Background The detection of early warning signs is essential in the long-term treatment of bipolar disorders. However, in bipolar patients’ daily life and outpatient treatment the assessment of upcoming state changes faces several difficulties. In this trial, we examine the effectiveness of a smartphone based automated feedback about ambulatory assessed early warning signs in prolonging states of euthymia and therefore preventing hospitalization. This study aims to assess, whether patients experience longer episodes of euthymia, when their treating psychiatrists receive automated feedback about changes in communication and activity. With this additional information an intervention at an earlier stage in the development of mania or depression could be facilitated. We expect that the amount of time will be longer between affective episodes in the intervention group. Methods/design The current study is designed as a randomized, multi-center, observer-blind, active-control, parallel group trial within a nationwide research project on the topic of innovative methods for diagnostics, prevention and interventions of bipolar disorders. One hundred and twenty patients with bipolar disorder will be randomly assigned to (1) the experimental group with included automated feedback or (2) the control group without feedback. During the intervention phase, the psychopathologic state of all participants is assessed every four weeks over 18 months. Kaplan-Meier estimators will be used for estimating the survival functions, a Log-Rank test will be used to formally compare time to a new episode across treatment groups. An intention-to-treat analysis will include data from all randomized patients. Discussion This article describes the design of a clinical trial investigating the effectiveness of a smartphone-based feedback loop. This feedback loop is meant to elicit early interventions at the detection of warning signs for the prevention of affective episodes in bipolar patients. This approach will hopefully improve the chances of a timely intervention helping patients to keep a balanced mood for longer periods of time. In detail, if our hypothesis can be confirmed, clinical practice treating psychiatrists will be enabled to react quickly when changes are automatically detected. Therefore, outpatients would receive an even more individually tailored treatment concerning time and frequency of doctor’s appointments. Trial registration: ClinicalTrials.gov: NCT02782910: Title: “Smartphone-based Ambulatory Assessment of Early Warning Signs (BipoLife_A3)”. Registered May 25 2016. Protocol Amendment Number: 03. Issue Date: 26 March 2018. Author(s): ES.

Abstract Background: The world population is aging and the number of older adults with bipolar disorder is increasing. Digital technologies are viewed as a framework to improve care of older adults with bipolar disorder. This analysis quantifes Internet use by older adults with bipolar disorder as part of a larger survey project about information seeking. Methods: A paper-based survey about information seeking by patients with bipolar disorder was developed and translated into 12 languages. The survey was anonymous and completed between March 2014 and January 2016 by 1222 patients in 17 countries. All patients were diagnosed by a psychiatrist. General estimating equations were used to account for correlated data. Results: Overall, 47% of older adults (age 60 years or older) used the Internet versus 87% of younger adults (less than 60 years). More education and having symptoms that interfered with regular activities increased the odds of using the Internet, while being age 60 years or older decreased the odds. Data from 187 older adults and 1021 younger adults were included in the analysis excluding missing values. Conclusions: Older adults with bipolar disorder use the Internet much less frequently than younger adults. Many older adults do not use the Internet, and technology tools are suitable for some but not all older adults. As more health services are only available online, and more digital tools are developed, there is concern about growing health disparities based on age. Mental health experts should participate in determining the appropriate role for digital tools for older adults with bipolar disorder.

In thesis on the topic "Social work methods used in clients with mental disorders and their effectiveness" I focus on the terminology. I am going to learn basic information about selected mental disorders such as schizophrenia, affective disorders, specifically bipolar disorder, neurotic disorders, specifically obsessive-compulsive disorder and lastly personality disorders, namely borderline personality disorder. Next, I am going to focus on the treatment possibilities of mental disorders, where I speak about the prevention and social worker approach. I continue with social survey and treatment&care for people with mental disorders. Finally, I am going to write about social work methods. The main goal of my thesis was to find what methods of social work are used at work with clients suffering mental disorders. Also if in practice are any methods used and what kind of method is used most often. My next goal was to find out the effectiveness of the methods used in social work. I used survey by a questionnaire. The survey contains 11semi-open questions. After that I concluded that methods of social work are provided to clients with mental disorders and all methods of social work for the mentally ill are used. That means work with an individual, family, group, community, psychiatric rehabilitation,...

