Practice-Oriented Research: An Introduction to New Developments and Future Directions.

Aimed at understanding and improving psychological therapies as they are conducted in clinical routine, practice-oriented research (POR) is now a well-established approach to the scientific foundations of mental health care services. Resting on the accumulation of a wide range of practice-based evidence related to treatment outcome and process, as well as factors associated with the participants of psychotherapy and its context, POR is ripe for new developments - regarding what to investigate and how to investigate it. This paper is the introduction of a series devoted to recent advances and future directions of POR as their pertained to routine outcome monitoring, technologies and artificial intelligence, the integration of constructs and methods from program evaluation and implementation science, and the investigation of populations with limited financial resources across various regions of the world. The series also includes commentaries from two leaders of POR.

Transdiagnostic effects of therapist self-disclosure on diverse emotional experiences of clients with emotional disorders and schizophrenia.

OBJECTIVE: Despite the clinical significance of emotional diversity, also known as emodiversity, there has been limited investigation into the therapeutic interventions that influence this construct. In the current study we examined the association between immediate therapist self-disclosure (TSD) and emodiversity among two diagnostic groups who tend to experience emotional difficulties: people with schizophrenia and people with emotional disorders (i.e., depression and/or anxiety). METHOD: The sample comprised 74 clients (37 diagnosed with schizophrenia and 37 with emotional disorders) treated by 45 therapists in a university clinic setting. Following each session, clients self-reported their emotions, and therapists completed a measure of frequency and centrality of their immediate TSD during the session. RESULTS: Longitudinal multilevel models indicated that immediate TSD was positively associated with clients' global emodiversity, both at the within- and the between-client levels, as well as with clients' negative emodiversity at the between-client level. Moreover, clients with emotional disorders and clients with schizophrenia did not differ in the association between immediate TSD and emodiversity. In addition, across groups, clients treated by therapists who used more immediate TSD on average showed greater increases in global emodiversity during treatment. CONCLUSIONS: immediate TSD is associated with clients' ability to experience rich and diverse emotional experiences across different disorders. The theoretical and clinical implications of these findings are discussed.

Leveraging natural language processing to study emotional coherence in psychotherapy.

The association between emotional experience and expression, known as emotional coherence, is considered important for individual functioning. Recent advances in natural language processing (NLP) make it possible to automatically recognize verbally expressed emotions in psychotherapy dialogues and to explore emotional coherence with larger samples and finer granularity than previously. The present study used state-of-the-art emotion recognition models to automatically label clients' emotions at the utterance level, employed these labeled data to examine the coherence between verbally expressed emotions and self-reported emotions, and examined the associations between emotional coherence and clients' improvement in functioning throughout treatment. The data comprised 872 transcribed sessions from 68 clients. Clients self-reported their functioning before each session and their emotions after each. A subsample of 196 sessions were manually coded. A transformer-based approach was used to automatically label the remaining data for a total of 139,061 utterances. Multilevel modeling was used to assess emotional coherence and determine whether it was associated with changes in clients' functioning throughout treatment. The emotion recognition model demonstrated moderate performance. The findings indicated a significant association between verbally expressed emotions and self-reported emotions. Coherence in clients' negative emotions was associated with improvement in functioning. The results suggest an association between clients' subjective experience and their verbal expression of emotions and underscore the importance of this coherence to functioning. NLP may uncover crucial emotional processes in psychotherapy. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Is empathic accuracy enough? The role of therapists' interventions in the associations between empathic accuracy and session outcome.

Therapists' ability to accurately assess their clients' emotions is a critical clinical skill across various therapeutic approaches. However, little is understood about the contexts that facilitate or interfere with the effects of this accuracy on therapeutic outcomes. This study investigated the relationship between therapists' empathic accuracy (EA) concerning their clients' emotions and session outcomes, and whether this relationship is moderated by the therapists' use of different intervention types. A sample of 81 clients treated by 50 therapists in a university setting was used for the study. Following each session, clients rated the emotions they experienced during the session, as well as the quality of the session, while therapists rated their perception of their clients' emotions. Findings revealed that therapists' EA for negative emotions (but not positive ones) positively correlated with higher client evaluations of the session. Furthermore, the frequency of exploratory interventions (but not directive ones) moderated this relationship. The results highlight that merely being empathically accurate in assessing clients' negative emotions may not be sufficient; therapists who employ an exploratory approach while being empathically accurate can better facilitate emotional processing, potentially leading to improved outcomes. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A Clinical Leadership Lens on Implementing Progress Feedback in Three Countries: Development of a Multidimensional Qualitative Coding Scheme.

