Low Level of Agreement Between Self-Report and Clinical Assessment of Passive Suicidal Ideation.

OBJECTIVE: Discrepancies between patient reports during clinical evaluations and self-reported suicide ideation are of vital importance. We study the agreement in passive suicidal ideation between reports made by clinicians and patients' self-reports. METHOD: Wish of death in 648 outpatients was assessed by attending clinicians. Within 24 h after clinical evaluation, patients completed a self-report questionnaire in which they were asked whether they had no desire to live. We used cluster analysis to determine the clinical profile of a population of patients according to the concordance between reports made by clinicians and self-reported information. RESULTS: A low level of agreement (kappa = 0.072) was found between clinicians and patients, as 56.4% (n = 366) of clinician reports classified as containing no death-related ideas although on self-report the patient did state that they had no desire to live. In this group containing discrepancies between the two reports, two clusters were found to have shared characteristics: female sex, middle age, cohabitation, active employment, no history of suicidal behavior, and diagnosis of neurotic, stress-related, and somatoform disorders. In a third, more severe cluster, patients self-reported sleep disturbances, less appetite, poor treatment adherence, and aggressiveness. CONCLUSIONS: We found low agreement between self-reports and clinician assessments regarding the death wish. Self-reporting may be useful in assessing suicide risk. HIGHLIGHTSLow agreement was found between self-reports and clinician assessments regarding passive suicidal ideation.Most patients in whom the clinician underestimated the risk of suicide were women.Our results suggest that clinicians require adequate documentation of suicidal risk assessment to identify the high-risk population.

Early administration of aripiprazole long-acting injectable in acute inpatients with schizophrenia: a clinical report.

Fifty-one patients suffering an acute episode of schizophrenia and treated with aripiprazole long-acting injectable (ALAI) were chosen to elaborate an observational study in two in-patient units in Spain, in order to examine the effects of early administration during a hospital admission. When treatment with ALAI is administered in the first week of admission (in 31 patients, 60.78%), hospitalization time is significantly reduced, 12.1 days on average. It can be concluded that ALAI is an effective treatment for these patients. Analysis in economic terms and comparison with other LAI antipsychotics are interesting lines for further research.

Transición de la atención en salud mental infantil y adolescentes a la atención en adultos: un desafío no resuelto y una oportunidad / Transitioning from the child and adolescent to the adult mental health services: an unresolved challenge and an opportunity

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Ecological Assessment of Clinicians' Antipsychotic Prescription Habits in Psychiatric Inpatients: A Novel Web- and Mobile Phone-Based Prototype for a Dynamic Clinical Decision Support System.

BACKGROUND: Electronic prescribing devices with clinical decision support systems (CDSSs) hold the potential to significantly improve pharmacological treatment management. OBJECTIVE: The aim of our study was to develop a novel Web- and mobile phone-based application to provide a dynamic CDSS by monitoring and analyzing practitioners' antipsychotic prescription habits and simultaneously linking these data to inpatients' symptom changes. METHODS: We recruited 353 psychiatric inpatients whose symptom levels and prescribed medications were inputted into the MEmind application. We standardized all medications in the MEmind database using the Anatomical Therapeutic Chemical (ATC) classification system and the defined daily dose (DDD). For each patient, MEmind calculated an average for the daily dose prescribed for antipsychotics (using the N05A ATC code), prescribed daily dose (PDD), and the PDD to DDD ratio. RESULTS: MEmind results found that antipsychotics were used by 61.5% (217/353) of inpatients, with the largest proportion being patients with schizophrenia spectrum disorders (33.4%, 118/353). Of the 217 patients, 137 (63.2%, 137/217) were administered pharmacological monotherapy and 80 (36.8%, 80/217) were administered polytherapy. Antipsychotics were used mostly in schizophrenia spectrum and related psychotic disorders, but they were also prescribed in other nonpsychotic diagnoses. Notably, we observed polypharmacy going against current antipsychotics guidelines. CONCLUSIONS: MEmind data indicated that antipsychotic polypharmacy and off-label use in inpatient units is commonly practiced. MEmind holds the potential to create a dynamic CDSS that provides real-time tracking of prescription practices and symptom change. Such feedback can help practitioners determine a maximally therapeutic drug treatment while avoiding unproductive overprescription and off-label use.

Development of a Web-Based Clinical Decision Support System for Drug Prescription: Non-Interventional Naturalistic Description of the Antipsychotic Prescription Patterns in 4345 Outpatients and Future Applications.

PURPOSE: The emergence of electronic prescribing devices with clinical decision support systems (CDSS) is able to significantly improve management pharmacological treatments. We developed a web application available on smartphones in order to help clinicians monitor prescription and further propose CDSS. METHOD: A web application (www.MEmind.net) was developed to assess patients and collect data regarding gender, age, diagnosis and treatment. We analyzed antipsychotic prescriptions in 4345 patients attended in five Psychiatric Community Mental Health Centers from June 2014 to October 2014. The web-application reported average daily dose prescribed for antipsychotics, prescribed daily dose (PDD), and the PDD to defined daily dose (DDD) ratio. RESULTS: The MEmind web-application reported that antipsychotics were used in 1116 patients out of the total sample, mostly in 486 (44%) patients with schizophrenia related disorders but also in other diagnoses. Second generation antipsychotics (quetiapine, aripiprazole and long-acting paliperidone) were preferably employed. Low doses were more frequently used than high doses. Long acting paliperidone and ziprasidone however, were the only two antipsychotics used at excessive dosing. Antipsychotic polypharmacy was used in 287 (26%) patients with classic depot drugs, clotiapine, amisulpride and clozapine. CONCLUSIONS: In this study we describe the first step of the development of a web application that is able to make polypharmacy, high dose usage and off label usage of antipsychotics visible to clinicians. Current development of the MEmind web application may help to improve prescription security via momentary feedback of prescription and clinical decision support system.

Coprophagia in a patient with borderline personality disorder

Background and Objectives: Human coprophagia is a rare phenomenon with severe medical and social consequences. So far, coprophagia has mainly been associated with severe mental retardation, schizophrenia, dementia, and depression. We report a caseof coprophagia in a 30-year-old woman with Borderline Personality Disorder (DSM-IV).This case report illustrates the severity of symptoms and maladaptive social consequences of severe personality disorders, comparable to those of patients with schizophrenia. Pharmacological interventions and, particularly intensive psychotherapy might be effective for patients diagnosed with borderline personality disorder displaying severe behavior disorders. The treatment of choice for coprophagia is aversive behavioral intervention (AU)

Sibship size, birth order, family structure and childhood mental disorders.

PURPOSE: The aim of this study was to determine the role that birth order, sibship size and family structure have as risk factors in the development of common childhood mental disorders. METHOD: A case-control study design was conducted (N = 16,823). The group under study consisted of all those subjects who had consulted with a psychiatrist/psychologist and had received a clinical diagnosis at public mental health centres within the Region of Madrid (Spain), between 1980 and 2008. A multiple logistic regression was used to explore the independent association with each diagnosis: emotional disorders (ED) with onset specific to childhood, attention deficit hyperactivity disorder (ADHD), conduct disorder (CD), mental retardation (MR), and pervasive developmental disorder (PDD). RESULTS: Birth order and family structure significantly predicted the risk of being diagnosed with ED or ADHD. In addition, sibship size and sex predicted the risk of being diagnosed with a childhood mental disorder. CONCLUSIONS: We concluded that being the middle child and living with both biological parents appear to be protective factors against the development of ED or ADHD. Living in large families appears to increase the risk of receiving a CD, MR, or PDD diagnosis. Further research is warranted.