Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1392&sort=-awardee_organization
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-awardee_organization", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1419&sort=-awardee_organization", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1393&sort=-awardee_organization", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1391&sort=-awardee_organization" }, "data": [ { "type": "Grant", "id": "6003", "attributes": { "award_id": "3R01AA026575-03S1", "title": "Preventing Alcohol Misuse among Young Adult Veterans through Brief Online Intervention", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Alcohol Abuse and Alcoholism (NIAAA)" ], "program_reference_codes": [], "program_officials": [ { "id": 20519, "first_name": "TATIANA NIKOLAYEVNA", "last_name": "Balachova", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-04-01", "end_date": "2023-03-31", "award_amount": 162960, "principal_investigator": { "id": 20520, "first_name": "Eric R.", "last_name": "Pedersen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Young adult veterans from the wars in Iraq and Afghanistan represent a population at risk for heavy drinking and resulting long-term problems from use. Unfortunately, few seek treatment for alcohol concerns. The objective of this planned research is to more fully test the efficacy of a very brief, inexpensive, single-session, and web-delivered personalized normative feedback (PNF) intervention developed by our team and evaluated in a successful pilot R34 study to prevent alcohol misuse and associated negative consequences, as well as increase behavioral health treatment seeking behaviors among a difficult to reach and treatment resistant veteran population. We expand on our successful pilot work by (1) building a large publicly available database of young veteran drinking and treatment seeking norms, (2) focusing on reaching veterans who have recently separated from the military and drink heavily but who have not recently sought any behavioral health treatment, (3) evaluating how an enhanced intervention offering PNF content specifically related to treatment seeking affects preparatory behaviors and actual treatment initiation, and (4) testing hypothesized mediators and moderators of intervention drinking and treatment initiation outcomes relevant for this population. In Aim 1, we add to our large database of drinking norms for the population by collecting drinking and treatment seeking information from veterans underrepresented in the pilot, such as female veterans (total sample N = 2,500). In Aim 2, we then use these norms in a randomized controlled trial of the PNF intervention designed to reach heavy drinking young veterans who are not currently receiving behavioral health care (N = 800) and test if additional feedback about treatment seeking can help promote treatment initiation among this treatment resistant group. Outcomes at 3, 6, 9, and 12 months are compared for participants receiving an enhanced PNF condition (N = 400) to an attention-only control condition (N = 400). In Aim 3, we test mediators of intervention efficacy on drinking outcomes (i.e., changes in perceived norms, increases in treatment initiation) and explore moderators of outcomes to determine if the brief intervention works better for veteran participants based on age, gender, reasons for drinking (social versus coping), perceived stigma, PTSD and depression symptoms, and solitary drinking. The proposed research offers significant methodological advancements to current PNF approaches by targeting a comorbid population with unmet behavioral health needs. The public health impact of the approach is promising as the intervention is hosted entirely on the Internet and can reach veterans outside of treatment settings. The self-sustaining program uses limited time and personnel and is available on mobile phones and tablets. The intervention can reach a large population resistant to conventional therapies and functions as a stand-alone approach to prevent drinking consequences and promote treatment initiation early, before alcohol misuse and comorbid problems become chronic.", "keywords": [ "Address", "Affect", "Afghanistan", "Age", "Alcohol abuse", "Alcohols", "Attention", "Behavior", "Car Phone", "Caring", "Chronic", "Clinic Visits", "Databases", "Development", "Early treatment", "Facebook", "Family", "Feedback", "Female", "Gender", "Grant", "Healthcare", "Healthcare Systems", "Heavy Drinking", "Human Resources", "Internet", "Intervention", "Iraq", "Left", "Life", "Mediating", "Mediator of activation protein", "Mental Depression", "Mental Health", "Methodology", "Methods", "Military Personnel", "Moods", "Motivation", "Outcome", "Participant", "Pattern", "Pilot Projects", "Population", "Populations at Risk", "Post-Traumatic Stress Disorders", "Prevention approach", "Program Accessibility", "Program Sustainability", "Public Health", "Quality of Care", "Randomized", "Randomized Controlled Trials", "Reporting", "Research", "Resistance", "Risk", "Sampling", "Subgroup", "Symptoms", "Tablets", "Testing", "Time", "Treatment Efficacy", "Unemployment", "United States Department of Veterans Affairs", "Veterans", "War", "Work", "alcohol abuse therapy", "alcohol comorbidity", "alcohol misuse", "alcohol misuse prevention", "alcohol related consequences", "alcohol seeking behavior", "alcohol use disorder", "attentional control", "base", "behavioral health", "brief intervention", "care