Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=2&sort=program_officials
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=program_officials", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=program_officials", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=3&sort=program_officials", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=program_officials" }, "data": [ { "type": "Grant", "id": "4374", "attributes": { "award_id": "1457762", "title": "Collaborative Research: Developing novel methods for estimating coevolutionary processes using tapeworms and their shark and ray hosts", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "PHYLOGENETIC SYSTEMATICS" ], "program_reference_codes": [], "program_officials": [], "start_date": "2015-03-15", "end_date": "2020-02-29", "award_amount": 395925, "principal_investigator": { "id": 14901, "first_name": "Janine", "last_name": "Caira", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 257, "ror": "https://ror.org/02der9h97", "name": "University of Connecticut", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true }, "abstract": "Parasites are everywhere and many species have been with their hosts for a long evolutionary time and are extremely particular about the kinds of hosts they parasitize. Somewhat unexpectedly, recent research suggests that many parasite species do not necessarily share a similar evolutionary history with their hosts; rather other factors may be at play in shaping these parasitic associations. Yet, little is understood about which other factors, such as diet or geographic distribution, influence these relationships. This is largely because a method for assessing the importance of other factors is not currently available. This research will develop a method and will test it using a well-known and species-rich system consisted of the tapeworms of sharks and stingrays. This method will be widely applicable to other coevolutionary systems, helping to further our understanding not only of host-parasite systems in general, but also of other biological systems involving intimate associations. Close species associations are ubiquitous and better knowledge on the role of the environment in shaping species associations will be critical to forecasting biodiversity's response to climate change. The research will train postdoctoral researchers and graduate students in quantitative techniques in evolutionary biology.\n\n\nThis project moves towards a more mechanistic modeling of the biological influences involved in the coevolution between parasites and hosts. Phylogenies will be generated for a large number of cestode genera, time-calibrated phylogenies will be generated for their corresponding shark and ray (elasmobranch) hosts and robust parasite-host association data will be compiled. New methods and open-source software tools using approximate Bayesian computation will be developed to allow the estimation and testing of models for the evolution of parasite-host systems. The models for parasite evolution will be geographically explicit and will include factors such as cospeciation, environmentally driven extinction, geographic constraints on dispersal and host-switching, and some effects of intermediate hosts. These rich empirical data sets will allow the use of robust, cross-validation methods for hypothesis testing. The end result will be a methodological framework for assessing the contributions of multiple factors, in addition to cophylogeny, in structuring host associations and parasite evolution. The new software will be used to address three main research questions regarding factors that underlie parasite-host interactions including the relative roles various factors play in systems with different properties.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4189", "attributes": { "award_id": "1632935", "title": "BIGDATA: Collaborative Research: F: Foundations of Nonconvex Problems in BigData Science and Engineering: Models, Algorithms, and Analysis", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Big Data Science &Engineering" ], "program_reference_codes": [], "program_officials": [], "start_date": "2016-09-01", "end_date": "2020-08-31", "award_amount": 349999, "principal_investigator": { "id": 14107, "first_name": "Jack", "last_name": "Xin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 177, "ror": "", "name": "University of California-Irvine", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "In today's digital world, huge amounts of data, i.e., big data, can be found in almost every aspect of scientific research and human activity. These data need to be managed effectively for reliable prediction and inference to improve decision making. Statistical learning is an emergent scientific discipline wherein mathematical modeling, computational algorithms, and statistical analysis are jointly employed to address these challenging data management problems. Invariably, quantitative criteria need to be introduced for the overall learning process in order to gauge the quality of the solutions obtained. This research focuses on two important criteria: data fitness and sparsity representation of the underlying learning model. Potential applications of the results can be found in computational statistics, compressed sensing, imaging, machine learning, bio-informatics, portfolio selection, and decision making under uncertainty, among many areas involving big data.