment outcomes, given the centrality of the therapeutic relationship in psychotherapy.

This systematic review aimed to synthesize findings from psychotherapy studies that examined oxytocin measurement and augmentation methods and their association with treatment outcomes. The methodology was preregistered in the Open Science Framework (https://osf.io/xtyvc/?view_only=2bc37dc0b2cd41f8939e2964bd8b884f). Five databases were searched on 30th of March 2023 (PubMed, SCOPUS, Web of Science, Medline, PsycINFO). Eligible studies were assessed for risk of bias and findings were summarized using narrative synthesis and vote counting methods.

Overall, 24 studies (n=881 participants) including experimental and observational designs and covering various diagnostic groups were reviewed. Findings from 9 studies (n=406) indicate that oxytocin measures were associated with psychotherapy treatment outcomes for depression, and oxytocin-augmentation improved depression outcomes. Results regarding other mental disorders were mixed and inconclusive.

Current evidence indicates that oxytocin-augmented psychotherapy for depression warrants further research. Currently there is not sufficient evidence to draw firm conclusions regarding the clinical relevance of oxytocin in the context of other disorders. Key limitations are the lack of meta-analytic synthesis and small sample sizes for primary studies.

The demand for mental health (MH) services in the community continues to exceed supply. At the same time, technological developments make the use of artificial intelligence-empowered conversational agents (CAs) a real possibility to help fill this gap.

The objective of this review was to identify existing empathic CA design architectures within the MH care sector and to assess their technical performance in detecting and responding to user emotions in terms of classification accuracy. In addition, the approaches used to evaluate empathic CAs within the MH care sector in terms of their acceptability to users were considered. Finally, this review aimed to identify limitations and future directions for empathic CAs in MH care.

A systematic literature search was conducted across 6 academic databases to identify journal articles and conference proceedings using search terms covering 3 topics: "conversational agents," "mental health," and "empathy." Only studies discussing CA interventions for the MH care domain were eligible for this review, with both textual and vocal characteristics considered as possible data inputs. Quality was assessed using appropriate risk of bias and quality tools.

A total of 19 articles met all inclusion criteria. Most (12/19, 63%) of these empathic CA designs in MH care were machine learning (ML) based, with 26% (5/19) hybrid engines and 11% (2/19) rule-based systems. Among the ML-based CAs, 47% (9/19) used neural networks, with transformer-based architectures being well represented (7/19, 37%). The remaining 16% (3/19) of the ML models were unspecified. Technical assessments of these CAs focused on response accuracies and their ability to recognize, predict, and classify user emotions. While single-engine CAs demonstrated good accuracy, the hybrid engines achieved higher accuracy and provided more nuanced responses. Of the 19 studies, human evaluations were conducted in 16 (84%), with only 5 (26%) focusing directly on the CA's empathic features. All these papers used self-reports for measuring empathy, including single or multiple (scale) ratings or qualitative feedback from in-depth interviews. Only 1 (5%) paper included evaluations by both CA users and experts, adding more value to the process.

The integration of CA design and its evaluation is crucial to produce empathic CAs. Future studies should focus on using a clear definition of empathy and standardized scales for empathy measurement, ideally including expert assessment. In addition, the diversity in measures used for technical assessment and evaluation poses a challenge for comparing CA performances, which future research should also address. However, CAs with good technical and empathic performance are already available to users of MH care services, showing promise for new applications, such as helpline services.

The impact of depth of elaboration in individual psychotherapy sessions on overall treatment effectiveness was found in the empirical literature. In the best sessions, relevant content is processed with greater depth; in contrast, in the shallower sessions, the emerging content is more superficial. Evidence suggests that achieving a high level of depth is closely related to specific therapist characteristics and relational dimensions (including clinicians' emotional responses to patients). The present study aimed to (a) compare therapist responsiveness and countertransference patterns in psychotherapy sessions with different levels of depth of elaboration; and (b) examine if the positive countertransference pattern mediated the relationship between therapist responsiveness and depth of elaboration.

Eighty-four clinicians were asked to select one patient with personality disorders in their care and complete the Depth Scale of the Session Evaluation Questionnaire, the Patient's Experience of Attunement and Responsiveness Scale, and the Therapist Response Questionnaire concerning one of their sessions.

The results showed that sessions with higher levels of depth of elaboration were characterized by greater therapist responsiveness and more positive countertransference. Conversely, poor therapist responsiveness and hostile/angry, disengaged, and helpless/inadequate countertransference responses were found in shallower sessions. Moreover, positive countertransference mediated the relationship between therapist responsiveness and depth of elaboration.

