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An invisible threat has visibly altered the world. Governments and key institutions have had to implement decisive responses to the danger posed by the coronavirus pandemic. Imposed change will increase the likelihood that alternative explanations take hold. In a proportion of the general population there may be strong scepticism, fear of being misled, and false conspiracy theories. Our objectives were to estimate the prevalence of conspiracy thinking about the pandemic and test associations with reduced adherence to government guidelines. A non-probability online survey with 2501 adults in England, quota sampled to match the population for age, gender, income, and region. Approximately 50% of this population showed little evidence of conspiracy thinking, 25% showed a degree of endorsement, 15% showed a consistent pattern of endorsement, and 10% had very high levels of endorsement. Higher levels of coronavirus conspiracy thinking were associated with less adherence to all government guidelines and less willingness to take diagnostic or antibody tests or to be vaccinated. Such ideas were also associated with paranoia, general vaccination conspiracy beliefs, climate change conspiracy belief, a conspiracy mentality, and distrust in institutions and professions. Holding coronavirus conspiracy beliefs was also associated with being more likely to share opinions. In England there is appreciable endorsement of conspiracy beliefs about coronavirus. Such ideas do not appear confined to the fringes. The conspiracy beliefs connect to other forms of mistrust and are associated with less compliance with government guidelines and greater unwillingness to take up future tests and treatment.

After the UK had been in lockdown for six weeks, we conducted, with a reputable market research company, a survey over one week of 2500 adults in England, representative for age, gender, income, and region (Freeman et al., 2020). [...]it is indeed the case that approximately a fifth blamed Jews, a fifth blamed Muslims, a fifth blamed Bill Gates and so on, but as highlighted in the paper throughout, these are not separate fifths of the population but a proportion of the population showing a conspiracy mentality, which includes endorsing contradictory views. The rating scale was chosen because the explicit focus of the survey was on tapping this conspiracy mentality in order to test associations with adherence to coronavirus guidelines.

Background and Aims Rates of psychosis in the homeless population are markedly higher compared to the general population. Understanding potential psychological mechanisms underpinning links between psychosis and homelessness is important for the development of effective care pathways for this highly marginalised group. This study aimed to examine the housing status of a sample of people with psychosis admitted to psychiatric inpatient hospital in one UK mental health trust. We further aimed to examine the presence and relevance of symptoms which were directly related to housing (e.g., persecutory beliefs about neighbours). Methods A cross‐sectional study was conducted using an electronic healthcare database, containing anonymised patient records (Clinical Record Interactive Search). Information on housing status, symptoms, and content of symptoms relating to housing were extracted and independently double‐coded from clinical notes at the person's admission. Results 351 service users were in the sample, which covered discharges over a 12‐month period (1st April 2021 to 31st March 2022). There was a higher proportion of individuals living without a fixed address in the sample (10%) compared to population estimates (1%–2%). Housing‐related thematic content of symptoms was evident in 34% of the sample (e.g., attributing voices to neighbours, feeling under surveillance at home). The only variable significantly associated with housing status was gender, with men at higher odds of unstable housing compared to women. Individuals with concerns directly related to their housing or housing instability were no more likely to have a longer length of admission than those without housing‐related concerns. Conclusion A significant proportion of individuals with psychosis admitted for psychiatric inpatient treatment, experienced housing instability. For some of the sample, symptom content directly related to housing. This raises important considerations for how social needs are assessed on admission to psychiatric hospital. Further research in this area is encouraged.

[...]we could test whether any countenance of the extreme beliefs − which might include a degree of acquiescence, though there was no ambiguity in the statements being endorsed − affects adherence to social distancing guidelines. [...]the letter writers have overlooked the basic research design principle that items and their corresponding scales are chosen for the particular purpose of a study. [...]the letter writers omit consideration of the significant limitations of the scales they advocate.

Background Delayed discharge is problematic. It is financially costly and can create barriers to delivering best patient care, by preventing return to usual functioning and delaying admissions of others in need. This systematic review aimed to collate existing evidence on delayed discharge in psychiatric inpatient settings and to develop understanding of factors and outcomes of delays in these services. Methods A search of relevant literature published between 2002 and 2022 was conducted on Pubmed, PsycInfo and Embase. Studies of any design, which published data on delayed discharge from psychiatric inpatient care in high income countries were included. Studies examining child and adolescent, general medical or forensic settings were excluded. A narrative synthesis method was utilised. Quality of research was appraised using the Mixed Methods Appraisal Tool (MMAT). Results Eighteen studies from England, Canada, Australia, Ireland, and Norway met the inclusion criteria. Six main reasons for delayed discharge were identified: (1) accommodation needs, (2) challenges securing community or rehabilitation support, (3) funding difficulties, (4) family/carer factors, (5) forensic considerations and (6) person being out of area. Some demographic and clinical factors were also found to relate to delays, such as having a diagnosis of schizophrenia or other psychotic disorder, cognitive impairment, and increased service input prior to admission. Being unemployed and socially isolated were also linked to delays. Only one study commented on consequences of delays for patients, finding they experienced feelings of lack of choice and control. Four studies examined consequences on services, identifying high financial costs. Conclusion Overall, the findings suggest there are multiple interlinked factors relevant in delayed discharge that should be considered in practice and policy. Suggestions for future research are discussed, including investigating delayed discharge in other high-income countries, examining delayed discharge from child and forensic psychiatric settings, and exploring consequences of delays on patients and staff. We suggest that future research be consistent in terms used to define delayed discharge, to enhance the clarity of the evidence base. Review registration number on PROSPERO 292515. Date of registration 9th December 2021.