BACKGROUND: Progress feedback, also known as measurement-based care (MBC), is the routine collection of patient-reported measures to monitor treatment progress and inform clinical decision-making. Although a key ingredient to improving mental health care, sustained use of progress feedback is poor. Integration into everyday workflow is challenging, impacted by a complex interrelated set of factors across patient, clinician, organizational, and health system levels. This study describes the development of a qualitative coding scheme for progress feedback implementation that accounts for the dynamic nature of barriers and facilitators across multiple levels of use in mental health settings. Such a coding scheme may help promote a common language for researchers and implementers to better identify barriers that need to be addressed, as well as facilitators that could be supported in different settings and contexts. METHODS: Clinical staff, managers, and leaders from two Dutch, three Norwegian, and four mental health organizations in the USA participated in semi-structured interviews on how intra- and extra-organizational characteristics interact to influence the use of progress feedback in clinical practice, supervision, and program improvement. Interviews were conducted in the local language, then translated to English prior to qualitative coding. RESULTS: A team-based consensus coding approach was used to refine an a priori expert-informed and literature-based qualitative scheme to incorporate new understandings and constructs as they emerged. First, this hermeneutic approach resulted in a multi-level coding scheme with nine superordinate categories and 30 subcategories. Second-order axial coding established contextually sensitive categories for barriers and facilitators. CONCLUSIONS: The primary outcome is an empirically derived multi-level qualitative coding scheme that can be used in progress feedback implementation research and development. It can be applied across contexts and settings, with expectations for ongoing refinement. Suggestions for future research and application in practice settings are provided. Supplementary materials include the coding scheme and a detailed playbook.

The effect of Oxytocin administration on patient-therapist alliance congruence: Results from a randomized controlled trial.

OBJECTIVES: The effects of oxytocin (OT) administration on psychotherapeutic processes have thus far been elusive. This study explored the effect of OT administration on patient-therapist congruence of the working alliance. METHOD: Inpatients with mental disorders (N = 87) participating in a randomized controlled trial received OT (n = 44) or placebo (n = 43) intranasally twice a day, for four weeks. Patients and therapists rated the alliance after each session. RESULTS: Oxytocin significantly moderated the level of agreement (b = -0.56, SE = 0.25, t = -2.30, p = 0.02), such that patients receiving OT demonstrated lower discrepancy (b = -0.73, p < 0.001) than did those receiving placebo (b = -1.30, p < 0.001). On the other hand, the mutual covariance of patient-therapist ratings across sessions was positive and significant for patients receiving placebo (b = 0.26, p = 0.01) but not for patients in the OT group (b = -0.06, p = .56). CONCLUSION: Oxytocin can reduce discrepancies of patient-therapist perceptions of the alliance, although additional studies are needed to explore OT's effect on alliance development over time. As alliance congruence is associated with therapy outcomes, such intervention may lead to enhancement of therapeutic gains.

Leveraging Novel Technologies and Artificial Intelligence to Advance Practice-Oriented Research.

Mental health services are experiencing notable transformations as innovative technologies and artificial intelligence (AI) are increasingly utilized in a growing number of studies and services.These cutting-edge technologies carry the promise of substantial improvements in the field of mental health. Nevertheless, questions emerge about the alignment of novel technologies and AI systems with human needs, especially in the context of vulnerable populations receiving mental healthcare. The practice-oriented research (POR) model is pivotal in seamlessly integrating these emerging technologies into clinical research and practice. It underscores the importance of tight collaboration between clinicians and researchers, all driven by the central goal of ensuring and elevating client well-being. This paper focuses on how novel technologies can enhance the POR model and highlights its pivotal role in integrating these technologies into clinical research and practice. We discuss two key phases: pre-treatment, and during treatment. For each phase, we describe the challenges, present the major technological innovations, describe recent studies exemplifying technology use, and suggest future directions. Ethical concerns and the importance of aligning humans and technology are also considered, in addition to implications for practice and training.

