Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1385&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=1405&sort=-funder_divisions", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1386&sort=-funder_divisions", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1384&sort=-funder_divisions" }, "data": [ { "type": "Grant", "id": "9476", "attributes": { "award_id": "6U48DP006391-02M003", "title": "Connecting Behavioral Science to the COVID-19 Vaccine Demand (CBS-CVD) Network", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2019-09-30", "end_date": "2024-09-29", "award_amount": 500000, "principal_investigator": { "id": 25189, "first_name": "GERI A", "last_name": "DINO", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1093, "ror": "https://ror.org/011vxgd24", "name": "West Virginia University", "address": "", "city": "", "state": "WV", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 25190, "first_name": "Michael J", "last_name": "Mann", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1093, "ror": "https://ror.org/011vxgd24", "name": "West Virginia University", "address": "", "city": "", "state": "WV", "zip": "", "country": "United States", "approved": true }, "abstract": null, "keywords": [], "approved": true } }, { "type": "Grant", "id": "9480", "attributes": { "award_id": "6U48DP006393-02M004", "title": "Connecting Behavioral Science to COVID-19 Vaccine Demand (CBS-CVD) Network", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2019-09-30", "end_date": "2024-09-29", "award_amount": 500000, "principal_investigator": { "id": 25192, "first_name": "MICHAEL PAUL", "last_name": "ERIKSEN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 964, "ror": "https://ror.org/03qt6ba18", "name": "Georgia State University", "address": "", "city": "", "state": "GA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 964, "ror": "https://ror.org/03qt6ba18", "name": "Georgia State University", "address": "", "city": "", "state": "GA", "zip": "", "country": "United States", "approved": true }, "abstract": null, "keywords": [], "approved": true } }, { "type": "Grant", "id": "9484", "attributes": { "award_id": "6U48DP006376-02M001", "title": "Connecting Behavioral Science to COVID-19 Vaccine Demand (CBS-CVD) Network", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2019-09-30", "end_date": "2024-09-29", "award_amount": 499996, "principal_investigator": { "id": 25196, "first_name": "STEVEN L", "last_name": "GORTMAKER", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 961, "ror": "", "name": "HARVARD SCHOOL OF PUBLIC HEALTH", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 961, "ror": "", "name": "HARVARD SCHOOL OF PUBLIC HEALTH", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": null, "keywords": [], "approved": true } }, { "type": "Grant", "id": "9493", "attributes": { "award_id": "6U48DP006381-03M001", "title": "UMass Worcester Prevention Research Center - COVID 19 Supplement", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2019-09-30", "end_date": "2024-09-29", "award_amount": 310000, "principal_investigator": { "id": 25202, "first_name": "Stephenie C.", "last_name": "Lemon", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 790, "ror": "", "name": "UNIV OF MASSACHUSETTS MED SCH WORCESTER", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 25203, "first_name": "MILAGROS C", "last_name": "ROSAL", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 790, "ror": "", "name": "UNIV OF MASSACHUSETTS MED SCH WORCESTER", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": null, "keywords": [], "approved": true } }, { "type": "Grant", "id": "9498", "attributes": { "award_id": "6U48DP006384-02M001", "title": "Connecting Behavioral Science to COVID-19 Vaccine Demand (CBS-CVD) Network", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2019-09-30", "end_date": "2024-09-29", "award_amount": 500000, "principal_investigator": { "id": 12477, "first_name": "Tamar", "last_name": "Mendelson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 344, "ror": "https://ror.org/00za53h95", "name": "Johns Hopkins University", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 344, "ror": "https://ror.org/00za53h95", "name": "Johns Hopkins University", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": null, "keywords": [], "approved": true } }, { "type": "Grant", "id": "9507", "attributes": { "award_id": "6U48DP006380-02M001", "title": "Connecting Behavioral Science to COVID-19 Vaccine Demand (CBS-CVD) Network", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2019-09-30", "end_date": "2024-09-29", "award_amount": 499989, "principal_investigator": { "id": 25214, "first_name": "Rafael", "last_name": "Perez-Escamilla", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 452, "ror": "https://ror.org/03v76x132", "name": "Yale University", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 452, "ror": "https://ror.org/03v76x132", "name": "Yale University", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true }, "abstract": null, "keywords": [], "approved": true } }, { "type": "Grant", "id": "9508", "attributes": { "award_id": "6U48DP006392-02M002", "title": "DP19-001, Policy, Practice and Prevention Research Center (P3RC) at the University of Illinois at Chicago (UIC) COVID-19 Supplement", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2019-09-30", "end_date": "2024-09-29", "award_amount": 500000, "principal_investigator": { "id": 25215, "first_name": "Lisa", "last_name": "Powell", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 163, "ror": "https://ror.org/02mpq6x41", "name": "University of Illinois at Chicago", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 163, "ror": "https://ror.org/02mpq6x41", "name": "University of Illinois at Chicago", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": null, "keywords": [], "approved": true } }, { "type": "Grant", "id": "9791", "attributes": { "award_id": "1K01HS028732-01A1", "title": "The effect of rurality and the COVID-19 pandemic on telemedicine and preventive healthcare use", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [ { "id": 23785, "first_name": "Linda", "last_name": "Franklin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-01", "end_date": "2027-07-31", "award_amount": 139639, "principal_investigator": { "id": 25648, "first_name": "Annie Elizabeth", "last_name": "Larson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1866, "ror": "", "name": "OCHIN, INC.", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true }, "abstract": "This resubmission is responding to Special Emphasis Notices NOT-HS-21-014 Health Services Research to Advance Health Equity and NOT-HS-22-002 Supporting Primary Care Research Career Development Awards. Residents in rural areas have higher rates of chronic diseases, infant mortality, disability, ambulatory care sensitive hospitalizations, and age-adjusted mortality than their urban counterparts. People living in rural areas, particularly those with fewer financial resources, also face many challenges accessing primary care. To date, little is known about the acute and intermediate effects of the COVID-19 pandemic on primary care utilization and quality of care among rural patients. The rapid and wide-scale adoption of telemedicine (TM) resulting from the COVID-19 pandemic provides a unique opportunity to understand if TM can improve utilization or quality of preventive healthcare for rural patients. Research is critically needed to examine whether differences in preventive care utilization among rural/urban patients is increasing and whether TM has improved or worsened disparities in preventive care use and quality of care. To meet this need we propose to address the following aims: (1) assess changes in frequency of preventive care visits and method of preventive care received (e.g., in-person, video, phone, patient portal) among rural and urban patients as a result of the COVID-19 pandemic; (2) examine differences in the use of TM and the type of primary care for which TM was used among rural and urban patients as a result of the COVID-19 pandemic; and (3) evaluate the effect of TM use on the quality and equity of care for chronic physical and mental health conditions among rural and urban patients as a result of the COVID-19 pandemic. We will use electronic health record (EHR) data from a network of 800+ community health centers in 20 states that are hosted and standardized by OCHIN. The EHR data are geocoded to patient addresses and linked to US Census and USDA Rural Urban Commuting Area data. These unique features will allow use of community- level data and geospatial analysis to identify communities with unmet needs and help identify contextual factors affecting use of primary care and outcomes for underserved, rural patients. Use of this data also represents a significant advancement in the study of rural populations because data on patients without insurance or lapses in insurance, of which rural patients are overrepresented, are missing from claims data often used in health services research. Rural populations are a priority for AHRQ, and Healthy People 2020 and the National Institute of Health identified rural health disparities and the lack of research on rural health as top priorities. Findings from this research will advance knowledge on the impact of the COVID-19 pandemic on low-income, rural populations and the effect of TM on use and quality of primary care. This innovative research project has the potential to improve healthcare access and quality of care for low-income, rural patients.