Exploring the associations between auditory hallucinations and psychopathological experiences in 10,933 patient narratives: moving beyond diagnostic categories and surveys.

BACKGROUND: Previous research suggests that auditory hallucinations are prevalent within both the clinical and general populations. Yet, we know little about how these phenomena are associated with other psychopathology symptoms and experiences. The current study aids investigations towards preventing, predicting and more effectively responding to such distressing occurrences. There have been substantial efforts in the literature to propose models of auditory hallucination and attempts to verify them. However, many of these studies used survey methods that restrict the person's responses to a set of pre-defined criteria or experiences and do not allow exploration of potential important other symptoms beyond them. This is the first study to explore the correlates of auditory hallucination using a qualitative dataset consisting of unrestricted responses of patients about their lived experiences with mental illness. METHOD: The study used a dataset consisting of 10,933 narratives from patients diagnosed with mental illnesses. For analysis, the study used correlation on the text-based data. This approach is an alternative to the knowledge-based approach where experts manually read the narratives and infer the rules and relationships from the dataset. RESULT: This study found at least 8 correlates of auditory hallucination (small correlation coefficients), with the unusual ones being "pain." The study also found that auditory hallucinations were independent of obsessive thoughts and compulsive behaviours, and dissociation, in contrast with the literature. CONCLUSION: This study presents an innovative approach to explore the possible associations between symptoms without the restrictions of (or outside the confines of) traditional diagnostic categories. The study exemplified this by finding the correlates of auditory hallucination. However, any other symptom or experience of interest can be studied similarly. Potential future directions of these findings are discussed in the context of mental healthcare screening and treatment.

What can we learn about the psychiatric diagnostic categories by analysing patients' lived experiences with Machine-Learning?

BACKGROUND: To deliver appropriate mental healthcare interventions and support, it is imperative to be able to distinguish one person from the other. The current classification of mental illness (e.g., DSM) is unable to do that well, indicating the problem of diagnostic heterogeneity between disorders (i.e., the disorder categories have many common symptoms). As a result, the same person might be diagnosed with two different disorders by two independent clinicians. We argue that this problem might have resulted because these disorders were created by a group of humans (APA taskforce members) who relied on more intuition and consensus than data. Literature suggests that human-led decisions are prone to biases, group-thinking, and other factors (such as financial conflict of interest) that can enormously influence creating diagnostic and treatment guidelines. Therefore, in this study, we inquire that if we prevent such human intervention (and thereby their associated biases) and use Artificial Intelligence (A.I.) to form those disorder structures from the data (patient-reported symptoms) directly, then can we come up with homogenous clusters or categories (representing disorders/syndromes: a group of co-occurring symptoms) that are adequately distinguishable from each other for them to be clinically useful. Additionally, we inquired how these A.I.-created categories differ (or are similar) from human-created categories. Finally, to the best of our knowledge, this is the first study, that demonstrated how to use narrative qualitative data from patients with psychopathology and group their experiences using an A.I. Therefore, the current study also attempts to serve as a proof-of-concept. METHOD: We used secondary data scraped from online communities and consisting of 10,933 patients' narratives about their lived experiences. These patients were diagnosed with one or more DSM diagnoses for mental illness. Using Natural Language Processing techniques, we converted the text data into a numeric form. We then used an Unsupervised Machine Learning algorithm called K-Means Clustering to group/cluster the symptoms.  RESULTS: Using the data mining approach, the A.I. found four categories/clusters formed from the data. We presented ten symptoms or experiences under each cluster to demonstrate the practicality of application and understanding. We also identified the transdiagnostic factors and symptoms that were unique to each of these four clusters. We explored the extent of similarities between these clusters and studied the difference in data density in them. Finally, we reported the silhouette score of + 0.046, indicating that the clusters are poorly distinguishable from each other (i.e., they have high overlapping symptoms). DISCUSSION: We infer that whether humans attempt to categorise mental illnesses or an A.I., the result is that the categories of mental disorders will not be unique enough to be able to distinguish one service seeker from another. Therefore, the categorical approach of diagnosing mental disorders can be argued to fall short of its purpose. We need to search for a classification system beyond the categorical approaches even if there are secondary merits (such as ease of communication and black-and-white (binary) decision making). However, using our A.I. based data mining approach had several meritorious findings. For example, we found that some symptoms are more exclusive or unique to one cluster. In contrast, others are shared by most other clusters (i.e., identification of transdiagnostic experiences). Such differences are interesting objects of inquiry for future studies. For example, in clear contrast to the traditional diagnostic systems, while some experiences, such as auditory hallucinations, are present in all four clusters, others, such as trouble with eating, are exclusive to one cluster (representing a syndrome: a group of co-occurring symptoms). We argue that trans-diagnostic conditions (e.g., auditory hallucinations) might be prime targets for symptom-level interventions. For syndrome-level grouping and intervention, however, we argue that exclusive symptoms are the main targets. CONCLUSION: Categorical approach to mental disorders is not a way forward because the categories are not unique enough and have several shared symptoms. We argue that the same symptoms can be present in more than one syndrome, although dimensionally different. However, we need additional studies to test this hypothesis. Future directions and implications were discussed.