This study sought to shed light on the processes underlying the outcomes of psychotherapeutic sessions, highlighting the strong impact of relational factors. Advancing knowledge of these mechanisms seems crucial to identifying the active ingredients of the therapeutic process and understanding what (does not) promote successful outcomes.

Since the outbreak of the COVID-19 pandemic, remote healthcare delivery by technological devices has become a growing practice. It represented an unprecedented change in personal and professional activities, allowing health specialists to continue working online by assisting their patients from home. Psychological practice greatly benefited from this innovation, guaranteeing diagnostic and therapeutic effectiveness through cyber counseling. However, in many countries there have been no enactments of specific laws nor adaptations of the professional deontological code aimed at regulating this new psychological practice dimension, generally defined as telepsychology. This article aims to briefly review the scientific literature on this tool's effectiveness and especially analyze the legal and operational framework in which telepsychology has been to date practiced in Italy and other national realities, thus providing a global overview that may be useful to understand how to improve this valuable but still immature practice.

The coronavirus pandemic exposed to short- and long-term increase in psychological and psychiatric imbalances.Cyber counseling has been proven to be effective to treat a wide range of psychological disorders.Many of the current national and international legislations concerning the telepsychology practice are still immature. Ad hoc legal frameworks are required for each national context to guarantee a safe and effective cyber counseling delivery.

The aim of this study was to evaluate the interRAI Trauma-Informed Care (TIC) training program based on evidence-informed Collaborative Action Plans. Focus groups and the Attitude Related Trauma-Informed Care (ARTIC) questionnaire addressed clinicians' and mental health professionals' attitudes toward the application of TIC with their child and youth clients. An explanatory sequential design was conducted. In total, 105 clinicians and mental health professionals who participated in a 4-hour, in-person or virtual TIC training, two comprehensive seminars, and 28 trauma-informed training web-based modules completed the ARTIC questionnaire. Researchers conducted seven focus groups with clinicians/participants (N = 23) to discuss the views and effectiveness of the interRAI TIC educational training modules. To quantitatively measure the change of attitudes towards TIC, descriptive statistical analysis was completed using the means and standard deviation of the ARTIC scores at the initial time point, the follow-up time point, and the difference between scores at both time points. Paired sample t-tests were conducted on both the overall score and each of the subscales in each of the three samples (total sample, online subsample, and hybrid subsample). A thematic analysis was conducted to generate qualitative findings from the focus groups. Findings from the quantitative and qualitative analyses suggest that the interRAI TIC training provided clinicians with an improved sense of knowledge and ability to apply trauma-informed care planning with their clients.

The role of the therapist has received growing attention in psychotherapy research, suggesting that training effectiveness may also depend on the person of the trainees, with relevant implications in terms of candidate selection or tailoring training to the person. In the present study, we focused on how and how much psychotherapy training can be effective in fostering trainees' characteristics associated with successful therapists and contrast trainees' characteristics that could represent limitations as therapists. The aim was to explore training program directors' perspectives on individual trainees' limitations and strengths, and on the effectiveness of training in shaping successful therapists. To this aim, we interviewed 14 training program directors with different psychotherapy approaches. Audio recordings of these semi-structured interviews were transcribed verbatim and analysed using NVivo software. According to our findings, transversally to different psychotherapy approaches, trainees' self-awareness and the ability to embrace uncertainty were recognized as the main characteristics of good trainees. Four training elements were fre- quently mentioned by directors as effective in shaping trainees' development: experiential learning, the use of paradigm that pri- oritizes self-awareness (instead of technique-focused approaches), the centrality of supervision and inter-vision, the trainer-trainee relationship. These insights highlight the importance of trainees' self-awareness and the ability to embrace uncertainty as potential personal variables that may influence the effectiveness of future psychotherapists and suggest giving attention to experiential learning and training relationships as crucial elements of psychotherapists' development during the training.

Treating patients with eating disorders can be challenging for therapists, as it requires the establishment of a strong therapeutic relationship. According to the literature, therapist characteristics may influence intervention outcomes. The aim of this systematic review was to identify and synthesize existing literature on therapist interpersonal characteristics that could affect psychotherapy relationship or outcomes in the context of eating disorder treatment from both patients' and therapists' perspectives. We conducted a systematic search using electronic databases and included both qualitative and quantitative studies from 1980 until July 2023. Out of the 1230 studies screened, 38 papers met the inclusion criteria and were included in the systematic review. The results indicate that patients reported therapist's warmth, empathic understanding, a supportive attitude, expertise in eating disorders, and self-disclosure as positive characteristics. Conversely, a lack of empathy, a judgmental attitude, and insufficient expertise were reported as therapist negative characteristics, which could have a detrimental impact on treatment outcome. Few studies have reported therapist's perceptions of their own personal characteristics which could have an impact on treatment. Therapists reported that empathy and supportiveness, optimism, and previous eating disorder experience were positive characteristics. Conversely, clinician anxiety, a judgmental attitude, and a lack of objectivity were reported as negative characteristics that therapists felt could hinder treatment. This systematic review offers initial evidence on the personal characteristics of therapists that may affect the treatment process and outcomes when working with patients with eating disorders.