Bipolar disorder (BD) is a severe psychiatric diagnosis that is difficult to identify. Diagnostic delays are 5-10 years and cause irreversible harm for the patient and burden health care systems. Health deterioration and societal costs may be avoided if BD were diagnosed and treated at an early stage in the disease progression. BD is supposed to be treated by specialised psychiatric health care, yet primary health care (PHC) is an important part of the process as it is often the first contact of care for patients. It would therefore be of interest to investigate the preconditions of PHC in relation to the process of early detection of BD. PHC is organised by regional administration and due to regional inequality in health care it would also be of interest to apply a geographic perspective, investigating potential geographic variation in preconditions. In this study, PHC professionals from two regions were interviewed using semi-structured interviews and data was thematically analysed. Results present mostly similarities but also some differing preconditions in the regional analysis. The study concludes that PHC has an important in the role of early detection of BD, but also for patients who already received a diagnosed.

Introduktion: Individer som lever med bipolär sjukdom löper högre risk för psykisk ohälsa som orsakar för tidig död och medför lidande för människor globalt. Det framhäver behovet av förebyggande insatser för bipolär sjukdom, vilket gör det till en viktig folkhälsofråga. Syfte: Syftet med studien var att ge en översikt om hur digitala verktyg främjar självständigheten för individer med bipolär sjukdom. Metod: Den här systematiska litteraturstudien inkluderade 15 vetenskapliga artiklar som samlades in från databaserna Pubmed, Cinahl och Web of Science. I analysprocessen av de inkluderade artiklarna användes en tematisk analys. Resultat: Det framkom tre teman utifrån den tematiska analysprocessen, vilka utgör resultatet av studien; Övervakning med stöd av digitala verktyg, användarvänlighet, samt engagemang. Slutsats: Resultatet av studien visar att användningen av digitala applikationer kan användas för att öka självständigheten hos individer som lever med bipolär sjukdom. / Introduction: Individuals living with bipolar disorder are at higher risk of mental illness that causes premature death and human suffering globally. It highlights the need for preventive interventions for bipolar disorder, making it an important public health issue. Aim: The purpose of the study was to provide an overview of how digital tools promote independence for individuals with bipolar disorder. Method: This systematic literature review included 15 scientific articles collected from Pubmed, Cinahl and Web of Science databases. In the analysis process of the included articles, a thematic analysis was used. Results: Three themes emerged from the thematic analysis process, which constitute the result of the study; Monitoring with the support of digital tools, ease of use and commitment. Conclusion: The results of the study show that the use of digital applications can be used to increase the independence of individuals living with bipolar disorder.

Background Lack of coordination between screening studies for common mental disorders in primary care and community epidemiological samples impedes progress in clinical epidemiology. Short screening scales based on the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI), the diagnostic interview used in community epidemiological surveys throughout the world, were developed to address this problem. Method Expert reviews and cognitive interviews generated CIDI screening scale (CIDI-SC) item pools for 30-day DSM-IV-TR major depressive episode (MDE), generalized anxiety disorder (GAD), panic disorder (PD) and bipolar disorder (BPD). These items were administered to 3058 unselected patients in 29 US primary care offices. Blinded SCID clinical reinterviews were administered to 206 of these patients, oversampling screened positives. Results Stepwise regression selected optimal screening items to predict clinical diagnoses. Excellent concordance [area under the receiver operating characteristic curve (AUC)] was found between continuous CIDI-SC and DSM-IV/SCID diagnoses of 30-day MDE (0.93), GAD (0.88), PD (0.90) and BPD (0.97), with only 9–38 questions needed to administer all scales. CIDI-SC versus SCID prevalence differences are insignificant at the optimal CIDI-SC diagnostic thresholds (χ2 1 = 0.0–2.9, p = 0.09–0.94). Individual-level diagnostic concordance at these thresholds is substantial (AUC 0.81–0.86, sensitivity 68.0–80.2%, specificity 90.1–98.8%). Likelihood ratio positive (LR+) exceeds 10 and LR− is 0.1 or less at informative thresholds for all diagnoses. Conclusions CIDI-SC operating characteristics are equivalent (MDE, GAD) or superior (PD, BPD) to those of the best alternative screening scales. CIDI-SC results can be compared directly to general population CIDI survey results or used to target and streamline second-stage CIDIs.