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "9809", "attributes": { "award_id": "1R01HS029023-01", "title": "Prevention of Infections Through Appropriate Staffing (PITAS)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [ { "id": 24706, "first_name": "Melissa", "last_name": "Miller", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-01", "end_date": "2025-07-31", "award_amount": 500000, "principal_investigator": { "id": 25666, "first_name": "Monika", "last_name": "Pogorzelska-Maziarz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 25667, "first_name": "Pamela Blythe", "last_name": "de Cordova", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1548, "ror": "https://ror.org/00ysqcn41", "name": "Thomas Jefferson University", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true }, "abstract": "Project Summary: Prevention of Infections Through Appropriate Staffing (PITAS) Study Nationally, healthcare-associated infections (HAIs) are a costly patient safety concern in acute care hospitals. Infection Preventionists (IPs) and infection prevention and control (IPC) departments play an integral role in implementing evidence-based policies and procedures to prevent, mitigate and control HAIs. However, evidence describing and validating appropriate IP staffing is lacking. In addition, the COVID-19 pandemic has placed an enormous strain on the healthcare system. Emerging evidence suggests that the pandemic has resulted in increased rates of HAI in the acute care setting. However, the impact of the pandemic on IPC departments, including staffing and resources, and on routine IPC activities is unknown. We designed a unique and innovative study to determine how IPC departments have responded to the pandemic and the effectiveness of IPC infrastructure and processes in preventing HAIs. Guided by Donabedian’s framework of quality, we propose a 3-year mixed method study to: 1) Describe the evolution of IPC programs from 2011 to 2019 and determine the effectiveness of IPC staffing, infrastructure and processes in preventing HAI in acute care hospitals; 2) Quantify the impact of the COVID-19 pandemic on infection prevention and control departments, HAI rates and rates of antibiotic resistance in acute care hospitals; and 3) Develop an in-depth understanding of the impact of COVID-19 on infection preventionists, IPC resources and practices in acute care hospitals. In Aim 1, building upon our previous work, we will link hospital surveys to longitudinal National Healthcare Safety Network (NHSN) HAI and staffing data (2011-2019) to examine effectiveness of IPC staffing, infrastructure and processes on reducing HAI. In Aim 2, we will conduct a national survey of U.S. hospitals and link the survey to NHSN (2011-2022) and CMS data (2018-2022) to examine the impact of COVID-19. In Aim 3, we will conduct interviews with personnel involved in infection prevention and control in 20 hospitals. In our earlier federally-funded work, using a longitudinal sample of NHSN hospitals, we found that high clinician compliance with bundled care and positive organizational climate were associated with lower HAI rates in ICUs. We now propose to develop a more comprehensive examination of the impact of IPC staffing on HAI rates by expanding the analysis beyond the ICU and including other types of HAI. We will also evaluate the impact of the COVID-19 pandemic on IPC staffing and infrastructure, which is an area previously not studied. As Early Stage and New Investigators, we represent the epitome of interdisciplinary and intercollegiate research. We have designed an innovative study that builds upon our established relationship with internationally-renown researchers and NHSN hospitals, refines psychometrically sound instruments, and fills an important gap in the evidence. The results of this study will provide the evidence to strengthen IPC capacity and preparedness in acute care hospitals to more effectively respond to future infectious disease crisis.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "9819", "attributes": { "award_id": "1I01HX003428-01A1", "title": "Increasing Social Connection Through Crisis Caring Contacts: A Pragmatic Trial", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2022-08-01", "end_date": "2027-01-31", "award_amount": null, "principal_investigator": { "id": 25681, "first_name": "Alan", "last_name": "Teo", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1518, "ror": "https://ror.org/02v3txv81", "name": "Portland VA Medical Center", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true }, "abstract": "Background: This is a time of unprecedented loneliness and social isolation. Loneliness in particular is a powerful predictor of suicidal ideation, suicide attempts, functional decline, and death. Loneliness can and should be addressed by health systems. Due to risk for loneliness and negative health outcomes, a group of particular concern is older adults with medical or psychiatric comorbidity who have limited treatment engagement. Caring Contacts is an intervention that can address loneliness and poor treatment engagement. However, it has only been evaluated in a narrow population of psychiatric