Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1383&sort=-funder_divisions
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-funder_divisions", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1397&sort=-funder_divisions", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1384&sort=-funder_divisions", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1382&sort=-funder_divisions" }, "data": [ { "type": "Grant", "id": "4102", "attributes": { "award_id": "NNX16AK48G", "title": "ASTEROID 2008 TC3 WAS TRACKED AND STUDIED IN SPACE FOR ~19 HOURS BEFORE IT IMPACTED EARTH'S ATMOSPHERE AND SHATTERED OVER NORTHERN SUDAN ON OCTOBER 7, 2008.WE WILL CONDUCT PETROLOGIC STUDIES, OXYGEN ISOTOPE ANALYSES, AR-AR DATING, AND SPECTROSCOPIC MEASUR", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2016-05-23", "end_date": "2017-05-22", "award_amount": 0, "principal_investigator": { "id": 13774, "first_name": "CYRENA", "last_name": "GOODRICH", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "ASTEROID 2008 TC3 WAS TRACKED AND STUDIED IN SPACE FOR ~19 HOURS BEFORE IT IMPACTED EARTH'S ATMOSPHERE AND SHATTERED OVER NORTHERN SUDAN ON OCTOBER 7, 2008.WE WILL CONDUCT PETROLOGIC STUDIES, OXYGEN ISOTOPE ANALYSES, AR-AR DATING, AND SPECTROSCOPIC MEASUR", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4696", "attributes": { "award_id": "NNX15AB58G", "title": "THE PECORA 19 SYMPOSIUM IN CONJUNCTION WITH THE JOINT SYMPOSIUM OF ISPRS TECHNICAL COMMISSION I AND IAG COMMISSION 4 MULTI- DAY EVENT WILL INCLUDE TECHNICAL PROGRAMS, PLENARY SESSIONS WITH KEYNOTE AND INVITED PAPERS, AND PARALLEL SESSIONS WITH ORAL AND PO", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2014-10-29", "end_date": "2015-04-28", "award_amount": 0, "principal_investigator": { "id": 16283, "first_name": "MICHAEL", "last_name": "HAUCK", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "THE PECORA 19 SYMPOSIUM IN CONJUNCTION WITH THE JOINT SYMPOSIUM OF ISPRS TECHNICAL COMMISSION I AND IAG COMMISSION 4 MULTI- DAY EVENT WILL INCLUDE TECHNICAL PROGRAMS, PLENARY SESSIONS WITH KEYNOTE AND INVITED PAPERS, AND PARALLEL SESSIONS WITH ORAL AND PO", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4728", "attributes": { "award_id": "NNX13AG97G", "title": "DROUGHT ACCOUNTS FOR WIDE SPREAD AGRICULTURAL FAILURE, SIGNIFICANT LOSS OF LIFE THROUGH FAMINE, AND DECLINES IN NATIONAL GDP FOR MANY COUNTRIES, WITH NEARLY 1.9 BILLION PEOPLE HAVING BEEN AFFECTED BY DROUGHT IN THE 20TH C. ACCURATE AND HIGH-RESOLUTION REA", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2013-02-11", "end_date": "2017-02-10", "award_amount": 0, "principal_investigator": { "id": 16385, "first_name": "ERIC", "last_name": "WOOD", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "DROUGHT ACCOUNTS FOR WIDE SPREAD AGRICULTURAL FAILURE, SIGNIFICANT LOSS OF LIFE THROUGH FAMINE, AND DECLINES IN NATIONAL GDP FOR MANY COUNTRIES, WITH NEARLY 1.9 BILLION PEOPLE HAVING BEEN AFFECTED BY DROUGHT IN THE 20TH C. ACCURATE AND HIGH-RESOLUTION REA", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4877", "attributes": { "award_id": "NNX11AG68G", "title": "The U.S. Antarctic Meteorite Program has been one of the most successful endeavors in the history of meteoritics and planetary science. Through the 2009-2010 field season, -19,700 meteorites have been recovered. These meteorites have produced fundamental", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2011-01-03", "end_date": "2017-06-30", "award_amount": 0, "principal_investigator": { "id": 16929, "first_name": "CATHERINE", "last_name": "CORRIGAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "The U.S. Antarctic Meteorite Program has been one of the most successful endeavors in the history of meteoritics and planetary science. Through the 2009-2010 field season, -19,700 meteorites have been recovered. These meteorites have produced fundamental", "keywords": [], "approved": true } }, { "type": "Grant", "id": "5006", "attributes": { "award_id": "NNX10AK05G", "title": "We request support from NASA for the overlapping open science meetings/conferences of the Global Land Project (GLP) and the Urbanization and Global Environment Change (UGEC) project to be held October 15-19, 20 I 0, on the campus of Arizona State Universi", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2010-03-04", "end_date": "2012-02-17", "award_amount": 0, "principal_investigator": { "id": 17954, "first_name": "BILLIE", "last_name": "TURNER", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "We request support from NASA for the overlapping open science meetings/conferences of the Global Land Project (GLP) and the Urbanization and Global Environment Change (UGEC) project to be held October 15-19, 20 I 0, on the campus of Arizona State Universi", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4446", "attributes": { "award_id": "NNX15AL42G", "title": "THE OBJECTIVES OF OUR PROPOSED WORK ARE, I. TO DERIVE SPATIAL AND TEMPORAL VARIATIONS OF TITAN''S SURFACE TEMPERATURE BY ANALYSIS OF THE MOON''S OUTGOING RADIANCE AROUND 19 M (530 CM 1); (II) TO COMPARE THE RESULTS TO PREDICTIONS FROM AN ATMOSPHERIC GENE", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2015-05-26", "end_date": "2017-05-25", "award_amount": 0, "principal_investigator": { "id": 15205, "first_name": "VALERIA", "last_name": "COTTINI", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "THE OBJECTIVES OF OUR PROPOSED WORK ARE, I. TO DERIVE SPATIAL AND TEMPORAL VARIATIONS OF TITAN''S SURFACE TEMPERATURE BY ANALYSIS OF THE MOON''S OUTGOING RADIANCE AROUND 19 M (530 CM 1); (II) TO COMPARE THE RESULTS TO PREDICTIONS FROM AN ATMOSPHERIC GENE", "keywords": [], "approved": true } }, { "type": "Grant", "id": "11333", "attributes": { "award_id": "1I01HX003581-01A2", "title": "Pandemic-Related Disruptions in care for Veterans on Insulin Pumps (PD-VIP): A Mixed Methods Analysis", "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": 27387, "first_name": "Jamie", "last_name": "Estock", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1477, "ror": "https://ror.org/05eq41471", "name": "Veterans Health Administration", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true }, "abstract": "Background: Prior to the pandemic, the approximately 10,000 Veterans on insulin pumps (VIPs) were excluded from VA telehealth programs due to the complexity of their care and their risk of adverse events (AEs). The lack of enrollment of VIPs in VA telehealth programs resulted in a gap in knowledge of best practices for remote insulin pump management, making pandemic-related disruptions in care especially difficult and riskier for these Veterans. The urgency to switch all Veterans to telehealth for non-emergent care during the pandemic resulted in the need for VIPs and providers to adapt to new care processes and quickly “piece together” data-sharing technologies to overcome barriers and maintain safe and effective care. The objective of this study is to address the gap in knowledge of best practices for remote insulin pump management to mitigate adverse effects the ongoing pandemic has on high-risk VIPs. The long-term goal of this research is to establish an evidence-based telehealth program for safe and effective remote insulin pump management to improve access to remote care for VIPs and meet the growing demand for insulin pump therapy. Significance: This study will inform the advancement of telehealth processes and tools for remote insulin pump management that will: (1) benefit vulnerable Veterans living in rural communities and other Veterans who face access challenges, (2) expand care options for Veterans with diabetes who may be candidates for insulin pump therapy but are unable to access VA specialty care, and (3) enhance VIPs ability to connect with their care team for critical real-time troubleshooting of unexpected device failures and prevention of AEs. Expanding Veteran access to remote insulin pump management assures continued quality care and connection for VIPs and supports VA's clinical and legislative goals of improving Veteran access to care. Specific Aims: 1. Characterize the pandemic's impact on VIP outcomes, including process of care and clinical outcomes. Using a longitudinal observational design, we will examine VIP process of care and clinical outcomes over a 3-year period beginning 1.5 years prior to onset of the pandemic. We will use mixed effects and Cox regression models to compare outcomes before and during the pandemic while accounting for practice, provider, and patient-level covariates that are likely to influence the outcomes of interest. 