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During psychiatric diagnostic interviews, the clinician's question usually targets specific symptom descriptions based on diagnostic categories for ICD-10/DSM-5 (2, 3). While some patients merely answer questions, others go beyond to describe their subjective experiences in a manner that highlights the intensity and urgency of those experiences. By adopting conversation analysis as a method, this study examines diagnostic interviews conducted in an outpatient clinic in South Finland and identifies sequences that divulge patients' subjective experiences. From 10 audio-recorded diagnostic interviews, 40 segments were selected where patients replied to medically or factually oriented questions with their self-disclosures. The research focus was on the clinicians' responses to these disclosures. We present five sequential trajectories that the clinicians offered third-position utterances in response to their patients' self-disclosure of subjective experiences. These trajectories include the following: 1) the clinician transfers the topic to a new agenda question concerning a medical or factual theme; 2) the clinician presents a follow-up question that selects a topic from the patient's self-disclosure of a subjective experience that may orient either towards the medical/factual side or the experiential side of the patient's telling; 3) the clinician provides an expert interpretation of the patient's self-disclosure of his or her subjective experience from the clinician's expert perspective; 4) the clinician gives advice that orients mainly to a treatment recommendation or to another activity; and 5) the clinician presents a formulation that focusses on the core of their patient's self-disclosure of his or her subjective experience from the patient's perspective. In addition, we present what these responsive practices invoke from the patient in the next turn. We argue that an awareness of these strategies facilitates both the diagnosis and an appropriate therapeutic relationship during the psychiatric assessment interview. Finally, we discuss the clinical significance of our results regarding the patient's agency and the clinician's more conscious patient-centred orientation in the psychiatric assessment procedure.

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BACKGROUND: Bipolar Disorder (BD), a severe neuropsychiatric condition, often appears during adolescence. Traditional diagnostic methods, which primarily relying on clinical interviews and single-modal MRI techniques, may have limitations in accuracy. This study aimed to improve adolescent BD diagnosis by integrating behavioral assessments with multimodal MRI. We hypothesized that this combination would enhance diagnostic accuracy for at-risk adolescents. METHODS: A retrospective cohort of 309 subjects, including BD patients, offspring of BD patients (with and without subthreshold symptoms), non-BD offspring with subthreshold symptoms, and healthy controls, was analysed. Behavioral attributes were integrated with MRI features from T1, rsfMRI, and DTI. Three diagnostic models were developed using GLMNET multinomial regression: a clinical diagnosis model based on behavioral attributes, an MRI-based model, and a comprehensive model integrating both datasets. RESULTS: The comprehensive model achieved a prediction accuracy of 0.83 (CI: [0.72, 0.92]), significantly higher than the clinical (0.75) and MRI-based (0.65) models. Validation with an external cohort showed high accuracy (0.89, AUC=0.95). Structural equation modelling revealed that Clinical Diagnosis (ß=0.487, p<0.0001), Parental BD History (ß=-0.380, p<0.0001), and Global Function (ß=0.578, p<0.0001) significantly impacted Brain Health, while Psychiatric Symptoms showed only a marginal influence (ß=-0.112, p=0.056). CONCLUSION: This study highlights the value of integrating multimodal MRI with behavioral assessments for early diagnosis in at-risk adolescents. Combining neuroimaging enables more accurate patient subgroup distinctions, facilitating timely interventions and improving health outcomes. Our findings suggest a paradigm shift in BD diagnostics, advocating for incorporating advanced imaging techniques in routine evaluations.

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BACKGROUND: The management of offenders with mental disorders has been a significant concern in forensic psychiatry. In Japan, the introduction of the Medical Treatment and Supervision Act in 2005 addressed the issue. However, numerous psychiatric patients at risk of violence still find themselves subject to the administrative involuntary hospitalization (AIH) scheme, which lacks clarity and updated standards. AIM: To explore current as well as optimized learning strategies for risk assessment in AIH decision making. METHODS: We conducted a questionnaire survey among designated psychiatrists to explore their experiences and expectations regarding training methods for psychiatric assessments of offenders with mental disorders. RESULTS: The findings of this study's survey suggest a prevalent reliance on traditional learning approaches such as oral education and on-the-job training. CONCLUSION: This underscores the pressing need for structured training protocols in AIH consultations. Moreover, feedback derived from inpatient treatment experiences is identified as a crucial element for enhancing risk assessment skills.