Measuring diagnostic heterogeneity using text-mining of the lived experiences of patients.

BACKGROUND: The diagnostic system is fundamental to any health discipline, including mental health, as it defines mental illness and helps inform possible treatment and prognosis. Thus, the procedure to estimate the reliability of such a system is of utmost importance. The current ways of measuring the reliability of the diagnostic system have limitations. In this study, we propose an alternative approach for verifying and measuring the reliability of the existing system. METHODS: We perform Jaccard's similarity index analysis between first person accounts of patients with the same disorder (in this case Major Depressive Disorder) and between those who received a diagnosis of a different disorder (in this case Bulimia Nervosa) to demonstrate that narratives, when suitably processed, are a rich source of data for this purpose. We then analyse 228 narratives of lived experiences from patients with mental disorders, using Python code script, to demonstrate that patients with the same diagnosis have very different illness experiences. RESULTS: The results demonstrate that narratives are a statistically viable data resource which can distinguish between patients who receive different diagnostic labels. However, the similarity coefficients between 99.98% of narrative pairs, including for those with similar diagnoses, are low (< 0.3), indicating diagnostic Heterogeneity. CONCLUSIONS: The current study proposes an alternative approach to measuring diagnostic Heterogeneity of the categorical taxonomic systems (e.g. the Diagnostic and Statistical Manual, DSM). In doing so, we demonstrate the high Heterogeneity and limited reliability of the existing system using patients' written narratives of their illness experiences as the only data source. Potential applications of these outputs are discussed in the context of healthcare management and mental health research.

Prevalence of self-reported mental disorders in pregnancy and associations with adverse neonatal outcomes: a population-based cross-sectional study.

BACKGROUND: Mental disorders in pregnancy are common causes of morbidity and mortality with associated risks of adverse neonatal outcomes. Our aims were to evaluate the prevalence of self-reported mental disorders in women presenting to maternity services and to determine the association between history of self-reported maternal mental disorder and adverse neonatal outcomes. METHODS: Data on all singleton pregnancies known to maternity services in Northern Ireland over the period 2010 to 2015 were extracted from the Northern Ireland Maternity System (NIMATS), including frequency data for number of pregnancies where the mother reported a history of mental disorder. Odds ratios were derived from logistic regression analyses to determine the associations between self-reported maternal mental disorder and preterm birth, low infant birth weight and APGAR scores. RESULTS: In total, 140,569 singleton pregnancies were registered using NIMATS over this period. In 18.9% of these pregnancies, the mother reported a history of at least one mental disorder. After adjustment for potential confounding factors, significant associations were demonstrated between self-reported maternal mental disorder and preterm birth (odds ratio [OR] 1.31, 95% confidence interval [CI] 1.25-1.37), low infant birth weight (OR 1.29, 95% CI 1.21-1.38) and APGAR score < 7 at 1 min (OR 1.14, 95% CI 1.10-1.19) and 5 min (OR 1.23, 95% CI 1.12 to 1.34). CONCLUSIONS: These findings emphasise the critical importance of routine enquiry regarding psychiatric history when women present to maternity services and the impact of maternal mental illnesses upon outcomes for their infants.