2. Examine VIPs' and providers' experiences and satisfaction with insulin pump management before and during the COVID-19 pandemic and identify barriers to and facilitators of safe and effective remote care. We will conduct structured interviews with a VIPs and providers and apply rapid qualitative analysis to examine experiences and satisfaction with insulin pump management before and during the COVID-19 pandemic and identify barriers to and facilitators of safe and effective remote care. 3. Develop recommendations to advance telehealth processes and tools for safe and effective remote insulin pump management. We will integrate our findings from Aims 1 and 2 using joint displays and review them with a VA Expert Advisory Panel and VIP representatives to generate recommendations for immediate improvement to remote insulin pump management and for future research. Methodology: We selected a mixed-methods design to expand the breadth of our inquiry by obtaining an account of pandemic-related outcomes through our quantitative analysis and a sense of the process of transitioning VIPs to telehealth through our qualitative analysis. We will use our integrated findings to generate recommendations to improve how VA delivers remote care to VIPs moving forward. Next Steps/Implementation: Our partners at the VA National Endocrinology/Diabetes Program Office, VA Office of Rural Health, and VA Office of Connected Care will provide guidance and support throughout our study and facilitate the rapid dissemination of our findings across VA.", "keywords": [ "Accounting", "Address", "Adverse effects", "Adverse event", "Appointment", "COVID-19 pandemic", "Caring", "Clinic", "Clinical", "Data", "Devices", "Diabetes Mellitus", "Education", "Endocrinology", "Enrollment", "Equipment Malfunction", "Exclusion", "Glycosylated hemoglobin A", "Goals", "Health Services Accessibility", "Health care facility", "Improve Access", "Injury", "Insulin Infusion Systems", "Interview", "Joints", "Knowledge", "Medical Device", "Methodology", "Methods", "Modeling", "Outcome", "Patients", "Prevention", "Process", "Provider", "Quality of Care", "Recommendation", "Recovery", "Reporting", "Research", "Research Priority", "Risk", "Rural Community", "Rural Health", "Sampling", "Service delivery model", "Specific qualifier value", "Structure", "Technology", "Time", "United States Food and Drug Administration", "Veterans", "adverse event risk", "care delivery", "clinical development", "connected care", "design", "evidence base", "experience", "high risk", "improved", "interest", "medical complication", "medical specialties", "operation", "pandemic disease", "pandemic impact", "pandemic response", "post-pandemic", "programs", "remote delivery", "remote health care", "research and development", "satisfaction", "telehealth", "tool", "virtual healthcare" ], "approved": true } }, { "type": "Grant", "id": "11335", "attributes": { "award_id": "1I01HX003577-01A2", "title": "Examining linkages between disrupted care and chronic disease outcomes during the COVID-19 pandemic: a VAMC level spatio-temporal analysis", "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": 23764, "first_name": "KELLY J", "last_name": "HUNT", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1179, "ror": "https://ror.org/012jban78", "name": "Medical University of South Carolina", "address": "", "city": "", "state": "SC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 26661, "first_name": "Brian", "last_name": "Neelon", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1782, "ror": "", "name": "RALPH H JOHNSON VA MEDICAL CENTER", "address": "", "city": "", "state": "SC", "zip": "", "country": "United States", "approved": true }, "abstract": "Background: The global pandemic brought on by SARS-CoV-2 has profoundly impacted health and care for veterans, who are generally older, sicker and more economically vulnerable than the overall U.S. population. Veterans are likely to face lasting risks related to care disruptions. Understanding the long-term impact of these disruptions and varied responses across VA Medical Centers (VAMC) is critical to understanding (1) primary care needs moving forward, (2) identifying high risk patients for targeted interventions, and (3) reducing disparities exacerbated by care disruptions. Significance: Diabetes and hypertension are chronic conditions requiring substantial provider and patient care to manage and result in high healthcare cost. Roughly, a quarter of all veterans receiving care at the VA have diabetes and well over a third have hypertension. Diabetes and hypertension are associated with high cardiovascular risk and lead to serious complications, including stroke, heart disease, kidney failure, amputation and death. Racial, socioeconomic and geographic disparities in disease prevalence and progression are well documented; hence, it is critical