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OBJECTIVE: Learning health care networks can significantly improve the effectiveness, consistency, and cost-effectiveness of care delivery. As part of a data harmonization process, incorporation of the perspectives of community partners to maximize the relevance and utility of the data is critical. METHODS: A mixed-methods focus group study was conducted with early psychosis program providers, leadership, service users, and family members to explore their priorities regarding data collection in early psychosis care. Focus group transcripts were analyzed through thematic analysis. RESULTS: Twenty-two focus groups comprising 178 participants were conducted across 10 early psychosis programs. Participants considered functioning, quality of life, recovery, and symptoms of psychosis as key outcomes to assess, although variation by participants' roles was also evident. Participants emphasized the clinical utility of assessing a broad range of predictors of care outcomes, favored a broad conceptualization of the constructs assessed, and indicated a preference for client-reported measures. Participants also emphasized the importance of surveys adopting a recovery-oriented, strengths-based approach. CONCLUSIONS: Large-scale aggregation of health care data collected as part of routine care offers opportunities for research and may have a positive impact on care delivery and quality improvement activities. However, these benefits are contingent on the data being both relevant and accessible to those who deliver and receive such care. This study highlights an approach that may inform the development of core assessment batteries used, optimizing the utility of such data for all community partners.

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The use of electronic devices and social media is becoming a ubiquitous part of most people's lives. Although researchers are exploring the sequelae of such use, little attention has been given to the importance of digital media use in routine psychiatric assessments of patients. The nature of technology use is relevant to understanding a patient's lifestyle and activities, the same way that it is important to evaluate the patient's occupation, functioning, and general activities. The authors propose a framework for psychiatric inquiry into digital media use, emphasizing that such inquiry should focus on quality of use, including emotional and behavioral consequences, rather than simply the amount of use.

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Over the past decade, the Diagnostic and Statistical Manual's method of prescribing medications based on presenting symptoms has been challenged. The shift toward precision medicine began with the National Institute of Mental Health and culminated with the World Psychiatric Association's posit that a paradigm shift is needed. This study supports that shift by providing evidence explaining the high rate of psychiatric medication failure and suggests a possible first step toward precision medicine. A large psychiatric practice began collecting electroencephalograms (EEGs) for this study in 2012. The EEGs were analyzed by the same neurophysiologist (board certified in electroencephalography) on 1,233 patients. This study identified 4 EEG biomarkers accounting for medication failure in refractory patients: focal slowing, spindling excessive beta, encephalopathy, and isolated epileptiform discharges. Each EEG biomarker suggests underlying brain dysregulation, which may explain why prior medication attempts have failed. The EEG biomarkers cannot be identified based on current psychiatric assessment methods, and depending upon the localization, intensity, and duration, can all present as complex behavioral or psychiatric issues. The study highlights that the EEG biomarker identification approach can be a positive step toward personalized medicine in psychiatry, furthering the clinical thinking of "testing the organ we are trying to treat."

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INTRODUCTION: The Preschool Age Psychiatric Assessment (PAPA) was developed in response to the need for a standard and reliable tool for assessing preschool-age psychiatric disorders. The aim of this study was to translate PAPA into the Turkish language and evaluate the validity and reliability. METHODS: The researchers translated the original PAPA to Turkish, and the Turkish version of PAPA was translated back into its original language by professional translators. After the psychiatric assessment of the 300 patients by child psychiatrist, the PAPA interview was implemented with the parents. The sociodemographic data form and the PAPA short forms were filled out by the clinician conducting the interview. The Child Behavior Checklist for Ages 1.5-5 (CBCL/1½-5) was completed by parents. RESULTS: The rate of detecting true positives and true negatives in all subscales when comparing PAPA with CBCL in children under 60 months ranged from 65% to 88%. The AUC values were above 50%, ranging from 0.56 to 0.72, indicating that PAPA performed reasonably well in detecting true positives and true negatives compared to CBCL. According to DC: 0-5, it was found that the adjustment was good for total psychopathologies, separation anxiety disorder, social anxiety disorder, and depression (κ = 0.67-0.79), and excellent for GAD and PTSD (κ = 0.81-1.00) CONCLUSION: The validity and reliability obtained from this study are valuable in our country for the objective identification of preschool children showing problematic symptom levels and for distinguishing them from children showing typical characteristics.

