34 research outputs found

    Determinants of costs of care for patients attending primary care

    Get PDF
    Aims: We aimed to evaluate determinants of costs of somatic and psychiatric care forpatients attending primary care (PrC).Methods: 495 PrC patients filled in a questionnaire including questions on background,health behaviour, social contacts, perceived health and depressive symptoms. Costs ofsomatic and psychiatric care were obtained from the local healthcare register.Results: During 5 years’ follow-up, total inflation-adjusted costs of care were 8145 Eurosper capita in 2010 prices: 87.2% was due to somatic and 12.8% to psychiatric care. Ageassociated positively, but being single and working associated negatively with costsof somatic care. Costs of psychiatric care were high in young adults, single,divorced, unemployed, smokers, and those with few social contacts. In zero-inflatedmultivariate modelling, poor perceived health and being retired increased probabilityof seeking somatic care. Depressive symptoms and being unemployed increased, and oldage decreased probability of seeking psychiatric care.Concerning both services together, poor perceived health and being retired associatedwith increased, but depressive symptoms with decreased likelihood of being a serviceuser. Among service users, age group 25-44 and having poor perceived health associatedwith higher costs of care. Female gender, being single, employed, having low educationlevel, regular user of alcohol and regular physical exercise associated with lowercosts of care.Conclusions: In patients attending PrC, more than a tenth of total costs of care weredue to psychiatric care. Patients’ perceived health associated with costs of somatic,and depressive symptoms with costs of psychiatric care. Sociodemographic backgroundalso associated with costs of care.</p

    A study on the association of psychiatric diagnoses and childhood adversities with suicide risk

    Get PDF
    Background: In addition to psychiatric disorders, childhood adversities may increase the risk of suicidal behavior. In previous studies, the effects of clinical co-morbidity and overlap of childhood adversities has rarely been taken into account. Aim: The study aims to search associations of psychiatric diagnoses and childhood adversities and trauma (CAT) with suicide risk. Methods: Altogether 415 adult patients attending primary and psychiatric outpatient care filled in the Trauma and Distress Scale, including assessment of five core CAT domains (emotional, physical and sexual abuse, and emotional and physical neglect). The study patients' current psychiatric disorders and suicide risk were assessed by the Mini International Neuropsychiatric Interview. Results: Age, poor perceived health, poor social support, current psychiatric treatment, all psychiatric disorders, except hypomania, emotional and physical abuse, and emotional neglect did associate significantly with suicide risk. Number of psychiatric disorders and CAT domains had dose-dependent effects on suicide risk. In multivariate analysis, current psychiatric treatment, current and life-time major depression, social phobia, alcohol, and drug dependency, as well as emotional abuse had direct associations with suicide risk. In females, manic disorders and drug dependence, and in males, dysthymia, social phobia, and emotional abuse associated with suicide risk. Conclusions: Psychiatric disorders and most CAT domains associate with suicide risk. However, when the effect of co-morbidity and overlap of CAT domains is controlled, major depression, social phobia, alcohol, and drug dependency and emotional abuse seem to increase the risk of suicide. The risk profile varies between the genders.</div

    Extrapyramidal symptoms predict cognitive performance after first-episode psychosis

    Get PDF
    Publisher Copyright: © 2022, The Author(s).Extrapyramidal (EP) symptoms such as tremor, rigidity, and bradykinesia are common side effects of most antipsychotics, and may associate with impaired performance in neurocognitive testing. We studied EP symptoms in first-episode psychosis (FEP; n = 113). Cognitive testing and EP symptoms (three items of the Simpson-Angus Scale) were assessed at baseline and follow-up (mean follow-up time 12 months). Mild EP symptoms were present at treatment onset in 40% of the participants. EP symptoms were related with lower performance in neurocognitive testing at baseline and at follow-up, especially among those with nonaffective psychotic disorder, and especially in tasks requiring speed of processing. No associations between EP symptoms and social cognition were detected. In linear regression models, when positive and negative symptom levels and chlorpromazine equivalents were accounted for, baseline EP symptoms were associated with worse baseline global neurocognition and visuomotor performance. Baseline EP symptoms also longitudinally predicted global, verbal, and visuomotor cognition. However, there were no cross-sectional associations between EP symptoms and cognitive performance at follow-up. In sum, we found both cross-sectional and longitudinal associations between EP symptoms and neurocognitive task performance in the early course of psychosis. Those without EP symptoms at the start of treatment had higher baseline and follow-up neurocognitive performance. Even mild EP symptoms may represent early markers of long-term neurocognitive impairment.Peer reviewe

