If we’re sick and throwing up at work, we’ll go to a doctor and ask them to find the root cause of our sickness. The easiest way to understand root cause analysis is to think about common problems. Reference Materials Toggle sub-navigation.Teams and Organizations Toggle sub-navigation.Results provide preliminary evidence for: (I) a replicable negative symptom severity system and (II) symptoms with high centrality (e.g., Decreased Spontaneous Movement), that may be future treatment targets following replication to ensure the curent results generalize to other samples.Ĭlinical trial Network analysis Predominant negative symptoms Psychometrics Scale for the assessment of negative symptoms Symptom severity.Ĭopyright © 2016 Elsevier B.V. The most central symptoms were Decreased Spontaneous Movements at baseline and endpoint, and Poverty of Speech for estimated change. In the change network the apathy-inattentiveness symptom group split into three other groups. The baseline and endpoint networks did not significantly differ in terms of connectivity, but both significantly (P<0.05) differed to the change network. Network analysis showed that the baseline and endpoint symptom severity systems formed symptom groups of Affect, Poor responsiveness, Lack of interest, and Apathy-inattentiveness. The networks were contrasted for connectivity with permutation tests. Central symptoms to each network were identified. Networks analyses were computed from the Scale for the Assessment of Negative Symptoms (SANS) scores for baseline and endpoint for severity, and estimated change based on mixed models. Patients with chronic schizophrenia and predominant negative symptoms participated in three clinical trials that compared placebo and amisulpride to 60days (n=487). We aimed to identify: (I) negative symptom systems (I) central negative symptoms within each system and (III) differences between the systems, based on network analysis of negative symptoms for baseline, endpoint and change. Reasons for the recent mixed success of research into negative symptoms may be informed by conceptualizing negative symptoms as a system that is identifiable from network analysis.
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