A dyadic session-by-session assessment of therapeutic alliance and short-term outcome among clients with schizophrenia in comparison with clients with emotional disorders.

OBJECTIVE: Although the clinical significance of the therapeutic alliance (TA) is well documented, the literature regarding the establishment of TA and the relation between client-therapist agreement on it to short-term outcome among various diagnostic groups-and specifically among clients diagnosed with serious mental illness (SMI)-is sparse. The aim of the present study was to examine the effect of client diagnosis on the abovementioned TA characteristics. METHOD: Dyadic analyses of session-by-session (SBS) data were used to compare clients diagnosed with schizophrenia and clients diagnosed with emotional disorders (based on a clinical interview) in their TA characteristics. RESULTS: TA as initially rated by clients was stronger in the emotional disorders group than in the schizophrenia group. Higher TA ratings, regardless of whether these were provided by the therapist or the client, predicted better subsequent functioning in the emotional disorders group, whereas in the schizophrenia group, this association was observed only among good-outcome cases. CONCLUSIONS: Establishing TA, having client-therapist agreement on it, and having clients derive therapeutic benefit from it might be more challenging with clients with schizophrenia than with clients with emotional disorders. Special attention should be given to specific challenges and needs regarding clients' diagnosis in order to enhance favourable therapy outcomes.

Predicting future onset of depression among middle-aged adults with no psychiatric history.

BACKGROUND: Depression is a major cause of disability worldwide. Recent data suggest that, in industrialised countries, the prevalence of depression peaks in middle age. Identifying factors predictive of future depressive episodes is crucial for developing prevention strategies for this age group. AIMS: We aimed to identify future depression in middle-aged adults with no previous psychiatric history. METHOD: To predict a diagnosis of depression 1 year or more following a comprehensive baseline assessment, we used a data-driven, machine-learning methodology. Our data-set was the UK Biobank of middle-aged participants (N = 245 036) with no psychiatric history. RESULTS: Overall, 2.18% of the study population developed a depressive episode at least 1 year following baseline. Basing predictions on a single mental health questionnaire led to an area under the curve of the receiver operating characteristic of 0.66, and a predictive model leveraging the combined results of 100 UK Biobank questionnaires and measurements improved this to 0.79. Our findings were robust to demographic variations (place of birth, gender) and variations in methods of depression assessment. Thus, machine-learning-based models best predict diagnoses of depression when allowing the inclusion of multiple features. CONCLUSIONS: Machine-learning approaches show potential for being beneficial for the identification of clinically relevant predictors of depression. Specifically, we can identify, with moderate success, people with no recorded psychiatric history as at risk for depression by using a relatively small number of features. More work is required to improve these models and evaluate their cost-effectiveness before integrating them into the clinical workflow.

Clients' emotional experience as a dynamic context for client-therapist physiological synchrony.

OBJECTIVE: Client-therapist physiological synchrony has recently attracted significant empirical attention. Recent theoretical accounts propose that physiological linkages should not be considered a stable dyadic virtue but rather a dynamic process that depends on the situational context in which they transpire. The present study adopted a "momentary" (vs. "global") approach that focuses on therapist-client physiological synchrony over relatively short periods of time. These temporal data served to examine the interplay between patterns of synchrony (in-phase vs. antiphase) and clients' momentary emotional experiences (inhibited/unproductive, productive, and positive). Synchrony was assessed by measuring respiratory sinus arrhythmia (RSA), an autonomic index that is known to be associated with interpersonal emotion regulation. METHOD: Data were drawn from 28 clients undergoing a 16-session supportive-expressive dynamic therapy for depression. Clients' and therapists' electrocardiography were recorded in five sessions; clients' emotional experiences were coded at the speech-turn level. After each session, the clients also completed the session evaluation scale. RESULTS: Client-therapist dyads had greater momentary RSA synchrony than would be predicted by chance. Compared to moments of unproductive emotional experience, greater antiphase synchrony was observed during moments of productive emotional experiences. In addition, compared to moments of unproductive emotional experience, greater in-phase and antiphase synchrony were observed during moments of positive emotional experiences. These patterns of synchrony were associated with clients' favorable evaluations of the session. CONCLUSION: By considering the dynamic nature of synchrony, these findings provide a fine-grained picture of physiological synchrony and its potential effects on therapy. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Facilitating dyadic synchrony in psychotherapy sessions: Systematic review and meta-analysis.

