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=1424&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": "7987", "attributes": { "award_id": "1R01HS028454-01A1", "title": "Essential Nurse Documentation: Studying EHR Burden during COVID-19 (ENDBurden)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [ { "id": 23886, "first_name": "Derrick", "last_name": "Wyatt", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-06-01", "end_date": "2026-03-31", "award_amount": 400000, "principal_investigator": { "id": 23887, "first_name": "Sarah Collins", "last_name": "Rossetti", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 781, "ror": "", "name": "COLUMBIA UNIVERSITY HEALTH SCIENCES", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 23888, "first_name": "Po-Yin", "last_name": "Yen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 781, "ror": "", "name": "COLUMBIA UNIVERSITY HEALTH SCIENCES", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "This mixed-methods informatics study employs a series of data science methods triangulating data from Interviews and EHR documentation, with the goal to identify essential documentation from the COVID-19 pandemic and reduce EHR burden. EHR burden for registered nurses has been demonstrated by increased documentation time, documentation amount, workload, and burnout and linkages to poor patient outcomes. Decreasing EHR burden is a national priority, yet, there is no clear evidence to differentiate which types of documentation are essential to support patient care. In recognizing the increased workload demands during the COVID-19 pandemic, New York issued orders that relaxed documentation requirements for clinicians, including nurses. Therefore, nurses’ documentation during the pandemic in New York reflects the information deemed most essential by nurses – providing a unique and rare natural experiment to study documentation burden. On the contrary, Missouri ranked as the 18th highest state for COVID cases overall, and had no similar state orders. To advance the science, we will learn about nurses’ documentation from a data science and informatics perspective, discover which documentation patterns (i.e., types, amount of data entry and viewing) are deemed essential by nurses, and examine documentation pattern changes overtime from before the pandemic through present day. We know that EHR burden exists, yet it is not understood which documentation patterns explain and influence the relationship between patient care activities and patient outcomes. We will use an EHR log-file time-based measure of patient care activities, operationalized as “total shift time” minus “time spent documenting patient care activities or viewing data”. We will target respiratory care management for acute and critical care patients and also include delirium care management for critical care patients - applicable outcomes for both hospitalized COVID-19 and non-COVID-19 patients. The specific aims are to: Aim 1: Examine changes in the temporal trends of data entry and data viewing patterns of nursing documentation (e.g., types, amount) from 2019 through present day, inclusive of the COVID-19 pandemic timeline. Aim 2: Investigate how nurses define and decide what is essential to document for patient care and the impact of all-inclusive documentation (i.e., documentation that meets both clinical and regulatory demands) on EHR burden . Aim 3: Examine changes in data entry and data viewing patterns of nursing documentation and the impact of these changes on patient care activities and patient outcomes, while controlling for confounding factors related to workload, and nurse, patient, team, and organizational characteristics.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "8005", "attributes": { "award_id": "1R01HS028085-01", "title": "Quality, Safety, Value: Impact of sudden shift to telehealth due to COVID-19 within Nurse-led care models located in Colorado rural and urban communities", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [ { "id": 22335, "first_name": "Celeste", "last_name": "Torio", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-01-01", "end_date": "2022-12-31", "award_amount": 491293, "principal_investigator": { "id": 22336, "first_name": "AMY J", "last_name": "BARTON", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 784, "ror": "https://ror.org/02hh7en24", "name": "University of Colorado Denver", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 784, "ror": "https://ror.org/02hh7en24", "name": "University of Colorado Denver", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "abstract": "Quality, Safety, Value: Impact of Sudden shift to Telehealth due to COVID-19 within Nurse-led care Models located in Colorado Rural and Urban Communities Project Summary COVID-19 has jeopardized the already precariously positioned US healthcare system, prompting