\n\nTill now, convex optimization has been the dominant methodology for statistical learning in which the two criteria employed are expressed by convex functions either to be optimized and/or set as constraints of the variables being sought. Recently, non-convex functions of the difference-of-convex (DC) type and the difference-of-convex algorithm (DCA) have been shown to yield superior results in many contexts and serve as the motivation for this project. The goal is to develop a solid foundation and a unified framework to address many fundamental issues in big data problems in which non-convexity and non-differentiability are present in the optimization problems to be solved. These two non-standard features in computational statistical learning are challenging and their rigorous treatment requires the fusion of expertise from different domains of mathematical sciences. Technical issues to be investigated will cover the optimality, sparsity, and statistical properties of computable solutions to the non-convex, non-smooth optimization problems arising from statistical learning and its many applications. Novel algorithms will be developed and tested first on synthetic data sets for preliminary experimentation and then on publicly available data sets for realism; comparisons will be made among different formulations of the learning problems.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10675", "attributes": { "award_id": "1U01IP001191-01", "title": "Evaluating influenza, SARS-CoV-2, and other respiratory virus vaccine effectiveness in prevention of acute illness in Washington state 2022-2027", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-30", "end_date": "2027-09-29", "award_amount": 2000000, "principal_investigator": { "id": 26733, "first_name": "Karen J", "last_name": "Wernli", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1955, "ror": "", "name": "KAISER FOUNDATION HEALTH PLAN OF WASHINGTON", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "As one of the current US Influenza Vaccine Effectiveness (US Flu VE) Network sites, we propose continuing our studies of vaccine effectiveness (VE) for seasonal influenza, COVID-19, and other respiratory viruses to prevent acute respiratory illness (ARI) in Washington state from 2022 to 2027 (Component A). Since March 2020, the COVID-19 pandemic has resulted in >80 million infections and ~1 million US deaths. Until the pandemic, the dominant respiratory virus impacting public health seasonally was influenza. In the US, up to 5% of the population sought outpatient care during a severe epidemic, and a typical epidemic caused tens of thousands of deaths and hundreds of thousands of hospitalizations. The COVID-19 pandemic catalyzed rapid adoption of telehealth care, in particular for patients with mild to moderate ARI, shifting patients from ambulatory visits to minimize healthcare exposure to COVID-19. Currently, influenza and COVID-19 vaccinations are the best available tools for reducing the respiratory virus burden and maintaining population immunity. Vaccination programs represent a substantial public health investment. Given the magnitude of this investment and the dynamic impact of respiratory viruses on public health, policymakers need accurate, timely, and relevant data representing real-world VE to monitor the impact on respiratory illness burden in US populations. The next 5 years of surveillance of respiratory illness in US populations will be critical in accounting for changes in respiratory virus burden. The US Flu VE Network has the capacity, infrastructure, research methods, and specimen collection experience to monitor any respiratory virus within US health care. From 2022-2027, we propose to enroll ~6000 KPWA infants, children, and adults including older adults in urgent care clinics, collect respiratory and blood specimens, complete enrollment and post-enrollment questionnaires, collaborate with laboratory services to type and genetically sequence specimens, collate and curate EHR data, collaborate across the Network with Component A sites, share data with Network Coordination Center (Component B), share specimens with site leading Component E, participate in Network research activities including dissemination, and develop new methods for estimation and inference in VE. Our specific aims to meet the goals of the US Flu VE Network are: Aim 1. Establish a platform to estimate VE of seasonal influenza and COVID-19 vaccines against respiratory viral illnesses in preventing laboratory- confirmed illness among children and adults with mild or moderate illness seeking care in ambulatory settings (Objective 1); Aim 