seeking", "college", "comorbidity", "comparison group", "conventional therapy", "coping", "depressive symptoms", "design", "deter alcohol use", "drinking", "efficacy testing", "experience", "follow-up", "health assessment", "help-seeking behavior", "high risk", "intervention effect", "intervention participants", "male", "military veteran", "novel", "online intervention", "outreach", "personalized normative feedback", "post intervention", "post-traumatic symptoms", "prevent", "programs", "recruit", "screening", "sex", "social", "social media", "social stigma", "societal costs", "therapy design", "therapy development", "young adult" ], "approved": true } }, { "type": "Grant", "id": "6122", "attributes": { "award_id": "1R21LM013697-01", "title": "Using Road Traffic Data to Identify COVID-19 Priority Testing Locations in Southern California", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Library of Medicine (NLM)" ], "program_reference_codes": [], "program_officials": [ { "id": 20813, "first_name": "YANLI", "last_name": "WANG", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-09-01", "end_date": "2023-08-31", "award_amount": 143674, "principal_investigator": { "id": 20814, "first_name": "Sze-Chuan", "last_name": "Suen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "1 Project Summary 2 Without a vaccine or effective treatment, there is an urgent need for performing widespread 3 COVID-19 testing to control disease spread. However, complete population testing is 4 prohibitively challenging as testing supplies are limited and require trained health staff which 5 could be better used in caring for those confirmed to be infected. It is therefore critical to focus 6 testing in high-priority areas, where tests are likely to capture positive cases. Identifying infected 7 individuals quickly as tests become more widely available will provide crucial information on 8 overall disease prevalence to inform future disease control efforts. 9 We can help identify areas of potentially high disease prevalence by synthesizing and using 10 traffic patterns, as transportation patterns may shed light on possible transmission patterns in 11 Los Angeles County (LAC). We propose using the USC Archived Data Management System 12 (ADMS), which collects and synthesizes traffic data, to create an epidemic model informed by 13 up-to-date origin-destination traffic information. We will use the model to identify which of the 26 14 health districts in LAC are at highest risk for unidentified cases and optimally locate testing sites 15 within these regions. This allows our recommendations to incorporate change in transportation 16 patterns as social distancing recommendations evolve. Specifically, we will partner with the LA 17 County Department of Public Health to: 18 1. Use road sensor data to analyze traffic patterns in Los Angeles County to understand 19 the impact of social distancing guidelines on population flow. 20 2. Develop a dynamic transmission network model of COVID-19 using results from Aim 1 21 and disease parameters from the medical literature to identify high priority districts for 22 testing. 23 3. Develop a location model to optimally place drive-through testing sites in these districts. 24 The proposed work will use methodology from infectious disease transmission models, traffic 25 data, and facility location models together in a novel way. Not only will we provide much needed 26 insight using empirical data into population flow dynamics in the context of social distancing 27 recommendations, we will shed light on infectious disease modeling more generally. By creating 28 a compartmental network model with realistic, time-varying travel patterns in a large 29 metropolitan area, the proposed work will further our understanding of the impacts of structural 30 modeling assumptions on disease prediction.", "keywords": [ "Algorithms", "Area", "COVID-19", "COVID-19 testing", "California", "Caring", "Country", "County", "Data", "Data Management Resources", "Destinations", "Diagnosis", "Disease", "Disease model", "Elderly", "Engineering", "Epidemic", "Future", "Guidelines", "Health", "Individual", "Infection", "Letters", "Light", "Literature", "Location", "Los Angeles", "Maintenance", "Measures", "Medical", "Methodology", "Modeling", "Nursing Homes", "Patients", "Pattern", "Policies", "Population", "Prevalence", "Public Health", "Quarantine", "Recommendation", "Research Personnel", "Site", "Social Distance", "Social Environment", "Speed", "Structural Models", "Structure", "Symptoms", "System", "Testing", "Time", "Transportation", "Travel", "Vaccines", "Widespread Disease", "Work", "archive data", "archived data", "disease transmission", "disorder control", "effective therapy", "flu", "health training", "high risk", "infectious disease model", "insight", "metropolitan", "network models", "novel", "novel strategies", "sensor", "social", "transmission process", "urban area" ], "approved": true } }, { "type": "Grant", "id": "6526", "attributes": { "award_id": "3R01MD012252-04S1", "title": "A longitudinal investigation of minority stress in a diverse national sample of sexual minority adolescents", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Minority Health and Health Disparities (NIMHD)" ], "program_reference_codes": [], "program_officials": [ { "id": 21866, "first_name": "Deborah Elizabeth", "last_name": "Linares", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2017-09-25", "end_date": "2022-05-31", "award_amount": 