263 research outputs found

    Veterans Health Administration Mental Health Program Evaluation Capstone Report

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    The research described in this report was sponsored by the U.S. Department of Veterans Affairs and was conducted by Altarum and RAND Health, a division of the RAND Corporation.The RAND/Altarum team conducted this study between August 2006 and November 2010.The evaluation represents the most comprehensive evaluation of a mental health care system ever undertaken. The evaluation focused on the quality of care delivered to veterans with one or more of five mental health or substance abuse diagnoses: (1) schizophrenia; (2) bipolar disorder; (3) posttraumatic stress disorder (PTSD); (4) major depressive disorder; (5) substance use disorder.The evaluation's results should be of interest to policymakers in the areas of national defense and veterans' affairs, to mental health professionals, and to veterans and other audiences interested in veterans' health issues

    Analysis of rolling group therapy data using conditionally autoregressive priors

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    Group therapy is a central treatment modality for behavioral health disorders such as alcohol and other drug use (AOD) and depression. Group therapy is often delivered under a rolling (or open) admissions policy, where new clients are continuously enrolled into a group as space permits. Rolling admissions policies result in a complex correlation structure among client outcomes. Despite the ubiquity of rolling admissions in practice, little guidance on the analysis of such data is available. We discuss the limitations of previously proposed approaches in the context of a study that delivered group cognitive behavioral therapy for depression to clients in residential substance abuse treatment. We improve upon previous rolling group analytic approaches by fully modeling the interrelatedness of client depressive symptom scores using a hierarchical Bayesian model that assumes a conditionally autoregressive prior for session-level random effects. We demonstrate improved performance using our method for estimating the variance of model parameters and the enhanced ability to learn about the complex correlation structure among participants in rolling therapy groups. Our approach broadly applies to any group therapy setting where groups have changing client composition. It will lead to more efficient analyses of client-level data and improve the group therapy research community's ability to understand how the dynamics of rolling groups lead to client outcomes.Comment: Published in at http://dx.doi.org/10.1214/10-AOAS434 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

    Nurses\u27 Alumnae Association Bulletin, June 1969

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    Alumnae President\u27s Message Officers and Chairmen Financial Report Progressive Changes at Jefferson School of Nursing Report Student Activities School of Practical Nursing Report Jefferson Expansion Report Clerk-Typist Report Committee Reports Resume of Alumnae Meetings Class News 1969 CLINIC Correspondence Notice

    The PIN domain endonuclease Utp24 cleaves pre-ribosomal RNA at two coupled sites in yeast and humans

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    During ribosomal RNA (rRNA) maturation, cleavages at defined sites separate the mature rRNAs from spacer regions, but the identities of several enzymes required for 18S rRNA release remain unknown. PilT N-terminus (PIN) domain proteins are frequently endonucleases and the PIN domain protein Utp24 is essential for early cleavages at three pre-rRNA sites in yeast (A0, A1 and A2) and humans (A0, 1 and 2a). In yeast, A1 is cleaved prior to A2 and both cleavages require base-pairing by the U3 snoRNA to the central pseudoknot elements of the 18S rRNA. We found that yeast Utp24 UV-crosslinked in vivo to U3 and the pseudoknot, placing Utp24 close to cleavage at site A1. Yeast and human Utp24 proteins exhibited in vitro endonuclease activity on an RNA substrate containing yeast site A2. Moreover, an intact PIN domain in human UTP24 was required for accurate cleavages at sites 1 and 2a in vivo, whereas mutation of another potential site 2a endonuclease, RCL1, did not affect 18S production. We propose that Utp24 cleaves sites A1/1 and A2/2a in yeast and human cells

    Association of snR190 snoRNA chaperone with early pre-60S particles is regulated by the RNA helicase Dbp7 in yeast

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    Synthesis of eukaryotic ribosomes involves the assembly and maturation of precursor particles (pre-ribosomal particles) containing ribosomal RNA (rRNA) precursors, ribosomal proteins (RPs) and a plethora of assembly factors (AFs). Formation of the earliest precursors of the 60S ribosomal subunit (pre-60S r-particle) is among the least understood stages of ribosome biogenesis. It involves the Npa1 complex, a protein module suggested to play a key role in the early structuring of the pre-rRNA. Npa1 displays genetic interactions with the DExD-box protein Dbp7 and interacts physically with the snR190 box C/D snoRNA. We show here that snR190 functions as a snoRNA chaperone, which likely cooperates with the Npa1 complex to initiate compaction of the pre-rRNA in early pre-60S r-particles. We further show that Dbp7 regulates the dynamic base-pairing between snR190 and the pre-rRNA within the earliest pre-60S r-particles, thereby participating in structuring the peptidyl transferase center (PTC) of the large ribosomal subunit.The Henry/Henras group is supported by grants from ANR (ANR-20-CE12-0026) and funding from CNRS and University of Toulouse. R.A.M. is supported by grants from the Rectorat of Lebanese University. M.J. is supported by a Ph.D. fellowship from the Lebanese University and CIOES Organization. The group of J.d.l.C. is supported by the Spanish Ministry of Science and Innovation [PID2019-103859-GB-I00 AEI/ 10.13039/501100011033], and the Andalusian Regional Government (JA; BIO-271). J.C. was supported by a Ph.D. fellowship (PIF) from the University of Seville, and S.M.-V. is an academic research staff of the JA (PAIDI2020). M.T.B. and K.E.B. are supported by funding from the Deutsche Forschungsgemeinschaft (SFB860) and the University Medical Centre Göttingen