2. Establish a protocol to obtain influenza and SARS-CoV-2 viral sequences from specimens collected among infected participants in the proposed outpatient network (Objective 2); Aim 3. Describe capacity and diagnostic test methods available in KPWA and methods to obtain COVID-19 vaccination data outside influenza season (Objective 3). Aim 4. Improve precision of the test-negative design by incorporate two-phase sampling methodology (methods aim).", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10991", "attributes": { "award_id": "5I01BX005469-02", "title": "COVID-19: Elucidating monoclonal and polyclonal seroantibody responses to the COVID-19 viral envelope", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2021-10-01", "end_date": "2023-09-30", "award_amount": null, "principal_investigator": { "id": 24795, "first_name": "Mohammad Mohseni", "last_name": "Sajadi", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1532, "ror": "https://ror.org/036a0e562", "name": "Baltimore VA Medical Center", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1532, "ror": "https://ror.org/036a0e562", "name": "Baltimore VA Medical Center", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "Background/Rationale: As the Coronavirus Disease 2019 (COVID-19) epidemic expands across the United States and the world, there are no proven therapies and little information is known regarding on immunity to this virus. At this stage of the pandemic, all prevention and treatment strategies that show promise must be explored. This proposal will focus on the polyclonal and monoclonal antibody responses to the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) envelope. Objectives: The overarching goal of this program is to obtain a comprehensive understanding of the polyclonal and monoclonal response to the SARS-CoV-2 envelope E, M, and S proteins. The specific aims of this proposal are: 1) Deconvolute the polyclonal antibody response against the viral envelope of SARS-CoV-2; 2) Isolate neutralizing and non-neutralizing monoclonal antibodies against various epitopes of spike protein (S), envelope protein (E), and membrane glycoprotein (M) of SARS-CoV-2; and 3) Map the corresponding epitope(s) of the monoclonal antibodies. Methods: We will obtain paired, acute and convalescent, samples from 60 inpatients and outpatients with COVID-19 (30 have already been enrolled from the VA Maryland Health Care System and the University of Maryland Medical System). We will screen samples by binding, live and pseudovirus neutralization. In this proposal, we also will have access to BSL3 facilities on this campus that run neutralization assay with live virus by one of the world experts in coronaviruses (Matt Frieman, PhD). Donors will be ranked on the basis of both neutralization potency and breadth, and binding. The top three donors in each of the inpatient and outpatient groups will be chosen for further study (top anti-RBD neutralization and breath, top anti- receptor binding domain (RBD)-depleted plasma neutralization and breath, and top spike binding titers with non-neutralizing plasma). In these six individuals, the anti-envelope antibody will be affinity purified; and fractionated using free- flow-electrophoresis. This technique can separate antibodies based on charge, which will lead to separation based on targeted epitopes as well. Individual fractions will be tested by binding and neutralization; and characteristic biochemical and functional signatures of antibodies targeting each epitope will be ascertained. Fractions of interest (different for each donor depending if neutralization or binding is targeted) will be sent for mass spectrometry. B cell libraries will also be made from the convalescent IgG and IgA memory B cell pools; and they will be interrogated using three complementary techniques including - acute phase plasmablast repertoire analysis, subtraction analysis, and antigen baiting to identify potential antibodies. Finally, mass spectrometry will be used to rank antibody candidates. 40 monoclonal antibodies (mAbs) will be made and again be screened by neutralization potency, breadth, and isoelectric point, with top neutralizing and binding antibodies (matching the respective profiles of the fractions that were targeted) to be moved forward for fine epitope analysis by X-ray crystallography. Impact: If successful, this project will yield a substantial understanding of neutralizing/non-neutralizing antibodies and epitopes in COVID-19 disease, providing mAbs that can be moved into animal/human testing. This research has direct relevance to the health of Veterans as any monoclonal antibodies isolated can potentially be used for treatment and/or prevention of COVID-19.", "keywords": [ "2019-nCoV", "Acute", "Affinity Chromatography", "American", "Animals", "Antibodies", "Antibody Response", "Antigens", "Award", "B-Lymphocytes", "Binding", "Binding Sites", "Biochemical", "Biological Assay", "COVID-19", "COVID-19 patient", "COVID-19 prevention", "Categories", "Cells", "Cessation of