    Selection bias in clinical studies of first-episode psychosis: A follow-up study

    Get PDF
    Objectives: Selection bias is a concern in studies on psychotic disorders due to high dropout rates and many eligibility criteria for inclusion. We studied how representative the first-episode psychosis study sample in the Turku Early Psychosis Study (TEPS) was.Methods: We screened 3772 consecutive admissions to the clinical psychiatric services of Turku Psychiatry, Finland, between October 2011 and June 2016. A total of 193 subjects had first-episode psychosis and were suitable for TEPS. Out of 193 subjects, 101 participated (PA) and 92 did not participate (NPA) in TEPS due to refusal or contact problems. We retrospectively used patient register data to study whether NPA and PA groups differed in terms of clinical outcomes during 1-year follow-up.Results: In overall sample, the NPA group had a significantly higher rate of discontinuation of clinical treatment than the PA group (48.9 % vs 29.7 %, p = 0.01). In the hospital-treated subsample chi-square tests did not indicate statistically significant differences between the NPA and PA groups in the rate of involuntary care (69.7 % vs 62.7 %, p = 0.34), coercive measures (36.0 % vs 22.7 %, p = 0.06), and readmissions during the follow-up (41.5 % vs 33.8 %, p = 0.31), respectively.Conclusion: The differences in clinical outcomes and treatment characteristics in the non-participating and participating groups were relatively modest. The results do not support a major sample selection bias that would complicate the interpretation of results in this first-episode psychosis study.</p

    Extrapyramidal symptoms predict cognitive performance after first-episode psychosis

    Get PDF
    Extrapyramidal (EP) symptoms such as tremor, rigidity, and bradykinesia are common side effects of most antipsychotics, and may associate with impaired performance in neurocognitive testing. We studied EP symptoms in first-episode psychosis (FEP; n = 113). Cognitive testing and EP symptoms (three items of the Simpson-Angus Scale) were assessed at baseline and follow-up (mean follow-up time 12 months). Mild EP symptoms were present at treatment onset in 40% of the participants. EP symptoms were related with lower performance in neurocognitive testing at baseline and at follow-up, especially among those with nonaffective psychotic disorder, and especially in tasks requiring speed of processing. No associations between EP symptoms and social cognition were detected. In linear regression models, when positive and negative symptom levels and chlorpromazine equivalents were accounted for, baseline EP symptoms were associated with worse baseline global neurocognition and visuomotor performance. Baseline EP symptoms also longitudinally predicted global, verbal, and visuomotor cognition. However, there were no cross-sectional associations between EP symptoms and cognitive performance at follow-up. In sum, we found both cross-sectional and longitudinal associations between EP symptoms and neurocognitive task performance in the early course of psychosis. Those without EP symptoms at the start of treatment had higher baseline and follow-up neurocognitive performance. Even mild EP symptoms may represent early markers of long-term neurocognitive impairment.</p

    Short-term functional outcome in psychotic patients: results of the Turku early psychosis study (TEPS)

    Get PDF
    Background Functional recovery of patients with clinical and subclinical psychosis is associated with clinical, neuropsychological and developmental factors. Less is known about how these factors predict functional outcomes in the same models. We investigated functional outcomes and their predictors in patients with first-episode psychosis (FEP) or a confirmed or nonconfirmed clinical high risk of psychosis (CHR-P vs. CHR-N). Methods Altogether, 130 patients with FEP, 60 patients with CHR-P and 47 patients with CHR-N were recruited and extensively examined at baseline (T0) and 9 (T1) and 18 (T2) months later. Global Assessment of Functioning (GAF) at T0, T1 and T2 and psychotic, depression, and anxiety symptoms at T1 and T2 were assessed. Functional outcomes were predicted using multivariate repeated ANOVA. Results During follow-up, the GAF score improved significantly in patients with FEP and CHR-P but not in patients with CHR-N. A single marital status, low basic education level, poor work situation, disorganization symptoms, perceptual deficits, and poor premorbid adjustment in patients with FEP, disorganization symptoms and poor premorbid adjustment in patients with CHR-P, and a low basic education level, poor work situation and general symptoms in patients with CHR-N predicted poor functional outcomes. Psychotic symptoms at T1 in patients with FEP and psychotic and depression symptoms at T1 and anxiety symptoms at T2 in patients with CHR-P were associated with poor functioning. Conclusions In patients with FEP and CHR-P, poor premorbid adjustment and disorganization symptomatology are common predictors of the functional outcome, while a low education level and poor work situation predict worse functional outcomes in patients with FEP and CHR-N. Interventions aimed at improving the ability to work and study are most important in improving the functioning of patients with clinical or subclinical psychosis.</p

