Funded Projects

Project # Project Title Research Focus Area Research Program Administering IC(s) Institution(s) Investigator(s) Location(s) Year Awarded
1R21AG082344-01
Using Secondary Analyses to Test Novel Pathways Linking Family Stress and Pain Incidence and Persistence Among African Americans Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIA UT SOUTHWESTERN MEDICAL CENTER WOODS, SARAH B Dallas, TX 2022
FOA Title: HEAL Initiative: Secondary Analysis and Integration of Existing Data Related to Acute and Chronic Pain Development or Managementin Humans (R21 Clinical Trials Not Allowed)
FOA Number: RFA-DE-22-011
Summary:

Chronic pain is a persistent source of disability and reduced quality of life for aging adults. Chronic pain-related outcomes are disproportionately worse for aging African Americans, who report greater pain severity and worse pain-related disability compared to White peers. A significant pain risk factor for African Americans is chronic stress (including family-related stress), which is worsened by structural inequities that affect this population. Although many African Americans identify family support as critical for pain self-management, this influence has not been studied thoroughly. This project will study how pain conditions develop and persist for aging African Americans by analyzing existing data from African American participants in two large aging studies: Midlife in the U.S. (721 participants) and the Health and Retirement Study (2,698 participants). The research aims to determine how family emotional climate affects pain risk, taking into account structural factors like discrimination, socioeconomic disparity, and the influence of various neighborhood settings.

1R21CA277849-01
The Effects of Hydrocodone Rescheduling on Pain Management of Older Lung Cancer Patients Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NCI PENNSYLVANIA STATE UNIV HERSHEY MED CTR SHEN, CHA Hershey, PA 2022
FOA Title: HEAL Initiative: Secondary Analysis and Integration of Existing Data Related to Acute and Chronic Pain Development or Managementin Humans (R21 Clinical Trials Not Allowed)
FOA Number: RFA-DE-22-011
Summary:

Pain is common, complex, and debilitating in many cancer patients. Although adequate pain management can significantly improve health-related quality of life for these individuals, substantial disparities limit care access, especially among underserved populations. After the 2014 Drug Enforcement Agency policy that raised the risk potential of the opioid hydrocodone (from Schedule III to Schedule II), few studies examined the impact of this policy on pain management strategies and outcomes among cancer patients. This project will use national cancer registry data linked with Medicare claims to assess the change in opioid and non-opioid medication use among older lung cancer patients before and after this policy change. By focusing on older racial/ethnic minority groups dually eligible for both Medicare and Medicaid, the research will also examine disparities in the use of medications for pain management and service use consistent with inadequate pain management.

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
FOA Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
FOA 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.

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
FOA 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
FOA 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.

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
FOA Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
FOA 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.

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
FOA Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
FOA 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.

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
FOA Title: HEAL Initiative: Exploratory Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R21- Clinical Trial Not Allowed)
FOA 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.

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; TALBERT, JEFFERY C Lexington, KY 2022
FOA Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
FOA 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
FOA Title: Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional)
FOA 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.

1R01DA057668-01
Opioid and SUD Data Enclave (O-SUDDEn): Bringing Real-Time Data to the Opioid Crisis Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA OHIO STATE UNIVERSITY JACKSON, REBECCA D; FERNANDEZ, SOLEDAD A; HUERTA, TIMOTHY R Columbus, OH 2022
FOA Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
FOA Number: RFA-DA-22-044
Summary:

The lack of timely data about drug use and overdose deaths has hindered the ability of communities and state agencies to allocate resources to regions where they are most needed. This project will develop a secure data pool that combines individual and community-level real-time data from multiple sources, including urine drug testing. These data will then be used to model the contribution of opioid, cocaine, and stimulant use to overdoses, overdose deaths, and cases of substance use disorder. This research will also use urine drug testing results and demographic/contextual data to identify populations and subpopulations at highest risk of drug use and overdose. This information will be displayed through a data platform tailored to the needs of end users (e.g., communities or agencies) and with user-friendly tools that help users make informed decisions on where resources are most urgently needed.

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; GOODMAN, DAVID Los Angeles, CA 2022
FOA Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
FOA 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.

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
FOA 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
FOA 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.

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
FOA Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
FOA 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.

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
FOA Title: HEAL Initiative: Exploratory Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R21- Clinical Trial Not Allowed)
FOA 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.

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; MCGEE, REGINALD Richmond, VA 2022
FOA 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)
FOA 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.

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 New Haven, CT 2022
FOA 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)
FOA 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.

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; DORSEY, SUSAN G Baltimore, MD 2022
FOA 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)
FOA 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.

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
FOA 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)
FOA 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.

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
FOA 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)
FOA 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.

1R21AG082345-01
Assessing Chronic Pain Using Brain Entropy Mapping Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIA UNIVERSITY OF MARYLAND, BALTIMORE WANG, ZE Baltimore, MD 2022
FOA 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)
FOA Number: RFA-DE-22-011
Summary:

Chronic pain affects millions of Americans and remains poorly understood and challenging to manage. Researchers do not fully understand brain processes involved in chronic pain, which can vary considerably from person to person. This project will analyze brain function using magnetic resonance imaging (MRI) in individuals with and without chronic pain. The research will also directly determine the degree of pain-related brain imaging changes by using a large database of brain imaging data.

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
FOA 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)
FOA 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.

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
FOA 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)
FOA 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.

1R21DE032584-01
Identifying Chronic Pain Phenotypes and Treatment Disparities in Adults with Cerebral Palsy Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDCR UNIVERSITY OF MICHIGAN PETERSON, MARK D Ann Arbor, MI 2022
FOA 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)
FOA Number: RFA-DE-22-011
Summary:

Cerebral palsy is the most common physical disability in children. Those who have this condition experience pain throughout their lives. Although opioids are generally not recommended, many adults with cerebral palsy are prescribed them for pain. This project will assess the incidence of chronic pain conditions in adults with and without cerebral palsy as well as measure opioid treatment-related health outcomes in adults with cerebral palsy. This research will also evaluate pain treatment disparities related to race/ethnicity and insurance coverage using national medical claims databases.

3UH3DA047925-03S1
Development of a 3-Month Implantable Depot Pellet of Naltrexone for the Treatment of Opioid Use Disorder Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA BIOCORRX, INC. MALLON, ANDREW PETER Anaheim, CA 2022
FOA 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
FOA Number: NOT-OD-22-033
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.

3R01DE029202-01S2
Validation of Blocking TSP4/Cava2d1 Interaction as a New Target for Neuropathic Pain Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDCR UNIVERSITY OF CALIFORNIA-IRVINE LUO, ZHIGANG DAVID Irvine, CA 2022
FOA 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
FOA Number: NOT-OD-22-033
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.