Large language model (LLM)-powered services are gaining popularity in various applications due to their exceptional performance in many tasks, such as sentiment analysis and answering questions. Recently, research has been exploring their potential use in digital health contexts, particularly in the mental health domain. However, implementing LLM-enhanced conversational artificial intelligence (CAI) presents significant ethical, technical, and clinical challenges. In this viewpoint paper, we discuss 2 challenges that affect the use of LLM-enhanced CAI for individuals with mental health issues, focusing on the use case of patients with depression: the tendency to humanize LLM-enhanced CAI and their lack of contextualized robustness. Our approach is interdisciplinary, relying on considerations from philosophy, psychology, and computer science. We argue that the humanization of LLM-enhanced CAI hinges on the reflection of what it means to simulate "human-like" features with LLMs and what role these systems should play in interactions with humans. Further, ensuring the contextualization of the robustness of LLMs requires considering the specificities of language production in individuals with depression, as well as its evolution over time. Finally, we provide a series of recommendations to foster the responsible design and deployment of LLM-enhanced CAI for the therapeutic support of individuals with depression.

Internet-based cognitive behavioral therapy (iCBT) offers a scalable, cost-effective, accessible, and low-threshold form of psychotherapy. Recent advancements explored the use of conversational agents such as chatbots and voice assistants to enhance the delivery of iCBT. These agents can deliver iCBT-based exercises, recognize and track emotional states, assess therapy progress, convey empathy, and potentially predict long-term therapy outcome. However, existing systems predominantly utilize categorical approaches for emotional modeling, which can oversimplify the complexity of human emotional states. To address this, we developed a transformer-based model for dimensional text-based emotion recognition, fine-tuned with a novel, comprehensive dimensional emotion dataset comprising 75,503 samples. This model significantly outperforms existing state-of-the-art models in detecting the dimensions of valence, arousal, and dominance, achieving a Pearson correlation coefficient of r = 0.90, r = 0.77, and r = 0.64, respectively. Furthermore, a feasibility study involving 20 participants confirmed the model's technical effectiveness and its usability, acceptance, and empathic understanding in a conversational agent-based iCBT setting, marking a substantial improvement in personalized and effective therapy experiences.

Recent breakthroughs in artificial intelligence (AI) language models have elevated the vision of using conversational AI support for mental health, with a growing body of literature indicating varying degrees of efficacy. In this paper, we ask when, in therapy, it will be easier to replace humans and, conversely, in what instances, human connection will still be more valued. We suggest that empathy lies at the heart of the answer to this question. First, we define different aspects of empathy and outline the potential empathic capabilities of humans versus AI. Next, we consider what determines when these aspects are needed most in therapy, both from the perspective of therapeutic methodology and from the perspective of patient objectives. Ultimately, our goal is to prompt further investigation and dialogue, urging both practitioners and scholars engaged in AI-mediated therapy to keep these questions and considerations in mind when investigating AI implementation in mental health.

Objective Video-based therapy has been used increasingly since the onset of the COVID-19 pandemic. Yet, video-based initial psychotherapeutic contact can be problematic due to the limitations of computer-mediated communication. At present, little is known about the effects of video first contact on important psychotherapeutic processes. Method: Forty-three individuals (nvideo = 18, nface-to-face = 25) were recruited via an outpatient clinic waiting list and were randomly assigned to video or face-to-face initial psychotherapeutic sessions. Participants rated treatment expectancy before and after the session, and the therapist's empathy, working alliance, and credibility after the session and several days later. Results: Empathy and working alliance ratings of patients and therapists were high and did not differ between the two communication conditions after the appointment or at follow-up. Treatment expectancy increased to a similar extent for the video and face-to-face modalities from pre to post. Willingness to continue with video-based therapy increased in participants who had video contact, but not in those with face-to-face contact. Conclusion: This study indicates that crucial processes related to the therapeutic relationship can be initiated via video, without prior face-to-face contact. Given the limited nonverbal communication cues in video appointments, it remains unclear as to how such processes evolve.Trial registration: German Clinical Trials Register identifier: DRKS00031262..

Building therapeutic relationships and social presence are challenging in digital services and maybe even more difficult in written services. Despite these difficulties, in-person care may not be feasible or accessible in all situations.