    Psykoosipotilaiden toimintakyvyn ennuste ja sitä ennustavat tekijät

    Get PDF
    TAUSTA. Tavoitteenamme oli tutkia luonnollisessa tutkimusasetelmassa psykoosin ja psykoosiriskin vuoksi ensi kertaa hoitoon tulleiden potilaiden toimintakyvyn ennustetta ja siihen vaikuttavia tekijöitä.AINEISTO JA MENETELMÄT. Tutkimusaineisto koostui 130 psykoosi- ja 107 psykoosiriskipotilaasta, joille tehtiin alkuhaastattelun jälkeen seurantahaastattelu yhdeksän ja 18 kuukauden kuluttua. Seurannan perusteella muodostettiin hyvän ja huonon ennusteen ryhmät, joita selitettiin logistisella regressioanalyysillä.TULOKSET JA PÄÄTELMÄT. Psykoosi- ja riskipotilaiden toimintakyvyn ennusteissa ei ollut eroa. Hyvä ennuste yhdistyi naissukupuoleen, lapsuuden sosiaalisuuteen, koulumenestykseen ja vähäisiin traumakokemuksiin sekä hyvään koulutustasoon ja työtilanteeseen. Oireista tunneköyhyys ja ajattelun hajanaisuus liittyvät huonoon ennusteeseen. Monimuuttuja-analyysissä naimattomuus, lapsuuden traumakokemukset ja heikko koulumenestys, huono työtilanne sekä tunneköyhyys ja ajattelun hajanaisuus ennustivat huonoa toimintakykyä. Koulutuksen ja työteon tukemiseen liittyvät kuntoutustoimenpiteet ovat keskeisiä pyrittäessä parantamaan psykoosipotilaiden ja psykoosiriskissä olevien potilaiden toimintakykyä.</p

    Relationship of suicide rates with climate and economic variables in Europe during 2000-2012

    Get PDF
    The derived models explained 62.4 % of the variability of male suicidal rates. Economic variables alone explained 26.9 % and climate variables 37.6 %. For females, the respective figures were 41.7, 11.5 and 28.1 %. Male suicides correlated with high unemployment rate in the frame of high growth rate and high inflation and low GDP per capita, while female suicides correlated negatively with inflation. Both male and female suicides correlated with low temperature. Data from 29 European countries covering the years 2000-2012 and concerning male and female standardized suicidal rates (according to WHO), economic variables (according World Bank) and climate variables were gathered. The statistical analysis included cluster and principal component analysis and categorical regression. It is well known that suicidal rates vary considerably among European countries and the reasons for this are unknown, although several theories have been proposed. The effect of economic variables has been extensively studied but not that of climate. The current study reports that the climatic effect (cold climate) is stronger than the economic one, but both are present. It seems that in Europe suicidality follows the climate/temperature cline which interestingly is not from south to north but from south to north-east. This raises concerns that climate change could lead to an increase in suicide rates. The current study is essentially the first successful attempt to explain the differences across countries in Europe; however, it is an observational analysis based on aggregate data and thus there is a lack of control for confounders. RESULTS METHODS BACKGROUND DISCUSSIO

    Staging of Schizophrenia with the Use of PANSS: An International Multi-Center Study

    Get PDF
    Introduction: A specific clinically relevant staging model for schizophrenia has not yet been developed. The aim of the current study was to evaluate the factor structure of the PANSS and develop such a staging method.Methods: Twenty-nine centers from 25 countries contributed 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Analysis of covariance, Exploratory Factor Analysis, Discriminant Function Analysis, and inspection of resultant plots were performed.Results: Exploratory Factor Analysis returned 5 factors explaining 59% of the variance (positive, negative, excitement/hostility, depression/anxiety, and neurocognition). The staging model included 4 main stages with substages that were predominantly characterized by a single domain of symptoms (stage 1: positive; stages 2a and 2b: excitement/hostility; stage 3a and 3b: depression/anxiety; stage 4a and 4b: neurocognition). There were no differences between sexes. The Discriminant Function Analysis developed an algorithm that correctly classified >85% of patients.Discussion: This study elaborates a 5-factor solution and a clinical staging method for patients with schizophrenia. It is the largest study to address these issues among patients who are more likely to remain affiliated with mental health services for prolonged periods of time.<br /

    Traces of trauma – a multivariate pattern analysis of childhood trauma, brain structure and clinical phenotypes

    Get PDF
    Background: Childhood trauma (CT) is a major yet elusive psychiatric risk factor, whose multidimensional conceptualization and heterogeneous effects on brain morphology might demand advanced mathematical modeling. Therefore, we present an unsupervised machine learning approach to characterize the clinical and neuroanatomical complexity of CT in a larger, transdiagnostic context. Methods: We used a multicenter European cohort of 1076 female and male individuals (discovery: n = 649; replication: n = 427) comprising young, minimally medicated patients with clinical high-risk states for psychosis; patients with recent-onset depression or psychosis; and healthy volunteers. We employed multivariate sparse partial least squares analysis to detect parsimonious associations between combinations of items from the Childhood Trauma Questionnaire and gray matter volume and tested their generalizability via nested cross-validation as well as via external validation. We investigated the associations of these CT signatures with state (functioning, depressivity, quality of life), trait (personality), and sociodemographic levels. Results: We discovered signatures of age-dependent sexual abuse and sex-dependent physical and sexual abuse, as well as emotional trauma, which projected onto gray matter volume patterns in prefronto-cerebellar, limbic, and sensory networks. These signatures were associated with predominantly impaired clinical state- and trait-level phenotypes, while pointing toward an interaction between sexual abuse, age, urbanicity, and education. We validated the clinical profiles for all three CT signatures in the replication sample. Conclusions: Our results suggest distinct multilayered associations between partially age- and sex-dependent patterns of CT, distributed neuroanatomical networks, and clinical profiles. Hence, our study highlights how machine learning approaches can shape future, more fine-grained CT research
    corecore