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BACKGROUND: The psychiatric intake interview is crucial for the delivery of quality care. Currently, the interview in most public clinics varies in nature. It often consists of a clinical face-to-face interview (structured/unstructured) with or without self-report questionnaires (systematic/non-systematic). By integrating structured computerized self-report questionnaires into the intake, the assessment process could be shortened, and diagnostic accuracy increased. OBJECTIVES: The study aims to assess whether adding structured computerized questionnaires will increase the efficacy of the intake process, as indicates by shortened intakes and a higher level of diagnostic accuracy, for children and adolescents in mental health clinics in Israel. METHODOLOGY: Patients (Mage = 8.62, SDage = 1.86; 33.8% females) referred to the youth mental health clinic of Maccabi HaSharon district, were included in either the CIA group (Comprehensive Intake Assessment - with questionnaires) or IAU group (Intake as Usual - without questionnaires). RESULTS: In terms of accuracy and time measurements, the CIA group had higher diagnostic accuracy and a shorter intake duration of 6.63 min, almost 15% of an intake meeting, compared to the IAU group. No differences were found in satisfaction and therapeutic alliance between the groups. CONCLUSIONS AND IMPLICATIONS: More accurate diagnosis is essential to tailor the appropriate treatment for the child's needs. Moreover, reducing intake time by a few minutes contributes significantly to the ongoing activities of mental health clinics. With this reduction, more intakes can be scheduled at a given time, optimizing the intake process, and reducing long wait times, which are increasing due to the growing demand for psychotherapeutic and psychiatric care.

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The perinatal period is one of increased vulnerability to parents experiencing the onset of, or an increase of existing, obsessive-compulsive disorder (OCD) symptoms. Existing OCD and perinatal mental health best practice guidelines do not detail specific considerations relevant to OCD in the perinatal period ('Perinatal OCD'). Perinatal OCD risks being undiagnosed or misdiagnosed, and subsequently untreated or mistreated, with potential negative impacts for individuals and families experiencing this problem, highlighting the importance of specific guidance. This study employed a modified Delphi survey methodology to establish recommended best practice for the assessment and treatment of perinatal OCD. A literature review identified 103 initial best practice recommendations, and participants suggested 18 further recommendations. These recommendations were rated for importance over three survey rounds by two expert panels, comprising of 15 professionals with clinical or research expertise in perinatal OCD and 14 consumers with lived experience of perinatal OCD. One-hundred and two statements were endorsed for inclusion in the final set of recommendations for clinical best practice with perinatal OCD. These recommendations inform practice across eight themes; psychoeducation, screening, assessment, differential diagnosis, case care considerations, treatment, partners & families, and culture & diversity. This novel study is the first to collate and outline a set of clinical best practice recommendations, developed using the consensus perspectives of both individuals with lived experience and professionals with relevant expertise, for supporting individuals with perinatal OCD and their families. Differences between panel perspectives, and directions for future research are also discussed.