Objective: This paper highlights the facilitation of dyadic synchrony as a core psychotherapist skill that occurs at the non-verbal level and underlies many other therapeutic methods. We define dyadic synchrony, differentiate it from similar constructs, and provide an excerpt illustrating dyadic synchrony in a psychotherapy session. Method: We then present a systematic review of 17 studies that have examined the associations between dyadic synchrony and psychotherapy outcomes. We also conduct a meta-analysis of 8 studies that examined whether there is more synchrony between clients and therapists than would be expected by chance. Results: Weighted box score analysis revealed that the overall association of synchrony and proximal as well as distal outcomes was neutral to mildly positive. The results of the meta-analysis indicated that real client-therapist dyad pairs exhibited synchronized behavioral patterns to a much greater extent than a sample of randomly paired people who did not actually speak. Conclusion: Our discussion revolves around how synchrony can be facilitated in a beneficial way, as well as situations in which it may not be beneficial. We conclude with training implications and therapeutic practices.

Examining the associations between difficulties in emotion regulation and symptomatic outcome measures among individuals with different mental disorders.

Background: Difficulties in emotion regulation (ER) abilities have been found to play a central role in different psychiatric disorders. However, researchers rarely compare ER across different diagnostic groups. In the current study, we examined ER and its relation to functional and symptomatic outcome among three distinct diagnostic groups: people with schizophrenia (SCZ), people with emotional disorders (EDs; i.e., depression and/or anxiety), and individuals without any psychiatric diagnosis (controls). Methods: Participants in this study comprised 108 adults who requested psychotherapy at a community clinic in the year 2015 and between 2017 and 2019. Clients were interviewed and filled out questionnaires measuring depression, distress, and difficulties in ER abilities. Results: Results showed that individuals with psychiatric diagnoses reported higher levels of difficulties in ER abilities than did controls. Moreover, there were very few differences in levels of ER difficulty between SCZ and EDs. Further, the associations between maladaptive ER and psychological outcomes were significant in each diagnostic group, and especially for SCZ. Conclusion: Our study indicates that difficulties in ER abilities partially have a transdiagnostic nature, and that these difficulties are associated with psychological outcomes among both clinical populations and controls. There were very few differences in levels of ER ability difficulties between SCZ and EDs, suggesting that the two groups share difficulties in relating and responding to emotional distress. The associations between difficulties in ER abilities and outcome were more robust and stronger among SCZ than the other groups, highlighting the potential contribution of targeting ER abilities in the treatment of schizophrenia.

Client-therapist temporal congruence in perceiving immediate therapist self-disclosure and its association with treatment outcome.

Objective: Immediate therapist self-disclosure (Im-TSD) can be a powerful intervention. When engaged in judiciously, it can provide clients with a unique opportunity to explore their interpersonal relationship in real time. Relational theories suggest that for Im-TSD to be effective, both client and therapist must have temporally congruent perceptions of its occurrence. The present study examined (a) whether clients and therapists are temporally congruent in their session-by-session ratings of Im-TSD; and (b) whether this congruence is associated with therapy outcomes. Method: After each session, clients (n = 102) and therapists (n = 60) at a university-based clinic indicated whether Im-TSD was present during the session. Before each session, clients self-reported their functioning. They rated session quality after each session. Results: Therapists' ratings of their Im-TSD tended to be temporally congruent with their clients' Im-TSD ratings. Greater temporal congruvdence was associated with greater improvement over time in clients' experience of the session as helpful, but not with changes in clients' functioning. Conclusion: The findings highlight the importance of establishing a stronger temporal congruence of Im-TSD ratings between therapists and clients to further improve clients' experiences in treatment. The findings' implications are discussed as well as situations in which temporal congruence may not be beneficial.