Prevalence rates of childhood trauma in medical students: a systematic review.

BACKGROUND: It is known that medical students suffer from high rates of mental health difficulties. In recent years there has been an increasing focus on the need to improve support and treatment services for those in difficulty. In order to meet these needs it is important to clarify the relevant aetiological factors. There is robust evidence from general population studies that a history of childhood trauma (including physical and sexual abuse and emotional neglect) predisposes to the subsequent development of mental health difficulties in adult life. It has previously been speculated that students with a history of such trauma might preferentially apply to study medicine. METHODS: This systematic review seeks to examine the existing evidence base with regard to rates of childhood trauma in medical student populations. Articles were identified through a literature search of psychINFO, web of science, Embase and medline. RESULTS: This search generated 11 articles which were deemed to meet criteria for inclusion in this review. There is a wide range of results given for rates of childhood trauma in these studies. CONCLUSIONS: The published research which examines rates of childhood trauma affecting medical students is limited and difficult to generalise from, or to use to draw firm conclusions. Given the possible negative outcomes of a history of childhood trauma in medical students, including that such a history may be associated with difficulties in a student progressing in their undergraduate and postgraduate examinations, well-organised prospective studies are required.

Reliability of reports of childhood trauma in bipolar disorder: A test-retest study over 18 months.

This study aimed to explore the reliability of self-reported trauma histories in a population with a diagnosis of bipolar disorder using the Childhood Trauma Questionnaire. Previous studies in other populations suggest high reliability of trauma histories over time, and it was postulated that a similar high reliability would be demonstrated in this population. A total of 39 patients with a confirmed diagnosis (Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, criteria) were followed up and readministered the Childhood Trauma Questionnaire after 18 months. Cohen's kappa scores and intraclass correlations suggested reasonable test-retest reliability over the 18-month time period of the study for all types of childhood abuse, namely, emotional, physical, and sexual abuse and physical and emotional neglect. Intraclass correlations ranged from r = .50 (sexual abuse) to r = .96 (physical abuse). Cohen's kappas ranged from .44 (sexual abuse) to .76 (physical abuse). Retrospective reports of childhood trauma can be seen as reliable and are in keeping with results found with other mental health populations.

A systematic review and meta-analysis of the ethnic density effect in psychotic disorders.

PURPOSE: A number of studies have found an ethnic density effect in psychotic disorders, where the incidence for ethnic minorities increases as the neighbourhood proportional ethnic composition decreases [Morgan and Hutchinson, Psychol Med 40:705-709, (2010); Singh, Psychol Med 39:1402-1403, (2009); Schofield et al., Psychol Med 41:1263-1269, (2010)]. However, there is a mixed picture with some studies reporting no effect [Schofield et al., Psychol Med 41:1263-1269, (2010)]. This review aimed to establish the existence of the effect by answering the review question: is there an ethnic density dose effect in the prevalence of psychotic disorders? METHODS: A systematic review and meta-analysis was conducted by two independent reviewers using PsychINFO, Web of Science and PubMed databases. Studies were measured against eligibility criteria and then pooled with any discrepancies discussed between reviewers. Studies were then assessed for quality using a standardised quality assessment. RESULTS: In total, eight studies were included. A meta-analysis was conducted which found that the incidence of psychotic disorders was higher in low ethnic density areas than high ethnic density areas. A narrative synthesis reflected the complexity when results were broken down by individual ethnic groups where some ethnic groups had inverse or no associations with ethnic density. The synthesis also analysed methodological differences between studies. CONCLUSIONS: The review reports evidence of an overall ethnic density dose effect for ethnic minorities, but with more mixed results for individual ethnic groups. The possible mechanisms behind this effect are explored, including exposure to racism, social capital and social cohesion hypotheses. The wide-ranging implications of the review are discussed along with recommendations for future research to continue to inform public health policy.

