Notes

Approval in the Brazilian Portuguese form of Evidence-based Practice Information Review inside Nursing jobs (EKAN).
Context Childhood cancer care is delivered by interprofessional healthcare teams however little is known about how parents perceive overall team-delivered care (TDC). Objectives We sought to describe parent perceptions of TDC and associated factors, including care rendered by individual clinicians, teamwork, information consistency, and patient and parent characteristics. Methods Cross-sectional surveys were distributed to parents of 104 children with recurrent/refractory cancer enrolled in a multi-site symptom management trial. The primary outcome, TDC, was parent report of care quality delivered by the child's care team during the preceding 3 months. Likert scaled items (excellent/very good/good/fair/poor) queried care quality delivered by individual clinicians, perceived teamwork and other factors. Factors associated with parent perceptions of "excellent" TDC were identified using Fisher's Exact test. Results Eighty-six parents (83%) responded. Over the preceding 3 months, 63% (n=54) of parents reported excellent TDC. However, only 47% (n=40) described their care team's teamwork as excellent. Approximately one-quarter (24%) described care rendered by their child's oncologist as less-than-excellent. Among parents who reported psychosocial clinician involvement (71%, n=60), only 43% described this care as excellent. Individually, excellent care from each clinician type (oncologist, psychosocial clinician, primary nurse) was associated with excellent TDC (all p≤0.001, no correction for multiple comparisons). Conclusion Among parents of children with advanced cancer, more than one-third report less-than-excellent TDC. Additionally, less than half report excellent teamwork, and ratings of care rendered by individual clinicians are highly variable. Findings suggest interventions are needed to enhance interprofessional teamwork in the care of children with advanced cancer.Past work has demonstrated that the reward positivity (RewP) indexes a feedback-monitoring system sensitive to positive outcomes. Research on the RewP has frequently used simple guessing tasks. In the doors task, participants receive either feedback denoting monetary gain or loss on each trial after choosing one of two doors to "open." Typically, these tasks present visual stimuli on a computer monitor. The current study developed and validated a version of the doors task utilizing auditory stimuli to indicate gains and losses. Thirty-eight young adults completed both a standard visual doors task and a novel auditory doors task. Results indicated that the audio RewP was more positive and peaked earlier than the visual RewP. Additionally, the audio RewP both moderately correlated with and demonstrated similar internal consistency as the visual RewP. These results suggest that the auditory doors task elicits the same feedback-monitoring processes as the visual doors task.Multiple genetic risk factors have been associated with psychiatric disorders which provides the genetic insight to these disorders; however, the etiology of these disorders is still elusive. 15q13.3 was previously associated with schizophrenia, bipolar and other neurodevelopmental disorders. Whereas, the FAN1 which encodes the Fanconi anemia associated nuclease 1 was suggested to be causal gene for 15q13.3 related psychiatric disorders. This study aimed to investigate the association of FAN1 with three major psychiatric disorders. Herein, we conducted a case-control study with the Chinese Han population. Three single nucleotide polymorphisms (SNPs) of FAN1 were genotyped in 1248 schizophrenia cases, 1344 bipolar disorder cases, 1056 major depressive disorder cases and 1248 normal controls. We found that SNPs rs7171212 was associated with bipolar (pallele = 0.023, pgenotype = 0.022, OR = 0.658) and schizophrenia (pallele = 0.021, pgenotype = 0.019, OR = 0.645). Whereas, rs4779796 was associated with schizophrenia (pgenotype = 0.001, adjusted pgenotype = 0.003, OR = 1.089). In addition, rs7171212 (adjusted pallele = 0.018, adjusted pgenotype = 0.018, OR = 0.652) and rs4779796 (adjusted pgenotype = 0.024, OR = 1.12) showed significantly associated with combined cases of schizophrenia and bipolar disorder. Further, meta-analysis was performed with the case-control data and dataset extracted from previously reported genome-wide association study to validate the promising SNPs. see more Our results provide the new evidence that FAN1 may be a common susceptibility gene for schizophrenia and bipolar disorder in Han Chinese. These novel findings need further validation with larger sample size and functional characterization to understand the underlying pathogenic mechanism behind FAN1 in the prevalence of schizophrenia and bipolar disorders.The majority of single nucleotide variants (SNVs) identified in Genome Wide Association Studies (GWAS) fall within non-protein coding DNA and have the potential to alter gene expression. Non-protein coding DNA can control gene expression by acting as transcription factor (TF) binding sites or by regulating the organization of DNA into chromatin. SNVs in non-coding DNA sequences can disrupt TF binding and chromatin structure and this can result in pathology. Further, environmental health studies have shown that exposure to xenobiotics can disrupt the ability of TFs to regulate entire gene networks and result in pathology. However, there is a large amount of interindividual variability in exposure-linked health outcomes. One explanation for this heterogeneity is that genetic variation and exposure combine to disrupt gene regulation, and this eventually manifests in disease. Many resources exist that annotate common variants from GWAS and combine them with conservation, functional genomics, and TF binding data. These annotation tools provide clues regarding the biological implications of an SNV, as well as lead to the generation of hypotheses regarding potentially disrupted target genes, epigenetic markers, pathways, and cell types. Collectively this information can be used to predict how SNVs can alter an individual's response to exposure and disease risk. A basic understanding of the regulatory information contained within non-protein coding DNA is needed to predict the biological consequences of SNVs, and to determine how these SNVs impact exposure-related disease. We hope that this review will aid in the characterization of disease-associated genetic variation in the non-protein coding genome.
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