a sudden shift in the delivery of primary and prenatal care, behavioral health, and public health services to the telehealth environment for optimized access to care for millions of vulnerable Americans in urban and rural communities. In Colorado, innovative nurse-led models of care are a vital component of healthcare delivery for the most ethnically, geographically, and economically vulnerable populations. This is possible through recognized structures of federally qualified health centers, certified nurse midwifery practices, and the Nurse-Family Partnership (NFP) home visitation program. The widespread implementation of telehealth is a change in healthcare delivery that requires systematic study to support within-system learning, rapid adaptation to improve access and health outcomes, and informed enhancements to ensure sustainability to endure future system challenges. While evidence supports positive patient outcomes for nurse-led telephonic and telehealth interventions for specific populations, our integrated and highly skilled team of nurse scientists aims to evaluate, for the first time, the impact of this urgent and immediate shift from in-person to virtual care for an expanded array of healthcare services. The long-term goal of leveraging this natural experiment is to evaluate telehealth to support vulnerable patients seeking nurse-led care within behavioral health, primary and prenatal care, and home visitation models in urban and rural communities across Colorado. Through statewide network collaboration, our central hypothesis is that the benefits of nurse-led care will withstand rapid telehealth implementation in Colorado in response to COVID-19. Using an observational, time series design shaped by COVID-19 to evaluate and rapidly disseminate within- and between-group telehealth innovations and challenges, we will inform the evolution of this emerging care model to support those with multiple chronic conditions, vulnerable populations, and to reduce disparities in care through a lens of intersectionality. Through Aim 1, we will evaluate the impact of sudden telehealth implementation on statewide healthcare utilization in nurse-led models of behavioral health, primary/prenatal care, and home visitation in Colorado among ethnically, geographically, and economically vulnerable populations. In Aim 2, we will further evaluate the consequences (intended/unintended) of sudden telehealth implementation on patient outcomes following COVID-19. Through Aim 3, we will characterize the patient and provider experience of sudden telehealth implementation in Colorado using a mixed method approach involving interviews and surveys. This study will leverage the RE-AIM model to assess reach, adoption, implementation and maintenance of telehealth with quarterly analysis and dissemination to participating institutions, allowing for adaptation to negative trends. Analysis of uniform and patient-level claims data, surveys and interviews will provide evidence to inform delivery of high quality, safe, accessible, equitable and affordable nurse-led telehealth, scalable for adoption in other regions of the US.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "8006", "attributes": { "award_id": "1I01BX005411-01", "title": "COVID-19: Understanding The Role of Corona Virus InducedDisruption Of Alveolar Type 2 Cell Function And SurfactantHomeostasis In The Pathogenesis Of COVID-19 AcuteRespiratory Distress Syndrome", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2021-01-01", "end_date": "2022-12-31", "award_amount": null, "principal_investigator": { "id": 22384, "first_name": "MICHAEL FRANCIS", "last_name": "BEERS", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1488, "ror": "https://ror.org/03j05zz84", "name": "Philadelphia VA Medical Center", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1488, "ror": "https://ror.org/03j05zz84", "name": "Philadelphia VA Medical Center", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true }, "abstract": "The Severe Acute Respiratory Syndrome (SARS)-associated coronavirus 2 (SCoV2) is the cause of COVID-19 syndrome which is marked by a refractory acute lung injury that results in dramatic hypoxic respiratory failure and high mortality. Despite the recurrent health and economic devastation produced by novel coronaviruses (nCoV) over the past 20 years including SCoV2 as well as its predecessors SCoV1, and MERS-CoV, there remains a significant unmet need both for a clearer understanding of virus-host cell interactions as well as identification of new therapeutic targets. To address these issues with the ultimate goal of improving the health and outcomes of veterans with COVID-19, we have assembled a team of internationally recognized scientists with expertise in coronavirus virology and in lung biology coupled with a strong foundation of our own prior work