Group trauma-focused cognitive-behavioural therapy with former child soldiers and other war-affected boys in the DR Congo: a randomised controlled trial.

BACKGROUND: The Democratic Republic of Congo (DRC) has been home to the world's deadliest conflict since World War II and is reported to have the largest number of child soldiers in the world. Despite evidence of the debilitating impact of war, no group-based mental health or psychosocial intervention has been evaluated in a randomised controlled trial for psychologically distressed former child soldiers. METHOD: A randomised controlled trial involving 50 boys, aged 13-17, including former child soldiers (n = 39) and other war-affected boys (n = 11). They were randomly assigned to an intervention group, or wait-list control group. The intervention group received a 15-session, group-based, culturally adapted Trauma-Focused Cognitive-Behavioural Therapy (TF-CBT) intervention. Assessment interviews were completed at baseline, postintervention and 3-month follow-up (intervention group). RESULTS: Analysis of Covariance (ANCOVA) demonstrated that, in comparison to the wait-list control group, the TF-CBT intervention group had highly significant reductions in posttraumatic stress symptoms, overall psychosocial distress, depression or anxiety-like symptoms, conduct problems and a significant increase in prosocial behaviour (p < .001 for all). Effect sizes were higher when former child soldier scores were separated for sub-analysis. Three-month follow-up of the intervention group found that treatment gains were maintained. CONCLUSIONS: A culturally modified, group-based TF-CBT intervention was effective in reducing posttraumatic stress and psychosocial distress in former child soldiers and other war-affected boys.

Young People's Understanding of Coercive Control in Northern Ireland.

Coercive control and related research have progressed significantly in the past number of years, with an ever-growing evidence base adding to its construct. However, currently there is a lack of evidence on young people's knowledge and understanding of coercive control. We included a module of questions in the 2020 Northern Ireland Young Life and Life and Times survey (n = 2,069) with the aim of capturing baseline measurable data on understanding of coercive control within intimate relationships among 16-year olds. Only 16% (n = 325) of respondents had heard of the term coercive control and knew what it meant. Findings also revealed that females, compared to males, were less likely to have heard of coercive control. When the victim being subjected to the behaviours was portrayed as female as opposed to male there was stronger recognition of the associated risks, need for support, and the seriousness of the situation. Our study findings call to question young people's knowledge of unhealthy intimate relationship behaviours beyond blatant and deliberate acts of harm such as those described in the coercive control scenarios. Gender disparities in awareness of coercive control across the study sample also give cause for concern given the increased risk of intimate partner violence among women and girls as well as lower reporting and help seeking among male victims. Results solidify the necessity for dedicated preventative and intervention efforts which focus on intimate relationships and reflect the diverse needs and experiences of young people. Supporting young people to act on their own behalf is an important step change to empowerment within their own intimate relationships.

Public Understanding of Coercive Control in Northern Ireland.

