Regional data exchange to improve care for veterans after non-VA hospitalization: a randomized controlled trial

BACKGROUND: Coordination of care, especially after a patient experiences an acute care event, is a challenge for many health systems. Event notification is a form of health information exchange (HIE) which has the potential to support care coordination by alerting primary care providers when a patient experiences an acute care event. While promising, there exists little evidence on the impact of event notification in support of reengagement into primary care. The objectives of this study are to 1) examine the effectiveness of event notification on health outcomes for older adults who experience acute care events, and 2) compare approaches to how providers respond to event notifications. METHODS: In a cluster randomized trial conducted across two medical centers within the U.S. Veterans Health Administration (VHA) system, we plan to enroll older patients (≥ 65 years of age) who utilize both VHA and non-VHA providers. Patients will be enrolled into one of three arms: 1) usual care; 2) event notifications only; or 3) event notifications plus a care transitions intervention. In the event notification arms, following a non-VHA acute care encounter, an HIE-based intervention will send an event notification to VHA providers. Patients in the event notification plus care transitions arm will also receive 30 days of care transition support from a social worker. The primary outcome measure is 90-day readmission rate. Secondary outcomes will be high risk medication discrepancies as well as care transitions processes within the VHA health system. Qualitative assessments of the intervention will inform VHA system-wide implementation. DISCUSSION: While HIE has been evaluated in other contexts, little evidence exists on HIE-enabled event notification interventions. Furthermore, this trial offers the opportunity to examine the use of event notifications that trigger a care transitions intervention to further support coordination of care. TRIAL REGISTRATION: ClinicalTrials.gov NCT02689076. "Regional Data Exchange to Improve Care for Veterans After Non-VA Hospitalization." Registered 23 February 2016

Community-based models of care facilitating the recovery of people living with persistent and complex mental health needs: a systematic review and narrative synthesis

Objective: This study aims to assess the effectiveness of community-based models of care (MoCs) supporting the recovery of individuals who experience persistent and complex mental health needs. Method: We conducted a systematic review and narrative synthesis of MoC studies reporting clinical, functional, or personal recovery from October 2016 to October 2021. Sources were Medline, EMBASE, PsycInfo, CINAHL, and Cochrane databases. Studies were grouped according to MoC features. The narrative synthesis was led by our researchers with lived experience. Results: Beneficial MoCs ranged from well-established to novel and updated models and those explicitly addressing recovery goals and incorporating peer support: goal-focused; integrated community treatment; intensive case management; partners in recovery care coordination; rehabilitation and recovery-focused; social and community connection-focused; supported accommodation; and vocational support. None of our diverse group of MoCs supporting recovery warranted a rating of best practice. Established MoCs, such as intensive case management, are promising practices regarding clinical and functional recovery, with potential for enhancements to support personal recovery. Emerging practice models that support personal and functional recovery are those where consumer goals and priorities are central. Conclusion: Evidence for established models of care shows that there is a need for inevitable evolution and adaptation. Considering the high importance of effective MoCs for people experiencing persistent and complex mental health needs, further attention to service innovation and research is required. Greater emphasis on the inclusion of lived and living experience in the design, delivery, implementation, and research of MoCs is needed, to enhance MOCs' relevance for achieving individual consumer recovery outcomes

Community-based models of care facilitating the recovery of people living with persistent and complex mental health needs: a systematic review and narrative synthesis