on surfactant biology, lung injury, and fibrotic repair funded, in part, by the VA Merit Review program. Utilizing this expertise, this proposal is directed at filling in large knowledge gaps that exist in the pathogenesis of nCoV induced respiratory failure. The motivation for this investigation has been fueled by the recent recognition that the alveolar type 2 (AT2) epithelial cell of the distal lung has emerged as an important portal of entry for SCoV- 2. The central hypothesis of this application is that AT2 cells infected with nCoV acquire defects in surfactant biosynthesis/metabolism, activate cellular stress pathways, and develop alterations in progenitor cell function all of which promote hypoxic respiratory failure, persistent lung inflammation and injury, and impact recovery through effects on epithelial repair capacity. To test this, we will leverage an established murine model of CoV infection (MHV-1) with a pulmonary phenotype combined with reductionist studies supported by ex vivo infection of primary human AT2 cells obtained from a robust human lung pipeline with an already in hand SARS-CoV-2 isolate. Our experimental approach will interrogate these preclinical models using tools and reagents available in our program, to map the effect of CoV infection on distal lung cell populations with a focus on identifying and translating molecular mechanisms linking the disrupted AT2 function with altered surfactant biology and proinflammatory/profibrotic cell cross talk in the alveoilar niche. In Specific Aim 1, we will first define temporal changes in distal lung epithelial endophenotypes focusing on the ontogeny of the disruption of AT2 homeostasis by viral infection using a well characterized mouse model of MHV-1 lung infection. Using both unbiased approaches such as transcriptomic profiling as well as classical cell biology and biochemistry this aim will investigate CoV induced changes in surfactant metabolism/biophysical activity, AT2 cell stress (i.e. ER stress, proteasome dysfunction, autophagy malfunction, changes in mitochondrial dynamics/ / bioenergetics) and AT2 progenitor cell function. In Specific Aim 2, armed with this “functional map” of the mouse CoV-lung and aberrant AT2 behaviors, we will translate the identified lead targets and mechanisms to human AT2 cells utilizing both primary AT2 cultures as well as precision cut lung slices (PCLS) infected with SARS-CoV-2. The research design involves the analysis of virus-dependent AT2 surfactant protein and lipid metabolism, interrogation of AT2 cell quality control pathways, and functional evaluation of AT2 progenitor function phenotypes in the SCoV-2 infected human epithelial cells. By understanding the path to epithelial injury / dysfunction from nCoV, the mechanisms and affected lung cell populations identified using these models will improve the understanding of sCOV2/COVID- 19 syndrome, promote identification of new target pathways, and can be cross-purposed to test emerging therapies for both the current and future nCoV pandemics.", "keywords": [ "2019-nCoV", "ACE2", "Acute Lung Injury", "Address", "Adult Respiratory Distress Syndrome", "Affect", "Alveolar", "Anabolism", "Apoptosis", "Autophagocytosis", "Behavior", "Berlin", "Big Data", "Biochemistry", "Bioenergetics", "Biology", "Biophysics", "COVID-19", "COVID-19 pandemic", "COVID-19 pathogenesis", "Caring", "Catalogs", "Cell Communication", "Cell Ontogeny", "Cell model", "Cell physiology", "Cells", "Cellular Stress", "Cellular biology", "Characteristics", "Cicatrix", "Clinical", "Coronavirus", "Coronavirus Infections", "Coupled", "Data", "Defect", "Development", "Disease", "Dissociation", "Distal", "Distress", "Epidemic", "Epithelial", "Epithelial Cells", "Evaluation", "Foundations", "Functional disorder", "Funding", "Future", "Genetic", "Goals", "Gold", "Growth", "Hand", "Health", "Homeostasis", "Human", "Hypoxemia", "Impairment", "In Vitro", "Infection", "Inflammatory", "Innate Immune Response", "International", "Investigation", "Knowledge", "Lead", "Link", "Lung", "Lung Capacity", "Lung Inflammation", "Lung diseases", "Lung infections", "Maintenance", "Maps", "Mediating", "Metabolism", "Middle East Respiratory Syndrome Coronavirus", "Mitochondria", "Modeling", "Molecular", "Molecular Target", "Morbidity - disease rate", "Motivation", "Mus", "Natural Immunity", "Organoids", "Outcome", "Pathogenesis", "Pathway interactions", "Peripheral", "Pharmacology", "Phenotype", "Physiological", "Population", "Positioning Attribute", "Pre-Clinical Model", "Primary Infection", "Program Reviews", "Proteins", "Pulmonary Surfactants", "Quality Control", "Radiology Specialty", "Reagent", "Recovery", "Recurrence", "Refractory", "Reporting", "Research Design", "Residual state", "Respiratory Failure", "Role", "SARS coronavirus", "Scientist", "Severities", "Signal