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Background: Social anxiety is a common problem among people who are recovering from psychosis. At present there is no evidence based psychological treatment targeting social anxiety in this population. Cognitive Bias Modification for Interpretation (CBM-I) has been shown to be effective in reducing social anxiety in people who do not have a history of psychosis. Aims: To assess the feasibility and acceptability of the CBM-I methodology for use in a clinical setting with people who are experiencing social anxiety following an episode of psychosis. Method: Eight participants with social anxiety were recruited from an early intervention service. A single session of computerized CBM-I was conducted, with mood and cognitive interpretation bias being assessed before and after the session. Results: All participants reported an improvement in mood immediately following the CBM-I session (n = 8). For those participants who had a negative interpretation bias, none became more negative following the CBM-I session, with three out of six participants showing a beneficial change. Conclusion: These results suggest that CBM-I is acceptable for use with people who are experiencing social anxiety following a psychotic episode. Further research looking at how CBM-I could be made more interactive and producing more applicable scenarios for use in a clinical setting is recommended.
Norfolk and Waveney Mental Health NHS Foundation Trust, and University of East Anglia, Norwich, UK.
This article was published in the following journal.
Name: Behavioural and cognitive psychotherapy
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The influence of study results on the chances of publication and the tendency of investigators, reviewers, and editors to submit or accept manuscripts for publication based on the direction or strength of the study findings. Publication bias has an impact on the interpretation of clinical trials and meta-analyses. Bias can be minimized by insistence by editors on high-quality research, thorough literature reviews, acknowledgement of conflicts of interest, modification of peer review practices, etc.
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Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions.
Adverse of favorable selection bias exhibited by insurers or enrollees resulting in disproportionate enrollment of certain groups of people.
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