Funded Projects

Chronic musculoskeletal pain is common and often severe enough to be disabling. Some treatments such as cognitive behavioral therapies or analgesics may relieve pain for some, but not all patients. Combining effective therapies and providing support to ensure that patients are motivated to adhere to their treatment may prove to be more beneficial to patients than prescribing a drug or recommending a single non-pharmacological treatment. This study aims to evaluate a combination of complementary treatments and Registered Nurse (RN) support to motivate patients to use and maintain combined therapies. Some patients will receive phone-based motivational interviews with an RN to enhance their adherence to pain coping skills learned through web-based cognitive behavioral therapy in combination with duloxetine, a pain-relieving drug. Others will receive both treatments but will not receive support from an RN. The study aims to determine whether motivational nursing support enhances adherence to newly learned pain coping skills, and results in improved pain relief and physical function.

This study addresses the public health problem of chronic pain as one of the most feared symptoms in people with cancer. Insufficient relief from pharmacological treatments and the fear of side effects are important reasons for the growing use of complementary pain management approaches in people with cancer. One such approach is music therapy. Although efficacy of music therapy for pain has been established, there are no mechanistic studies clarifying how it works in clinical populations. The overarching goals of this study are to 1) examine mediators and moderators hypothesized to account for the pain-reducing effects of interactive music therapy (IMT) in people with advanced cancer and chronic pain and 2) validate IMT’s theory of action. The results of this study will provide estimated effects sizes of IMT on the mediators and preliminary effect size estimates for the pain outcomes. This information will be instrumental in the development of a subsequent large-scale efficacy trial.

Wound care procedures (WCPs), such as dressing changes, cause moderate to severe pain in 74% of patients, nearly half of whom experience severe pain. Mainstay recommendations to prevent pain during WCPs have focused on either administration of preventive and procedural analgesia or use of expensive, non-adherent dressings. However, it is unclear which patients to target for analgesia or expensive dressings, leading to their inappropriate over- or underuse. To achieve the aims of the study, a comprehensive set of wound, patient, and biological factors will be measured concurrently with pain during a dressing change among a sample of 450 inpatients with open wounds. A predictive model will be developed and biological mechanisms will be examined using logistic regression. The proposed study has the potential to make significant contributions because clinicians will be able to target those patients requiring preventive pain control, thereby eliminating the spiraling impact of painful procedures on nociceptor sensitization.

Cataract surgery is commonly performed in older adults; however, some patients subsequently experience chronic eye pain that is difficult to treat. One promising approach that is effective in some, but not all, patients uses the patient's own serum (a component of blood) as eye drops. This project seeks to identify markers that can help predict which patients will respond to serum treatment and monitor their progress. Using advanced technology and data analysis to evaluate patient histories, questionnaires, and different genetic and other molecular characteristics in the eyes and serum it aims to identify potential markers that can then be tested in a clinical study.

There are currently no reliable tools to measure pain objectively, and health care providers must rely on patient’s subjective reports and observations of patient behavior to determine the level of pain a person experiences. This hampers both effective pain management and the development of new pain medications. This project will assess an imaging technology called Radiocaine that in animal studies has been able to identify the origin of pain as well as its intensity. The goal is to use Radiocaine in clinical trials for pain treatments, thereby enhancing treatment effectiveness and facilitating development of new treatments.

A main goal of the NIH HEAL Initiative and the Early Phase Pain Intervention Clinical Network (EPPIC-Net) is to improve non-opioid pain management. This award will leverage the resources at one of EPPIC-Net’s Specialized Clinical Centers by implementing and evaluating strategies to improve the engagement, recruitment, and retention of individuals from underserved racial/ethnic minority populations to participate in EPPIC-Net clinical trials. Since environmental, cultural, and genetic factors may account for observed differences in pain responses between racial and ethnic groups, enrollment of a diverse sample in pain research is crucial to obtain a complete understanding of the effectiveness of any proposed pain therapeutic intervention. The success of these activities will be evaluated, and a toolkit will be created to define best practices that can be by other EPPIC-Net sites and additional trials.

Chronic pancreatitis is a painful condition often caused by long-term alcohol use, and patients often require treatment with strong pain medications, including opioids. Therefore, alternative treatments for chronic pancreatitis are needed. This project will use machine learning approaches to create a prediction tool based on electroencephalography analyses, sensory tests, and psychological questionnaires that can help determine which patients with chronic pancreatitis will benefit most from a specific type of treatment called endoscopic therapy.

A major barrier to developing new pain treatments has been the absence of infrastructure to facilitate well-designed and carefully conducted clinical trials to test the efficacy of promising treatments. The UF Health Specialized Clinical Center Network will include UF Health as “hub” and statewide partners serving as spokes as part of the EPPIC Network. The University of Florida (UF) has the capability to reach more than 50% of the population of Florida, the third most populous state of the United States, and the capacity to successfully enroll patients with varying pain conditions into clinical trial protocols through its hub and spoke infrastructure as part of EPPIC-Net.

Chronic low back pain affects millions of people in the United States, resulting in high medical costs and lost productivity. New opioid-free treatments are needed to help people with chronic low back pain, but not all people respond equally to a given approach. IMPACT aims to use machine learning to analyze data such as physical activity, sleep, emotions, and pain levels and identify markers that can help predict how effective a mindfulness-based treatment approach (Mindfulness-Based Stress Reduction) can be for people with chronic low back pain.

Enhancing the workforce of pain investigators and practitioners is a key goal of the NIH HEAL Initiative. This mentoring award leverages the resources at one of EPPIC-Net’s Specialized Clinical Centers to encourage interest in clinical pain management, in particular through multidisciplinary pain research projects. A selected investigator will train early career clinical researchers on how to develop and validate relevant pain measures and outcomes in chronic pain conditions, including chemotherapy-induced peripheral neuropathy and neuropathic chronic low back pain. Mentoring activities will include formal research and analysis, active inclusion in EPPIC-Net working groups, and collaborative writing experiences.

Improving pain treatment for is a major goal of the NIH HEAL Initiative. This award supports an early career physician toward achieving a future in clinical pain research and in conducting phase II clinical trials focused on pain. Research activities will provide this individual with the skills needed to serve as a primary investigator for future clinical trials in chronic pain and will help to answer a key question that could improve the design of analgesic clinical trials for neurogenic intermittent claudication, a distinct form of chronic low back pain for which no available treatment exists.