life", "Characteristics", "Charge", "Codon Nucleotides", "Coronavirus", "Disease", "Doctor of Philosophy", "Electrophoresis", "Enrollment", "Epidemic", "Epitope Mapping", "Epitopes", "Family", "Fractionation", "Goals", "HIV", "Hand", "Health", "Healthcare Systems", "Human", "Immunity", "Immunoglobulin A", "Immunoglobulin G", "Individual", "Infection", "Inpatients", "Isoelectric Point", "Knowledge", "Libraries", "Maps", "Maryland", "Mass Spectrum Analysis", "Medical", "Membrane Glycoproteins", "Memory B-Lymphocyte", "Methods", "Monoclonal Antibodies", "Nucleoproteins", "Outpatients", "Patients", "Persons", "Phase", "Plasma", "Plasmablast", "Plasmids", "Prevention strategy", "Production", "Proteins", "Protocols documentation", "Research", "Running", "SARS-CoV-2 antibody", "SARS-CoV-2 infection", "SARS-CoV-2 spike protein", "Sampling", "System", "Techniques", "Testing", "United States", "Universities", "Vaccines", "Veterans", "Viral", "Virus", "X-Ray Crystallography", "biosafety level 3 facility", "convalescent plasma", "env Gene Products", "experience", "experimental study", "interest", "multiple myeloma M Protein", "neutralizing antibody", "novel therapeutics", "novel vaccines", "pandemic disease", "participant enrollment", "polyclonal antibody", "programs", "receptor binding", "response", "treatment strategy" ], "approved": true } }, { "type": "Grant", "id": "10571", "attributes": { "award_id": "1U01IP001182-01", "title": "RFA-IP-22-004, Multidisciplinary Approach to Understanding Vaccine Efficacy and Transmission of Viral Respiratory Tract Infections in the Real World", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-30", "end_date": "2027-09-29", "award_amount": 2483947, "principal_investigator": { "id": 26592, "first_name": "Stacey", "last_name": "House", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 827, "ror": "", "name": "WASHINGTON UNIVERSITY", "address": "", "city": "", "state": "MO", "zip": "", "country": "United States", "approved": true }, "abstract": "– COMPONENT A Influenza and SARS-CoV-2 are major causes of morbidity and mortality and constitute the leading causes of vaccine preventable deaths in the United States. A better understanding of vaccine effectiveness for these viral pathogens is critical to drive public health decisions and interventions. We propose utilizing a multidisciplinary approach to conduct a test-negative study to determine influenza and SARS-CoV-2 vaccine effectiveness in ambulatory patients with respiratory tract infections. The team of investigators includes experts in emergency medicine, infectious disease, pediatrics, epidemiology, information technology, molecular microbiology, virology, and genetics. This team has extensive experience in automated electronic medical record alerts, high-volume subject recruitment of ambulatory patients with respiratory tract infections, rapid escalation/de-escalation of recruitment efforts to match viral circulation patterns, respiratory and blood sample processing and shipment, quality data collection and verification, and viral genomic sequencing necessary to ensure the success of this project. The proposed study will encompass the following specific aims: 1)Utilize innovative automated alerting strategies to identify and recruit a diverse population of ambulatory patients with acute respiratory illnesses; 2) Estimate influenza and SARS-CoV-2 vaccine effectiveness using a test- negative study design in the general population as well as different demographic subgroups.; 3) Explore factors that influence influenza and SARS-CoV-2 vaccine effectiveness such as co-morbidities, vaccination type and schedule, and social determinants of health; 4) Determine effect of viral vaccination status on health outcomes in ambulatory patients with influenza and SARS-CoV-2 infection; 5) Contribute biospecimens and viral genomic sequencing data to a national repository of subjects with PCR-confirmed influenza or SARS-CoV-2 infection. To accomplish these goals, we will enroll at least 1000 ambulatory patients/year with acute respiratory tract infections in the proposed study. The subject population will be identified from the emergency departments of 3 large hospitals in the St. Louis area and their associated outpatient clinics. The available patient population at these enrolling sites is diverse with respect to race, ethnicity, age, socioeconomic status, and medical care access which will enhance the generalizability of the study outcomes to the US population.