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Introduction: Depression is an affective disorder that contributes to a significant global burden of disease. Measurement-Based Care (MBC) is advocated during the full course management, with symptom assessment being an important component. Rating scales are widely used as convenient and powerful assessment tool, but they are influenced by the subjectivity and consistency of the raters. The assessment of depressive symptoms is usually conducted with a clear purpose and restricted content, such as clinical interviews based on the Hamilton Depression Rating Scale (HAMD), so that the results are easy to obtain and quantify. Artificial Intelligence (AI) techniques are used due to their objective, stable and consistent performance, and are suitable for assessing depressive symptoms. Therefore, this study applied Deep Learning (DL)-based Natural Language Processing (NLP) techniques to assess depressive symptoms during clinical interviews; thus, we proposed an algorithm model, explored the feasibility of the techniques, and evaluated their performance. Methods: The study included 329 patients with Major Depressive Episode. Clinical interviews based on the HAMD-17 were conducted by trained psychiatrists, whose speech was simultaneously recorded. A total of 387 audio recordings were included in the final analysis. A deeply time-series semantics model for the assessment of depressive symptoms based on multi-granularity and multi-task joint training (MGMT) is proposed. Results: The performance of MGMT is acceptable for assessing depressive symptoms with an F1 score (a metric of model performance, the harmonic mean of precision and recall) of 0.719 in classifying the four-level severity of depression and an F1 score of 0.890 in identifying the presence of depressive symptoms. Disscussion: This study demonstrates the feasibility of the DL and the NLP techniques applied to the clinical interview and the assessment of depressive symptoms. However, there are limitations to this study, including the lack of adequate samples, and the fact that using speech content alone to assess depressive symptoms loses the information gained through observation. A multi-dimensional model combing semantics with speech voice, facial expression, and other valuable information, as well as taking into account personalized information, is a possible direction in the future.

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The DSM-5 text revision (DSM-5-TR) is the first published revision of the DSM-5 since its publication in 2013. Like the previous text revision (DSM-IV-TR), the main goal of the DSM-5-TR is to comprehensively update the descriptive text accompanying each DSM disorder on the basis of reviews of the literature over the past 10 years. In contrast to the DSM-IV-TR, in which updates were confined almost exclusively to the text, the DSM-5-TR includes many other changes and enhancements of interest to practicing clinicians, such as the addition of diagnostic categories (prolonged grief disorder, stimulant-induced mild neurocognitive disorder, unspecified mood disorder, and a category to indicate the absence of a diagnosis); the provision of ICD-10-CM symptom codes for reporting suicidal and nonsuicidal self-injurious behavior; modifications, mostly for clarity, of the diagnostic criteria for more than 70 disorders; and updates in terminology (e.g., replacing "neuroleptic medications" with "antipsychotic medications or other dopamine receptor blocking agents" throughout the text and replacing "desired gender" with "experienced gender" in the text for gender dysphoria). Finally, the entire text was reviewed by an Ethnoracial Equity and Inclusion Work Group to ensure appropriate attention to risk factors such as the experience of racism and discrimination, as well as the use of nonstigmatizing language.

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OBJECTIVE: Mental illness is noted for being in one of the first places in global burden of disease in terms of years lived with disability (YLDs). Notably, absences due to mental health problems greatly affect the world of work, and mental illness is one of the most economically important diseases. However, there is a high rate of those not seeking care in mental health, both in the general population but also in workers in private and public sectors with significant economic impacts. The aim of our study was to identify factors associated with low access to specialized psychiatric care among French Public Sector employees referred to a psychiatric expertise upon request from the Departmental Medical Board of Martinique (Comité médical départemental [CMD] de Martinique), between 2000 and 2013. METHODS: We carried out an observational and transversal study, analyzing sociodemographic and clinical data from psychiatric assessments done to help the CMD give notification on the medico-administrative situation of Public Sector employees, a large majority of whom had been on sick leave due to mental health for at least 6 months. The variable of interest - low access to psychiatric care - was defined as the absence of consultation at the time of the assessment provided by a psychiatrist since at least 12 months. Descriptive analyses were performed first, then univariate analysis using a non-adjusted binary logistic regression model, to identify factors associated with low access to psychiatric care. Finally, multivariate analyses using a binary logistic regression model were performed after excluding non-relevant factors (with significance level above 5%) during the univariate analysis. A significance threshold of 0.05 was adopted for all of the statistical analyses. RESULTS: We retrospectively analysed the records of 516 Public Sector employees. Two hundred and ninety-three subjects (57% of the population) had a low access to psychiatric care as part of their regular clinical follow-up, even the 81% who were identified has having had psychiatric antecedents (55% with 'mood disorders', and 17% with 'neurotic, stress-related and somatoform disorders'). Moreover, psychiatric expertise found a psychiatric diagnostic in 96 % of cases, mostly 'mood disorders', 'neurotic, stress-related and somatoform disorders' and 'personality disorders'. For mood disorders, clinical characteristics of episodes were defined as 'severe' or 'with psychotic symptoms' in many cases. Suicidal thoughts were found in 96 subjects (18%) during the expertise. Fewer than half of the subjects (43%) had a specialized psychiatric care (mostly subjects with 'mood disorders' and 'psychotic disorders') and 41% only had care by a general practitioner (mostly subjects with 'neurotic, stress-related and somatoform disorders'). In most of the cases, psychotropic drugs were insufficiently and inadequately prescribed. Using multivariate analysis, we found a significant association between low access to psychiatric care and: being masculine, having had more than two children, having had personal life events (in particular chronic somatic diseases), and having had no history of mental illness or of psychiatric hospitalization. It appears that chronic somatic diseases are frequently associated with psychiatric diseases, and the association worsens the prognosis of the two disorders. However, even if employees with mental disorders associated with chronic somatic diseases are unfit for work, many of them do not have access to mental health care and only have care by a general practitioner. CONCLUSION: More than half of French Public Sector employees referred to the Departmental Medical Board of Martinique for a medico-administrative decision relevant to sick leave due to mental diseases, had low access to specialized psychiatric care. By identifying barriers to care and reasons for not seeking specialized mental health care, we would be able to prevent disability claims and days off work (predicting malaise in the workplace and health-related limitations). Our results demonstrate the need to strengthen existing partnerships, and thus enhancing cooperation between public psychiatric sectors and primary healthcare players, facilitating access to mental healthcare and decreasing the stigma about mental disorders.