Background Consensus on what outcomes should be included in trials of psychological therapies on acute psychiatric inpatient wards is currently lacking. Inclusion of different viewpoints, including service user perspectives, is crucial in ensuring that future trials measure outcomes which are meaningful and important. Development of a Core Outcome Set (COS), a minimum standardised set of outcomes to be measured and reported, would help improve synthesis and interpretation of clinical trial data in this area. Methods Stage 1 of the COS development involved compiling a comprehensive long-list of outcomes from key sources including i) a systematic review of outcomes from published trials, ii) online survey of key stakeholders (service users, carers, healthcare professionals, researchers, and end users of research), iii) qualitative interviews with service users and carers. Stage 2 involved stakeholder groups short-listing the outcomes using consensus methods (e-Delphi survey). The final outcome set was derived from the short-list at a consensus meeting of stakeholders, facilitated by an Independent Chair. Results A long-list of 68 outcomes was compiled from the systematic review ( n  = 30 trials), online stakeholder survey ( n  = 100 participants) and qualitative interviews ( n  = 15 participants). Fifty stakeholders took part in the e-Delphi study, where the long-list was cut down to a short-list of 12 outcomes over 2 rounds. Nine stakeholders took part in the final consensus meeting, and after some outcomes were removed and/or amalgamated, a final set of 6 outcomes was recommended for inclusion in the COS. These were Ability to Cope , Hopefulness, Quality of Life, Psychosis Symptoms, Mood, and Self-Harm Behaviours. Conclusions Widespread future adoption of the COS will reduce research waste by ensuring that outcomes are more easily comparable across trials, and that the full range of stakeholder priorities are represented in trial outcomes. This makes it more likely that effective therapies will be identified in a timely fashion and successfully implemented in routine clinical practice. The final 6-outcome COS should be feasible to implement given the need keep participant burden to a minimum in inpatient trials. Further work is needed to make recommendations for the best outcome measurement instruments to use, including the use of patient-reported outcomes alongside clinician-rated measures. Trial registration Not applicable.

The period before the formation of a persecutory delusion may provide causal insights. Patient accounts are invaluable in informing this understanding. To inform the understanding of delusion formation, we asked patients about the occurrence of potential causal factors - identified from a cognitive model - before delusion onset. A total of 100 patients with persecutory delusions completed a checklist about their subjective experiences in the weeks before belief onset. The checklist included items concerning worry, images, low self-esteem, poor sleep, mood dysregulation, dissociation, manic-type symptoms, aberrant salience, hallucinations, substance use and stressors. Time to reach certainty in the delusion was also assessed. Most commonly it took patients several months to reach delusion certainty (n = 30), although other patients took a few weeks (n = 24), years (n = 21), knew instantly (n = 17) or took a few days (n = 6). The most frequent experiences occurring before delusion onset were: low self-confidence (n = 84); excessive worry (n = 80); not feeling like normal self (n = 77); difficulties concentrating (n = 77); going over problems again and again (n = 75); being very negative about the self (n = 75); images of bad things happening (n = 75); and sleep problems (n = 75). The average number of experiences occurring was high (mean 23.5, s.d. = 8.7). The experiences clustered into six main types, with patients reporting an average of 5.4 (s.d. = 1.0) different types. Patients report numerous different experiences in the period before full persecutory delusion onset that could be contributory causal factors, consistent with a complex multifactorial view of delusion occurrence. This study, however, relied on retrospective self-report and could not determine causality. None.

There are high rates of obesity and low self-esteem in patients with psychosis. The occurrence of negative voice content directly about appearance is therefore plausible. Derogatory comments about appearance are likely to be distressing, increase depression and contribute to social withdrawal. To systematically assess the occurrence of voice content regarding appearance and identify correlates. Sixty patients experiencing verbal auditory hallucinations at least once a week in the context of non-affective psychosis completed a measure assessing positive and negative voice content about appearance. They also completed assessments about body image, self-esteem, psychiatric symptoms and well-being. Fifty-five (91.7%) participants reported hearing voices comment on their appearance. A total of 54 (90%) patients reported negative voice content about their appearance with 30 (50%) patients experienced negative appearance comments on a daily basis. The most common negative comment was 'the voices tell me that I am ugly' (n = 48, 80%). There were 39 (65%) patients who reported positive voice content on appearance. The most frequent positive comment was 'I look as nice as other people' (n = 26, 43.3%). Negative voice content about appearance was associated with body image concerns, paranoia, voice hearing severity, depression, worry, negative self-beliefs and safety-seeking behaviours. Positive appearance voice content was associated with greater body esteem and well-being and lower levels of depression and insomnia. Voice content about appearance is very common for patients seen in clinical services. Negative voice content may reflect - and subsequently reinforce - negative beliefs about one's appearance, low self-esteem, worry and paranoia. None.