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4117", "attributes": { "award_id": "1601521", "title": "Competency-Based, Open Entry, Open Exit Biotechnology Education (CBOE-Biotech)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Advanced Tech Education Prog" ], "program_reference_codes": [], "program_officials": [], "start_date": "2016-06-15", "end_date": "2021-05-31", "award_amount": 819416, "principal_investigator": { "id": 13833, "first_name": "Jean", "last_name": "Bower", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1240, "ror": "https://ror.org/029z7h505", "name": "Salt Lake Community College", "address": "", "city": "", "state": "UT", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1240, "ror": "https://ror.org/029z7h505", "name": "Salt Lake Community College", "address": "", "city": "", "state": "UT", "zip": "", "country": "United States", "approved": true }, "abstract": "Salt Lake Community College (SLCC) will develop new competency-based, open-entry, open-exit program for their biotechnology credentials, complemented by an open lab during extended evening and weekend hours. This will allow SLCC to offer students and incumbent workers opportunities for flexible scheduling and accelerated program completion. The benefits to students will be reduced costs and enhanced well-being, especially for students who have families and jobs. Complementing the project is a targeted effort to recruit underserved populations. Working with the local biotechnology industry through an advisory board, the curriculum will be tailored to the needs of local employers to ensure it provides well-educated technicians for a growing industry. \n\nAs a result of this project, SLCC will develop new practices in competency-based, open-entry, open-exit instruction and delivery that increases student access to biotechnology education and helps them earn a credential. This flexibility will save students money and support family life. This project leverages an existing Title III grant from the Department of Education. The new curriculum will be informed by a DACUM process that involves input from local industry. This will ensure that it meets the evolving needs of Utah biotechnology companies, articulates with local baccalaureate degree program, and develops the student skills needed by industry. Through proactive mentoring and advising, use of student analytics, and project evaluation, this project will identify effective practices and potential pitfalls of competency-based education programs in technician education. Through dissemination via the ATE community, this project will become a model for other programs serving students with similar needs.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4793", "attributes": { "award_id": "1239849", "title": "Symposium on Design and Applications of Organic and Metal-Organic Porous Materials, Fall ACS Meeting, August 19-23, 2012, Philadelphia PA", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "SOLID STATE & MATERIALS CHEMIS" ], "program_reference_codes": [], "program_officials": [], "start_date": "2012-08-01", "end_date": "2013-07-31", "award_amount": 5000, "principal_investigator": { "id": 16628, "first_name": "Wei", "last_name": "Zhang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 172, "ror": "", "name": "University of Colorado at Boulder", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "abstract": "TECHNICAL SUMMARY\nThe Solid State and Materials Chemistry program supports the travel costs of speakers and graduates students to participate in the symposium titled \"Design and Applications of Organic and Metal-Organic Porous Materials\" that will be held at the 244th ACS meeting in Philadelphia, PA from Aug. 19-23, 2012. The ACS meeting is held twice every year, and serves as an interdisciplinary venue for members of the American Chemical Society to share information and research progress in areas of common interest. This symposium is scheduled for 2 full-day oral presentation sessions, which have been tentatively assigned the following topics, based on the organizer?s survey of the newest advances in porous materials:\nSession 1: Design and Concepts for Porous Polymers\nSession 2: Design and Concepts for Metal-Organic Frameworks (MOFs)\nSession 3: Design and Concepts for Covalent Organic Frameworks (COFs)\nSession 4: Design and Concepts for Covalent Organic Polyhedrons (COPs)\n\nNON TECHNICAL SUMMARY\nThis symposium will act as a leading vehicle for educating U.S. researchers with interests in designing/making new porous materials, but also the general scientific public about materials. The abstracts of this symposium will be made accessible via the Internet to the general public as a research and educational tool for this purpose. This symposium will also serve as an important international platform for allowing young U.S. scientists (i.e., starting professors, graduate students, and postdoctoral materials chemistry (of all forms) and engineering process.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "15995", "attributes": { "award_id": "1IK2HX003695-01A2", "title": "Improving Specialty Care Through Virtual Care Models", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2026-01-01", "end_date": "2030-12-31", "award_amount": null, "principal_investigator": { "id": 44448, "first_name": "Rebecca", "last_name": "Tisdale", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 3442, "ror": "", "name": "VETERANS ADMIN PALO ALTO HEALTH CARE SYS", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "1 Background: Specialty care deserts—the absence of specialists in geographic regions—have led to an access 2 crisis for the VA. In addition to increasing wait times and causing delays in care, these access needs drive many 3 Veterans to seek care outside VA, resulting in fragmented care, increased risks for hospitalization and hospital 4 readmission, and higher costs. In response, VA has launched the Clinical Resource Hub (CRH) program, which 5 seeks to deliver virtual care from “hub” to “spoke” sites in VA. VISN 21 has begun implementing this model in 6 cardiology at several spoke sites, but little is known about how care utilization and quality within the program. 