This study aims to categorize crisis counselors' efforts to build rapport in written conversations by using deidentified conversation transcripts from the text and chat arms of the National Child Abuse Hotline. Using these categories, we identify the common characteristics of successful conversations. We defined success as conversations where help-seekers reported the hotline was a good way to seek help and that they were a lot more hopeful, a lot more informed, a lot more prepared to address the situation, and experiencing less stress, as reported by help-seekers.

The sample consisted of transcripts from 314 purposely selected conversations from of the 1153 text and chat conversations during July 2020. Hotline users answered a preconversation survey (ie, demographics) and a postconversation survey (ie, their perceptions of the conversation). We used qualitative content analysis to process the conversations.

Active listening skills, including asking questions, paraphrasing, reflecting feelings, and interpreting situations, were commonly used by counselors. Validation, unconditional positive regard, and evaluation-based language, such as praise and apologies, were also often used. Compared with less successful conversations, successful conversations tended to include fewer statements that attend to the emotional dynamics. There were qualitative differences in how the counselors applied these approaches. Generally, crisis counselors in positive conversations tended to be more specific and tailor their comments to the situation.

Building therapeutic relationships and social presence are essential to digital interventions involving mental health professionals. Prior research demonstrates that they can be challenging to develop in written conversations. Our work demonstrates characteristics associated with successful conversations that could be adopted in other written help-seeking interventions.

Acceptance and commitment therapy (ACT) is a relatively new type of psychotherapy effective for treating depression and anxiety amongst family care partners of persons living with dementia [PLWD]. However, care partner engagement in mental health services is low and specific guidelines for designing ACT programs for care partners of PLWD do not exist. The purpose of this scoping review was to examine patterns in care partner engagement in ACT programs to identify program factors potentially influencing engagement.

A comprehensive scoping review according to Arksey and O'Malley's framework was followed. Databases and grey literature were searched for primary studies of ACT programs with care partners of PLWD. Data were charted and synthesized.

Ten studies met inclusion criteria and were analyzed. Amongst these, engagement was highest in three ACT programs that were delivered individually, remotely and were therapist-led or supported. Conversely, engagement was the lowest in two ACT programs that were self-directed, web-based and had minimal or no care partner-therapist interaction. Program factors perceived as influencing engagement included tailoring and personalization, mode of delivery and format, therapeutic support and connectedness, program duration and pace.

Findings from this review suggest that care partners engagement may be promoted by designing ACT programs that focus on the therapeutic client-therapist relationship, are delivered remotely and individually. Future research should focus on evaluation of best implementation practices for engagement and effectiveness.

This study examined therapists' dispositional empathy profiles and how they differ based on professional and personal characteristics.

A total of 376 clinicians was recruited for this study. Dispositional empathy was assessed with the Interpersonal Reactivity Index (IRI). Profiles were generated using latent profile analysis. Predictors of profiles were assessed with multiple self-report questionnaires measuring demographic and professional characteristics, romantic attachment styles, five-factor personality traits and vulnerable narcissism.

A four-profile solution was retained with the following proportions: rational empathic (20%), disengaged/detached (10%), empathic immersion (35%) and insecure/self-absorbed (35%). Overall, few relationships were found regarding demographic and professional characteristics. In contrast, significant relationships were found between profile membership and personal characteristics, including avoidant and anxious attachment, agreeableness, conscientiousness, neuroticism, intellect/imagination and vulnerable narcissism.

The findings show that differences in therapists' empathic dispositions are linked to personality dimensions. Implications for psychotherapy research, practice and training are discussed.

Augmented patient-practitioner interactions that enhance therapeutic alliance can increase the placebo effect to sham treatment. Little is known, however, about the effect of these interactions on maladaptive health outcomes (i.e., the nocebo effect). Healthy participants (N = 84) were randomised to a 3-day course of Oxytocin nasal drops (actually, sham treatment) in conjunction with a high-warmth interaction (Oxy-HW: N = 28), a low-warmth interaction (Oxy-LW: N = 28) or to a no treatment control group (NT: N = 28). All participants were informed that the Oxytocin treatment could increase psychological well-being but was associated with several potential side effects. Treatment-related side effects, unwarned symptoms, and psychological well-being were measured at baseline and all post-treatment days. Side effect reporting was increased in the Oxy-LW condition compared to the other groups across all days. Conversely, increased psychological well-being was observed in the Oxy-HW condition, relative to the other conditions, but only on Day 1. Among those receiving treatment, positive and negative expectations, and treatment-related worry, did not vary by interaction-style, while psychological well-being and side effect reporting were inversely associated at the level of the individual. Results have important implications for practice, suggesting poorer quality interactions may not only reduce beneficial health outcomes but also exacerbate those that are maladaptive.