Oxytocin reactivity to the therapeutic encounter as a biomarker of change in the treatment of depression.

Depression affects millions worldwide, thus underscoring the urgent need to optimize health care practices. To better understand the processes involved in psychotherapy gains, studies have emphasized the need to complement subjective reports with objective measures, in particular biological markers. Oxytocin (OT) has been proposed as a potential biomarker in the treatment of depression given its involvement in depression-related psychological and physiological functions and the formation of close relationships. Here, we assessed whether OT reactivity to therapeutic encounters (absolute and/or directional reactivity) is linked to improvements in depressive symptoms from session to session during psychotherapy. A total of 284 saliva samples were collected from 30 adult clients who underwent 16 sessions of manualized psychodynamic psychotherapy for depression in a university setting. Salivary OT was measured before and after five preselected sessions distributed evenly throughout the therapy. The Beck Depression Inventory-II (BDI-II) was administered at the beginning of each session. Multilevel growth models indicated that clients exhibiting greater absolute OT reactivity showed greater improvement in depressive symptoms throughout treatment. Directional reactivity was not associated with depressive symptom change. In addition, clients with higher baseline OT levels displayed less change in depressive symptoms. These findings highlight reactivity of the OT system, in either direction, as an important feature of the treatment response. Consistent with recent models of the neurobiology of resilience, OT reactivity appears to serve as an important biomarker of psychotherapy gain in the treatment of depression. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Intrapersonal and interpersonal vocal affect dynamics during psychotherapy.

OBJECTIVE: The present study implements an automatic method of assessing arousal in vocal data as well as dynamic system models to explore intrapersonal and interpersonal affect dynamics within psychotherapy and to determine whether these dynamics are associated with treatment outcomes. METHOD: The data of 21,133 mean vocal arousal observations were extracted from 279 therapy sessions in a sample of 30 clients treated by 24 therapists. Before and after each session, clients self-reported their well-being level, using the Outcome Rating Scale. RESULTS: Both clients' and therapists' vocal arousal showed intrapersonal dampening. Specifically, although both therapists and clients departed from their baseline, their vocal arousal levels were "pulled" back to these baselines. In addition, both clients and therapists exhibited interpersonal dampening. Specifically, both the clients' and the therapists' levels of arousal were "pulled" toward the other party's arousal level, and clients were "pulled" by their therapists' vocal arousal toward their own baseline. These dynamics exhibited a linear change over the course of treatment: whereas interpersonal dampening decreased over time, there was an increase in intrapersonal dampening over time. In addition, higher levels of interpersonal dampening were associated with better session outcomes. CONCLUSIONS: These findings demonstrate the advantages of using automatic vocal measures to capture nuanced intrapersonal and interpersonal affect dynamics in psychotherapy and demonstrate how these dynamics are associated with treatment gains. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Using topic models to identify clients' functioning levels and alliance ruptures in psychotherapy.

Computerized natural language processing techniques can analyze psychotherapy sessions as texts, thus generating information about the therapy process and outcome and supporting the scaling-up of psychotherapy research. We used topic modeling to identify topics discussed in psychotherapy sessions and explored (a) which topics best identified clients' functioning and alliance ruptures and (b) whether changes in these topics were associated with changes in outcome. Transcripts of 873 sessions from 58 clients treated by 52 therapists were analyzed. Before each session, clients self-reported functioning and symptom level. After each session, therapists reported the extent of alliance rupture. Latent Dirichlet allocation was used to extract latent topics from psychotherapy textual data. Then a sparse multinomial logistic regression model was used to predict which topics best identified clients' functioning levels and the occurrence of alliance ruptures in psychotherapy sessions. Finally, we used multilevel growth models to explore the associations between changes in topics and changes in outcome. Session-based processing yielded a list of semantic topics. The model identified the labels above chance (65% to 75% accuracy). Change trajectories in topics were associated with change trajectories in outcome. The results suggest that topic models can exploit rich linguistic data within sessions to identify psychotherapy process and outcomes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Using computerized text analysis to examine associations between linguistic features and clients' distress during psychotherapy.