7 Significance/Impact: This work seeks to better understand the effects of a virtual model of specialty care, in 8 this case cardiology care, on Veterans’ care access and quality. In addition, it aligns closely with several VA and 9 HSR&D priorities, chiefly access to care, virtual care/telehealth, and advancing the goals of the MISSION Act. 10 Innovation: The CRH program and the virtual care model at its core have yet to be studied in depth, and there 11 is no research in progress regarding specialty CRH despite strong interest at the national VA level in 12 understanding how specialty CRH is used and associated outcomes. Given that virtual cardiology care was very 13 limited prior to the COVID-19 pandemic, cardiology CRH is particularly novel. Hence, this project would add to 14 the limited body of research examining virtual cardiology care in the VA. In addition, the proposed work seeks to 15 evaluate this virtual care model at a time of unprecedented choice for Veterans between in-person and virtual 16 care, and limited data on how best to integrate these modalities. 17 Specific Aims: The proposed CDA will offer mentorship and training for me to pursue the following aims: 18 Aim 1. Evaluate quality of cardiology care associated with CRH implementation with administrative data. 19 I will use adjusted difference-in-difference event studies to compare cardiology quality metric achievement for 20 patients who received cardiology care via CRH versus those who received conventional VA-based cardiology care. 21 Aim 2. Assess Veteran perceptions of quality of cardiology care delivered via CRH. 22 I will interview Veterans participating in the CRH program and their caregivers regarding their experiences and 23 perceptions of quality of CRH cardiology care and elicit suggestions for key metrics to focus on for improvement. 24 Aim 3. Construct intervention to track and improve access to high-quality, equitable care through CRH. 25 Building on finding from Aims 1 and 2, I will interview clinicians and employ a facilitated deliberative process with 26 an expert advisory group to construct and pilot an intervention to improve quality. 27 Methodology: In Aim 1, I will use a difference-in-difference event study design to assess the impact of the program 28 on a battery of validated and/or guideline-based quality of cardiology care metrics. In Aim 2, guided by the Fortney 29 model of care access and quality, I will conduct semi-structured interviews of Veterans and caregivers receiving 30 care through the VISN 21 CRH program to understand their experiences with the CRH program and what outcomes 31 they recommend to include in a quality improvement intervention. In Aim 3, I will interview clinicians (Aim 3.1) and 32 conduct a facilitated deliberation process (Aim 3.2) to inform the construction of an intervention (proactive panel 33 management using a clinical dashboard tool) to track and improve quality of care and pilot the intervention. 34 Next Steps/Implementation: To continue moving this research into practice to improve health outcomes for 35 Veterans, I will extend the analysis of cardiology quality of care to compare cardiology care in the community to 36 CRH care. In addition, I will assess the effect of the intervention constructed in Aim 3 on patient outcomes and 37 clinician satisfaction via a hybrid implementation-effectiveness trial. I will continue to work with operational partners 38 to ensure cardiology CRH is improving access to high-quality cardiology care for Veterans. This project supports 39 my goal of becoming an independent VA health services researcher and leader in optimizing cardiovascular 40 disease care access, value, and equity for Veterans through virtual care innovations and implementation.", "keywords": [ "Achievement", "Address", "Area", "COVID-19 pandemic", "California", "Cardiology", "Cardiovascular Diseases", "Cardiovascular system", "Caregivers", "Caring", "Characteristics", "Cladribine", "Clinical", "Clinical Services", "Communities", "Community Health Care", "Dangerousness", "Data", "Disease", "Ensure", "Equity", "Evaluation", "Event", "Geographic Locations", "Goals", "Guidelines", "Health", "Health Services", "Health Services Accessibility", "Heart failure", "Homogeneously Staining Region", "Hospitalization", "Hospitals", "Improve Access", "Intervention", "Interview", "Medical", "Mentors", "Mentorship", "Methodology", "Methods", "Modality", "Modeling", "Morbidity - disease rate", "Nevada", "Outcome", "Pacific Islands", "Patient-Focused Outcomes", "Patients", "Perception", "Persons", "Physicians", "Policies", "Positioning Attribute", "Process", "Qualitative Methods", "Quality of Care", "Recommendation", "Research", "Research Design", "Research Personnel", "Resources", "Risk", "Rural Health", "Safety", "Site", "Specialist", "Structure", "Suggestion", "Telemedicine", "Telephone", "Testing", "Time", "Training", "Training Activity", "Veterans", "Visit", "Wait Time", "Work", "adverse outcome", "care fragmentation", "care seeking", "care utilization", "clinical implementation", "connected care", "cost", "dashboard", "design", "effectiveness/implementation trial", "experience", "follow-up", "health economics", "hospital readmission", "hospitalization rates", "implementation efforts", "implementation science", "improved", "innovation", "insight", "interest", "intervention effect", "medical specialties", "mortality", "novel", "operation", "patient subsets", "pilot test", "preference", "programs", "rapid growth", "research to practice", "response", "rural counties", "satisfaction", "sociodemographics", "southern nevada", "telehealth", "therapy design", "tool", "virtual", "virtual delivery", "virtual health care", "virtual model" ], "approved": true } }, { "type": "Grant", "id": "11337", "attributes": { "award_id": "1I01HX003562-01A2", "title": "Evaluating the Impact of COVID-19 on Case Management, Health Care Utilization, and Housing Outcomes for HUD-VASH Veterans", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2023-06-01", "end_date": "2025-05-31", "award_amount": null, "principal_investigator": { "id": 27390, "first_name": "Eric", "last_name": "Jutkowitz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 26704, "first_name": "JACK", "last_name": "TSAI", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2015, "ror": "", "name": "PROVIDENCE VA MEDICAL CENTER", "address": "", "city": "", "state": "RI", "zip": "", "country": "United States", "approved": true }, "abstract": "Background: The US Department of Housing and Urban Development-Veterans Affairs Supportive Housing (HUD-VASH) program offers permanent, subsidized independent housing and case management to over 60,000 Veterans annually. In response to COVID-19, HUD-VASH shifted case management from in-person to telephone/video interactions. The goal of this project is to examine the effect of HUD-VASH’s shift to virtual care on Veteran engagement and outcomes in the program. Our proposal is motivated by a working theory that virtual care increased access to case management, primary care, and improved behavioral quality measures conducive to phone/video interactions (e.g., follow-up after a psych hospitalization), but decreased access to specialist care and worsened quality measures not conducive to phone/video interactions (e.g., meds for opioid use disorder). Significance: The VA is dedicated to improving the housing and health of Veterans. Our project will advance policy by helping the National Homeless Programs Office understand the impact of virtual care in HUD-VASH to maximize program reach, engagement, and outcomes. The project addresses VA’s FY 2018- 2024 Strategic Objective 2.2 (“VA ensures at-risk and underserved Veterans receive what they need to eliminate Veteran suicide, homelessness, and poverty”), objectives of RFA HX-21-025 (changes to virtual care on Veteran outcomes), and objectives of HSR&D (virtual care and social determinants of health). Specific Aims: Aim 1. Determine the effect of HUD-VASH’s shift to virtual care during the COVID-19 pandemic on case management services: Hypothesis: HUD-VASH’s shift to virtual care during the pandemic resulted in more total, telephone and video case management as compared to a pre-pandemic period. Secondary analysis: Identify associations between Veteran factors (e.g., mental health diagnosis) with the use of case management before and after the shift to virtual care, and Veteran factors associated with not engaging in any virtual care. Aim 2. Evaluate the effect of HUD-VASH’s shift to virtual care during the pandemic on Veteran’s health care utilization and continuity of care. Hypothesis: HUD-VASH’s shift to virtual care during the pandemic increased the use of primary care and improved some behavioral quality measures while decreased other behavioral quality measures not conducive to virtual care and the use of outpatient specialist care. Secondary analysis: Examine Veteran factors associated with HUD-VASH program exits and utilization of health care in the year after program exit. Aim 3. Examine Veteran and provider experiences with virtual case management in HUD- VASH. Semi-structured interviews with VA leadership, case managers, and Veterans who experienced HUD- VASH’s shift to virtual care, will provide an understanding of the barriers to and facilitators of the implementation of virtual case management. Methodology: A convergent parallel mixed-methods design will be used. Data from the VA’s Corporate Data