Pathway", "Slice", "Survivors", "Syndrome", "System", "Techniques", "Technology", "Testing", "Therapeutic", "Time", "Translating", "Ubiquitin", "Veterans", "Viral", "Virus", "Virus Diseases", "Work", "alveolar epithelium", "arm", "base", "biological adaptation to stress", "cytokine", "effective therapy", "endophenotype", "endoplasmic reticulum stress", "epithelial injury", "epithelial repair", "experience", "health economics", "immunopathology", "improved", "in vivo", "induced pluripotent stem cell", "lipid metabolism", "lung injury", "lung repair", "mortality", "mouse model", "multicatalytic endopeptidase complex", "new therapeutic target", "novel", "novel coronavirus", "novel s" ], "approved": true } }, { "type": "Grant", "id": "8279", "attributes": { "award_id": "1U01DP006612-01", "title": "Component A [Core]: Massachusetts Pregnancy Risk Assessment Monitoring System (PRAMS)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2021-05-01", "end_date": "2026-04-30", "award_amount": 160020, "principal_investigator": { "id": 22627, "first_name": "Hafsatou", "last_name": "Diop", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1517, "ror": "", "name": "MASSACHUSETTS STATE DEPT OF PUB HEALTH", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1517, "ror": "", "name": "MASSACHUSETTS STATE DEPT OF PUB HEALTH", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "PI / PD: Diop, Hafsatou RFA-DP-21-001 Project Summary/Abstract The overall goal of the Massachusetts Pregnancy Risk Assessment Monitoring System (PRAMS) is to collect data to improve the health of mothers in the preconception, perinatal, or postpartum periods and the health of their infants. Massachusetts (MA) has implemented PRAMS since 2007 and oversamples women by race/ethnicity to allow women of color to have a greater opportunity to participate in the survey. PRAMS methodology uses a mixed mode survey (mail and telephone) to inquire about maternal attitudes, experiences and behaviors before, during and shortly after pregnancy. There are approximately 70,000 births annually in MA, of which 2,400 are sampled for inclusion in PRAMS. During the last three years for which we have weighted data, the overall weighted response rate was 59.9%, 61.9%, and 62.4%, for 2016, 2017, and 2018, respectively. MA PRAMS response rates have been consistently above the CDC minimum response rate threshold of 55% during 2016-2018. PRAMS will be used to inform the Title V priorities and performance measures, and support MA maternal and child health (MCH) priorities. We propose to use PRAMS to provide reliable data to inform MCH programs with limited or nonexistent data. For example, although MA has taken a number of steps to understand and respond to the opioid epidemic, data on prescription pain relievers and other opioids during pregnancy, particularly among women who have not been diagnosed or treated for substance use disorder were lacking, as they are not captured in administrative and program data. In addition, data on whether women received substance use disorder treatment from providers including medication-assisted treatment (MAT) during pregnancy were limited. We will use the PRAMS Opioid Survey and Opioid Call-Back Survey (OCBS) to obtain these data among new mothers. In addition, the OCBS will provide a unique opportunity to ask about access to substance misuse treatment, including MAT, rehabilitation services, and other programs such as peer-to-peer support systems, and to identify best practices to mitigate the risk of opioid misuse in the postpartum period and reduce maternal opioid misuse and overdose events. Similarly, in response to the current pandemic, MA is also working on implementing a COVID-19 survey to better understand the inequities we see in the spread and treatment of COVID-19.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "8284", "attributes": { "award_id": "1U01DP006592-01", "title": "Component A - Michigan Pregnancy Risk Assessment Monitoring System (8.11.20)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2021-05-01", "end_date": "2026-04-30", "award_amount": 160020, "principal_investigator": { "id": 22682, "first_name": "Chris", "last_name": "Fussman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1524, "ror": "", "name": "MICHIGAN STATE DEPARTMENT OF HEALTH AND HUMAN SERVICES", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1524, "ror": "", "name": "MICHIGAN STATE DEPARTMENT OF HEALTH AND HUMAN SERVICES", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true }, "abstract": "MI PRAMS COMPONENT A - PROJECT SUMMARY / ABSTRACT The Michigan Pregnancy Risk Assessment Monitoring (MI PRAMS) project is an ongoing, annual, population-based survey of Michigan mothers who had a pregnancy that ended with a live birth. The goals of MI PRAMS are to ask these mothers about their knowledge, attitudes, and health behaviors before, during, and after