that we understand the impact of the pandemic with a particular focus on “lessons learned” and health disparities that have widened. Specific Aims: Our aims are (1) To determine the long-term impact of disrupted care on chronic disease outcomes across the nation at the patient and VAMC level; (2) to identify veterans at high cardiovascular risk as a result of disrupted care and determine the extent to which disparities with respect to race-ethnic group, rural-urban residence and social vulnerability have widened during the pandemic; and (3) with input from our advisory panel, create a Power BI dashboard of cardiovascular monitoring and risk to disseminate our results. Methodology: We will create two retrospective cohorts of Veterans receiving primary care from 2017 through 2022: a diabetes and a hypertension cohort. Social vulnerability measures will be assigned at the census-tract level based on a veterans’ residence. Our models are designed to investigate associations between individual-, census tract- and VAMC- level factors, health care delivery metrics, and health outcomes using complex GIS linkages and advanced spatio-temporal statistical methods. Delivery of care metrics include the extent to which cardiovascular risk factors are monitored and their levels (when monitored) early in the pandemic. Outcomes include prevalence of atherosclerotic cardiovascular disease (ASCVD), CVD risk levels, hospitalization, and mortality. Aspects of our work that set it apart from ongoing projects are (1) our ability to include complete data on inpatient hospital visits and emergency department visits when analyses are limited to South Carolina, (2) the advanced statistical modeling that enables us to account for multiple factors at multiple levels (i.e., patient, census tract, VAMC); and (3) the spatio-temporal aspects of the proposal which are critical given the spatio- temporal nature of the pandemic Next Steps/Implementation: We plan to create a dashboard in Power BI, a VA supported business intelligence tool, that allows users to display data in visual format allowing data to inform strategic decisions. Our dashboard will provide individualized information for each VAMC illustrating adjusted quarterly levels from 2017 through 2022 for (1) disrupted care metrics (i.e., CVD risk monitoring, primary care visits by mode), (2) levels of ASCVD, (3) ACC ASCVD risk levels (in those without ASCVD); and (4) mortality rates. Our use of area-level data and our focus on the VAMC level analyses will inform policy-level decision making during and following the pandemic. Lessons learned on the relationship between changes in care delivery, VAMC-level adaptability and chronic disease outcomes will inform post-pandemic care throughout the VA.", "keywords": [ "2019-nCoV", "Accounting", "Address", "American", "Amputation", "Area", "Atherosclerosis", "Black race", "Businesses", "COVID-19 pandemic", "Cardiology", "Cardiovascular system", "Caring", "Censuses", "Cessation of life", "Chronic", "Chronic Disease", "Clinic", "Communities", "Complex", "Data", "Data Display", "Decision Making", "Diabetes Mellitus", "Disease", "Disease Outcome", "Drug Prescriptions", "Economics", "Emergency department visit", "Ethnic Population", "Evaluation", "Face", "Future", "Geographic Information Systems", "Health", "Health Care Costs", "Healthcare", "Heart Diseases", "Hispanic", "Hospitalization", "Hospitals", "Hypertension", "Individual", "Inpatients", "Intelligence", "Interruption", "Intervention", "Kidney Failure", "Knowledge", "Leadership", "Learning", "Lower Extremity", "Measures", "Medical center", "Methodology", "Modeling", "Monitor", "Nature", "Not Hispanic or Latino", "Outcome", "Patient Care", "Patients", "Persons", "Pharmaceutical Preparations", "Phase", "Policies", "Population", "Positioning Attribute", "Prevalence", "Primary Care", "Provider", "Race", "Recording of previous events", "Research", "Retrospective cohort", "Risk", "Risk Factors", "Rural", "Social Conditions", "Social Distance", "Social Work", "South Carolina", "Statistical Methods", "Statistical Models", "Stroke", "Suspensions", "System", "Telephone", "Testing", "Transportation", "Veterans", "Visit", "Visual", "Workplace", "adverse outcome", "cardiovascular disorder risk", "cardiovascular risk factor", "care delivery", "cohort", "college", "dashboard", "disparity reduction", "follow-up", "future pandemic", "geographic disparity", "health care delivery", "health care service", "health disparity", "high