ObjectiveThis study aims to assess the effectiveness of community-based models of care (MoCs) supporting the recovery of individuals who experience persistent and complex mental health needs.MethodWe conducted a systematic review and narrative synthesis of MoC studies reporting clinical, functional, or personal recovery from October 2016 to October 2021. Sources were Medline, EMBASE, PsycInfo, CINAHL, and Cochrane databases. Studies were grouped according to MoC features. The narrative synthesis was led by our researchers with lived experience.ResultsBeneficial MoCs ranged from well-established to novel and updated models and those explicitly addressing recovery goals and incorporating peer support: goal-focused; integrated community treatment; intensive case management; partners in recovery care coordination; rehabilitation and recovery-focused; social and community connection-focused; supported accommodation; and vocational support. None of our diverse group of MoCs supporting recovery warranted a rating of best practice. Established MoCs, such as intensive case management, are promising practices regarding clinical and functional recovery, with potential for enhancements to support personal recovery. Emerging practice models that support personal and functional recovery are those where consumer goals and priorities are central.ConclusionEvidence for established models of care shows that there is a need for inevitable evolution and adaptation. Considering the high importance of effective MoCs for people experiencing persistent and complex mental health needs, further attention to service innovation and research is required. Greater emphasis on the inclusion of lived and living experience in the design, delivery, implementation, and research of MoCs is needed, to enhance MOCs' relevance for achieving individual consumer recovery outcomes

The Vehicle, Spring 2010

Table of Contents ForgettingRashelle McNairpage 34 MuseMary Lieskepage 35 My CompulsionAshton Tembypage 38 MemoryKate Vandermeerpage 41 Killmercialize MeGreg Petersonpage 42 PenJake Smithpage 46 GrassKate Vandermeerpage 48 Character CreationMary Lieskepage 52 Ring Around TheKim Hunter-Perkinspage 54 The Great Cursive ScareJake Smithpage 55 OpiateDoug Urbanskipage 61 What Happens to Little Girls...Jennifer O\u27Neilpage 63 Poetry Sunny DaysRyan Poolpage 2 AtlantisDoug Urbanskipage 4 Garbage CityKate Vandermeerpage 6 Fat Girl ThongsKim Hunter-Perkinspage 7 MercilessRosalia Pecorapage 19 ChemistryMary Lieskepage 20 He-Who-Stopped-TalkingJustin Sudkamppage 22 In Which Iris Contemplates a Barren EarthSean Slatterypage 24 At the Bottom of the WorldNick Canadaypage 27 Dogma: Mush!Scott Maypage 28 ThiefMary Lieskepage 29 Prose Coming HomeDoug Urbanskipage 8 DodoDan Davispage 31 The Poet in the PedestrianScott Maypage 37 Toxic RainJacob Swansonpage 40 What\u27s Your Greatest Fear?Justine Fittonpage 43 Soul VoiceHolly Thomaspage 49 Conversations with a SniperKim Hunter-Perkinspage 56 LettersDaniel Paquinpage 65 Art San Marcos, MexicoKate Vandermeercover Contemplation of the World\u27s EndNicholas Giffordpage 18 Little Lady SitsSarah Hadwigerpage 26 MoodAlycia Rockeypage 30 Four Ducks in a RowMegan Mathypage 36 The Daily EasternBen Tillerypage 39 BirdsAlycia Rockeypage 45 March of the BugsMegan Mathypage 47 Mexico Work ExperienceKate Vandermeerpage 53 Feather and JewelsAlycia Rockeypage 60 The ForgottenMegan Mathypage 64 Special Features Fall 2009-Spring 2010 Vehicle Award Winnerspage 1 James K. Johnson Creative Writing Awardpage 74 Kim Hunter-PerkinsWinning Entries (Poetry)page 75 Clint WalkerWinning Entry (Fiction)page 86 Faculty Spotlight: Professor Jason Brownpage 99 About the Contributorspage 106 About the Editorspage 110https://thekeep.eiu.edu/vehicle/1093/thumbnail.jp

EZH2 modifies sunitinib resistance in renal cell carcinoma by kinome reprogramming