Clinician burnout has been associated with clinician outcomes, but the association with patient outcomes remains unclear.

To evaluate the association between clinician burnout and the outcomes of patients receiving of guideline-recommended trauma-focused psychotherapies for posttraumatic stress disorder (PTSD).

This cohort study was set at the US Veterans Affairs Health Care System and included licensed therapists who provided trauma-focused psychotherapies and responded to an online survey between May 2 and October 8, 2019, and their patients who initiated a trauma-focused therapy during the following year. Patient data were collected through December 31, 2020. Data were analyzed from May to September 2023.

Therapists completing the survey reported burnout with a 5-point validated measure taken from the Physician Worklife Study. Burnout was defined as scores of 3 or more.

The primary outcome was patients' clinically meaningful improvement in PTSD symptoms according to the PTSD Checklist for the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition). Patient dropout, therapist adherence, and session spacing was assessed through electronic health records. Multivariable random-effects logistic regression examined the association of therapist burnout and clinically meaningful improvement, adjusted for case-mix.

In this study, 165 of 180 (91.7%) therapists (89 [53.9%] female) completed the burnout measure and provided trauma-focused psychotherapies to 1268 patients (961 [75.8%] male) with outcome data. Fifty-eight (35.2%) therapists endorsed burnout. One third of patients (431 [34.0%]) met criterion for clinically meaningful improvement. Clinically meaningful improvement in PTSD symptoms was experienced by 120 (28.3%) of the 424 patients seen by therapists who reported burnout and 311 (36.8%) of the 844 patients seen by therapists without burnout. Burnout was associated with lower odds of clinically meaningful improvement (adjusted odds ratio [OR],0.63; 95% CI, 0.48-0.85). The odds of clinically meaningful improvement were reduced for patients who dropped out (OR, 0.15; 95% CI, 0.11-0.20) and had greater session spacing (OR, 0.80; 95% CI, 0.70-0.92). Therapist adherence was not associated with therapy effectiveness. Adjusting for dropout or session spacing did not meaningfully alter the magnitude of the association between burnout and clinically meaningful improvement.

In this prospective cohort study, therapist burnout was associated with reduced effectiveness of trauma-focused psychotherapies. Studying when and how burnout affects patient outcomes may inform workplace interventions.

There is little research on group process for motivational interviewing-based group interventions with young people. We examine how change talk, group climate and cohesion, and facilitator empathy among emerging adults experiencing homelessness affect their drinking outcomes.

Data come from a clinical trial at three drop-in centers serving emerging adults experiencing homelessness in Los Angeles County and focus on those who received the intervention (n = 132). Participants completed baseline, 3-, 6-, and 12-month follow-up surveys. They were predominantly male and non-white. Group sessions were digitally recorded and coded for percentage change talk (PCT), group climate and cohesion, and facilitator empathy.

Because baseline alcohol use was significantly higher at site 1 than sites 2 and 3, we examined associations separately by site. At 6 months, higher PCT was associated with fewer drinks per drinking day for sites 2 and 3, whereas higher PCT was associated with more drinks per drinking day for site 1. There were no effects of PCT at 12 months. Higher group cohesion scores were associated with fewer drinking days at 6 months; higher facilitator empathy was associated with fewer maximum drinks in a day at both 6 and 12 months. Group climate was not associated with drinking outcomes.

These findings highlight the importance of measuring multiple factors in the group process to understand outcomes. What is "uttered" during group and what is observed provide different methods to evaluate the group process and allow us to better bridge the gap between research and practice.

A considerable number of clients report adverse or unwanted effects of psychological treatments. This study aimed to synthesize the findings of qualitative studies focused on what clients perceive as negative experiences in psychotherapy.

A database search was conducted to find primary studies, and a qualitative meta-analysis was used to aggregate the findings on the kinds of negative experiences psychotherapy clients reported.

A total of 936 statements were extracted from 51 primary studies and categorized into 21 meta-categories, some of which were further divided into subcategories. These meta-categories covered clients' experiences, which fell into four broad clusters: therapists' misbehaviour, hindering aspects of the relationship, poor treatment fit, and negative impacts of treatment.

Clients' negative experiences of psychotherapy are a vast and heterogeneous area, the breadth of which is not captured by any single study. By synthesizing the findings of many primary studies, this meta-analysis represents the most comprehensive summary of these experiences to date.