risk", "improved", "individual patient", "insight", "medical appointment", "model design", "mortality", "operation", "pandemic disease", "pandemic impact", "post-pandemic", "pre-pandemic", "primary care visit", "racial population", "residence", "response", "social determinants", "social vulnerability", "socioeconomic disparity", "spatiotemporal", "statistics", "tool", "trend", "urban residence" ], "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": "11365", "attributes": { "award_id": "1U01FD007886-01", "title": "Mitigating the Spread of Misinformation and Disinformation about COVID-19 Prevention and Treatment Initiatives among Hispanics", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [ { "id": 23766, "first_name": "Christine", "last_name": "Lee", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-05-10", "end_date": "2024-04-30", "award_amount": 500000, "principal_investigator": { "id": 27421, "first_name": "Rigoberto I", "last_name": "Delgado", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1306, "ror": "https://ror.org/04dyzkj40", "name": "Texas Woman's University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "Considerable evidence exists on the role misinformation and disinformation has played on COVID-19 vaccination hesitancy and refusal at the general population level. There is less research on how misinformation and disinformation on social media affects COVID-19 perceptions by different ethnic groups, particularly Hispanics. This group has been the most affected by COVID-19 in the US, and includes a community where health disparities and inequitable gaps in social determinants of health prevail. Since Hispanics rely more on social media to obtain information on COVID-19 than any other ethnic group, it is imperative to expand research on mitigating the effect of misinformation and disinformation through these communication channels.The general objective of this proposal is to expand on earlier studies completed by the PI and co-investigators on appropriate, culturally sensitive, strategies to disseminate accurate information on COVID-19 prevention and treatments. We will pursue the overall objective through these specific aims: (1) develop a social network analysis model to estimate degree of COVID-19 misinformation and disinformation consumed by the Hispanic community; (2) conduct focus group sessions with representative Hispanic community members; and (3) complete an economic impact analysis of proposed informational strategies for Hispanics. The study will take place in El Paso, Texas, and introduces several key innovations. First, development of a social network model to evaluate social media data in both English and Spanish, and considering social media platforms in the US and Mexico. We believe that Mexican social media traffic influences Hispanic populations in the US. Second, development of a longitudinal misinformation/disinformation index, which will allow estimating degrees of misinformation and disinformation impact over time and between ethnic groups. Third, implement a combination of focus groups across different Hispanic demographic groups which will: a) complement findings from the social network analysis model; b) obtain in-depth data on relevant social media channels; c) estimate changes on risk perception of COVID-19 emergencies; d) define risk attitudes post-vaccine; e) provide a scale on the degree of COVID-19 infection and prevention literacy; and f) forecast potential health attitude and behavior changes. Specific interest will be on including sessions targeting Hispanic women, elderly, and persons with chronic diseases, disabilities, and substance use disorders. Lastly, an economic impact analysis will provide program evaluation estimates based on potential intervention healthcare cost savings, and quality of life changes. This proposal provides innovative quantitative approaches to measure the effect of COVID-19 misinformation and disinformation among Hispanics, and to help define appropriate, culturally sensitive, strategies to eliminate health disparities in this community. Our research team includes bilingual and bi-cultural specialists with profound knowledge of the Hispanic population in El Paso, and other similar communities in the country. This expertise will allow us to propose research models transferable to different regions and groups in the US, and other countries.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 1383, "pages": 1397, "count": 13961 } } }