pregnancy. Special attention is devoted to social determinants of health and health disparities. The project aims are to conduct the survey using sound methodology, provide high quality population-level data to the survey stakeholders, and help improve the health of Michigan's mothers and babies. Mothers are selected for MI PRAMS in a stratified manner from all birth certificates filed during a calendar year and are contacted by mail and by telephone. MI PRAMS over-samples from mothers who had a low birth weight infant, from African American mothers, and from mothers in the Southeast region of the State that contains Detroit and other socioeconomically diverse areas. Our intent with this sampling strategy is to learn as much as possible from mothers who have already had a pregnancy that resulted in a poor outcome for the infant (e.g., low birth weight). We also have greater representation from mothers more likely to have negative complications during and after their pregnancy, and from those whose infants are more likely to have poor health outcomes. MI PRAMS data are used by many departments within the State for tracking trends over time, evaluating the effect of public health interventions, and for allocating resources and attention. The data will also be utilized by researchers who wish to understand how factors from pregnancy and infancy affect health throughout the lifespan. In addition to asking about long standing issues such as pregnancy intention, breastfeeding duration, safe sleep habits, and prenatal care, the next phase of MI PRAMS will cover emerging topics of public health interest. Mothers will be asked about: • How the coronavirus pandemic affected their household during pregnancy • Use of prescription pain relievers and cannabis before, during, and after pregnancy • The degree of support provided by their partner or spouse • Adverse experiences from her own childhood • Plans and intention to vaccinate her new baby • The quantity and quality of sleep she has at the time of the interview (3-6 postnatal months) The answers from these and other questions will help MI PRAMS to not only monitor the health of mothers and babies in the State, but to equip public health professionals with the knowledge to make positive changes in the health of future generations.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "8296", "attributes": { "award_id": "1U01DP006610-01", "title": "PRAMS", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2021-05-01", "end_date": "2026-04-30", "award_amount": 160020, "principal_investigator": { "id": 24098, "first_name": "Fern MARIE", "last_name": "Johnson-Clarke", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1696, "ror": "", "name": "DC DEPARTMENT OF HEALTH", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1696, "ror": "", "name": "DC DEPARTMENT OF HEALTH", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true }, "abstract": "PRAMS is a surveillance project of the Centers for Disease Control and Prevention (CDC) and state health departments. DC PRAMS is a population-based surveillance on selected maternal behaviors and experiences that occur prior to, during, and shortly after pregnancy, including emerging issues (e.g., COVID-19), among women with a recent birth. Mothers are selected at random from DC birth registration system. Expected outcomes are: 1) Timely, high quality data source that is representative of mothers who recently gave birth in DC that can be used to monitor prevalence of maternal behaviors and experiences to inform programs, research and system changes that influence maternal and infant health. 2) Data will be available to CDC and DC Health, and other partners for studies of surrounding maternal behaviors and experiences before, during, and shortly after pregnancy. 3) DC Health and CDC will use the PRAMS methodology to obtain data to inform the rapidly emerging issues related to maternal and child health that arise during the data collection cycle, including post-disaster or emergency surveillance, for example, COVID-19.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "8316", "attributes": { "award_id": "1I21RX003615-01A1", "title": "Exploring Barriers and Facilitators of Employment in Veterans with Opioid Use Disorders", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2021-05-01", "end_date": "2023-04-30", "award_amount": null, "principal_investigator": { "id": 24118, "first_name": "Mercy N", "last_name": "Mumba", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1699, "ror": "", "name": "TUSCALOOSA VETERANS AFFAIRS MEDICAL CTR", "address": "", "city": "", "state": "AL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1699, "ror": "", "name": "TUSCALOOSA VETERANS AFFAIRS MEDICAL CTR", "address": "", "city": "", "state": "AL", "zip": "", "country": "United States", "approved": true }, "abstract": "Significance: Living with an opioid use disorder (OUD) can make obtaining and sustaining employment a significant challenge. Adults who have a current OUD are significantly more likely to be unemployed and make less income compared to those with past OUD or those without lifetime OUD. For most individuals in treatment for an OUD, being employed is an important part of their recovery journey. Employment has several benefits, including reductions in preoccupation with symptoms, social isolation, risk of suicide, hopelessness, and economic instability, which often results in homelessness. However, with the advent of the COVID-19 pandemic, a significant number of Veterans have lost their jobs are currently seeking meaningful and competitive employment. Individual Placement and Support (IPS) is an evidenced-based supported employment intervention that is considered the gold standard of vocational rehabilitation. Only one small study has examined the effectiveness of IPS among individuals with OUD on methadone maintenance (n=45) and found that 50% of the IPS participants gained competitive employment compared to 5% of the waitlist control participants at 6 months (p<0.001). Prior to launching a well-warranted large-scale study of IPS for OUD, a better understanding of the barriers, facilitators, preferences, and employment accommodations in this unique patient population is needed to better tailor IPS delivery for Veterans recovering from OUD. Specific Aim: Examine the barriers and facilitators of sustained employment, including evaluation of employment challenges, occupational functioning, community integration, and quality of life and satisfaction among Veterans with OUD diagnosis. Methods and Procedures: This pilot study primarily utilizes a qualitative design, specifically phenomenology. Quantitative data will also be collected to better understand the patient population and will include (a) socio-demographic information such as age, level of education, employment history, income and source of income, housing and experiences with homelessness (b) history of substance use, (c) mental health- specifically depressive symptomology, (d) occupational functioning, and (e) quality of life related information. Utilizing phenomenology approach, qualitative interviews will be conducted with 50 Veterans, at least 6 of whom are or will be engaged in IPS services, 6 vocational rehabilitation specialists (includes 4 IPS specialists), 6 mental health or addiction recovery providers, and at least 6 employers/potential employers who may have or would be willing to employ persons with OUD. The participants must read and sign an IRB-approved informed consent prior to participating. To conduct the data analyses, the seven steps to procedural data analysis in phenomenological studies will be utilized. This approach examines participants associated meanings to the phenomenon under investigation and provides researchers the ability to identify the emerging themes. Primarily, an inductive thematic approach will be utilized as the primary method of data analysis. Conclusion: This SPiRE proposal addresses an area that lacks preliminary data, gathers new knowledge for an urgent need, informs the refinement of a tailored IPS intervention for OUD, allows an early career investigator to conduct a small study, allows a senior investigator to explore a new research area, leverages the investigators’ strengths and expertise, and advances the knowledge needed to promote successful recovery and reintegration into society for Veterans recovering from OUD, especially during and after the COVID-19 pandemic.", "keywords": [ "Address", "Adult", "Age", "Alabama", "Alcohols", "Area", "Attention", "COVID-19 pandemic", "Capital", "Cessation of life", "Client", "Communities", "Community Integration", "County", "Criminal Justice", "Data", "Data Analyses", "Deterioration", "Diagnosis", "Economic Burden", "Economic Recession", "Economics", "Educational Background", "Effectiveness", "Emotional", "Employment", "Employment Opportunities", "Employment Status", "Evaluation", "Feeling hopeless", "Geography", "Gold", "Health", "Health Care Costs", "Health Personnel", "Homelessness", "Hour", "Housing", "Income", "Individual", "Informed Consent", "Institutional Review Boards", "Intervention", "Interview", "Investigation", "Knowledge", "Left", "Measurable", "Medical", "Mental Depression", "Mental Health", "Methods", "Occupational", "Occupational Status", "Occupations", "Opioid", "Outcome", "Overdose", "Pain", "Participant", "Persons", "Pharmaceutical Preparations", "Pilot Projects", "Population", "Post-Traumatic Stress Disorders", "Poverty", "Predisposition", "Prevention", "Procedures", "Productivity", "Professional counselor", "Provider", "Public Health", "Quality of life", "Recommendation", "Recording of previous events", "Recovery", "Relapse", "Research", "Research