206139, "principal_investigator": { "id": 21867, "first_name": "Jeremy Thomas", "last_name": "Goldbach", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 21868, "first_name": "Sheree Michelle", "last_name": "Schrager", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The overarching goal of this study is to determine how different trajectories of minority stress experienced throughout adolescence may predict behavioral health outcomes for SMA. Relying on methods established and tested in our preliminary work, we will recruit a national sample of diverse SMA (e.g., race and ethnicity, gender, urban vs. rural; N = 1,500) through both social media and respondent-driven sampling strategies in the first year of the project. We will follow participants for three years, incorporating the fundamental tenets of developmental psychopathology, which suggest that examining risk and protective factors for adolescents necessitates longitudinal exploration across critical stages of development. Guiding the proposal are three specific aims: Aim 1: Describe the individual and group trajectories of minority stress over time by following a national sample of SMA (N = 1,500) for 3 years. WH1: There will be differences in minority stress across adolescent development. Aim 2: Determine whether trajectories of minority stress are associated with differences in behavioral health outcomes over time. WH2.1: Trajectories of minority stress and behavioral health outcomes will be associated over time. WH2.2: Reporting higher levels of minority stress in early adolescence will be associated with poorer behavioral health outcomes in later adolescence. Aim 3: Determine whether the association between minority stress and behavioral health over time is different based on sociodemographic characteristics (e.g., urbanicity, gender, race and ethnicity). WH3: There will be significant differences in outcome trajectories by demographic subgroup. WH4: Trajectories of minority stress will be inversely associated with protective factors over time and will differ by demographic subgroup. To test our hypotheses, we propose cutting-edge longitudinal quantitative methodology including latent growth-curve modeling, which are rarely used to examine longitudinal risk among SMAs. The proposed research will be the first to determine how minority stress may influence health across adolescence, and this information can be used directly to inform clinical assessment and the development of targeted behavioral health interventions for this high-need population.", "keywords": [ "Academy", "Address", "Adolescence", "Adolescent", "Adolescent Development", "Adult", "Advisory Committees", "Age", "Alcohol or Other Drugs use", "Anxiety", "Bisexual", "Characteristics", "Clinical assessments", "Depression and Suicide", "Development", "Ethnic Origin", "Female", "Gays", "Gender", "Goals", "Growth", "HIV", "Health", "Heterosexuals", "Homophobia", "Hybrids", "Incidence", "Individual", "Investigation", "Lesbian", "Lesbian Gay Bisexual", "Literature", "Marshal", "Measurement", "Measures", "Medicine", "Methodology", "Methods", "Minority", "Modeling", "Nature", "Outcome", "Participant", "Pattern", "Population", "Psyche structure", "Psychometrics", "Psychopathology", "Public Health", "Race", "Reporting", "Research", "Research Personnel", "Respondent", "Risk", "Risk Factors", "Rural", "Same-sex", "Sampling", "Scientist", "Self-Injurious Behavior", "Sex Orientation", "Sexual and Gender Minorities", "Stress", "Subgroup", "Testing", "Time", "United States National Institutes of Health", "Violence", "Work", "Youth", "base", "behavioral health", "behavioral health intervention", "critical developmental period", "early adolescence", "experience", "health disparity", "heuristics", "high risk", "innovation", "knowledge of results", "life history", "peer", "protective factors", "recruit", "sexual minority", "sexual risk behavior", "social media", "sociodemographics", "theories" ], "approved": true } }, { "type": "Grant", "id": "6578", "attributes": { "award_id": "3R33AG057395-05S1", "title": "Application of Economics & Social psychology to improve Opioid Prescribing Safety (AESOPS) Trial", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 22033, "first_name": "PARTHA", "last_name": "BHATTACHARYYA", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2017-09-15", "end_date": "2022-08-31", "award_amount": 622940, "principal_investigator": { "id": 22034, "first_name": "JASON N.", "last_name": "DOCTOR", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 22035, "first_name": "MARK D", "last_name": "SULLIVAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "3URJUDP 'LUHFWRU 3ULQFLSDO ,QYHVWLJDWRU /DVW )LUVW 0LGGOH Doctor, Jason N. 8VH RQO\\ LI DGGLWLRQDO VSDFH LV QHHGHG WR OLVW DGGLWLRQDO SURMHFW SHUIRUPDQFH VLWHV Additional", "keywords": [ "Adherence", "Behavior", "Benzodiazepines", "California", "Caring", "Cessation of life", "Data", "Diagnostic", "Dose", "Economics", "Electronic Health Record", "Event", "Goals", "Guidelines", "Health system", "Illinois", "Malignant Neoplasms", "Opioid", "Overdose", "Patients", "Performance", "Pharmacotherapy", "Phase", "Poisoning", "Qualifying", "Recommendation", "Reporting", "Safety", "Social Psychology", "Suggestion", "Testing", "Text", "Treatment outcome", "Urine", "Visit", "drug testing", "electronic data", "improved", "milligram", "morphine equivalent", "non-opioid analgesic", "opioid use", "peer", "prescription opioid", "social", "tool" ], "approved": true } }, { "type": "Grant", "id": "6717", "attributes": { "award_id": "2UL1TR001855-06A1", "title": "Southern California Clinical and Translational Science Institute", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Center for Advancing Translational Sciences (NCATS)" ], "program_reference_codes": [], "program_officials": [ { "id": 22468, "first_name": "Deborah", "last_name": "Philp", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2016-07-01", "end_date": "2027-03-31", "award_amount": 9009695, "principal_investigator": { "id": 22469, "first_name": "Thomas A", "last_name": "Buchanan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 22470, "first_name": "Michele D.", "last_name": "Kipke", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Contact PD/PI: Buchanan, Thomas A OVERALL COMPONENT Project Summary/Abstract The Southern California Clinical and Translational Science Institute (SC CTSI) is submitting this revision for a third cycle of Clinical and Translational Science Award (CTSA) funding at a time of dramatic growth and opportunity at our hub. The SC CTSI encompasses the University of Southern California (USC) and Children's Hospital of Los Angeles (CHLA), in close partnership with the Los Angeles County Department of Health Services. Our vision is to be a leader in clinical and translational research to benefit diverse communities and special populations. Our approach builds on past success, acknowledging the changing landscape of clinical and translational research (CTR), the priorities of the CTSA program, and the evolving needs of our researchers, trainees, patients and communities. Our scope leverages strengths in clinical, health system, and community research, education and training, within two overarching themes: diversity and impact. Diversity is reflected in the communities, health systems, and scientific disciplines we engage to improve health care and outcomes. Impact encompasses academic productivity as well as benefit to our workforce, health systems, patients, and communities. To pursue our vision in the context of our scope and themes, we propose six specific aims: (1) Workforce Development: Train a highly skilled workforce with the knowledge, skills, and attitudes to conduct rigorous and reproducible research focused on the evolving health needs of diverse communities. (2) Collaboration and Engagement: Create a culture in which team-based research, engaging all stakeholders and following sound principles of team science, is the standard approach to addressing complex challenges in health and research. (3) Integration: Engage our diverse communities to establish clinical research priorities; identify barriers to research; and develop, demonstrate and disseminate innovative approaches to assure fully partnered clinical research across communities and the lifespan. (4) Methods and Process: Apply principles of quality and process improvement to clinical and translational research to develop and share novel approaches to enhance efficiency, quality and impact. (5) Informatics: Provide an agile information ecosystem that encompasses research, clinical care, communities and their environment, providing a holistic view of health and disease and serving as the engine for discovery, innovation and insight. (6) CTSA Hub: Participate in CTSA network activities, conduct multi-site studies, adopt successful models from peers, and develop, demonstrate and disseminate innovative approaches. Achieving these aims will advance the discipline of CTR directed at improving health in diverse and underserved communities. Glossary ACT – CTSA Program Accrual to Clinical Trials Network IRB – Institutional Review Board BERD – Biostatistics, Epidemiology, Research Design core group ISI – USC Information Sciences Institute CD2H – CTSA Program National Center for Data to Health IT – Information Technology CE – Community Engagement core group KSOM – Keck School of Medicine of USC CEREC – CTSA External Reviewer Exchange Consortium LA – Los Angeles CHDP – Community Health Demonstration Projects LAC DHS – LA County Department of Health Services CHLA – Children's Hospital Los Angeles LGBTQ+ – Lesbian, Gay, Bisexual, Transgender, Questioning CLIC – CTSA Center for Leading Innovation and Collaboration MRC – Mentor Resource Center CLS – Community Listening Session N3C – National COVID Cohort Collaborative CRI – Clinical Research Informatics core group NGHP – Nickerson Gardens Housing Project CSU – Colorado State University NIH – National Institutes of Health CSULA – California State University Los Angeles NLP – Natural Language Processing CTR – Clinical and Translational Research OC/OH-LA – Our Community/Our Health Los Angeles CTTI – Clinical Trials Transformation Initiative PBRN – Practice-Based Research Network DIAMOND – Development, Implementation, and Assessment of Novel Training in Domain-based Competencies Portal QbD – Quality by Design EAC – External Advisory Committee SC CTSI – Southern California Clinical and Translational Science Institute EDWAP – Enterprise Data Warehouse and Analytics Platform SEDoH – Social and Environmental Determinants of Health EHR – Electronic Health Record SNA – Social Network Analysis ERC – Education Resource Center SSI – USC Spatial Sciences Institute FHIR – Fast Healthcare Interoperability Resources STELLAR – Self Career Training Education Lifelong Learning Advancement Resource, a collaboration with Georgia CTSA HACLA – Housing Authority of the City of Los Angeles