Treatment integrity is defined as the extent to which the treatment has been implemented according to a specific theoretical model. It consists of two components: adherence, that is, the degree to which the therapist implements the techniques prescribed by the theoretical model, and competence, that is, the degree to which the therapist skilfully and appropriately implements the techniques prescribed by the model. Recently, the issue of integrity is gaining increasing importance in psychotherapy research, especially in an attempt to clarify its role in influencing the effectiveness of treatments. However, most studies focus on the individual setting. Therefore, this systematic review aims at investigating the relationship between integrity and outcome in group clinical treatments. Results highlighted a positive relationship between group treatment integrity and outcome. Moreover, this review provided insights for implications for research, clinical practice, and training of therapists, identifying questions that still need to be answered and tracing possible future research directions.

Use of asynchronous text-based counseling is rapidly growing as an easy-to-access approach to behavioral health care. Similar to in-person treatment, it is challenging to reliably assess as measures of process and content do not scale.

To use machine learning to evaluate clinical content and client-reported outcomes in a large sample of text-based counseling episodes of care.

In this quality improvement study, participants received text-based counseling between 2014 and 2019; data analysis was conducted from September 22, 2022, to November 28, 2023. The deidentified content of messages was retained as a part of ongoing quality assurance. Treatment was asynchronous text-based counseling via an online and mobile therapy app (Talkspace). Therapists were licensed to provide mental health treatment and were either independent contractors or employees of the product company. Participants were self-referred via online sign-up and received services via their insurance or self-pay and were assigned a diagnosis from their health care professional.

All clients received counseling services from a licensed mental health clinician.

The primary outcomes were client engagement in counseling (number of weeks), treatment satisfaction, and changes in client symptoms, measured via the 8-item version of Patient Health Questionnaire (PHQ-8). A previously trained, transformer-based, deep learning model automatically categorized messages into types of therapist interventions and summaries of clinical content.

The total sample included 166 644 clients treated by 4973 therapists (20 600 274 messages). Participating clients were predominantly female (75.23%), aged 26 to 35 years (55.4%), single (37.88%), earned a bachelor's degree (59.13%), and were White (61.8%). There was substantial variability in intervention use and treatment content across therapists. A series of mixed-effects regressions indicated that collectively, interventions and clinical content were associated with key outcomes: engagement (multiple R = 0.43), satisfaction (multiple R = 0.46), and change in PHQ-8 score (multiple R = 0.13).

This quality improvement study found associations between therapist interventions, clinical content, and client-reported outcomes. Consistent with traditional forms of counseling, higher amounts of supportive counseling were associated with improved outcomes. These findings suggest that machine learning-based evaluations of content may increase the scale and specificity of psychotherapy research.

Nurses in intensive care units (ICUs) face high levels of stress and emotional challenges, making it essential to understand the factors that influence their professional quality of life (ProQoL). This study aimed to investigate the relationship between work environment factors and ProQoL, particularly focusing on burnout, compassion satisfaction, and secondary traumatic stress, among ICU nurses. The Professional Quality of Life (ProQoL) Scale was used to measure these aspects, with an emphasis on the importance of a supportive work environment for enhancing staff well-being and organizational performance. This cross-sectional study was conducted between March and August 2024, involving 162 ICU nurses from hospitals in the southern West Bank. A stratified random sampling method was employed to ensure representativeness. Data collection involved surveys covering socio-demographic information, the Practice Environment Scale-Nursing Work Index (PES-NWI), and the ProQoL scale. Statistical analyses, including descriptive statistics and Pearson correlation, were performed using SPSS. The participants were predominantly young, with 61.7% less than 30 years old, and 65.4% were male. Most held a bachelor's degree (54.9%). The survey indicated that the majority reported average levels of compassion satisfaction (90.7%), burnout (91.4%), and secondary traumatic stress (85.2%). The analysis showed that a moderately positive practice environment was significantly associated with lower levels of burnout and higher levels of compassion satisfaction. Additionally, there was a significant difference in mean Compassion Satisfaction scores according to sleep hours (F = 5.475, P < .05). Nurses who slept more than 8 h had significantly higher Compassion Satisfaction compared to those who slept less than 8 h or exactly 8 h (P < .05). ICU nurses generally perceived their work environment positively, though there are opportunities to improve their professional quality of life, particularly by addressing burnout. The findings highlight the need for targeted interventions and further research to enhance job satisfaction and well-being among ICU nurses.