Warehouse (CDW) will be linked with Homeless Operations Management and Evaluation System (HOMES) for analysis. Using these data, Aims 1 and 2 will use an interrupted time series design with segmented regression to examine utilization outcomes before and after HUD-VASH’s shift to virtual care. For Aim 3, qualitative interviews with VA leadership, case managers and Veterans will capture the experience of implementing and receiving virtual care and give context to our quantitative findings. Next Steps/ Implementation: Our findings will inform the evolution of virtual care within the HUD-VASH program. This project will also inform the Homeless Programs Office of the impact and experience of transitioning to virtual care during the pandemic and the extent this transition and pandemic disrupted VA care of homeless Veterans.", "keywords": [ "Address", "Adopted", "Alcohol abuse", "Ambulatory Care", "Behavioral", "COVID-19", "COVID-19 impact", "COVID-19 pandemic", "Caring", "Case Management", "Case Manager", "Clinical Services", "Communities", "Complex", "Continuity of Patient Care", "Data", "Dedications", "Diagnosis", "Enrollment", "Ensure", "Evaluation", "Evolution", "Future", "Goals", "Health", "Health Services Accessibility", "Healthcare", "Home", "Homelessness", "Hospitalization", "Housing", "Interruption", "Interview", "Investments", "Joints", "Leadership", "Link", "Measures", "Medical", "Medical center", "Mental Health", "Methodology", "Methods", "Modeling", "Opioid Analgesics", "Outcome", "Outpatients", "Persons", "Pharmaceutical Preparations", "Policies", "Poverty", "Primary Care", "Provider", "Risk", "Series", "Services", "Specialist", "Structure", "Suicide", "System", "Systems Analysis", "Telephone", "Time", "U.S. Department of Housing and Urban Development", "United States Department of Veterans Affairs", "Veterans", "behavioral health", "clinical care", "data warehouse", "design", "evidence base", "experience", "follow-up", "health care service utilization", "implementation facilitators", "improved", "operation", "opioid use disorder", "outreach", "pandemic disease", "pre-pandemic", "programs", "public health emergency", "response", "secondary analysis", "social health determinants", "supported housing", "theories", "virtual", "virtual healthcare" ], "approved": true } }, { "type": "Grant", "id": "4173", "attributes": { "award_id": "1608537", "title": "The new identity of galectin-3 as a glycosaminoglycan binding protein", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Chemistry of Life Processes" ], "program_reference_codes": [], "program_officials": [], "start_date": "2016-09-01", "end_date": "2021-08-31", "award_amount": 420965, "principal_investigator": { "id": 14049, "first_name": "Tarun", "last_name": "Dam", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 512, "ror": "https://ror.org/0036rpn28", "name": "Michigan Technological University", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 512, "ror": "https://ror.org/0036rpn28", "name": "Michigan Technological University", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true }, "abstract": "Glycan-binding proteins are crucial for a wide range of biological processes. They belong to two distinct groups: lectins and glycosaminoglycan (GAG)-binding proteins (GAGBPs). A member of one group rarely possesses the characteristics of both groups. The human lectin Galectin-3 (Gal-3) is a member of the first group. This project is based on the finding that Gal-3, a lectin, actually possesses characteristics of a GAGBP. The current study investigates these newly-discovered characteristics of Gal-3. The research is integrated with educational activities through an initiative called \"From Bench to Blackboard.\" This initiative introduces glycobiology to high school students and K-12 teachers through lab- and web-based approaches. The anticipated results from the proposed work is revealing hitherto unknown properties of Gal-3 and will inspire new research activities involving Gal-3 and GAGs.\n\nGal-3 is one of the most extensively studied human lectins but it has never been reported as a GAGBP. However, preliminary data for this study show that Gal-3 binds to sulfated GAGs and proteoglycans. The proposed research elucidates the detailed interactions of Gal-3 with GAGs and proteoglycans. The length and sulfation level of GAGs, that are optimal for binding by Gal-3, are determined by calorimetry and spectroscopy. The GAG binding site of Gal-3 is being delineated with the use of site directed mutagenesis. Various biophysical techniques are employed to study non-covalent cross-linking of Gal-3 by GAGs and proteoglycans. In addition, competitive cross-linking of Gal-3 by GAGs and glycoproteins is also being examined. Information obtained from this research is redefining the binding properties of Gal-3 and providing a foundation for discovering Gal-3 dependent cellular and extracellular functions of GAGs and proteoglycans.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 2, "pages": 1424, "count": 14236 } } }