TBV – Team Building Voucher HDS – Healthcare Delivery Science TIN – Trial Innovation Network HHS – Hollywood, Health & Society TS – Team Science I2b2 – Informatics for Integrating Biology & the Bedside UCLA – University of California Los Angeles ICD – Institutional Career Development URM – Under-Represented in Medicine IIT – Investigator-Initiated Trial USC – University of Southern California IOB – Internal Oversight Board WD – Workforce Development core group Project Summary/Abstract Page 207 Contact PD/PI: Buchanan, Thomas A UL1", "keywords": [ "Address", "Adopted", "Advisory Committees", "African American", "Area", "Artificial Intelligence", "Asian Americans", "Attitude", "Biology", "Biometry", "California", "Child Health Services", "Cities", "Clinical", "Clinical Research", "Clinical Sciences", "Clinical Trials", "Clinical Trials Network", "Clinical and Translational Science Awards", "Collaborations", "Colorado", "Communities", "Community Health", "Community Health Aides", "Community Health Systems", "Competence", "Complement", "Complex", "County", "Data", "Data Analytics", "Development", "Development Plans", "Discipline", "Disease", "Ecosystem", "Electronic Health Record", "Environment", "Fast Healthcare Interoperability Resources", "Fostering", "Funding", "Gardenal", "Glossary", "Goals", "Growth", "Health", "Health Services", "Health system", "Housing", "Improve Access", "Individual", "Informatics", "Information Sciences", "Information Technology", "Institutes", "Institution", "Institutional Review Boards", "Instruction", "Knowledge", "Latino", "Leadership", "Lesbian Gay Bisexual Transgender", "Lesbian Gay Bisexual Transgender Queer", "Longevity", "Los Angeles", "Machine Learning", "Medicine", "Mentors", "Methods", "Mission", "Modeling", "Natural Language Processing", "Pathway Analysis", "Patients", "Pediatric Hospitals", "Peer Review", "Plant Roots", "Population", "Population Heterogeneity", "Population Research", "Process", "Productivity", "Program Sustainability", "Reproducibility", "Request for Applications", "Research", "Research Design", "Research Institute", "Research Personnel", "Research Priority", "Research Training", "Resources", "Role", "Science", "Services", "Site", "Social Network", "Social Sciences", "Societies", "Special Population", "Subgroup", "Talents", "Television", "Time", "Training", "Training and Education", "Translating", "Translational Research", "Translations", "United States National Institutes of Health", "Universities", "Vision", "Work", "Workforce Development", "authority", "base", "care outcomes", "career", "career development", "clinical care", "cohort", "community based participatory research", "community engaged research", "community engagement", "coronavirus disease", "data hub", "data infrastructure", "data warehouse", "design", "education resources", "epidemiology study", "experience", "health care delivery", "health data", "health organization", "improved", "innova" ], "approved": true } }, { "type": "Grant", "id": "6822", "attributes": { "award_id": "2P30CA014089-46", "title": "Clinical Protocol and Data Management", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Cancer Institute (NCI)" ], "program_reference_codes": [], "program_officials": [], "start_date": "1996-12-01", "end_date": "2026-11-30", "award_amount": 729482, "principal_investigator": { "id": 22645, "first_name": "Anthony Boutros", "last_name": "El-Khoueiry", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "- Clinical Protocol and Data Management (CPDM) At the USC Norris Comprehensive Cancer Center (NCCC), the Clinical Investigations Support Office (CISO) serves as the centralized clinical trials office for all cancer trials, independent of originating department or disease team. The senior CISO leadership includes Anthony El-Khoueiry MD who serves as the Medical Director, Kevin Kelly MD who serves as the Assistant Medical Director, and Zeno Ashai MBBS MPH who was appointed as Associate Director in 2019. CISO has three units: the Quality Assurance and Compliance Unit, the Regulatory Unit and the Research Operations Unit. CISO also supports the four clinical research oversight committees (Clinical Investigations Committee, Data Safety and Monitoring Committee, Quality Assurance Committee, and Phase I Committee). In the current period, CISO created a role for Disease Team Managers who supervise research staff and support the ten Disease Teams in Step 1 of Disease Team protocol reviews. Notably, CISO also expanded and enhanced services to support investigator initiated trials (IITs) over this grant period, including: new protocol development support (design and feasibility consultation meetings), addition of a protocol writer, Medidata Rave database development for interventional protocols, and multisite coordination services (enabling NCCC to serve as a coordinating site for multi-site IITs when appropriate; 14 such trials coordinated in 2019). Additional accomplishments over the grant period include: 1) an extensive CISO reorganization with addition of 20 full time employees (FTEs), enabling expansion of services cited above; 2) full implementation of the OnCore clinical trials management system; 3) a 43.5% increase in interventional trial accruals from 816 patients in 2015 to 1171 in 2019 (of which 223 (29%) were IITs); 4) a 57% decrease in time to activation from 42 weeks in 2015 to 18 weeks in 2019; 5) improvement in the quality of IITs that reduced the disapproval rate at the initial PRMS