The provision of e-cigarettes is a potentially useful harm reduction intervention in smokers with a psychotic disorder.

Almost half of caregivers of people with psychosis reported PTSS related to their caring role, which may have implications for their caregiving experiences and coping efforts. The findings highlight the importance of assessing need in caregivers and optimizing opportunities to offer needs-led therapeutic interventions to caregivers.

BackgroundCapturing service users’ perspectives can highlight additional and different concerns to those of clinicians, but there are no up to date, self-report psychometrically sound measures of side effects of antipsychotic medications.AimTo develop a psychometrically sound measure to identify antipsychotic side effects important to service users, the Maudsley Side Effects (MSE) measure.MethodAn initial item bank was subjected to a Delphi exercise (n = 9) with psychiatrists and pharmacists, followed by service user focus groups and expert panels (n = 15) to determine item relevance and language. Feasibility and comprehensive psychometric properties were established in two samples (N43 and N50). We investigated whether we could predict the three most important side effects for individuals from their frequency, severity and life impact.ResultsMSE is a 53-item measure with good reliability and validity. Poorer mental and physical health, but not psychotic symptoms, was related to side-effect burden. Seventy-nine percent of items were chosen as one of the three most important effects. Severity, impact and distress only predicted ‘putting on weight’ which was more distressing, more severe and had more life impact in those for whom it was most important.ConclusionsMSE is a self-report questionnaire that identifies reliably the side-effect burden as experienced by patients. Identifying key side effects important to patients can act as a starting point for joint decision making on the type and the dose of medication.

Cognitive therapy is recommended for children with psychotic-like, or unusual, experiences associated with distress or impairment (UEDs; UK National Institute for Health and Care Excellence, 2013 [1]). Accurate models of the psychological underpinnings of childhood UEDs are required to effectively target therapies. Cognitive biases, such as the jumping to conclusions data-gathering bias (JTC), are implicated in the development and maintenance of psychosis in adults. In this study, we aimed to establish the suitability for children of a task developed to assess JTC in adults. Eighty-six participants (aged 5-14 years) were recruited from Child and Adolescent Mental Health Service (CAMHS) and community (school) settings, and completed the probabilistic reasoning ('Beads') task, alongside measures of intellectual functioning, general psychopathology, and UEDs. Self-reported reasoning strategy was coded as 'probabilistic' or 'other'. Younger children (5-10 years) were more likely than older children (11-14 years) to JTC (OR = 2.7, 95 % CI = 1.1-6.5, p = 0.03); and to use non-probabilistic reasoning strategies (OR = 9.4, 95 % CI = 1.7-48.8, p = 0.008). Both UED presence (OR = 5.1, 95 % CI = 1.2-21.9, p = 0.03) and lower IQ (OR = 0.9, 95 % CI = 0.9-1.0, p = 0.02) were significantly and independently associated with JTC, irrespective of age and task comprehension. Findings replicate research in adults, indicating that the 'Beads' task can be reliably employed in children to assess cognitive biases. Psychological treatments for children with distressing unusual experiences might usefully incorporate reasoning interventions.

The psychosocial processes implicated in the development and maintenance of psychosis differ according to both the dimensional attributes (conviction, frequency, associated distress, adverse life impact) and the content or type (e.g., grandiosity, hallucinations, paranoia) of the psychotic symptoms experienced. This has informed the development of 'targeted' cognitive behavioural therapy for psychosis (CBTp): interventions focusing on specific psychological processes in the context of particular symptom presentations. In adults, larger effect sizes for change in primary outcomes are typically reported in trials of targeted interventions, compared to those for trials of generic CBTp approaches with multiple therapeutic foci. We set out to test the theoretical basis for developing targeted CBTp interventions for young people with distressing psychotic-like, or unusual, experiences (UEs). We investigated variations in the psychosocial processes previously associated with self-reported UE severity (reasoning, negative life events, emotional problems) according to UE dimensional attributes and content/type (using an established five-factor model) in a clinically referred sample of 72 young people aged 8-14 years. Regression analyses revealed associations of conviction and grandiosity with reasoning; of frequency, and hallucinations and paranoia, with negative life events; and of distress/adverse life impact, and paranoia and hallucinations, with emotional problems. We conclude that psychological targets for intervention differ according to particular characteristics of childhood UEs in much the same way as for psychotic symptoms in adults. The development of targeted interventions is therefore indicated, and tailoring therapy according to presentation should further improve clinical outcomes for these young people.Key words: psychotic-like experience (PLE); cognitive model; psychosis; cognitive therapy; CBT 4 IntroductionUnusual, or psychotic-like, experiences are changes in thinking and perception that are phenomenologically similar to the symptoms of psychosis, for example, hearing a voice that no-one else can hear [1]. The prevalence of such experiences in childhood is high (around two-thirds of the general population, by self-report) suggesting that they cannot be considered, in isolation, to reliably confer increased risk of psychosis [2]. Rather, it seems that increasing likelihood of future mental illness is determined by particular characteristics and correlates of unusual experiences (UEs), such as associated distress and adverse life events [3,4]. This is consistent with the continuum premise underpinning cognitive models of the development and maintenance of psychosis [5,6]. In these models, UEs are one of a multiplicity of biopsychosocial factors that are hypothesised to cumulatively increase the risk of developing psychosis, but are not in themselves, indicative of 'illness'. Although the degree of continuity of psychotic symptoms with normal experiences has been questioned [7], the implication that UEs ...

