Funded Projects

Explore our currently funded projects. You may search with all three fields, then focus your results by applying any of the dropdown filters. After customizing your search, you may download results and even save your specific search for later.

Reset
Project # Project Title Research Focus Area Research Program Administering IC Institution(s) Investigator(s) Location(s) Year Awarded
1R61DA057667-01
CADENCE – Continuous and Data-drivEN CarE Cross-Cutting Research HEAL Data2Action (HD2A) NIDA UNIVERSITY OF SOUTH FLORIDA FRYER, KIMBERLY (contact); MARSHALL, JENNIFER Tampa, FL 2022
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation Projects (R61/R33 Clinical Trial Optional)
NOFO Number: RFA-DA-22-051
Summary:

Maternal opioid use disorder is the leading cause of death for women who die within a year of giving birth. Many pregnant women do not have access to prenatal care and medications known to be standard of care for opioid use disorder. This project will create, measure, and evaluate costs for an interactive dashboard that collects and analyzes data about maternal, newborn, and infant outcomes for pregnancies affected by opioid use disorder. This research will also monitor mothers’ use of medications for opioid use disorder and the number of infants born with neonatal withdrawal syndrome that require medication treatment.
1R61DA057600-01
Using Data to Drive Action to Reduce Opioid Overdoses in Seattle, WA Cross-Cutting Research HEAL Data2Action (HD2A) NIDA UNIVERSITY OF WASHINGTON BANTA-GREEN, CALEB (contact); HOOD, JULIA ELIZABETH Seattle, WA 2022
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation Projects (R61/R33 Clinical Trial Optional)
NOFO Number: RFA-DA-22-051
Summary:

This project will use a data-to-action framework to guide implementation of opioid use disorder treatment and harm reduction interventions based on rapid data analysis. It will leverage existing data systems such as Emergency Medical Services (EMS) reports, mobile integrated health case management data, and medical examiner data for near real-time data analyses, visualization, and action planning. This research will collect a range of data (opioid treatment, use of acute care services, morbidity, mortality, incarceration, housing support, and cost benefits) from a sub-acute stabilization center for people at high risk for opioid overdose, including those who have recently overdosed and are referred and transported by EMS teams.
1U2CDA057717-01
HD2A Research Adoption Support Center (RASC) Cross-Cutting Research HEAL Data2Action (HD2A) NIDA STANFORD UNIVERSITY MCGOVERN, MARK P (contact); BECKER, SARA J; BECKER, WILLIAM C; BROWN, C HENDRICKS Redwood City, CA 2022
NOFO Title: HEAL Initiative: HEAL Data2Action Research Adoption Support Center (U2C Clinical Trial Optional)
NOFO Number: RFA-DA-22-050
Summary:

This project creates the HEAL Data2Action Research Adoption Support Center to support the HEAL Data2Action Innovation Projects. It will provide supportive evidence for prevention and treatment practices, form implementation strategies, assess outcomes, obtain feedback from the projects, and assess readiness for scalability. This center will offer on-demand technical assistance, host a learning collaborative, harmonize dissemination and implementation data, provide implementation support, and help with stakeholder engagement. The research will also catalogue evidence-based and emerging opioid use disorder and pain management practices as a resource to the field. The center will address timely, high-priority implementation challenges.
1U24DA057650-01
HEAL Data2Action Modeling and Economic Resource Center Cross-Cutting Research HEAL Data2Action (HD2A) NIDA WEILL MEDICAL COLL OF CORNELL UNIV SCHACKMAN, BRUCE R (contact); LINAS, BENJAMIN P; MCCOLLISTER, KATHRYN E New York, NY 2022
NOFO Title: HEAL Initiative: HEAL Data2Action Modeling and Economic Resource Center (U24 Clinical Trial Optional)
NOFO Number: RFA-DA-22-049
Summary:

This project creates the HEAL Data2Action Modeling and Economic Resource Center that will conduct research as well as support the HEAL Data2Action Innovation Projects with expertise and consultation about simulation modeling and economic evaluation methods. The consultation service will advise on how to select and use various research methods, including economic evaluation, simulation modeling, advanced statistical analysis, behavioral economics, treatment program organization research, and cost analysis. The center will use a dynamic simulation model of opioid use disorder to enhance data-driven decision making. The center will also provide online training resources, tools, and other resources to assess a variety of economic aspects related to the HEAL Data2Action Innovation Projects.
1U24DA057612-01
WF DISC: Navigating Data Solutions for Chronic Pain and Opioid Use Disorder Cross-Cutting Research HEAL Data2Action (HD2A) NIDA WAKE FOREST UNIVERSITY HEALTH SCIENCES ADAMS, MEREDITH C B Winston-Salem, NC 2022
NOFO Title: HEAL Initiative: HEAL Data2Action Data Infrastructure Support Center (U24 Clinical Trial Optional)
NOFO Number: RFA-DA-22-052
Summary:

This project creates the HEAL Data2Action Data Infrastructure Support Center that will conduct research as well as support the HEAL Data2Action Innovation Projects with analytics and support for navigating electronic health records and other “big data” sources, as well as logistical processes related to privacy and ethics. The center will help plan for data collection and assessing outcomes, as well as provide data visualization efforts for various stakeholders. Key support mechanisms include courses, seminars, conferences, trainings, and on-demand technical assistance.
1R01DA057686-01
Fast and Fine: NLP Methods for Near Real-Time and Fine-Grained Overdose Surveillance Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA UNIVERSITY OF KENTUCKY KAVULURU, VENKATA NAGA RAMAKANTH Lexington, KY 2022
NOFO Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
NOFO Number: RFA-DA-22-044
Summary:

Timely and accurate surveillance of fatal and non-fatal overdoses is necessary in light of the worsening overdose crisis, but data is rarely available in real-time. Tracking non-fatal overdoses is especially important because patients who overdose once are likely to experience additional and potentially fatal overdoses. This project aims to increase the quality and timeliness of non-fatal overdose data estimates by analyzing clinicians’ notes rather than clinical codes from emergency department and emergency medical services records. The datasets and models produced from this research will be used to build an interactive dashboard with up-to-date, county-level overdose-surveillance estimates for use by Kentucky first responders to aid in rapid allocation of resources.
1R01DA057630-01
Predicting Fatal and Non-Fatal Overdose in Los Angeles County with Rapid Overdose Surveillance Dashboard to Target Street-Based Addiction Treatment and Harm Reduction Services Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA UNIVERSITY OF CALIFORNIA LOS ANGELES SHOVER, CHELSEA LEIGH (contact); GOODMAN, DAVID Los Angeles, CA 2022
NOFO Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
NOFO Number: RFA-DA-22-044
Summary:

Effective overdose prevention requires timely, location-specific data to efficiently direct resources and interventions as well as to inform healthcare policy. However, rarely is such information available, resulting in responses that are frequently too late. This project will partner with local government agencies from Los Angeles County, California, to rapidly acquire and analyze information in near real-time from multiple sources to identify overdose hotspots and determine overdose metrics. This information will be used to develop a publicly available Rapid Overdose Surveillance Los Angeles online dashboard with built-in analytics. The dashboard will help determine the scope and specifics of overdose and opioid use in Los Angeles County to help target response and guide mobile addiction treatment and harm reduction services.
1R01DA057658-01
Weighting Longitudinal Data to Access Opioid Analgesia Tapering Outcomes Among Patients with Co-Occurring Chronic Pain and Substance Use Disorder Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA LOYOLA UNIVERSITY CHICAGO QEADAN, FARES Maywood, IL 2022
NOFO Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
NOFO Number: RFA-DA-22-044
Summary:

Guidelines published by the Centers for Disease Control and Prevention in 2016 recommended gradual reductions in opioid medication doses (opioid tapering) for people with chronic pain and substance use disorder and recommended that those patients with pain and opioid use disorder should be switched to opioid use disorder medications. Despite wide implementation, little is known about the consequences of opioid tapering among patients with co-occurring chronic pain and substance use disorder. This project will use various databases (Cerner Real-World DataTM, American Hospital Association data, and U.S. Census data) to create a representative electronic health records database. This database will be used to determine the relationship between opioid tapering, multidisciplinary pain treatment, and medications for opioid use disorder – as well as monitor outcomes for patients with chronic pain and co-occurring substance use disorder.
1R01DA057685-01
Identifying Suspected Drug Overdose Deaths in Near Real-Time Using Data Collected by Death Investigators Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA FRIENDS RESEARCH INSTITUTE, INC. HOCHSTATTER, KARLI RAE Baltimore, MD 2022
NOFO Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
NOFO Number: RFA-DA-22-044
Summary:

Effective responses to the highly dynamic overdose crisis require accurate and timely information about the timing and location of drug overdoses, which is currently reported mainly through death certificates that take time to become available and thus limit life-saving responses. This project will comprehensively evaluate, optimize, and assess barriers and facilitators to adoption of a surveillance tool developed by the New York City Office of the Chief Medical Examiner. The tool uses data routinely collected during death investigations to predict in near real-time whether a death was due to an unintentional drug overdose. The findings will inform drug overdose mortality surveillance efforts in other states.
1R01DA057605-01
Rapid Actionable Data for Opioid Response in Kentucky (RADOR-KY) Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA UNIVERSITY OF KENTUCKY SLAVOVA, SVETLA STEFANOVA (contact); TALBERT, JEFFERY C Lexington, KY 2022
NOFO Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
NOFO Number: RFA-DA-22-044
Summary:

To respond quickly and effectively to the constantly changing dynamics of the opioid crisis, public health agencies and organizations need timely state and local data to make critical decisions about where to allocate resources and target responses. This project creates the Rapid Actionable Data for Opioid Response in Kentucky system, a near real-time statewide surveillance system. This resource will combine data from multiple state agencies to provide actionable and timely information to support opioid overdose prevention, harm reduction, evidence-based treatment, and recovery services. The project will also develop user-driven reporting and visualization tools (mobile and web-based apps) that provide immediate access to near real-time community or state level data, reports, and visual analytics.
3R24DA055306-01S1
Wake Forest IMPOWR Dissemination Education and Coordination Center (IDEA-CC) Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA WAKE FOREST UNIVERSITY HEALTH SCIENCES ADAMS, MEREDITH C B Winston-Salem, NC 2022
NOFO Title: Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional)
NOFO Number: PA-20-272
Summary:

This research provides support to strengthen data management, data sharing, and data readiness efforts within the HEAL Initiative. This support further fosters collaboration among HEAL awardees and enables maximal data discoverability, interoperability, and reuse by aligning with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. It also provides an opportunity for existing HEAL Initiative award recipients to increase data “FAIR”-ness, participate in coordinated HEAL Initiative activities to build community around data sharing, and foster sustainability of HEAL Initiative digital assets.
3U2COD023375-07S1
ACT-NOW Data Sustainability - ECHO Administrative Supplement Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data OD/ECHO DUKE UNIVERSITY SMITH, PHILLIP BRIAN; NEWBY, LAURA KRISTIN Durham, NC 2022
NOFO Title: Notice of Special Interest (NOSI): Availability of Administrative Supplements for Helping to End Addiction Long-term (HEAL) Initiative awardees to make data Findable, Accessible, Interoperable, and Reusable (FAIR) through the HEAL Data Ecosystem
NOFO Number: NOT-OD-22-110
Summary:

This research provides support to strengthen data management, data sharing, and data readiness efforts within the HEAL Initiative. This support further fosters collaboration among HEAL awardees and enables maximal data discoverability, interoperability, and reuse by aligning with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. It also provides an opportunity for existing HEAL Initiative award recipients to increase data “FAIR”-ness, participate in coordinated HEAL Initiative activities to build community around data sharing, and foster sustainability of HEAL Initiative digital assets.
3U01DA050442-04S1
Using Implementation Interventions and Peer Recovery Support to Improve Opioid Treatment Outcomes in Community Supervision Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA BROWN UNIVERSITY MARTIN, ROSEMARIE A; BRINKLEY-RUBINSTEIN, LAUREN; ROHSENOW, DAMARIS J Providence, RI 2022
NOFO Title: Notice of Special Interest (NOSI): Availability of Administrative Supplements for Helping to End Addiction Long-term (HEAL) Initiative awardees to make data Findable, Accessible, Interoperable, and Reusable (FAIR) through the HEAL Data Ecosystem
NOFO Number: NOT-OD-22-110
Summary:

This research provides support to strengthen data management, data sharing, and data readiness efforts within the HEAL Initiative. This support further fosters collaboration among HEAL awardees and enables maximal data discoverability, interoperability, and reuse by aligning with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. It also provides an opportunity for existing HEAL Initiative award recipients to increase data “FAIR”-ness, participate in coordinated HEAL Initiative activities to build community around data sharing, and foster sustainability of HEAL Initiative digital assets.
1R21DA057598-01
Tracking the Opioid Epidemic with Social Media: An Early Warning System Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA STANFORD UNIVERSITY ALTMAN, RUSS BIAGIO Redwood City, CA 2022
NOFO Title: HEAL Initiative: Exploratory Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R21- Clinical Trial Not Allowed)
NOFO Number: RFA-DA-22-045
Summary:

A key component to addressing the current opioid overdose crisis is the ability to track dangerous opioid use in a timely manner so that public health agencies can plan accordingly. Direct reports about drug use and overdoses from social media might provide a useful early warning system that when combined with other sources, can provide policy makers and public health officials with powerful tools for monitoring this public health crisis. This project will explore the usefulness of Twitter and Reddit as a social media component of opioid use surveillance – in particular by monitoring mentions of fentanyl and synthetic opioids at various geographic levels (e.g., local or regional) and over time.
1R01DA057599-01
Mining Social Media Big Data for Toxicovigilance: Studying Substance Use via Natural Language Processing and Machine Learning Methods Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA EMORY UNIVERSITY SARKER, ABEED H Atlanta, GA 2022
NOFO Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
NOFO Number: RFA-DA-22-044
Summary:

Monitoring and reporting substance use and substance use disorder is difficult to obtain in real-time using conventional methods. However, social media captures large amounts of data about substance use that are reported by diverse groups of people. Analysis of these data can provide population- or subpopulation-level insights, at low cost and in near real-time. This project aims to convert large amounts of social media data on substance use into actionable knowledge using advanced natural language processing and artificial intelligence approaches. The researchers will publicly release the aggregated statistics through a dedicated dashboard and provide user-friendly, open-source tools to determine trends and analyze disparities.
1R21DA057677-01
Developing a Timely Opioid Overdose Detection Tool through a Tribally Engaged Approach Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA UNIVERSITY OF CALIFORNIA, SAN DIEGO GAINES, TOMMI LYNN La Jolla, CA 2022
NOFO Title: HEAL Initiative: Exploratory Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R21- Clinical Trial Not Allowed)
NOFO Number: RFA-DA-22-045
Summary:

Addressing the current opioid overdose crisis requires tracking risky opioid use in a timely manner so that public health agencies can plan accordingly and supply life-saving resources. American Indian Tribes often lack such tools, even though American Indians and Alaska Natives have the highest rates of opioid overdose fatalities. This project will adapt commercialized monitoring technologies for use in Tribal communities, in consultation with affected Tribes. Through a partnership with a Tribal Fire Department and a software company providing data analytics for public safety agencies, this research will build a near real-time opioid overdose dashboard for use within Tribal boundaries. The findings may also improve data collection and outbreak monitoring for other substances, including methamphetamine and cocaine.
1R21AR082657-01
Risk of Care Escalation after Non-Pharmacologic Treatment: Leveraging Real World Physical Therapy Data Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NCCIH DUKE UNIVERSITY LENTZ, TREVOR Durham, NC 2022
NOFO Title: HEAL Initiative: Secondary Analysis and Integration of Existing Data Related to Acute and Chronic Pain Development or Management in Humans (R21 Clinical Trials Not Allowed)
NOFO Number: RFA-DE-22-011
Summary:

Musculoskeletal pain is common, costly, and affects millions of Americans. Clinical guidelines strongly recommend complementary and integrative treatments such as physical therapy, but nearly half of people receiving physical therapy for musculoskeletal pain seek additional care. Additional treatments such as medication and surgery are more aggressive and carry higher risk. This project will use data from a large physical therapy dataset and nationwide medical claims data to investigate why some people do not respond well to physical therapy for musculoskeletal pain, toward finding safe and effective options for these individuals.
1R21AT012430-01
Pain Management Strategies, Associated Psychological Variables, and Outcomes in Critical Limb Ischemia Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDCR YALE UNIVERSITY SMOLDEREN, KIM GERMAINE (contact); MENA-HURTADO, CARLOS New Haven, CT 2022
NOFO Title: HEAL Initiative: Secondary Analysis and Integration of Existing Data Related to Acute and Chronic Pain Development or Management in Humans (R21 Clinical Trials Not Allowed)
NOFO Number: RFA-DE-22-011
Summary:

Critical limb ischemia is the most severe form of peripheral artery disease, is very painful, and can lead to amputation and even death. Most patients with this condition live with chronic pain, but comprehensive and effective treatment is lacking. This project will use existing data from three databases to study medical pain management approaches used over time by individuals with critical limb ischemia – toward creating an integrated, patient-centered, and multimodal pain management approach for this condition.
1R21DE032531-01
Long-term Opioid Therapy, Depression, and Suicide Mortality Risk in Patients with Head and Neck Cancer Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDCR DUKE UNIVERSITY OSAZUWA-PETERS, NOSAYABA Durham, NC 2022
NOFO Title: HEAL Initiative: Secondary Analysis and Integration of Existing Data Related to Acute and Chronic Pain Development or Management in Humans (R21 Clinical Trials Not Allowed)
NOFO Number: RFA-DE-22-011
Summary:

It is unclear if long-term use of opioids by head and neck cancer patients affects risk for depression, which is higher in this population compared to people without cancer. This knowledge could inform interventions such as increased opioid prescription safety or alternative pain management approaches and could thus help reduce the risk for depression-related outcomes. This project will use data from a national cancer database linked to Medicare claims and a Veterans Administration database to determine whether people with head and neck cancer that take opioid medications for more than 90 days have increased risk for new-onset or worsening depression or suicide death.
1R21HD112210-01
Neurobiology of Pain Experiences in Youth in the ABCD Study Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NICHD OREGON HEALTH & SCIENCE UNIVERSITY WILSON, ANNA CAMILLE Portland, OR 2022
NOFO Title: HEAL Initiative: Secondary Analysis and Integration of Existing Data Related to Acute and Chronic Pain Development or Management in Humans (R21 Clinical Trials Not Allowed)
NOFO Number: RFA-DE-22-011
Summary:

Many millions of Americans experience chronic pain, including about 25 million who report pain that substantially interferes with daily activities and reduces quality of life. Many chronic pain syndromes are more prevalent in females, and the incidence of chronic pain increases dramatically during adolescence. This research will use neuroimaging and other biological, social, and psychological data from a large study of young adolescents with or without pain to identify risk and protective factors for chronic pain.
1R21AT012431-01
Psychosocial Risk Factors for Chronic Pain: Characterizing Brain and Genetic Pathways and Variation Across Understudied Populations Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NCCIH DARTMOUTH COLLEGE WAGER, TOR D Hanover, NH 2022
NOFO Title: HEAL Initiative: Secondary Analysis and Integration of Existing Data Related to Acute and Chronic Pain Development or Management in Humans (R21 Clinical Trials Not Allowed)
NOFO Number: RFA-DE-22-011
Summary:

Fifty million Americans experience chronic pain, including about 25 million who report pain that substantially interferes with daily activities and reduces quality of life. Mental health problems, including depression, anxiety, and post-traumatic stress disorder, increase risk for severe chronic pain. This project will use genetic data, information about observable characteristics (phenotypic data), and neuroimaging data from three large databases to identify psychosocial factors that predict chronic pain, assess differences across diverse U.S. populations, and determine whether risk profiles predict post-surgical chronic pain.
3R01MH128904-02S1
Supporting Treatment Access and Recovery for Co-Occurring Opioid Use and Mental Health Disorders (STAR-COD) Cross-Cutting Research NIMH UNIV OF MASSACHUSETTS MED SCH WORCESTER SMELSON, DAVID A (contact); GONZALEZ, GERARDO ; LI, WENJUN ; OLMSTEAD, TODD ALDEN Worcester, MA 2022
NOFO Title: HEAL Initiative: Notice of Special Interest (NOSI) regarding the Availability of Administrative Supplements to Support Strategies to Increase Participant Diversity, Inclusion and Engagement in Clinical Studies
NOFO Number: NOT-NS-22-066
Summary:

Black/African American and Hispanic/Latino individuals suffer a disproportionate burden of co-occurring substance use and mental illness, in part due to reduced access to culturally responsive quality healthcare, compared to other racial/ethnic groups. In addition, Black/African American and Hispanic/Latino individuals are not well represented in clinical trials that could help reduce these health disparities. This research aims to improve the recruitment of Black/African American and Hispanic/Latino individuals to participate in clinical research related to co-occurring substance use and mental illness. The project will conduct community engagement and community-based participatory research, establishing a bidirectional partnership between researchers and community members.
3UM1NS118922-03S2
Transition from Acute to Chronic Pain After Thoracic Surgery Cross-Cutting Research NINDS UNIVERSITY OF MICHIGAN BRUMMETT, CHAD M; CHANG, ANDREW CHING-HUNG; CLAUW, DANIEL J; WALJEE, JENNIFER FILIP Ann Arbor, MI 2022
NOFO Title: HEAL Initiative: Notice of Special Interest (NOSI) regarding the Availability of Administrative Supplements to Support Strategies to Increase Participant Diversity, Inclusion and Engagement in Clinical Studies
NOFO Number: NOT-NS-22-066
Summary:

Rigorous and impactful clinical pain research requires participant diversity that reflects the racial/ethnic diversity of affected populations. This project will enhance patient and other community engagement, particularly of underrepresented minorities, to participate in clinical research related to the transition of acute to chronic pain.
1R21DE032583-01
Predicting Pediatric Sickle Cell Disease Acute Pain Using Mathematical Models Based on mHealth Data Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDCR VIRGINIA COMMONWEALTH UNIVERSITY VALRIE, CECELIA R (contact); MCGEE, REGINALD Richmond, VA 2022
NOFO Title: HEAL Initiative: Secondary Analysis and Integration of Existing Data Related to Acute and Chronic Pain Development or Management in Humans (R21 Clinical Trials Not Allowed)
NOFO Number: RFA-DE-22-011
Summary:

Sickle cell disease is an inherited blood disorder affecting about 100,000 Americans and more than 20 million people worldwide. It is caused by a mutation in the gene for beta-globin that results in the characteristic sickled shape of red blood cells, life-long severe pain, and shortened lifespan. Sickle cell disease pain episodes are usually unanticipated, making it hard for people with the condition to manage their pain and putting them at risk for increased use of opioids and poor health outcomes. This project will use existing real-time health data to identify factors that can predict onset, severity, and worsening of daily pain in children with sickle cell disease.
1R21DE032532-01
Secondary Analysis and Integration of Existing Data Related to Chronic Orofacial Pain and Placebo Effects Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDCR UNIVERSITY OF MARYLAND, BALTIMORE COLLOCA, LUANA (contact); DORSEY, SUSAN G Baltimore, MD 2022
NOFO Title: HEAL Initiative: Secondary Analysis and Integration of Existing Data Related to Acute and Chronic Pain Development or Management in Humans (R21 Clinical Trials Not Allowed)
NOFO Number: RFA-DE-22-011
Summary:

Temporomandibular joint (TMJ) disorders, which affect the joint connecting the lower jaw and the skull, are common and difficult chronic pain conditions. Pain management strategies that harness the body’s own pain relief mechanisms (including placebo effects in which pain relief cannot be attributed to a specific treatment), can reduce the severity and duration of TMJ-related chronic pain. Although research suggests that placebo effects may have a genetic basis, few, if any, genetic studies have examined this possibility in individuals with TMJ disorders. This project will use in-depth genetic, sociodemographic, clinical, and psychological data collected from adults with chronic TMJ disorders to better understand how the placebo effect works.