Affective disorders, specifically Major Depressive Disorder and Bipolar Disorders, show high prevalence, relapse rates, and a high likelihood to develop a chronic course. For the past two decades, research has investigated the neural correlates of emotion processing and emotion regulation in patients with affective disorders. Putative underlying causal mechanisms of dysregulated affect have been informed by knowledge from the intersection of neuroimaging and clinical psychology. More recent investigations also consider processing the role of mostly negative, self-blaming social emotions, which have been linked to treatment resistance and, hence, provide a prolific target for intervention. Several psychotherapeutic treatment approaches already focus on emotion, and here specific knowledge about the mechanisms underlying persistent changes in affect bears the potential to improve the treatment of affective disorders. In this narrative review, we delineate why and how our insights into the neural correlates of emotion processing and regulation can be applied to the treatment of patients with affective disorders. / Affektive Störungen, insbesondere die Major Depression und bipolare Störungen, weisen eine hohe Prävalenz, häufige Rückfälle und eine hohe Rate an chronischen Krankheitsverläufen auf. In den letzten zwei Jahrzehnten hat die Forschung die neuronalen Korrelate der Emotionsverarbeitung und -regulation bei Patient_innen mit affektiven Störungen untersucht. Die mutmaßlichen Mechanismen der gestörten Affektregulation wurden durch Erkenntnisse aus der biologischen und klinischen Psychologie untermauert. Neuere Untersuchungen befassen sich auch mit selbstbeschuldigenden sozialen Emotionen, die mit Behandlungsresistenz in Verbindung gebracht werden und daher ein ergiebiges Ziel für Interventionen darstellen. Psychotherapeutische Behandlungsansätze konzentrieren sich bereits auf die emotionale Verarbeitung, jedoch birgt hier spezifisches Wissen über die Mechanismen, die anhaltenden affektiven Veränderungen zugrunde liegen, das Potenzial, die Behandlung von affektiven Störungen zu verbessern. In dieser narrativen Übersichtsarbeit wird dargelegt, warum und wie unsere Erkenntnisse über die neuronalen Korrelate der Emotionsverarbeitung und -regulation bei der Behandlung von Patient_innen mit affektiven Störungen eingesetzt werden können.