The ability to recognize and work with patients' emotions is considered an important part of most psychotherapy approaches. Surprisingly, there is little systematic research on psychotherapists' ability to recognize other people's emotional expressions. In this study, we compared trainee psychotherapists' nonverbal emotion recognition accuracy to a control group of undergraduate students at two time points: at the beginning and at the end of one and a half years of theoretical and practical psychotherapy training. Emotion recognition accuracy (ERA) was assessed using two standardized computer tasks, one for recognition of dynamic multimodal (facial, bodily, vocal) expressions and one for recognition of facial micro expressions. Initially, 154 participants enrolled in the study, 72 also took part in the follow-up. The trainee psychotherapists were moderately better at recognizing multimodal expressions, and slightly better at recognizing facial micro expressions, than the control group at the first test occasion. However, mixed multilevel modeling indicated that the ERA change trajectories for the two groups differed significantly. While the control group improved in their ability to recognize multimodal emotional expressions from pretest to follow-up, the trainee psychotherapists did not. Both groups improved their micro expression recognition accuracy, but the slope for the control group was significantly steeper than the trainee psychotherapists'. These results suggest that psychotherapy education and clinical training do not always contribute to improved emotion recognition accuracy beyond what could be expected due to time or other factors. Possible reasons for that finding as well as implications for the psychotherapy education are discussed.

Developing good interpersonal relationships is one of the main impediments for people with an antisocial personality disorder (ASPD). However, in treatment of psychiatric disorders, establishing a strong therapeutic alliance (TA) is important for effective treatment. Nevertheless, there is little knowledge on how to establish this TA with this challenging patient group. This study investigates which factors are important in TA development.

For this study, a qualitative research methodology is applied. In-depth interviews with therapists experienced in treating ASPD were conducted and analysed through thematic analysis.

The analysis revealed six themes important in alliance formation: the patient's needs, regulating interpersonal dynamics, connective attitude, connective skills, treatment process and treatment goals. Each theme is defined including aspects of the recommended therapeutic attitude and required skills for therapists working with patients with ASPD.

This study determined that, for therapists working with patients with ASPD, several key factors are essential in establishing a strong TA. These factors include the ability to be firm, authentic, non-judgmental and genuinely involved. An attentive presence is crucial, in which the therapist takes initiative in establishing contact and makes the patient feel that he is truly seen as an autonomous and equal person. In doing so, the therapist needs to provide clarity and structure while remaining perceptive to boundary violations. The therapist must be able to set limits using a clear yet kind tone of voice. Furthermore, it was notable that an intensive appeal is made to the therapist's reflective capacity in these treatments.

The evidence-based treatment (EBT) movement has primarily focused on core intervention content or treatment fidelity and has largely ignored practitioner skills to manage interpersonal process issues that emerge during treatment, especially with difficult-to-treat adolescents (delinquent, substance-using, medical non-adherence) and those of color. A chief complaint of "real world" practitioners about manualized treatments is the lack of correspondence between following a manual and managing microsocial interpersonal processes (e.g. negative affect) that arise in treating "real world clients." Although family-based EBTs share core similarities (e.g. focus on family interactions, emphasis on practitioner engagement, family involvement), most of these treatments do not have an evidence base regarding common implementation and treatment process problems that practitioners experience in delivering particular models, especially in mid-treatment when demands on families to change their behavior is greatest in treatment - a lack that characterizes the field as a whole. Failure to effectively address common interpersonal processes with difficult-to-treat families likely undermines treatment fidelity and sustained use of EBTs, treatment outcome, and contributes to treatment dropout and treatment nonadherence. Recent advancements in wearables, sensing technologies, multivariate time-series analyses, and machine learning allow scientists to make significant advancements in the study of psychotherapy processes by looking "under the skin" of the provider-client interpersonal interactions that define therapeutic alliance, empathy, and empathic accuracy, along with the predictive validity of these therapy processes (therapeutic alliance, therapist empathy) to treatment outcome. Moreover, assessment of these processes can be extended to develop procedures for training providers to manage difficult interpersonal processes while maintaining a physiological profile that is consistent with astute skills in psychotherapeutic processes. This paper argues for opening the "black box" of therapy to advance the science of evidence-based psychotherapy by examining the clinical interior of evidence-based treatments to develop the next generation of audit- and feedback- (i.e., systemic review of professional performance) supervision systems.

ChatGPT has sparked extensive discussions within the healthcare community since its November 2022 release. However, potential applications in the field of psychiatry have received limited attention. Deep learning has proven beneficial to psychiatry, and GPT is a powerful deep learning-based language model with immense potential for this field. Despite the convenience of ChatGPT, this advanced chatbot currently has limited practical applications in psychiatry. It may be used to support psychiatrists in routine tasks such as completing medical records, facilitating communications between clinicians and with patients, polishing academic writings and presentations, and programming and performing analyses for research. The current training and application of ChatGPT require using appropriate prompts to maximize appropriate outputs and minimize deleterious inaccuracies and phantom errors. Moreover, future GPT advances that incorporate empathy, emotion recognition, personality assessment, and detection of mental health warning signs are essential for its effective integration into psychiatric care. In the near future, developing a fully-automated psychotherapy system trained for expert communication (such as psychotherapy verbatim) is conceivable by building on foundational GPT technology. This dream system should integrate practical 'real world' inputs and friendly AI user and patient interfaces via clinically validated algorithms, voice comprehension/generation modules, and emotion discrimination algorithms based on facial expressions and physiological inputs from wearable devices. In addition to the technology challenges, we believe it is critical to establish generally accepted ethical standards for applying ChatGPT-related tools in all mental healthcare environments, including telemedicine and academic/training settings.

