This study examined the relationship between change in symptom severity and personal recovery in patients with severe mental illness (SMI). Forty-nine outpatients at Mentrum/Arkin, Amsterdam, the Netherlands, were assessed at baseline and 3 years later, using the Brief Psychiatric Rating Scale and the Mental Health Recovery Measure. Correlation coefficients and linear regression analyses were used.
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Objective: This study investigated the different ways of orbital floor reconstruction with special focus on reconstruction materials, imaging modalities (intra-/ post-operative), 3D printing and navigation.
Methods: The heads of all governmental-run or associated cranio-maxillofacial surgery units in Switzerland, Austria and Germany were asked in person or received an email link for an online survey with 12 questions.
Background: Recovery from severe mental illness, including psychosis has been described as a personal and unique process, but it rarely is a journey undertaken without profound influences of significant others (family, mental health professionals). Diverging perspectives between persons with severe mental illness, family and professionals are frequent during the recovery process, notably in psychotic disorders. We aimed to explore processes of collaboration during recovery, to inform recovery supporting practices.
View Article and Find Full Text PDFTijdschr Psychiatr
October 2024
Background: A subgroup of patients with severe mental illness (SMI) is underrepresented in scientific research, in part due to barriers around giving informed consent. This may lead to response bias and lack of knowledge about this group. Retrospective research with existing patient data is the only way to increase our knowledge for some patient groups.
View Article and Find Full Text PDFUndesired coupling to the surrounding environment destroys long-range correlations in quantum processors and hinders coherent evolution in the nominally available computational space. This noise is an outstanding challenge when leveraging the computation power of near-term quantum processors. It has been shown that benchmarking random circuit sampling with cross-entropy benchmarking can provide an estimate of the effective size of the Hilbert space coherently available.
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