Coercive control is characterised by negative behaviours which intimidate, threaten, and humiliate a person or restrict a person's liberty. In addition to being a known risk factor for experiencing other forms of violence, research has linked coercive control to symptoms of psychological distress and suicidality. In the UK, coercive and controlling behaviours within intimate and familial relationships have been legislated as offending behaviours. However, there still exists a lack of international evidence on wider public knowledge and understanding of coercive control. The Northern Ireland Life and Times Survey (NILT) is an annual cross-sectional representative survey of social policy topics. Participants are adults aged 18 years or over. Concerning coercive control, respondents were presented with two relationship scenarios: obvious and less obvious coercive control. Following each scenario, respondents indicated their level of agreement to ten statements covering attitudes towards coercive control, victims of coercive control, talking about coercive control, and whether coercive control is a crime. Respondents indicated whether they had heard of the term 'coercive control'. Predictors of coercive control awareness were assessed using multinomial logistic regression. Mixed analysis of variance assessed if agreement levels to the ten statements varied by type of coercive control and victim gender. Most respondents said that they had heard of the term coercive control and knew what it meant. Those who had not heard of coercive control at all were more likely to be on a lower income, less qualified and younger, when compared to those who said they knew what the term meant. Significant interactions between coercive control type and victim gender were evident for all ten statements. While most respondents are aware of the term coercive control, a significant number have not and are therefore unlikely to recognise the signs of this type of abuse.

The structure of the Prodromal Questionnaire-16 (PQ-16) in a non-help-seeking youth population: Exploratory and confirmatory factor analyses study.

AIMS: The present study aimed to examine the structure of the Prodromal Questionnaire-16 (PQ-16) in a non-help-seeking youth population through exploratory and confirmatory factor analysis. Previous studies have not examined the structure of this self-report measure in this age group outside a clinical setting. METHODS: Participants (n = 1165) aged 11-19 years were recruited to an epidemiological study of young people in Northern Ireland, and completed the PQ-16 alongside other measures. The dataset was split randomly in two for separate factor analyses. A polychoric correlation matrix was created and exploratory factor analysis was used to identify the optimal number of factors. In addition, based on previous studies, six models were tested through confirmatory factor analysis to determine best fit. A one-factor, 3 two-factor, a three-factor and a four-factor model were all tested. RESULTS: The exploratory factor analysis indicated a two-factor structure of the PQ-16 in this population, which we have labelled 'general unusual experiences' and 'hallucinations'. Confirmatory analysis indicated that the two-factor model identified through the exploratory analysis was the best fit for the data. DISCUSSION: The present study suggests that the structure of the PQ-16 may vary across age groups in non-clinical settings, and adds further support to the validity of the PQ-16 is a cost-effective, easy to administer self-report measure that is suitable for use in non-help-seeking populations as a screening tool for prodromal symptoms.

Healthcare staff mental health trajectories during the COVID-19 pandemic: findings from the COVID-19 Staff Wellbeing Survey.

BACKGROUND: Cross-sectional studies have shown that the COVID-19 pandemic has had a significant impact on the mental health of healthcare staff. However, it is less well understood how working over the long term in successive COVID-19 waves affects staff well-being. AIMS: To identify subpopulations within the health and social care staff workforce with differentiated trajectories of mental health symptoms during phases of the COVID-19 pandemic. METHOD: The COVID-19 Staff Wellbeing Survey assessed health and social care staff well-being within an area of the UK at four time points, separated by 3-month intervals, spanning November 2020 to August 2021. RESULTS: Growth mixture models were performed on the depression, anxiety and post-traumatic stress disorder longitudinal data. Two class solutions provided the best fit for all models. The vast majority of the workforce were best represented by the low-symptom class trajectory, where by symptoms were consistently below the clinical cut-off for moderate-to-severe symptoms. A sizable minority (13-16%) were categorised as being in the high-symptom class, a group who had symptom levels in the moderate-to-severe range throughout the peaks and troughs of the pandemic. In the depression, anxiety and post-traumatic stress disorder models, the high-symptom class perceived communication from their organisation to be less effective than the low-symptom class. CONCLUSIONS: This research identified a group of health service staff who reported persistently high mental health symptoms during the pandemic. This group of staff may well have particular needs in terms of the provision of well-being support services.

The Structure of the Prodromal Questionnaire-16 (PQ-16): Exploratory and confirmatory factor analyses in a general non-help-seeking population sample.