This review traces the development of motivational interviewing (MI) from its happenstance beginnings and the first description published in this journal in 1983, to its continuing evolution as a method that is now in widespread practice in many professions, nations and languages. The efficacy of MI has been documented in hundreds of controlled clinical trials, and extensive process research sheds light on why and how it works. Developing proficiency in MI is facilitated by feedback and coaching based on observed practice after initial training. The author reflects on parallels between MI core processes and the characteristics found in 70 years of psychotherapy research to distinguish more effective therapists. This suggests that MI offers an evidence-based therapeutic style for delivering other treatments more effectively. The most common use of MI now is indeed in combination with other treatment methods such as cognitive behaviour therapies.

Given the importance of communication skills in the psychologist-patient relationship, several training programs have been proposed. Cumulative microtraining (CMT) has shown positive impacts on communication skills in previous studies.

The aim of this naturalistic pre-post study was to test the feasibility of a hybrid CMT program and obtain preliminary data on its impact on communication skills in French-speaking third-year psychology students. The training included an e-learning curriculum and role plays. Pre-post measures included recorded peer-to-peer role plays and self-assessments by participants themselves using the Calgary Cambridge Grid (n = 38) and assessed by an independent rater (n = 29) with a checklist focused on objective behaviors and the CARE questionnaire measuring perceived empathy.

The results showed increases in most communication skills at different levels. Summarizing, paraphrasing, and structuring skills were significantly increased after training (all P ≤ 0.001), as were self-reported measurements (all P < 0.001), and empathy and confidence assessed by an independent rater (all p < 0.05).

This study provides new evidence on the impact of CMT, including e-learning and role plays, on both self-rated assessments and assessments by an independent rater who measured communication and empathy in a population of French-speaking students. These findings highlight the importance of implementing such instruction in initial training despite the cost involved. It demonstrates the feasibility of its inclusion in university curriculum, facilitated by the adaptation of theoretical aspects of teaching in e-learning.

Existing literature suggests that patients' experiences of emotions, especially negative emotions, predict outcomes in psychotherapies for major depressive disorder. However, the specific mechanisms underlying this effect remain unclear. Based on studies pointing to the role of oxytocin (OT) in attachment relationships, we proposed and tested a mediation model where the therapists' hormonal responses, as represented by increases in their OT levels, mediates the association between negative emotions and symptomatic change.

OT saliva samples (pre- and post-session, N = 435) were collected on a fixed schedule over 16 sessions from the therapists of 62 patients receiving psychotherapy for major depression. The Hamilton Rating Scale for Depression was administered to the patients before the sessions, and the patients reported their in-session emotions after the sessions.

The findings support the proposed within-person mediation model: (a) higher levels of negative emotions in patients predicted greater increases in therapist OT levels pre- to post-session throughout treatment; (b) greater OT levels in therapists, in turn, predicted reduction in patients' depressive symptoms on the subsequent assessment; and (c) the therapists' OT levels significantly mediated the association between patients' negative emotions and reduction in their depressive symptoms.

This design precluded establishing a time sequence between patients' negative emotions and therapists' OT; thus, causality could not be inferred.

These findings point to a possible biological mechanism underlying the effects of patients' experiences of negative emotions on treatment outcomes. The findings suggest that therapists' OT responses could potentially serve as a biomarker of an effective therapeutic processes.

A large body of literature discusses change mechanisms underlying psychotherapy with an emphasis on common factors. The present study examined how different comprehensive common factors change over the course of therapy and whether this change was associated with clinical outcome at discharge.

Three hundred forty-eight adults (mean age = 32.1, SD = 10.6; 64% female) attended a standardized 14-week day-clinic psychotherapy program. They provided longitudinal data on common factors based on weekly assessments. Additionally, pre- and post-assessment questionnaires on clinical outcome were completed. Using multilevel modelling, we predicted common factors by time (week in therapy). Multiple linear regression models tested the association between changes in common factors and clinical outcome.

The common factor 'Therapeutic Alliance' was best fitted by linear growth models, whereas models for the common factors 'Coping', 'Cognitive Integration' and 'Affective Processing' indicated logarithmic changes over time. 'Coping', that is change in patients' ability to cope with their individual problems, was most closely linked with outcome.

The present study provides evidence for the changeability of common factors over the course of therapy as well as their specific contributions to psychotherapeutic progress.