review from 35% in 2015 to 17% in 2019; and 6) substantial accrual of minorities in interventional trials (61.6% of 2019 accruals are from minority groups underrepresented in clinical trials). Despite the COVID- 19 pandemic, 659 patients were accrued to interventional trials from 1/1/2020 to 11/30/2020.", "keywords": [ "Administrator", "Asians", "COVID-19 pandemic", "California", "Cancer Center Support Grant", "Case Report Form", "Catchment Area", "Clinical", "Clinical Cancer Center", "Clinical Data", "Clinical Management", "Clinical Protocols", "Clinical Research", "Clinical Trials", "Communities", "Community Outreach", "Comprehensive Cancer Center", "Consultations", "Data", "Data Science", "Databases", "Development", "Disease", "Education and Outreach", "Eligibility Determination", "Employee", "Ensure", "Environment", "Evaluation", "Faculty", "Generations", "Grant", "Institution", "Intervention Trial", "Last Name", "Leadership", "Longevity", "Malignant Neoplasms", "Medidata", "Minority", "Minority Groups", "Mission", "Monitor", "Names", "Operations Research", "Participant", "Patients", "Phase", "Physician Executives", "Procedures", "Process", "Protocols documentation", "Regulation", "Reporting", "Research", "Research Personnel", "Resource Sharing", "Role", "Safety", "Services", "Site", "Standardization", "Supervision", "System", "Time", "Training", "Underrepresented Populations", "Universities", "University of Southern California Norris Cancer Center", "Update", "Woman", "Work", "base", "cancer clinical trial", "clinical investigation", "community engagement", "data management", "design", "education planning", "financial toxicity", "investigator-initiated trial", "meetings", "member", "minority patient", "multidisciplinary", "programs", "protocol development", "quality assurance", "service coordination", "therapy development", "tool" ], "approved": true } }, { "type": "Grant", "id": "7104", "attributes": { "award_id": "3R01AI140705-03S1", "title": "Infection and Rapid Transmission of SARS-C0V-2 in Ferrets", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [ { "id": 6817, "first_name": "Rodolfo M.", "last_name": "Alarcon", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2018-07-01", "end_date": "2020-07-02", "award_amount": 26293, "principal_investigator": { "id": 11091, "first_name": "Jae U", "last_name": "Jung", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1013, "ror": "", "name": "CLEVELAND CLINIC LERNER COM-CWRU", "address": "", "city": "", "state": "OH", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The massive outbreak of newly emerged coronavirus disease 2019 (COVID-19) has been rapidly spread worldwide, leading to a pandemic infection and serious global health emergency. In order to prevent further dissemination of severe acute respiratory syndrome coronavirus 2 (SARS- CoV-2), understanding the in vivo characteristics of viral infection and transmission is of high priority. Specifically, an animal model that recapitulates the COVID-19 clinical symptoms in human infection is urgently needed in order to decipher the transmission routes and pathobiology of this virus and ultimately allow testing of pharmaceutical interventions. With our expertise in the development of animal model, we have recently established a ferret model for SARS-CoV-2 infection and transmission that highly recapitulates aspects of the human infection. The main goal of this study is to comprehensively characterize ferret animal model for SARS-CoV-2 infection, transmission and pathogenesis for vaccine interventions.", "keywords": [ "2019-nCoV", "4 year old", "Age", "Animal Model", "Basic Science", "Biochemical", "Body Temperature", "COVID-19", "Characteristics", "Clinical", "Coughing", "Disease Outbreaks", "Epithelial Cells", "Exhibits", "Feces", "Ferrets", "Ferritin", "Genes", "Genetic", "Genotype", "Goals", "Human", "Immune Evasion", "Immunity", "In Vitro", "Infection", "Intervention", "Length", "Lung", "Modeling", "Mus", "Nanotechnology", "Nonstructural Protein", "Nose", "Pathogenesis", "Pathogenicity", "Patients", "Permeability", "Pharmacologic Substance", "Proteins", "Recombinants", "Reproducibility", "Role", "Route", "Safety", "Saliva", "Sampling", "Serum", "Severe Acute Respiratory Syndrome", "Severe Fever with Thrombocytopenia Syndrome Virus", "Severity of illness", "Specimen", "Structure", "Subunit Vaccines", "Surface", "Symptoms", "Testing", "Thrombocytopenia", "Time", "Transgenic Organisms", "Urine", "Vaccine Design", "Vaccines", "Viral", "Virus", "Virus Diseases", "Virus Shedding", "acute bronchiolitis", "aged", "animal model development", "chronic infection", "global health emergency", "immunogenicity", "in vivo", "mRNA Differential Displays", "mortality", "nanoparticle", "older patient", "pandemic disease", "parent grant", "prevent", "receptor binding", "therapeutic development", "transmission process", "vaccine candidate", "viral RNA", "viral transmission", "young adult" ], "approved": true } }, { "type": "Grant", "id": "7109", "attributes": { "award_id": "3U01AG054580-04S3", "title": "Toward Next Generation Data on Health and Life Changes at Older Ages: Administrative Supplement to track the effects of the COVID-19 pandemic on American families", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Aging (NIA)" ], "program_reference_codes": [], "program_officials": [ { "id": 7756, "first_name": "John", "last_name": "Phillips", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2017-09-30", "end_date": "2022-06-30", "award_amount": 