    Using appreciative inquiry to develop, implement and evaluate a multi-organisation ‘Cultivating Compassion’ programme for health professionals and support staff

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    The ‘Cultivating Compassion’ project was developed in response to a research and innovation call relating to compassion training for National Health Service staff in the South East of England. The project aims included the following: the use of Appreciative Inquiry to develop, implement and evaluate a sustainable and evidence-based programme of compassion awareness training through engaging with a diverse group of health professionals and support staff; an evaluation of a ‘train the trainers’ approach; and an evaluation of ‘compassion lead’ roles and a multi-modal compassion toolkit. The project team included academics from two universities and one medical school, NHS staff from three separate organisations and service users. The participants recruited to the study included doctors, nurses, receptionists, chaplains and others working in close contact with service users from within four NHS organisations in the South East of England. The main findings from the project using thematic analysis from participant focus groups and interviews identified project enablers and inhibitors, the value of project resources, and shifts in perspectives. Project conclusions highlighted the importance of effective senior-level support and organisational leadership in cultivating compassion within a healthcare organisation and the importance of the integration of compassion-promoting resources within existing staff development initiatives

    The contribution of depressive ‘disorder characteristics’ to determinations of prognosis for adults with depression : an individual patient data meta-analysis

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    This is the final version. Available on open access from Cambridge University Press via the DOI in this record.The supplementary material for this article can be found at https://doi.org/10.1017/S0033291721001367Background This study aimed to investigate general factors associated with prognosis regardless of the type of treatment received, for adults with depression in primary care. Methods We searched Medline, Embase, PsycINFO and Cochrane Central (inception to 12/01/2020) for RCTs that included the most commonly used comprehensive measure of depressive and anxiety disorder symptoms and diagnoses, in primary care depression RCTs (the Revised Clinical Interview Schedule: CIS-R). Two-stage random-effects meta-analyses were conducted. Results. Twelve (n = 6024) of thirteen eligible studies (n = 6175) provided individual patient data. There was a 31% (95%CI: 25 to 37) difference in depressive symptoms at 3–4 months per standard deviation increase in baseline depressive symptoms. Four additional factors: the duration of anxiety; duration of depression; comorbid panic disorder; and a history of antidepressant treatment were also independently associated with poorer prognosis. There was evidence that the difference in prognosis when these factors were combined could be of clinical importance. Adding these variables improved the amount of variance explained in 3–4 month depressive symptoms from 16% using depressive symptom severity alone to 27%. Risk of bias (assessed with QUIPS) was low in all studies and quality (assessed with GRADE) was high. Sensitivity analyses did not alter our conclusions. Conclusions. When adults seek treatment for depression clinicians should routinely assess for the duration of anxiety, duration of depression, comorbid panic disorder, and a history of antidepressant treatment alongside depressive symptom severity. This could provide clinicians and patients with useful and desired information to elucidate prognosis and aid the clinical management of depression. IntroductionMedical Research Council (MRC)Wellcome TrustMQ FoundationNational Institute of Health Research (NIHR)University College LondonUniversity of PennsylvaniaUniversity of SouthamptonUniversity of YorkUniversity of Exete

    Structural and non-coding variants increase the diagnostic yield of clinical whole genome sequencing for rare diseases

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    BACKGROUND: Whole genome sequencing is increasingly being used for the diagnosis of patients with rare diseases. However, the diagnostic yields of many studies, particularly those conducted in a healthcare setting, are often disappointingly low, at 25-30%. This is in part because although entire genomes are sequenced, analysis is often confined to in silico gene panels or coding regions of the genome.METHODS: We undertook WGS on a cohort of 122 unrelated rare disease patients and their relatives (300 genomes) who had been pre-screened by gene panels or arrays. Patients were recruited from a broad spectrum of clinical specialties. We applied a bioinformatics pipeline that would allow comprehensive analysis of all variant types. We combined established bioinformatics tools for phenotypic and genomic analysis with our novel algorithms (SVRare, ALTSPLICE and GREEN-DB) to detect and annotate structural, splice site and non-coding variants.RESULTS: Our diagnostic yield was 43/122 cases (35%), although 47/122 cases (39%) were considered solved when considering novel candidate genes with supporting functional data into account. Structural, splice site and deep intronic variants contributed to 20/47 (43%) of our solved cases. Five genes that are novel, or were novel at the time of discovery, were identified, whilst a further three genes are putative novel disease genes with evidence of causality. We identified variants of uncertain significance in a further fourteen candidate genes. The phenotypic spectrum associated with RMND1 was expanded to include polymicrogyria. Two patients with secondary findings in FBN1 and KCNQ1 were confirmed to have previously unidentified Marfan and long QT syndromes, respectively, and were referred for further clinical interventions. Clinical diagnoses were changed in six patients and treatment adjustments made for eight individuals, which for five patients was considered life-saving.CONCLUSIONS: Genome sequencing is increasingly being considered as a first-line genetic test in routine clinical settings and can make a substantial contribution to rapidly identifying a causal aetiology for many patients, shortening their diagnostic odyssey. We have demonstrated that structural, splice site and intronic variants make a significant contribution to diagnostic yield and that comprehensive analysis of the entire genome is essential to maximise the value of clinical genome sequencing.</p
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