Funded Projects

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Project # Project Title Research Focus Area Research Program Administering IC Institution(s) Investigator(s) Location(s) Year Awarded
1DP2HD112176-01 Identifying Plasma Proteomic Profiles of Chronic Pain Development in Endometriosis From Adolescence to Adulthood Cross-Cutting Research Training the Next Generation of Researchers in HEAL NICHD BRIGHAM AND WOMEN'S HOSPITAL SASAMOTO, NAOKO Boston, MA 2023
NOFO Title: Emergency Awards: HEAL Initiative- New Innovator Award (DP2 Clinical Trial Not Allowed)
NOFO Number: RFA-TR-22-013
Summary:

Endometriosis is a gynecologic disorder characterized by severe pelvic pain, affecting 10% of reproductive aged women and adolescents worldwide. These individuals are at an increased risk for chronic opioid use, dependence, and overdose. Adolescents and young adults in particular are understudied in endometriosis research. This project will conduct a longitudinal study of adolescent endometriosis. The research will identify novel biomarkers and biological pathways involved in the transition of acute to chronic pain. The research aims to improve non-surgical endometriosis diagnosis, risk, and treatment. 
1DP2NS130454-01 Using Mouse Pain Scales to Discover Unusual Pain Sensitivity and New Pain Targets Cross-Cutting Research Training the Next Generation of Researchers in HEAL NINDS COLUMBIA UNIV NEW YORK MORNINGSIDE ABDUS-SABOOR, ISHMAIL JOHN New York, NY 2022
NOFO Title: Emergency Awards: HEAL Initiative- New Innovator Award (DP2 Clinical Trial Not Allowed)
NOFO Number: RFA-TR-22-013
Summary:

Acute and chronic pain vary widely across patients, due in large part to genetic differences between individuals. The same variation occurs in preclinical animal models with diverse genetic backgrounds. The development of automated mouse “pain scales” using high-speed videography, machine learning, and custom software allows pain to be assessed in a quantitative manner in nonverbal animals. This technology will be used to identify genetically different mice with high or low pain sensitivity, which will facilitate the development of new therapeutic strategies to treat pain and reduce reliance on opioids.
1DP2TR004354-01 Scale Up Single-Cell Technologies to Map Pain-Associated Genes and Cells Across the Lifespan Cross-Cutting Research Training the Next Generation of Researchers in HEAL NCATS Massachusetts General Hospital SHU, JIAN Boston, MA 2022
NOFO Title: Emergency Awards: HEAL Initiative- New Innovator Award (DP2 Clinical Trial Not Allowed)
NOFO Number: RFA-tr-22-013
Summary:

Current treatments for chronic pain, including opioids, are not effective for many individuals. Much remains unknown about genes, circuits, and cells that contribute to chronic pain, including how chronic pain changes across the lifespan in certain populations, including infants, children, older people, and pregnant women. This project will develop technology to map the genes, circuits, and cells associated with pain across ages, sexes, and during pregnancy. The technologies will guide the search for new biomarkers for chronic pain diagnosis and treatments.
1K01DA058750-01 Leveraging mHealth to Increase Health Equity Among Black Individuals with OUD and Commonly Occurring Mental Health Disorders Cross-Cutting Research Training the Next Generation of Researchers in HEAL NIDA WASHINGTON UNIVERSITY SZLYK, HANNAH Saint Louis, MO 2023
NOFO Title: HEAL Initiative: Career Development Awards in Implementation Science for Substance Use Prevention and Treatment (K01 - Clinical Trial Required)
NOFO Number: PAS-22-206
Summary:

This project provides protected time for training and research activities that are required for an independent scientific career in the development, testing, and implementation of cutting-edge digital therapies and tools (such as smartphone apps and other web-based resources) that can promote health equity in treatment of opioid use disorder (OUD). The research will adapt and test digital overdose prevention and recovery support interventions for Black Americans with co-occurring OUD and mental illness. 
1K01DA059641-01 Adapting and Implementing a Chronic Disease Self-Management Program for Primary Care Patients with Opioid Use Disorder and Serious Mental Illness Cross-Cutting Research Training the Next Generation of Researchers in HEAL NIDA UNIVERSITY OF UTAH SIANTZ, ELIZABETH Salt Lake City, UT 2023
NOFO Title: Career Development Awards in Implementation Science for Substance Use Prevention and Treatment (K01 - Clinical Trial Required) 
NOFO Number: PAS-22-206
Summary:

Many people with opioid use disorder (OUD) also have a serious mental illness and other chronic conditions, which can be difficult for individuals and primary care providers to manage. A chronic disease self-management program is an established health care model in which peers help to educate patients about their condition(s) and build problem-solving skills to manage their health. Such programs have been effective in other populations and settings, but they have not been adapted for primary care patients who have OUD and SMI. This project will adapt and test a chronic disease self-management program for this population to understand its feasibility, acceptability, impact, and how best to put such programs into place widely in primary care settings.
1K12NS130673-01 University of Michigan (UM) HEAL Initiative National K12 Clinical Pain Career Development Program (UM-HCPDP) Cross-Cutting Research Training the Next Generation of Researchers in HEAL NINDS UNIVERSITY OF MICHIGAN WILLIAMS, DAVID A (contact); CLAUW, DANIEL J; HARTE, STEVEN EDWARD Ann Arbor, MI 2022
NOFO Title: HEAL Initiative: National K12 Clinical Pain Career Development Program (K12 Clinical Trial Not Allowed)
NOFO Number: RFA-NS-22-045
Summary:

The Interagency Pain Research Coordinating Committee has reported that early-stage investigators are leaving the clinical pain research workforce for other fields. In addition, pain clinician researchers at the senior/mentor level are also exiting the field. This project will create a national training center for early-career clinicians and scientists interested in pursuing and sustaining independent careers in clinical pain research. Research will focus on rigorous scientific methods and procedures in pain research as well as the importance of stakeholder engagement.
1K23DA058751-01 Building and Implementing Best Practices for Buprenorphine Initiation in the Setting of Fentanyl Use Cross-Cutting Research Training the Next Generation of Researchers in HEAL NIDA UNIVERSITY OF WASHINGTON BHATRAJU, ELENORE Seattle, WA 2023
NOFO Title: HEAL Initiative: Career Development Awards in Implementation Science for Substance Use Prevention and Treatment (K23 - Clinical Trial Required)
NOFO Number: PAS-22-207
Summary:

This project provides protected time for training and research activities that are required for an independent scientific career in delivering evidence-based treatments for people with opioid use disorder. The increasing presence of fentanyl in the drug supply creates challenges for the use of buprenorphine, because both patients and physicians want to avoid causing withdrawal. This research will interview both patients and physicians to understand their concerns and experiences and work with them to develop a buprenorphine induction toolkit to help balance the advantages of buprenorphine treatment against concerns about the potential presence of unknown fentanyl. 
1K23DA058785-01 Addressing the Readiness Gap: An eHealth Intervention to Increase Patient Motivation for Evidence-Based Chronic Pain Interventions and Reduced Opioid Reliance Cross-Cutting Research Training the Next Generation of Researchers in HEAL NIDA VIRGINIA COMMONWEALTH UNIVERSITY CROUCH, TAYLOR BERENS Richmond, VA 2023
NOFO Title: Career Development Awards in Implementation Science for Substance Use Prevention and Treatment (K23 - Clinical Trial Required)
NOFO Number: PAS-22-207
Summary:

Evidence-based behavioral treatments for pain are among the most effective and safe approaches, but they are underused, especially among patients taking opioids long-term. Despite known risks to long-term opioid therapy (including opioid use disorder and overdoses), patients may be reluctant to try something different to manage their pain. This project brings together two evidence-based behavior change interventions—motivational interviewing and contingency management—into an online format. The research will test whether web-based tools or mobile apps influence a patient’s willingness to consider using non-medication treatments for pain. The research will assess feasibility, acceptability to patients and providers, and broad-scale implementation.
1K99AR083482-01 Elucidating the Neuroimmune Mechanisms Underlying Pain and Inflammation in Autoimmune Arthritis Cross-Cutting Research Training the Next Generation of Researchers in HEAL NIAMS BOSTON CHILDREN'S HOSPITAL JAIN, AAKANKSHA Boston, MA 2023
NOFO Title: HEAL Initiative Advanced Postdoctoral-to-Independent Career Transition Award in PAIN and SUD Research (K99/R00 Independent Clinical Trial Not Allowed)
NOFO Number: RFA-NS-22-022
Summary:

Rheumatoid arthritis is an autoimmune disease characterized by episodes of joint inflammation and pain. There are currently no safe and effective treatments that achieve long-term remission of the condition or the associated pain. Many patients use opioid medications to manage the pain and are at increased risk of developing opioid use disorder; therefore, additional treatment options are needed. In rheumatoid arthritis, pain-triggering sensory neurons interact with immune cells in the joints. This project aims to dissect the neuroimmune crosstalk underlying pain and inflammation in arthritic joints and uncover novel therapeutic avenues for this painful condition.
1K99AR083486-01 Novel Models to Study Dorsal Root Ganglion Neurons in Knee Osteoarthritis Pain Cross-Cutting Research Training the Next Generation of Researchers in HEAL NIAMS STANFORD UNIVERSITY BREWER, CHELSIE L Stanford, CA 2023
NOFO Title: HEAL Initiative Advanced Postdoctoral-to-Independent Career Transition Award in PAIN and SUD Research (K99/R00 Independent Clinical Trial Not Allowed)
NOFO Number: RFA-NS-22-022
Summary:

Knee osteoarthritis (OA) is a frequent cause of disability and chronic pain. Treatment often relies on analgesics like opioids to manage OA pain, with all the associated risks; other approaches to treat OA are often invasive and inaccessible to patients. Therefore, novel analgesic strategies are needed to reduce the high burden of knee OA-induced pain. This project aims to study in detail and target the sensory neurons that drive OA pain to assist in the development of more effective pain therapeutics.
1K99AT012658-01 A Role for Peripheral NAAA-Regulated Lipid Signaling in the Control of Hyperalgesic Priming Cross-Cutting Research Training the Next Generation of Researchers in HEAL NCCIH UNIVERSITY OF CALIFORNIA-IRVINE FOTIO, YANNICK Irvine, CA 2023
NOFO Title: HEAL Initiative Advanced Postdoctoral-to-Independent Career Transition Award in PAIN and SUD Research (K99/R00 Independent Clinical Trial Not Allowed)
NOFO Number: RFA-NS-22-022
Summary:

Chronic pain remains a significant global heath challenge. Development of novel safe and effective treatments requires a deeper understanding of the molecular and cellular mechanisms that underlie the development of chronic pain. One protein that has been implicated in controlling the transition from acute to chronic pain is N-acylethanolamine acid amidase (NAAA). This project will evaluate how NAAA controls pain susceptibility after an acute insult and how this affects the emergence of chronic pain.
1K99NS134965-01 Lymphocyte Antigen 6 (Ly6) Proteins: New Players in Chronic Pain Cross-Cutting Research Training the Next Generation of Researchers in HEAL NINDS NEW YORK UNIVERSITY GOMEZ, KIMBERLY New York, NY 2023
NOFO Title: HEAL Initiative Advanced Postdoctoral-to-Independent Career Transition Award in PAIN and SUD Research to Promote Diversity (K99/R00 Independent Clinical Trial Not Allowed)
NOFO Number: RFA-NS-22-025
Summary:

Neuropathic pain—a debilitating form of chronic pain affecting millions of people—responds poorly to current analgesic treatment approaches. By better understanding the cellular mechanisms and compounds involved in neuropathic pain, researchers will be able to develop more targeted therapeutic approaches. This project will investigate the role that two proteins—Ly6e and Lynx1—play in various processes involved in the development of neuropathic pain, such as the activity of pain-triggering sensory neurons, interactions between neurons and immune cells, and the activity of an ion channel that has been implicated in the generation of pain signals.
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.
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.
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.
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 FERNANDEZ, SOLEDAD A (contact); HUERTA, TIMOTHY R Columbus, OH 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:

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.
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.
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.
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
NOFO 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)
NOFO 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.
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
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:

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.
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.
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.
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
NOFO 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)
NOFO 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.