INTRODUÇÃO: Os transtornos mentais psicóticos são condições frequentes na população em geral e estão associados à grande morbidade e elevadas taxas de comprometimento funcional, tornando-os um grave problema de saúde pública. O desenvolvimento de novos métodos de auxílio diagnóstico e prognóstico a pratica clínica psiquiátrica possibilitando que intervenções efetivas sejam feitas precocemente na história natural da doença são, dessa forma, desejáveis. A classificação de padrões neuroanatômicos é uma robusta técnica para processamento e análise de imagens médicas que permite tanto a realização de comparações voxel-a-voxel entre grupos com alta dimensionalidade de variáveis, como a classificação individualizada das imagens. OBJETIVOS: Avaliar o desempenho diagnóstico de um classificador de padrões morfológicos complexos baseado em support vector machine (SVM) na discriminação entre diferentes transtornos psicóticos no momento do primeiro episódio, utilizando-se uma abordagem epidemiológica para a seleção de casos e controles, bem como na determinação de prognóstico de 1 ano em pacientes com primeiro episódio de esquizofrenia. MÉTODOS: Uma amostra de 62 pacientes com primeiro episódio de esquizofrenia/ transtorno esquizofreniforme, 23 casos de primeiro episódio de mania psicótica (transtorno bipolar tipo I, TB-I), e 19 indivíduos com depressão maior (DM) psicótica foram estudados com ressonância magnética (RM) estrutural de 1.5T, assim como um total de 89 controles residentes na mesma região dos casos. As imagens T1 foram inicialmente registradas a uma imagem molde comum através de um método com preservação de massa, permitindo a obtenção de volumes cerebrais regionais. Um classificador neuroanatômico multivariado baseado em redução de dimensionalidade e SVM foi utilizado para identificar o melhor conjunto de características morfológicas que diferencia cada transtorno psicótico (esquizofrenia/ transtorno esquizofreniforme, TB-I e DM psicótica) de subgrupos de controles saudáveis pareados por idade, gênero e anos de escolaridade. Os resultados obtidos pelo classificador foram, então, analisados com o auxílio de uma curva ROC, e um mapa espacial de alta dimensionalidade daquelas regiões cerebrais que constituem um padrão de distribuição tecidual cerebral característico de cada transtorno psicótico em relação aos controles foi gerado. RESULTADOS: O classificador obteve uma discriminação apenas modesta entre pacientes com primeiro episódio de esquizofrenia/ transtorno esquizofreniforme e controles saudáveis, com uma medida de área sob a curva (AUC) de 0,75 e acurácia de 73,4%. O mapa espacial discriminatório resultante mostrou um padrão complexo de alterações volumétricas comprometendo regiões fronto-límbicas tanto de substância cinzenta como de substância branca cerebral bilateralmente, fascículos cerebrais associativos, terceiro ventrículo e o ventrículo lateral esquerdo. Um desempenho diagnóstico pobre foi observado nas comparações entre pacientes com TB-I e MD psicótica e controles. Além disso, o classificador baseado em SVM não conseguiu predizer satisfatoriamente o prognóstico de 1 ano (evolução de remissão versus não remissão) dos pacientes com primeiro episódio de esquizofrenia. CONCLUSÃO: Utilizando uma amostra de pacientes com psicoses afetivas e não afetivas com características clínicas semelhantes aos pacientes vistos na nossa prática psiquiátrica (comorbidade com transtornos de uso de substâncias e curso clínico variável) e selecionados através de uma abordagem epidemiológica populacional, o classificador de padrões neuroanatômicos não obteve bom desempenho diagnóstico na discriminação entre as formas esquizofreniformes e afetivas de primeiro episódio psicótico, e também não conseguiu predizer satisfatoriamente o prognóstico de 1 ano em primeiro episódio de esquizofrenia, utilizando apenas imagens estruturais de RM / INTRODUCTION: Psychotic disorders are prevalent medical conditions in the general population, and are usually associated with high morbidity and functional impairment rates, which make them a major concern for public health. The development of new methods aiming to aid diagnostic and prognostic value in clinical psychiatric practice thus allowing effective interventions at an early course of the illness are, therefore, desirable. Neuroanatomical pattern classification is a powerful technique for image processing and analysis which allows both high-dimensional voxelwise group comparisons and classification of images at an individual basis. OBJECTIVES: To evaluate the diagnostic performance of a support vector machine (SVM)-based complex morphological pattern classifier was used to discriminate different non-affective and affective psychotic disorders at the first episode using a population-based approach to recruit both cases and healthy controls, and also to predict 1-year prognosis (i.e., remitting versus non-remitting course) in a group of patients with first-episode schizophrenia. METHODS: A sample of 62 patients with first-episode schizophrenia/ schizophreniform disorder, 23 cases presenting with their first-episode of psychotic mania (bipolar I disorder, BD-I) and 19 individuals with psychotic major depressive disorder (MDD) was studied with 1.5T structural magnetic resonance imaging (MRI), as well as a pool of 89 epidemiologically recruited controls. T1-weighted images were first registered to a common template through a robust mass-preserving routine allowing regional volumetric analysis. A high-dimensional multivariate classification method based on dimensionality reduction and SVM was employed to identify the best and most parsimonious set of morphological features that discriminate each psychotic group (schizophrenia/ schizophreniform disorder, BD-I & psychotic MDD) from subgroups of age, gender and educationally-matched healthy controls. The abnormalities scores generated by the classifier were analyzed with a ROC curve analysis and a high-dimensional spatial map of the brain regions that constitute a pattern of brain tissue distribution characteristic of each of the non-affective and affective groups relative to controls was created. RESULTS: The SVM-classifier afforded modest discrimination between subjects with first-episode schizophrenia/ schizophreniform disorder and controls, with an area under the curve (AUC) value of 0.75 and overall accuracy of 73.4%. The resulting discriminative spatial map revealed a complex pattern of regional volumetric abnormalities affecting both gray and white matter fronto-limbic regions bilaterally, long associative fasciculi, besides the third and lateral ventricles. A poor diagnostic performance was observed in the pairwise comparisons between BD-I and psychotic MDD versus controls. Also, the SVM-classifier failed to predict 1-year prognosis (remitting versus non-remitting course) in the first-episode schizophrenia group. CONCLUSION: The present results suggest that at the population level and using a real world sample of affective and non-affective psychotic patients with comorbid substance use disorders and variable disease course, we failed to achieve good discrimination between schizophreniform and affective forms of first-episode psychosis, and also in predicting 1-year prognosis of first-episode schizophrenia patients, using structural images