Raw linguistic data within psychotherapy sessions may provide important information about clients' progress and well-being. In the current study, computerized text analytic techniques were applied to examine whether linguistic features were associated with clients' experiences of distress within and between clients and whether changes in linguistic features were associated with changes in treatment outcome. Transcripts of 729 psychotherapy sessions from 58 clients treated by 52 therapists were analyzed. Prior to each session, clients reported their distress level. Linguistic features were extracted automatically by using natural language parser for first-person singular identification and using positive and negative emotion words lexicon. The association between linguistic features and levels of distress was examined using multilevel models. At the within-client level, fewer first-person singular words, fewer negative emotional words and more positive emotional words were associated with lower distress in the same session; and fewer negative emotion words were associated with lower next session distress (rather small f2 effect sizes = 0.011 < f2 < 0.022). At the between-client level, only first session use of positive emotion words was associated with first session distress (ηp2 effect size = 0.08). A drop in the use of first-person singular words was associated with improved outcome from pre- to posttreatment (small ηp2 effect size = 0.05). The findings provide preliminary support for the association between clients' linguistic features and their fluctuating experience of distress. They point to the potential value of computerized linguistic measures to track therapeutic outcomes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

When to disclose and to whom? examining within- and between-client moderators of therapist self disclosure-outcome associations in psychodynamic psychotherapy.

Objective: While previous studies have indicated that therapists' self-disclosure (TSD) can have curative effects, the contextual variables that may moderate the link between TSD and treatment outcome have not been sufficiently explored. Using session-by-session psychotherapy data, we examined the extent to which within-client distress and between-clients emotion regulation difficulties moderated the associations between TSD and session outcomes.Method: The sample comprised 68 clients treated according to the principles of psychodynamic psychotherapy by 47 therapists in a university clinic. Emotion regulation difficulties were assessed at the beginning of treatment, and functioning and distress levels as well as symptoms were assessed at the beginning of each session. After each session, therapists completed a measure of frequency and centrality of their immediate and non- immediate self-disclosure interventions during the session.Results: At the within-client level, in sessions marked by high pre-session client distress, immediate TSD was associated with a better next session outcome. At the between-clients level, for clients who had low emotion regulation difficulties, immediate TSD was marginally associated with better outcomes.Conclusion: These findings highlight the importance of considering within-client level as well as between-clients level variables when deciding upon self-disclosure.

Beyond symptom reduction: Development and validation of the Complementary Measure of Psychotherapy Outcome (COMPO).

Most measures of psychotherapy outcome focus on symptomatic change. However, clients often report other changes through therapy, such as increased self-acceptance. This study reports on the development and validation of the Complementary Measure of Psychotherapy Outcome (COMPO) that assesses different areas of psychological functioning deemed important by clients and therapists. Items were written based on a literature review of client-reported change and feedback from experienced therapists. Exploratory factor analysis was conducted on the initial 42-item COMPO administered to 264 psychotherapy clients. Iterative item reduction resulted in the final 12-item, four-factor solution, with factors named self-acceptance, self-knowledge, relationship quality, and consideration of others. This factor structure, along with a bifactor model that contains a general factor and the four domain-specific factors, was replicated on a sample of 571 adults in the community. The 12-item COMPO exhibits convergent validity with measures of self-esteem, insight, social support, and empathy; demonstrates 2-week test-retest reliability; and predicts life satisfaction. The 12-item COMPO was further administered to 28 clients in short-term psychodynamic therapy for depression. Except for consideration of others, COMPO subscales and total scale scores improved from pre- to posttherapy. Posttherapy COMPO scores were also higher among clients who experienced clinically significant change compared to those who did not. The COMPO was negatively associated with depressive symptoms and impairments in functioning across the three samples. The brevity of the COMPO makes it a convenient tool to supplement symptom-based measures for a more comprehensive assessment of outcome in psychotherapy. (PsycInfo Database Record (c) 2021 APA, all rights reserved).