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Women who are victims of intimate partner violence often suffer of depression and anxiety disorders. We evaluated the performance of the SRQ-20 scale (screening test for common mental health disorders), in women victims of intimate partner violence by male partners. A total of 100 women were surveyed from the out-patient mental health services in four health institutions in Valle del Cauca (Colombia). SRQ-20 scales (Binary version versus Likert version) were compared with mental health diagnoses based on the HSCL-25 scale, as the gold standard. Optimal SRQ-20 cut-off score is > = 6 points; lower than the initially suggested, sensitivity of 96.6% and specificity of 90.9%. The new SRQ-20-Likert scale, establishing a cut-off of > = 8 points, shows better sensitivity (98.9%) and equal specificity than the original scale. Studied SRQ-20 scales are promising instruments for screening mental health disorders among women victims of intimate partner violence in primary health care settings.

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Background: Which type of information experts use to make decisions regarding legal insanity within forensic psychiatric investigations (FPI) is relatively unknown, both in general and when considering variations due to case context. It is important to explore this area to be able to counteract the effects of various kinds of cognitive bias. Method: The aim was to explore whether FPI expert groups differed regarding case-specific as well as general use of information types required to make decisions on severe mental disorder (SMD). Three FPI case vignettes were presented to three professional groups involved in FPIs in Sweden (n = 41): forensic psychiatrists (n = 15), psychologists (n = 15), and social workers (n = 11). The participants reported which types of information they required to reach conclusions regarding SMD in each case. They also reported which types of information they had used within general FPI praxis during the previous year and the information types' perceived usefulness. Results: The expert groups differed somewhat regarding what type of information they required for the cases (e.g., results from cognitive testing), but some information was required in all cases (e.g., client's self-report). Regarding the preliminary assessment of SMD in the three cases, minor differences were found. Within the general FPI praxis, experts reported using several information types, while the general perceived usefulness of these sources varied. Discussion: The professional groups relied partly on a "core" of information sources, but some case-specific adaptations were found. The professional groups' inclination to suspect SMD also varied somewhat. This indicates a need to explore the potential consequences of these similarities and differences.

