25 research outputs found

    Mental health clinicians’ beliefs about the causes of psychosis: Differences between professions and relationship to treatment preferences

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    The ontology of mental health problems is an area of long standing debate. This has been fuelled by strong claims of a genetic basis to mental health problems, particularly in relation to the more serious difficulties such as schizophrenia and psychosis (John, Thirunavukkarasu, Halahalli, Purushottam, & Jain, 2015). The result of this biological framework has influenced practice at a service-level, with medication the primary treatment offered to this client group. Although neurobiological and genomic research has substantially progressed over the past decade, findings have also provided strong evidence for the role of environmental factors. Deprivation, trauma, social isolation, urbanicity and adverse childhood experiences have all been associated with the onset of psychosis (Cohen, 1993; Read, Van Os, Morrison, & Ross, 2005; Van Os, 2004). Given the evidence-base, psychosis is now considered by many experts in the field to be the result of a complex interaction of biological and environmental factors, for which the relevance of these differs for each individual. As a result, an integrative approach to treating psychosis is now endorsed by some clinical guidelines, with a recommendation that everyone be given a comprehensive, multidisciplinary assessment and be offered both antipsychotic medication and psychosocial interventions (NICE, 2014)

    Guided self-help cognitive-behaviour Intervention for VoicEs (GiVE): results from a pilot randomised controlled trial in a transdiagnostic sample

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    Background: Few patients have access to cognitive behaviour therapy for psychosis (CBTp) even though at least 16 sessions of CBTp is recommended in treatment guidelines. Briefer CBTp could improve access as the same number of therapists could see more patients. In addition, focusing on single psychotic symptoms, such as auditory hallucinations (‘voices’), rather than on psychosis more broadly, may yield greater benefits. Method: This pilot RCT recruited 28 participants (with a range of diagnoses) from NHS mental health services who were distressed by hearing voices. The study compared an 8-session guided self-help CBT intervention for distressing voiceswith a wait-list control. Data were collected at baseline and at 12 weekswith post-therapy assessments conducted blind to allocation. Voice-impact was the pre-determined primary outcome. Secondary outcomes were depression, anxiety, wellbeing and recovery. Mechanism measures were self-esteem, beliefs about self, beliefs about voices and voice-relating. Results: Recruitment and retention was feasible with low study (3.6%) and therapy (14.3%) dropout. There were large, statistically significant between-group effects on the primary outcome of voice-impact (d=1.78; 95% CIs: 0.86–2.70), which exceeded the minimum clinically important difference. Large, statistically significant effects were found on a number of secondary and mechanism measures. Conclusions: Large effects on the pre-determined primary outcome of voice-impact are encouraging, and criteria for progressing to a definitive trial are met. Significant between-group effects on measures of self-esteem, negative beliefs about self and beliefs about voiceomnipotence are consistentwith these beingmechanisms of change and this requires testing in a future trial

    Shared decision making for psychiatric medication management: beyond the micro-social

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    Background: Mental health care has lagged behind other health-care domains in developing and applying shared decision making (SDM) for treatment decisions. This is despite compatibilities with ideals of modern mental health care such as self-management and recovery-oriented practice, and growing policy-level interest. Psychiatric medication is a mainstay of mental health treatment, but there are known problems with prescribing practices, and service users report feeling uninvolved in medication decisions and concerned about adverse effects. SDM has potential to produce better tailoring of psychiatric medication to individuals' needs. Objectives: This conceptual review argues that several aspects of mental health care that differ from other health-care contexts (e.g. forms of coercion, questions about service users' insight and disempowerment) may impact on processes and possibilities for SDM. It is therefore problematic to uncritically import models of SDM developed in other health-care contexts. We argue that decision making for psychiatric medication is better understood in a broader way that moves beyond the micro-social focus of a medical consultation. Contextualizing specific medication-related consultations within longer term relationships, and broader service systems enables recognition of the multiple processes, actors and agendas that shape how psychiatric medication is prescribed, managed and used, and which may facilitate or impede SDM. Conclusion: A broad conceptualization of decision making for psychiatric medication that moves beyond the micro-social can account for why SDM in this domain remains a rarity. It has both conceptual and practical utility for evaluating research evidence, identifying future research priorities and highlighting fruitful ways of developing and implementing SDM in mental health care

    Patterns of, and factors associated with, atypical and typical antipsychotic prescribing by general practitioners in the UK during the 1990s

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    Aims: This paper estimates the rate of change in primary care prescribing of atypical antipsychotics in the treatment of schizophrenia and schizoaffective disorder and assesses the link between these changes and the individual characteristics of patients. Methods: Analyses use the UK-based General Practice Research Database for the years 1993 to 1999. Data were linked across years for each individual. A panel logistic regression model was used to identify factors influencing the choice between typical and atypical antipsychotics. Results: A total of 4,391 people were included in the dataset. Atypical antipsychotics prescribing in general practice grew from 1.8% in 1993 to 20.8% in 1999. Older patients were less likely to be prescribed an atypical as compared to a typical antipsychotic. Patients who had an inpatient stay in the previous year were over 1.5 times as likely to receive atypical antipsychotics, as were patients who had visited their GP six or more times in the previous year. Conclusions: Empirical results suggest that, over time, factors other than those warranted by the needs of patients may influence the class of antipsychotic they are prescribed. As prescribing of atypical antipsychotics increases, more evidence is needed to determine what factors are impacting upon the choice of antipsychotic medication
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