3780279, "principal_investigator": { "id": 22908, "first_name": "Arie", "last_name": "Kapteyn", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This administrative supplement proposes to continue a high-frequency longitudinal survey of Americans’ experiences and behavior during the COVID-19 pandemic. The longitudinal survey was started on March 10. The survey will be conducted of respondents to the Understanding America Study (UAS), a probability-based panel of 8,500 adults representing the entire United States. Housed in the Center for Economic and Social Research, at the University of Southern California, the UAS employs an ‘Internet Panel,’ in which respondents answer surveys on a computer, tablet, or smart phone, wherever they are and whenever they wish to participate. Respondents are recruited through Address Based Sampling and receive a tablet and broadband Internet subscription if needed, thus facilitating coverage of the entire adult population 18 and over in the U.S. The set-up allows for an immediate and efficient transmission of data, which are quickly made publicly available through its online platform We will invite 7,000 UAS respondents to answer bi-weekly surveys (500 every day) through the rest of the year. We will report moving weekly averages that will be updated every night by incorporating the newest batch of responses. Thus, results will be based on a rotating sample of responses. Importantly, since the same respondents will be answering every other week, we will be able to track changes with much more accuracy than when one would draw new samples every week. Updated results will be posted on the UAS web-site every night. A questionnaire will measure (a) perceptions of coronavirus risk, (b) individual prevention behaviors, including use of a face mask, hand hygiene, avoidance of health facilities, and other forms of social distancing, (c) consumption of coronavirus information from various sources, (d) effects on the household’s financial situation and their consequences for physical and mental health, health care, psychological distress and substance use, and (e) coping behavior of households.", "keywords": [ "Address", "Administrative Supplement", "Adult", "Age", "Alcohol or Other Drugs use", "American", "Americas", "Area", "Behavior", "Behavioral", "COVID-19", "COVID-19 pandemic", "California", "Cellular Phone", "Chronic Disease", "Climacteric", "Cognition", "Communities", "Computers", "Consumption", "Coping Behavior", "Coronavirus", "Coronavirus Infections", "County", "Data", "Data Aggregation", "Economics", "Effectiveness", "Elderly", "Epidemic", "Family", "Food", "Frequencies", "General Population", "Hand", "Health", "Health Care Costs", "Health Care Visit", "Health care facility", "Healthcare", "Household", "Hygiene", "Income", "Individual", "Internet", "Interview", "Journals", "Loneliness", "Longitudinal Surveys", "Measures", "Mental Health", "Modeling", "Monitor", "Patient Self-Report", "Perception", "Personal Satisfaction", "Population", "Prevalence", "Prevention", "Probability", "Publishing", "Questionnaires", "Regulation", "Reporting", "Research", "Respondent", "Rest", "Retirement", "Risk", "Sampling", "Severities", "Social Discrimination", "Social Distance", "Social isolation", "Source", "Stress", "Subgroup", "Surveys", "Tablets", "Time", "Uncertainty", "Unemployment", "United States", "Universities", "Update", "Well in self", "age group", "avoidance behavior", "base", "contagion", "data exchange", "disease transmission", "disorder prevention", "disorder risk", "economic impact", "epidemiologic data", "experience", "face mask", "health economics", "high risk", "next generation", "pandemic disease", "payment", "physical conditioning", "programs", "psychologic", "psychological distress", "recruit", "response", "risk perception", "social", "socioeconomics", "web site" ], "approved": true } }, { "type": "Grant", "id": "7189", "attributes": { "award_id": "3U01AG064948-02S1", "title": "Harmonized Diagnostic Assessment of Dementia (DAD) for Longitudinal Aging Study of India (LASI)-Genomic study", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Aging (NIA)" ], "program_reference_codes": [], "program_officials": [ { "id": 11838, "first_name": "Alison Q.", "last_name": "Yao", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-09-15", "end_date": "2024-08-31", "award_amount": 360284, "principal_investigator": { "id": 11839, "first_name": "Sharon L", "last_name": "Kardia", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 11840, "first_name": "Jinkook", "last_name": "Lee", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) is the first and only nationally representative and publicly available dataset on late-life cognition and dementia in India. It administers the Harmonized Cognitive Assessment Protocol (HCAP) that is designed to be harmonized with ongoing longitudinal studies of aging around the world, including the Health and Retirement Study (HRS) in the United States, and prior studies in India. This rich set of cognitive phenotypes and a variety of other health and social environment phenotypes, as well as genotype data from whole genome sequencing, give us a unique opportunity to identify the mutational spectrum underlying risk of dementia and AD in a representative sample of India. In this application, we aim to monitor and investigate the impacts of Coronavirus Disease 2019 (COVID-19) on the LASI-DAD households through phone