Acquired and intrinsic resistance to receptor tyrosine kinase inhibitors (RTKi) represent a major hurdle in improving the management of clear cell renal cell carcinoma (ccRCC). Recent reports suggest that drug resistance is driven by tumor adaptation via epigenetic mechanisms that activate alternative survival pathways. The histone methyl transferase EZH2 is frequently altered in many cancers including ccRCC. To evaluate its role in ccRCC resistance to RTKi, we established and characterized a spontaneously metastatic, patient-derived xenograft (PDX) model that is intrinsically resistant to the RTKI sunitinib but not to the VEGF therapeutic antibody bevacizumab. Sunitinib maintained its anti-angiogenic and anti-metastatic activity but lost its direct anti-tumor effects due to kinome reprogramming, which resulted in suppression of pro- apoptotic and cell cycle regulatory target genes. Modulating EZH2 expression or activity suppressed phosphorylation of certain RTK, restoring the anti-tumor effects of sunitnib in models of acquired or intrinsically resistant ccRCC. Overall, our results highlight EZH2 as a rational target for therapeutic intervention in sunitinib-resistant ccRCC as well as a predictive marker for RTKi response in this disease.This research was funded by Roswell Park Cancer Institute’s Cancer Center Support Grant from National Cancer Institute, NIH P30CA016056 (RP) and a generous donation by Richard and Deidre Turner (RP). This investigation was conducted in-part in a facility constructed with support from Research Facilities Improvement Program Grant Number C06 RR020128-01 from the National Center for Research Resources, National Institutes of Health

LSST: from Science Drivers to Reference Design and Anticipated Data Products

(Abridged) We describe here the most ambitious survey currently planned in the optical, the Large Synoptic Survey Telescope (LSST). A vast array of science will be enabled by a single wide-deep-fast sky survey, and LSST will have unique survey capability in the faint time domain. The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the Solar System, exploring the transient optical sky, and mapping the Milky Way. LSST will be a wide-field ground-based system sited at Cerro Pach\'{o}n in northern Chile. The telescope will have an 8.4 m (6.5 m effective) primary mirror, a 9.6 deg$^2$ field of view, and a 3.2 Gigapixel camera. The standard observing sequence will consist of pairs of 15-second exposures in a given field, with two such visits in each pointing in a given night. With these repeats, the LSST system is capable of imaging about 10,000 square degrees of sky in a single filter in three nights. The typical 5$\sigma$ point-source depth in a single visit in $r$ will be $\sim 24.5$ (AB). The project is in the construction phase and will begin regular survey operations by 2022. The survey area will be contained within 30,000 deg$^2$ with $\delta<+34.5^\circ$, and will be imaged multiple times in six bands, $ugrizy$, covering the wavelength range 320--1050 nm. About 90\% of the observing time will be devoted to a deep-wide-fast survey mode which will uniformly observe a 18,000 deg$^2$ region about 800 times (summed over all six bands) during the anticipated 10 years of operations, and yield a coadded map to $r\sim27.5$. The remaining 10\% of the observing time will be allocated to projects such as a Very Deep and Fast time domain survey. The goal is to make LSST data products, including a relational database of about 32 trillion observations of 40 billion objects, available to the public and scientists around the world.Comment: 57 pages, 32 color figures, version with high-resolution figures available from https://www.lsst.org/overvie

SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues

Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we identify 4 genomic loci with suggestive associations for SARS-CoV-2 susceptibility and 19 for COVID-19 disease severity. Four of these 23 loci likely have an ethnicity-specific component. Genome-wide association study (GWAS) signals in 11 loci colocalize with expression quantitative trait loci (eQTLs) associated with the expression of 20 genes in 62 tissues/cell types (range: 1:43 tissues/gene), including lung, brain, heart, muscle, and skin as well as the digestive system and immune system. We perform genetic fine mapping to compute 99% credible SNP sets, which identify 10 GWAS loci that have eight or fewer SNPs in the credible set, including three loci with one single likely causal SNP. Our study suggests that the diverse symptoms and disease severity of COVID-19 observed between individuals is associated with variants across the genome, affecting gene expression levels in a wide variety of tissue types

Large-scale sequencing identifies multiple genes and rare variants associated with Crohn’s disease susceptibility

peer reviewe