This essay examines how the Norwegian web series SKAM presents mental illness; how discourse structures concerning mental illnesses are consolidated and challenged. Our analysis examines seasons one, two and three. The essay is based on Stuart Hall's representation theory, Michel Foucault's theories about madness, and Norman Fairclough's discourse theory. The starting point of the methodology used in this study is a critical discourse analysis based on Norman Fairclough's three-dimensional model. The analysis primarily examines three levels: textual level, dialogues of the characters, and visual expression apparent in the scenography of the series. We analyze how the format is used, how the story is distributed through web and social media, and how this relates to a larger social context in addition to how the narrative of mental illness is inevitably part of cultural, institutional, and social order. Our findings reveal that SKAM reinforces cultural beliefs about mental ill health by representing mental illnesses as taboo and stigmatized as well as as being a problem that is (primarily) at the individual level. Mental illness in the series is presented as a threat to community norms where mental ill health is presented at an individual level and not as a product of society's constructed desires or structural problems. The series presents very limited help for the mentally ill. The absence of acceptance of and cure for the mentally ill causes them to wind up outside society and they have greater difficulty contributing in manners similar to those of healthy, working people. / Denna uppsats undersöker hur webbserien SKAM representerar psykisk ohälsa; på vilket sätt diskursiva konstruktioner kring psykiska sjukdomar befästs och utmanas. För att analysera detta undersöks säsong ett, två och tre. Uppsatsen bygger på Stuart Halls representationsteori, Michel Foucaults teorier kring vansinnet och Norman Faircloughs diskursteori. Den metodologi som används för studien är en kritisk diskursanalys där Norman Faircloughs tredimensionella modell är utgångspunkt. Analysen sker främst på tre olika nivåer: textuell nivå; karaktärernas dialoger och seriens visuella uttryck. Hur formatet används; hur berättelsen distribueras genom webb och sociala medier. Samt hur detta sker i en större social kontext; hur berättelsen om psykisk ohälsa ofrånkomligen också är en del av en kulturell, institutionell och samhällelig ordning. Vårt resultat visar att SKAM befäster kulturella föreställningar kring psykisk ohälsa genom att representera psykiska sjukdomar som tabubelagda och stigmatiserade samt som ett problem som (främst) ligger på individnivå. De psykiskt sjuka i serien framställs som hot mot samhällets normer där den psykiska ohälsan läggs på individnivå och inte som en produkt av samhällets konstruerade begär eller strukturella problem. Mycket begränsad hjälp till psykiskt sjuka presenteras i serien. Utlämnandet av acceptans och botemedel för de psykiskt sjuka medför att de hamnar utanför samhället och får svårare att bidra på samma sätt som en frisk, arbetande person kan.

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