surveys. The COVID-19 pandemic will fundamentally alter the lives of individuals across the world, and India is not an exception. To gain insight into the health and economic impacts of the pandemic, we propose to track the LASI-DAD households and conduct quarterly phone interviews for 1-year. Through continuous monitoring, we will assess how individuals’ knowledge, attitudes, and behaviors related to the disease change over time, as well as the health and economic impacts of the pandemic. The collected data will be linked to the follow-up Wave 2 LASI-DAD for the estimation of their impacts on cognitive changes and dementia incidence.", "keywords": [ "Adopted", "Adult", "Age", "Aging", "Attitude", "Behavioral", "COVID-19", "COVID-19 pandemic", "Characteristics", "Cognition", "Cognitive", "Data", "Data Set", "Dementia", "Diagnosis", "Diagnostic", "Disease", "Economic Conditions", "Economics", "Elderly", "Employment", "Environment", "Female", "Gender", "General Population", "Genomics", "Genotype", "Goals", "Government", "Health", "Health Knowledge Attitudes Practice", "Health and Retirement Study", "Household", "Impaired cognition", "Incidence", "Income", "India", "Individual", "Institutional Policy", "Interview", "Knowledge", "Life Cycle Stages", "Link", "Longitudinal Studies", "Measures", "Monitor", "Mutation", "Patient Self-Report", "Perception", "Personal Satisfaction", "Phenotype", "Population", "Protocols documentation", "Reaction", "Respondent", "Sampling", "Shock", "Social Environment", "Socioeconomic Status", "Source", "Structure", "Surveys", "Symptoms", "Telephone", "Time", "United States", "Vulnerable Populations", "Well in self", "Work", "avoidance behavior", "cognitive change", "cognitive testing", "dementia risk", "design", "economic impact", "experience", "follow-up", "food security", "gender difference", "gender disparity", "genome sequencing", "health economics", "health seeking behavior", "health service use", "insight", "male", "pandemic disease", "social", "welfare", "whole genome" ], "approved": true } }, { "type": "Grant", "id": "7349", "attributes": { "award_id": "3R01AA026575-02S1", "title": "Preventing Alcohol Misuse among Young Adult Veterans through Brief Online Intervention", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 7792, "first_name": "TATIANA NIKOLAYEVNA", "last_name": "Balachova", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-04-01", "end_date": "2023-03-31", "award_amount": 165000, "principal_investigator": { "id": 20520, "first_name": "Eric R.", "last_name": "Pedersen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This application is being submitted in response to NOT-OID-20-097, Availability of Administrative Supplements and Urgent Competitive Revisions for Research on the 2019 Novel Coronavirus and the Behavioral and Social Sciences. We are requesting an administrative supplement (PA-18-591) to expand Aim 1 of the parent NIAAA project (online survey of 1,548 veterans outside of treatment settings) by adding additional measurement waves to track changes in outcomes due to the COVID-19 pandemic. The primary objective of this proposed mixed-methods research study is to leverage our existing sample of veterans in the community to examine changes in substance use, mental health, and social and economic health. We propose to survey and interview participants for 18 months after their initial survey, with three follow-up surveys and two sets of qualitative interviews to assess behavioral, social, and economic health to learn more about how the pandemic has affected veterans outside of VA settings. Findings from this study can answer essential questions to better serve veterans, such as how COVID-19 has influenced substance use, how veterans screening positive for mental health disorders have managed during the pandemic, and how changes in social and economic health, such as changes in relationships, job loss, loneliness, and perceived stress, have influenced changes in substance use and mental health symptoms over time.", "keywords": [ "2019-nCoV", "Administrative Supplement", "Affect", "Afghanistan", "Alcohol or Other Drugs use", "Alcohols", "Anxiety", "Attention", "Behavior", "Behavioral", "COVID-19", "COVID-19 pandemic", "Caring", "Communities", "Conflict (Psychology)", "Data", "Disease Outbreaks", "Economics", "Ethnic Origin", "Funding", "Gender", "Glean", "Health", "Health Services", "Healthcare", "Healthcare Systems", "Heterogeneity", "High Prevalence", "Home environment", "Income", "Intervention", "Interview", "Iraq", "Learning", "Loneliness", "Measurement", "Mental Depression", "Mental Health", "Mental disorders", "National Institute on Alcohol Abuse and Alcoholism", "Occupations", "Outcome", "Parents", "Participant", "Policies", "Population", "Post-Traumatic Stress Disorders", "Race", "Reaction", "Recommendation", "Research", "Research Methodology", "Sampling", "Social isolation", "Stress", "Surveys", "Symptoms", "Time", "United States", "United States National Institutes of Health", "Veterans", "Work", "alcohol misuse prevention", "alcohol screening", "alcohol use disorder", "behavioral health", "behavioral/social science", "dual diagnosis", "follow-up", "health economics", "interest", "outreach", "pandemic disease", "perceived stress", "post-traumatic symptoms", "recruit", "research study", "response", "screening", "social", "social media", "young adult" ], "approved": true } } ], "meta": { "pagination": { "page": 1392, "pages": 1419, "count": 14184 } } }