This study describes the adaptation of Honest, Open, Proud (HOP), to develop an empowerment intervention supporting disclosure decision-making for dyads of people living with dementia and their chosen supporter. Methods: Medical Research Council guidelines for developing complex interventions informed intervention development and feasibility testing. This included identifying the evidence base and theory (establishing HOP theory of change, a systematic review on decision-making in dementia, a stakeholder consultation), modelling the intervention materials with research experts (creation of version 1.0) and experts by experience (creation of version 2.0), and pilot testing the intervention recording participant observations and facilitator reflections. The final version of the intervention materials was developed with experts by experience of dementia where the accessibility of language and appropriate styles of facilitation were the focus. Results: The concept of the intervention was strongly endorsed by respondents of the stakeholder consultation (209/226). Stakeholder preferences included face-to-face delivery, a manualized workbook approach and the inclusion of the primary carer during intervention delivery. Recruitment for intervention groups took place in non-NHS settings (2 small groups recruited) and NHS settings (no groups recruited). In non-NHS settings, 7 dyads agreed to take part in one of two intervention groups. Both intervention groups had over 70% attendance by participants (group 1: 72.2% group 2: 87.5%). Conclusion: The concept of an intervention to support diagnostic disclosure was endorsed by stakeholders; however, recruitment was challenging; the "who to tell, how and when?" intervention has the potential to fill a gap in the post-diagnostic pathway.

Gastrostomy and noninvasive ventilation (NIV) are recommended interventions for the management of symptoms associated with amyotrophic lateral sclerosis (ALS). This study aimed to quantify the views of a range of healthcare professionals (HCPs) on the provision of these interventions in the United Kingdom. A total of 177 HCPs participated in an online survey. Significant differences were found between medical and allied HCPs’ views on: whether HCPs adhere to policy and accept legal constraints when it comes to making gastrostomy available to people with ALS; the impressions that HCPs receive of the way patients and caregivers understand the effects of gastrostomy and NIV on symptoms and quality of life; and the challenges HCPs face when caring for patients who have refused gastrostomy. More widely available guidelines for the provision of gastrostomy and advice on the best way to impart information to patients and caregivers about gastrostomy and NIV appear to be needed.

Background Development of pharmaceutical interventions for schizophrenia emphasises clinical efficacy and subsequent effectiveness and cost-effectiveness. However, given the many side effects of antipsychotic medication, it is important to consider the importance of different side effects on the preferences that people with schizophrenia have for different drugs. This study aims to use a discrete choice experiment to elicit patient preferences for antipsychotic medication with different side effects profiles. Method Preferences for antipsychotic side effects were investigated using a discrete choice experiment conducted in south London. 297 participants with a schizophrenia diagnosis who had been in receipt of anti-psychotic medication for a minimum of one month were included. Participants were presented with a sequence of choices involving five antipsychotic side effects (attributes) each with four levels. Conditional logit models were used to determine the side effects most (and least) likely to be preferred by people prescribed antipsychotics. Sub-group analyses explored the impact of side effects by gender, ethnicity, age, and symptoms. Results As expected, participants tended to value antipsychotic medications offering the least side effects, and the model coefficients were in the expected direction. For the whole sample and sub-groups, memory and fatigue were the most important side effects, while palpations and mobility were the least important. Conclusions Participants had a strong preference for medications with the least side effects on memory and fatigue. These findings should inform drug development by pharmaceutical companies and prescribing practice by clinicians.