Personnel", "Resources", "Services", "Social Well-Being", "Social isolation", "Societies", "Source", "Specialist", "Substance Use Disorder", "Suicide", "Supported Employment", "Symptoms", "Testing", "Unemployment", "Uninsured", "United States", "Veterans", "Vocational rehabilitation", "Waiting Lists", "Work", "addiction", "base", "career", "chronic painful condition", "community reintegration", "comorbidity", "cost", "depressive symptoms", "design", "disorder later incidence prevention", "evidence base", "experience", "experimental study", "health care availability", "health care service utilization", "improved", "methadone treatment", "middle age", "mortality", "opioid epidemic", "opioid overdose", "opioid use", "opioid use disorder", "pandemic disease", "patient oriented", "patient population", "phenomenological models", "preference", "prescription opioid", "professor", "programs", "rehabilitation service", "rural area", "satisfaction", "sociodemographics", "substance use", "substance use treatment", "suicidal risk", "treatment program" ], "approved": true } }, { "type": "Grant", "id": "8318", "attributes": { "award_id": "5U01DP006610-02", "title": "PRAMS", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2021-05-01", "end_date": "2026-04-30", "award_amount": 160020, "principal_investigator": { "id": 24120, "first_name": "Pamela", "last_name": "Oandasan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1696, "ror": "", "name": "DC DEPARTMENT OF HEALTH", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1696, "ror": "", "name": "DC DEPARTMENT OF HEALTH", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true }, "abstract": "PRAMS is a surveillance project of the Centers for Disease Control and Prevention (CDC) and state health departments. DC PRAMS is a population-based surveillance on selected maternal behaviors and experiences that occur prior to, during, and shortly after pregnancy, including emerging issues (e.g., COVID-19), among women with a recent birth. Mothers are selected at random from DC birth registration system. Expected outcomes are: 1) Timely, high quality data source that is representative of mothers who recently gave birth in DC that can be used to monitor prevalence of maternal behaviors and experiences to inform programs, research and system changes that influence maternal and infant health. 2) Data will be available to CDC and DC Health, and other partners for studies of surrounding maternal behaviors and experiences before, during, and shortly after pregnancy. 3) DC Health and CDC will use the PRAMS methodology to obtain data to inform the rapidly emerging issues related to maternal and child health that arise during the data collection cycle, including post-disaster or emergency surveillance, for example, COVID-19.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "8338", "attributes": { "award_id": "1U01DP006583-01", "title": "Georgia Pregnancy Risk Assessment Monitoring System (PRAMS) Project", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2021-05-01", "end_date": "2026-04-30", "award_amount": 160019, "principal_investigator": { "id": 24136, "first_name": "Fay", "last_name": "Stephens", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1498, "ror": "", "name": "GEORGIA STATE DEPARTMENTOF PUBLIC HEALTH", "address": "", "city": "", "state": "GA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1498, "ror": "", "name": "GEORGIA STATE DEPARTMENTOF PUBLIC HEALTH", "address": "", "city": "", "state": "GA", "zip": "", "country": "United States", "approved": true }, "abstract": "The Georgia Pregnancy Risk Assessment Monitoring System (PRAMS) Project is a statewide, ongoing population‐based survey that collects information on women with a recent live birth in Georgia. Georgia PRAMS initiated sampling with January 1993 births. PRAMS survey data complements Vital Records data by collecting information about mothers’ attitudes, behaviors, and experiences before, during, and shortly after pregnancy. Survey topics include preconception health, pregnancy intention, prenatal care, health insurance, oral health during pregnancy, substance use, breastfeeding, safe sleep behaviors and environment, intimate partner violence, maternal stressors, contraception use and methods, and supplemental topics as emergent public health issues arise (ex: Zika Virus, Coronavirus Disease 2019), among others. Each month, a stratified random sample of approximately 110 women is drawn from birth certificate records accessed through the State Office of Vital Records. The current stratification variable is preterm birth (gestational age greater than 20 and less than 37 weeks versus all other births). The stratification scheme can vary by year and is used to ensure adequate representation of key subgroups in the sample. Sampled PRAMS participants are surveyed two to six months after delivery of their