patients and not examined amongst patients impacted by the COVID-19 pandemic or other disasters. Significance: This project addresses VA’s top clinical priority (suicide prevention), an overarching priority of the Office of Research and Development (clinical trials), and multiple Health Service Research and Development priority areas, including social determinants of health, aging, access to care, mental health, suicide prevention, and population/whole health. The impact of this project is very high because it will advance scientific understanding of key gaps related to the mechanisms and outcomes of Caring Contacts, while also evaluating a timely, pragmatic, low-cost, and scalable intervention for Veterans affected by lack of social connection and treatment engagement. If effective, it will have applicability as a response to treatment disengagement and future disasters. Innovation and Impact: We have taken an empirically-grounded suicide prevention intervention and adapted it for Veterans with poor treatment engagement in VA outpatient care. This study is innovative in testing an intervention responsive to the COVID-19 pandemic and its aftermath, and unique in using a health services intervention strategy to target loneliness. The intervention’s peer support component is highly novel for its low resource demands and potential for scalability. Specific Aims: The overarching objective of this project is to evaluate “Crisis Caring Contacts” (CCC), an adaptation of Caring Contacts tailored to reduce loneliness in the context of the pandemic. To reach this objective we will achieve these aims: 1) Among older Veterans with poor treatment engagement, evaluate the effectiveness of Crisis Caring Contacts in decreasing loneliness, compared to enhanced usual care; 2) Evaluate the effect of Crisis Caring Contacts on other important outcomes, including treatment engagement and suicidal ideation; 3) Explore potential moderators of treatment response to Crisis Caring Contacts; and 4) Explore the effect of Crisis Caring Contacts on all-cause mortality and suicide attempts. Methodology: Our approach is to conduct a multisite, pragmatic randomized controlled trial of CCC. We will target Veterans age 60 and over with active psychiatric or medical diagnoses who have had limited treatment engagement in VA outpatient care. Those in the CCC treatment arm will be sent 10 postcards over 10 months by a Peer Support Specialist. Those in the enhanced usual care arm (control) will be sent non-personalized, general health resource information. We will examine self-report and administrative data outcomes over 24 months of follow-up. Next Steps/Implementation: We will collect pre-implementation data from our study sites and share this with our operational partner, the Office of Mental Health and Suicide Prevention (OMHSP). Crisis Caring Contacts is highly suited to future implementation due to its scalability, ease of creating an operational dashboard to identify Veterans who could receive the intervention, and ability to add study materials to an implementation toolkit for VA Caring Contacts interventions.", "keywords": [ "Acute", "Address", "Affect", "Age", "Aging", "Ambulatory Care", "Appointment", "Area", "COVID-19 impact", "COVID-19 pandemic", "COVID-19 pandemic effects", "Caring", "Cessation of life", "Clinical", "Clinical Trials", "Control Groups", "Data", "Diagnosis", "Disasters", "Elderly", "Feeling suicidal", "Funding", "Future", "Gender", "Grant", "Health", "Health Resources", "Health Services", "Health Services Accessibility", "Health Services Research", "Health system", "Healthcare", "Individual", "Intervention", "Loneliness", "Medical", "Mental Health", "Methodology", "Outcome", "Outpatients", "Overdose", "Patient Self-Report", "Patients", "Pharmaceutical Preparations", "Population", "Prevention strategy", "Primary Health Care", "Randomized Controlled Trials", "Resources", "Risk", "Scientific Advances and Accomplishments", "Site", "Social isolation", "Social support", "Socioeconomic Status", "Specialist", "Suicide", "Suicide attempt", "Suicide prevention", "Survival Analysis", "Testing", "Time", "Trust", "Veterans", "Visit", "Work", "acceptability and feasibility", "arm", "care outcomes", "coronavirus disease", "cost", "dashboard", "effectiveness evaluation", "evidence base", "experience", "follow-up", "functional decline", "future implementation", "innovation", "mental health care", "mortality", "novel", "older patient", "outreach", "pandemic disease", "patient population", "peer", "peer support", "pragmatic trial", "preventive intervention", "psychiatric comorbidity", "recruit", "research and development", "response", "social", "social health determinants", "sociodemographics", "suicide rate", "treatment arm", "treatment as usual", "treatment response", "usual care arm" ], "approved": true } } ], "meta": { "pagination": { "page": 1385, "pages": 1405, "count": 14046 } } }