Cultural Conversations in Therapy: How Often Clients Talk About Their Identities.

Objective: The purpose of this study was to examine how often clients report discussing cultural identities during counseling sessions; the extent to which discussion of cultural identities during treatment varies across therapists; whether identifying as BIPOC (Black, Indigenous, and people of color) predicts clients' discussion of cultural identities in sessions; and whether differences in the frequency of cultural conversations (i.e., dialogue that focuses on client cultural identities) across client groups depend on the therapist.

Identification of cultural conversations in therapy using natural language processing models.

Researchers have historically focused on understanding therapist multicultural competency and orientation through client self-report measures and behavioral coding. While client perceptions of therapist cultural competency and multicultural orientation and behavioral coding are important, reliance on these methods limits therapists receiving systematic, scalable feedback on cultural opportunities within sessions. Prior research demonstrating the feasibility of automatically identifying topics of conversation in psychotherapy suggests that natural language processing (NLP) models could be trained to automatically identify when clients and therapists are talking about cultural concerns and could inform training and provision of rapid feedback to therapists.

Nurses navigating moral distress, resilience, and team dynamics: A literature review.

Background: This manuscript explores the pervasive issue of moral distress among nurses and its impact on their well-being and professional satisfaction. Focusing on diverse factors contributing to moral distress, the review spans various experience levels and patient care settings.

Method: Utilizing integrative reviews and sourcing from PubMed, CINAHL, SCOPUS, PsycINFO, and ProQuest, the study synthesizes findings from studies worldwide.

Grieving Children' Death in an Intensive Care Unit: Implementation of a Standardized Process.

The grief that accompanies witnessing the death of a child puts health care professionals at risk of secondary trauma, burnout, and turnover when left unaddressed. Support staff well-being and promote resiliency. Descriptive implementation of a structured, peer-to-peer bereavement support program for intensive care unit (ICU) staff at a tertiary children's hospital.

The sum of competing parts: Religious and sexual identity disparities in therapist effectiveness.

The discussion of the influence of culture in psychotherapy is expanding to honor and incorporate the ways identities intersect within complex social systems. Some clients present for therapy with two or more identities that are in conflict, whereby the values or needs associated with different parts of the self are at odds. The resulting tension can be a significant driver of distress.

Automated evaluation of psychotherapy skills using speech and language technologies.

With the growing prevalence of psychological interventions, it is vital to have measures which rate the effectiveness of psychological care to assist in training, supervision, and quality assurance of services. Traditionally, quality assessment is addressed by human raters who evaluate recorded sessions along specific dimensions, often codified through constructs relevant to the approach and domain. This is, however, a cost-prohibitive and time-consuming method that leads to poor feasibility and limited use in real-world settings.

Determining the therapist's contribution in therapist multicultural competence process and outcome.

Efforts to help therapists improve their multicultural competence (MCC) rely on measures that can distinguish between different levels of competence. MCC is often assessed by asking clients to rate their experiences with their therapists. However, differences in client ratings of therapist MCC do not necessarily provide information about the relative performance of therapists and can be influenced by other factors including the client's own characteristics.

Machine learning and natural language processing in psychotherapy research: Alliance as example use case.

Artificial intelligence generally and machine learning specifically have become deeply woven into the lives and technologies of modern life. Machine learning is dramatically changing scientific research and industry and may also hold promise for addressing limitations encountered in mental health care and psychotherapy. The current paper introduces machine learning and natural language processing as related methodologies that may prove valuable for automating the assessment of meaningful aspects of treatment.