infant first by mail and then by phone if a mail survey response is not received. Each mother’s survey is linked to her infant’s birth certificate. The goal of the Georgia PRAMS Project is to provide population-based data on maternal experiences and behaviors before, during, and after pregnancy and during early infancy which can be used to reduce the risk of adverse birth outcomes and improve the health of mothers and infants in Georgia. Georgia PRAMS is the only data source for many key indicators of maternal and child health in the state, providing essential data to identify disparities, select maternal and child health priorities, inform and evaluate programs, and inform policy changes to improve the health of all mothers and infants in Georgia.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "8370", "attributes": { "award_id": "1U54CK000613-01", "title": "Infection Prevention and Antimicrobial Stewardship: Minding the Gaps: The Iowa Prevention Epicenter", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2021-06-01", "end_date": "2026-05-31", "award_amount": 545782, "principal_investigator": { "id": 24153, "first_name": "Loreen A", "last_name": "Herwaldt", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 220, "ror": "https://ror.org/036jqmy94", "name": "University of Iowa", "address": "", "city": "", "state": "IA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 220, "ror": "https://ror.org/036jqmy94", "name": "University of Iowa", "address": "", "city": "", "state": "IA", "zip": "", "country": "United States", "approved": true }, "abstract": "We designed this proposal to address multiple CDC Epicenters' research priorities: preventing healthcare personnel (HCP) contamination, understanding and decreasing transmission of epidemiologically important pathogens including emerging respiratory viruses such as COVID-19, extending antimicrobial stewardship (AS), decreasing antimicrobial resistant infections, exploring sepsis epidemiology and prevention, quantifying and decreasing environmental contamination, implementing a decolonization program to obtain source control and decrease surgical site infections (SSI), applying innovative research methodology, and training the next generation of healthcare epidemiologists. Our proposed projects range from translational stage T0 to T2 and involve academic medical centers, a VA Medical Center, acute care hospitals, quick/urgent care centers (UCC), surgical patients, patients discharged from hospitals, and healthcare personnel (HCP) exposed to viral respiratory pathogens. Our long-term objectives are to: 1) improve the integration of infection prevention measures into HCP's patient care processes, 2) improve personal protective equipment (PPE) design and use to decrease HCP contamination and transmission, 3) improve surveillance for healthcare-associated infections (HAI), 4) identify practical ways to decrease spread of viral pathogens, 4) improve antibiotic use and decrease antimicrobial resistance, and 5) prevent hospital-onset sepsis (HOS) and HAI, including SSI. Core Project (CP) I uses methods from human factors engineering, ethnography, industrial hygiene, environmental microbiology, and computer visioning to improve PPE design, decrease HCP self-contamination, improve integration of PPE use and hand hygiene during patient care, and decrease bacterial and viral environmental contamination. CP II employs novel software via cellphones to expand surveillance for SSI and C. difficile infections after discharge and to monitor HCP exposed to respiratory viruses for signs or symptoms of infection. CP III and the Medium Optional Collaborative Project (OCP) address neglected opportunities for AS--UCC and patients at hospital discharge--by creating and testing novel AS metrics to decrease antibiotic prescriptions for acute respiratory tract infections in UCC (CP III) and by conducting a cluster-randomized trial of post-prescription audit-and-review to reduce unnecessary antibiotic use after discharge (Medium OCP). CP IV mines large administrative data sets and analyzes data from individual medical records to define the epidemiology of HOS, validate CDC's acute sepsis event algorithm for HOS, and identify remediable HOS risk factors that could be targets for preventive measures. The Large OCP will conduct a stepped wedge trial of a simple, inexpensive intervention—2 doses of intranasal povidone iodine—to prevent SSI in patients with high- energy lower extremity fractures, who are a high-risk population with few available preventive measures. The Small OCP seeks to improve antibiograms and, therefore, antibiotic use by including geospatial information in antibiograms. This information should provide clinicians with information more specific to their patients.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 1383, "pages": 1424, "count": 14236 } } }