Funded Projects

Fibromyalgia is a chronic pain condition characterized by widespread musculoskeletal pain, tenderness, stiffness, fatigue, and sleep disturbance. The FAST trial (Fibromyalgia Activity Study with transcutaneous electrical nerve stimulation [TENS]) was the first study to conclusively demonstrate the clinical value of TENS for treating musculoskeletal pain. While physical therapists are trained in the use of TENS, it is underused in clinical practice. This project will test TENS in fibromyalgia patients receiving physical therapy in a real-world physical therapy practice setting. This research will determine if adding TENS to physical therapy reduces pain, increases adherence to physical therapy and allows fibromyalgia patients to reach their self-defined functional goals with less use of medication.

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.

Chronic pain is a debilitating medical condition that affects roughly 50 million people in the United States. Current diagnostics and treatments rely primarily on subjective metrics and do not target the unique biological, psychological, and social factors that contribute to an individual’s pain. This project is part of the NIH Back Pain Consortium (BACPAC) program, a patient-centered effort to address the need for effective and personalized therapies for chronic low back pain. This research will enhance patient diversity within the BACPAC research participant population.

Myofascial pain syndrome is a prevalent and debilitating condition and can aggravate other conditions such as sickle cell disease. This project will use total body imaging using positron emission tomography/computed tomography (TB-PET/CT) to identify and monitor this pain syndrome and potential treatments over time. The research will use TB-PET/CT to assess myofascial tissue effects of chronic low back pain and sickle cell disease pain. The first phase of the project will assess health changes observed by TB-PET/CT imaging in painful and non-painful myofascial tissues compared to healthy myofascial tissue. The second phase of the research will be a randomized, controlled longitudinal interventional study to evaluate the effectiveness of acupuncture on myofascial pain syndrome, using TB-PET/CT imaging to assess changes.

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.

This project aims to develop a new way to stimulate the delta opioid receptor to treat withdrawal and abstinence from chronic opioid use. Withdrawal can cause pain, depression, and anxiety, which contribute to relapse. The research will test promising drug candidates in animal models with the intention of bringing at least one effective and safe compound to the final stage of drug development before human clinical trials can begin.

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.

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.

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.

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.

Despite substantial increases in overdose deaths among people who use methamphetamine, little is known about how to effectively provide harm reduction services to these individuals. This project will combine and test two harm reduction interventions for people who use methamphetamine. First, peer recovery support specialists will help identify personal harm reduction goals. The project will also test the value of incentives toward achieving these goals (a strategy known as contingency management).

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.