AIMS: To examine the structure of the Prodromal Questionnaire (PQ-16) in a non-help-seeking population through exploratory factor analysis and confirmatory factor analysis. Previous studies have not looked at the structure of this self-report measure outside clinical settings. METHODS: Participants (n = 1045) were recruited through Amazon's Mechanical Turk (MTurk), and then completed the PQ-16. The data set was split randomly in two, one being used for exploratory factor analysis (EFA) and the other for confirmatory factor analysis (CFA). A polychoric correlation matrix was created and EFA was used to explore the factor structure of the PQ-16. Four models were tested through CFA to determine best fit: one, two, three and four-factor models were all analysed. RESULTS: EFA indicated a two-factor structure in the PQ-16 in a non-help-seeking population (with a mean age = 29.7 years). Factor 1 represented perceptual abnormalities/hallucinations and factor 2 general symptoms associated with psychosis-risk. CFA indicated that all the proposed models were suitable fits for the dataset. Fit indices for the three-factor model (factor 1 representing perceptual abnormalities/hallucinations, factor 2 unusual thought content, and factor 3 negative symptom) indicated that it appeared to be a better fit for the data than the one, two, and four factor models. CONCLUSIONS: This study suggests that a three-factor model of the PQ-16 is a better fit than other proposed models in a non-help-seeking population. Future research of the structure of the PQ-16 in this population may benefit from recruiting subjects with a lower mean age than the current study.

Neighbourhood effects on psychotic and depressive symptoms in the context of religious sectarianism in Northern Ireland: A data linkage study.

BACKGROUND: The incidence of psychotic disorders is higher in ethnic minorities groups. The 'ethnic density effect', in which living in a neighbourhood with a low own-group proportion increases the risk of psychosis, is one explanatory factor. The density effect in the ethno-religious and sectarian context of Northern Ireland has been found to be reversed, particularly for Catholics, in which there is harmful effect of high own-group density areas. This is partly explained by high urbanicity, deprivation and unemployment, but is otherwise not well understood. AIMS: This study aimed to examine the density effect at the level of symptomology (positive and negative psychosis symptoms and depressive symptoms) in a representative sample of people with a first episode of psychosis in Northern Ireland. METHOD: Data linkage methodology was used drawing on data from the Northern Ireland First Episode Psychosis Study (NIFEPS) and the 2001 Census of Northern Ireland. RESULTS: In total, 223 people between the ages of 18 to 64 were included in the study. A significant density effect was found for Catholics for total psychosis scores, but not for positive, negative and depressive symptoms, nor for general psychopathology, after adjusting for individual and area characteristics. The model accounted for just over 12% of the variance. No effect was found for Protestants. CONCLUSION: The findings suggest that the density effect for Catholics is unrelated to the core features of psychosis (hallucinations, delusions and anhedonia) but rather to broader cognitive and emotional disturbances and area deprivation. Explanations of exposure to social adversity and inequality are proposed, with implications for public mental health and social policy.

Psychological support for healthcare workers during the COVID-19 pandemic: a mixed methods study involving support providers.

Background: Healthcare staff represent a high-risk group for mental health difficulties as a result of their role during the COVID-19 pandemic. A number of wellbeing initiatives have been implemented to support this population, but remain largely untested in terms of their impact on both the recipients and providers of supports.Objective: To examine the experience of staff support providers in delivering psychological initiatives to healthcare staff, as well as obtain feedback on their perceptions of the effectiveness of different forms of support.Method: A mixed methods design employing a quantitative survey and qualitative focus group methodologies. An opportunity sample of 84 psychological therapists providing psychological supports to Northern Ireland healthcare staff participated in an online survey. Fourteen providers took part in two focus groups.Results: The majority of providers rated a number of supports as useful (e.g. staff wellbeing helplines, Hospital In-reach) and found the role motivating and satisfying. Thematic analysis yielded five themes related to provision of support: (1) Learning as we go, applying and altering the response; (2) The 'call to arms', identity and trauma in the collective response; (3) Finding the value; (4) The experience of the new role; and (5) Moving forward.Conclusions: While delivering supports was generally a positive experience for providers, adaptation to the demands of this role was dependent upon important factors (e.g. clinical experience) that need to be considered in the planning phase. Robust guidance should be developed that incorporates such findings to ensure effective evidence-based psychological supports are available for healthcare staff during and after the pandemic.