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OBJECTIVE: This study aims to compare the reliability and acceptability of psychiatric interviews using telepsychiatry and face-to-face modalities in the emergency room setting. METHODS: In this prospective observational feasibility study, psychiatric patients (n = 38) who presented in emergency rooms between April and June 2020, went through face-to-face and videoconference telepsychiatry interviews in a non-randomised varying order. Interviewers and a senior psychiatry resident who observed both interviews determined diagnosis, recommended disposition and indication for involuntary admission. Patients and psychiatrists completed acceptability post-assessment surveys. RESULTS: Agreement between raters on recommended disposition and indication for involuntary admission as measured by Cohen's kappa was 'strong' to 'almost perfect' (0.84/0.81, 0.95/0.87 and 0.89/0.94 for face-to-face vs. telepsychiatry, observer vs. face-to-face and observer vs. telepsychiatry, respectively). Partial agreement between the raters on diagnosis was 'strong' (Cohen's kappa of 0.81, 0.85 and 0.85 for face-to-face vs. telepsychiatry, observer vs. face-to-face and observer vs. telepsychiatry, respectively).Psychiatrists' and patients' satisfaction rates, and psychiatrists' perceived certainty rates, were comparably high in both face-to-face and telepsychiatry groups. CONCLUSIONS: Telepsychiatry is a reliable and acceptable alternative to face-to-face psychiatric assessments in the emergency room setting. Implementing telepsychiatry may improve the quality and accessibility of mental health services.Key pointsTelepsychiatry and face-to-face psychiatric assessments in the emergency room setting have comparable reliability.Patients and providers report a comparable high level of satisfaction with telepsychiatry and face-to-face modalities in the emergency room setting.Providers report a comparable level of perceived certainty in their clinical decisions based on telepsychiatry and face-to-face psychiatric assessments in the emergency room setting.

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Medical termination of pregnancy when decided for maternal psychosocial distress is a new issue facing maternity field teams. Multidisciplinary work is required, as well as respect for the patients' temporality. The decision is collegial, estimating the least traumatic impact possible for them over the long term. The ethical principles of beneficence and non-maleficence guide the work of the team and the evaluation of the psychiatrist in this context.

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BACKGROUND: The Accredited Persons Programme was introduced in 2003. The relevant Mental Health Acts (NSW) authorised reviews by appropriately credentialed non-medical health professionals as part of the process of detaining and treating a person without consent: an authority previously held by medical officers. Evaluations of the Programme are needed. OBJECTIVE: To compare discharge decisions for hospital-treated deliberate self-poisoning patients made by an Accredited Person and Medical Officers. METHODS: For a 10-year cohort (2003-2012) of index hospital-treated deliberate self-poisoning admissions at the Calvary Mater Newcastle, we compared Accredited Person and Medical Officer discharge decisions from the general hospital. We specifically examined discharges to the psychiatric hospital under a Mental Health Act certificate (used as an index of the Accredited Person's use of the authority under the Accredited Persons Programme) compared to any other discharge destination. Unadjusted and adjusted logistic regression models and a propensity score analysis were used to explore the relationship between clinician type and discharge destination. RESULTS: There were 2237 index assessments (Accredited Person = 884; Medical Officer = 1443). One-quarter (27%) were referred for assessment under the Act at the psychiatric hospital, with the Accredited Person significantly more likely (32%) to require this compared to the Medical Officers (24%); Risk Difference: 8.3% (4.5 to 12.1). However, after adjusting for patient characteristics; Risk Difference: -3.0% (-5.9 to -0.1) and for propensity score, Risk Difference: -3.3% (-6.7 to 0.1), the Accredited Person and Medical Officer likelihood of discharging for an assessment under the Act was similar. CONCLUSIONS: The Accredited Person assessed more clinically complex patients than the Medical Officers. After adjusting for clinical complexity and propensity score, the likelihood of referral for involuntary psychiatric hospital care was similar for Accredited Person and Medical Officers. Our evaluation of the Accredited Person programme in the general hospital was favourable, and wider implementation and evaluation is warranted.

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Dispositional capacity assessment, which evaluates a patient's ability for self-care after hospital discharge, is a novel concept with important implications for work in consultation-liaison, inpatient, and emergency psychiatric settings. In this Open Forum, the authors present an illustrative case, review literature relevant to dispositional capacity, and explore social theory that elucidates the concept. Psychiatrists are specifically positioned to provide leadership in this area. Psychiatrists should consider further developing and formalizing criteria for dispositional capacity assessment.

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