Providers of wellbeing supports to healthcare staff during COVID-19 viewed them as useful and the role satisfying.Key factors (e.g. clinical experience) should be considered to make the role manageable.Guidance should be developed to ensure appropriate supports are delivered.

Reaching consensus on the principles of trauma-informed care in early intervention psychosis services: A Delphi study.

AIM: The current study sought to conceptualize and reach consensus on the principles of trauma-informed care in early intervention psychosis services. METHODS: A three-phase Delphi method was employed in this study. Experts included researchers, service providers and Experts by Experience in the area of early intervention in psychosis. In the initial qualitative phase, an expert panel (n = 57) shared their views on the constituents of trauma-informed care in early intervention psychosis services. Thematic analysis led to the generation of statement items. The expert panel was asked to rate the extent to which each statement item was an essential principle of trauma-informed care, leading to consensus of endorsed principles. RESULTS: Qualitative analysis of the first phase data led to the identification of 185 distinct statements which were compiled into an online questionnaire for the panel to rate in Phase 2. The Phase 2 questionnaire was completed by 42 experts, with the endorsement of seven principles. In Phase 3, the panel were invited to re-rate 24 statements. This phase was completed by 39 panel members, with the acceptance of a further nine principles. Consensus was achieved resulting in the endorsement of 16 essential principles of trauma-informed care. CONCLUSIONS: The study offers novel understanding of the conceptualisation of trauma-informed care in early intervention services and suggests principles which are widely agreed by experts in the field. The recommendations may inform the adoption of consistently delivered trauma-informed care in early interventions in psychosis and facilitate the evaluation and development of services.

The association between sleep quality and attenuated psychotic symptoms.

AIM: To determine if poor sleep makes a unique contribution in predicting the likelihood of experiencing six or more attenuated psychotic symptoms and associated distress, after examining and controlling for sociodemographic factors, depression and drug/alcohol use. METHOD: An online survey was conducted using Amazon's online crowdsourcing service Mechanical Turk (MTurk). The sample was 1013 adults (18 to 36 years) from the general population in the United States. The survey consisted of the Prodromal Questionnaire 16 (PQ-16), the Pittsburgh Sleep Quality Index, the Patient Health Questionnaire 9, the Drug Abuse Screening Test 10 and the Alcohol Use Disorders Identification Test. Regression analyses were performed with the PQ-16 as the dependent variable, and sleep quality as the predictor variable, holding constant sociodemographic variables, depression, and alcohol/drug abuse. RESULTS: 37% of the sample endorsed six or more PQ-16 items, which may be suggestive of an at-risk mental state, with sleep disturbance significantly increasing the likelihood (Odds ratio 2.09 < .001) of endorsing six or more PQ-16 items. After controlling for sociodemographic variables, depression and drug/alcohol abuse, poor sleep quality made a unique contribution of 5.8% of the variance accounted for in level of distress experienced by attenuated psychotic symptoms. CONCLUSION: Effective treatment of sleep disturbance may reduce the likelihood ofexperiencing attenuated psychotic symptoms and associated distress.

COVID-19 Staff Wellbeing Survey: longitudinal survey of psychological well-being among health and social care staff in Northern Ireland during the COVID-19 pandemic.

BACKGROUND: Throughout the coronavirus disease 2019 (COVID-19) pandemic, health and social care workers have faced unprecedented professional demands, all of which are likely to have placed considerable strain on their psychological well-being. AIMS: To measure the national prevalence of mental health symptoms within healthcare staff, and identify individual and organisational predictors of well-being. METHOD: The COVID-19 Staff Wellbeing Survey is a longitudinal online survey of psychological well-being among health and social care staff in Northern Ireland. The survey included four time points separated by 3-month intervals; time 1 (November 2020; n = 3834) and time 2 (February 2021; n = 2898) results are presented here. At time 2, 84% of respondents had received at least one dose of a COVID-19 vaccine. The survey included four validated psychological well-being questionnaires (depression, anxiety, post-traumatic stress and insomnia), as well as demographic and organisational measures. RESULTS: At time 1 and 2, a high proportion of staff reported moderate-to-severe symptoms of depression (30-36%), anxiety (26-27%), post-traumatic stress (30-32%) and insomnia (27-28%); overall, significance tests and effect size data suggested psychological well-being was generally stable between November 2020 and February 2021 for health and social care staff. Multiple linear regression models indicated that perceptions of less effective communication within their organisation predicted greater levels of anxiety, depression, post-traumatic stress and insomnia. CONCLUSIONS: This study highlights the need to offer psychological support to all health and social care staff, and to communicate with staff regularly, frequently and clearly regarding COVID-19 to help protect staff psychological well-being.

Autobiographical memory specificity, depression, and trauma in bipolar disorder.

OBJECTIVES: In a bipolar disorder (BD) sample, the present study investigated: (i) the prevalence of trauma; (ii) the specificity of autobiographical memory (AM); (iii) the influence of childhood trauma on AM specificity, current inter-episode depressive mood, and BD severity; (iv) if AM specificity moderates the influence of childhood trauma on current inter-episode depressive mood and BD severity. METHODS: Fifty-two participants were recruited from a geographically well-defined mental health service in Northern Ireland. The AM test, self-report measures of lifetime experience of trauma, childhood trauma, and depression were administered. Severity of BD was estimated utilizing a systematic tool for reviewing all available clinical data of participants. RESULTS: A high prevalence of trauma was found. A total of 94.2% (49/52) of participants reported experiencing a traumatic event in either childhood or adulthood. AM specificity was significantly lower than previous reports of such in major depression. However, whilst childhood trauma predicted current inter-episode depressive mood, childhood trauma was not predictive of BD severity or AM specificity. Moreover, the association between childhood trauma and depressed mood was not moderated by AM specificity. CONCLUSIONS: The findings of this study suggest a relationship between early psychosocial adversity and current inter-episode depressive mood in BD. In addition, levels of overgeneral AM are similar to that reported for depression, but are unrelated to childhood trauma, current inter-episode depressive mood, or BD severity. Clinical implications include the importance of routine assessment of trauma in BD and the need for adjunctive evidenced-based psychological therapies.

Screening for the at-risk mental state in educational settings: A systematic review.

AIM: The at-risk mental state (ARMS) allows clinicians to identify individuals who have an increased risk of developing psychosis. At present, most screening for psychosis-risk is carried out within help-seeking populations; however, screening within educational settings may allow clinicians to identify individuals at-risk earlier and to increase the rate of detection. This review aimed to examine screening for the ARMS in educational settings, with the key questions: what screening tools have been used in educational settings, can screening in educational settings detect individuals with ARMS, what threshold scores in screening tools indicate a positive screen in educational settings, are there comorbid mental health conditions associated with the ARMS in educational settings? METHODS: Searches were carried out in PsycINFO, MEDLINE, EMBASE, Scopus and Web of Science and reference lists of included articles searched. Results were summarized using narrative synthesis. RESULTS: Nine papers were included for narrative synthesis. A variety of screening tools have been used when screening for the ARMS in educational settings. The majority of studies have been conducted in schools. The prevalence of the ARMS reported in ranges from 1% to 8%. CONCLUSIONS: The ARMS indicates the presence of distressing symptoms for which intervention may be beneficial. Screening programmes within educational settings may allow outreach for prodromal symptoms at an earlier stage than clinical settings currently provided for.