Funded Projects

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.

This project supports a post-baccalaureate trainee develop skills needed to pursue a career in clinical pain research. The research will use molecular tools to study nerve, joint, muscle, and fascia tissues from individuals with chronic low back pain who had spine surgery. The research will include working with patients, designing clinical studies, and sharing results. 

Neuropathic pain is characterized by neuronal hyperexcitability and spontaneous activity, properties associated with activity of hyperpolarization-activated, cyclic nucleotide-regulated (HCN1-4) channels, the source of the pacemaker current, Ih. Inhibition of HCN1-mediated Ih elicits marked antihyperalgesia in multiple animal models of neuropathic pain, including models for direct nerve injury and chemotherapy-induced peripheral neuropathy, and does so with little or no disruption to either normal pain processing or baseline behaviors and activities. The overall objective is to develop a peripherally restricted HCN1 inverse-agonist as a therapeutic for neuropathic pain. Researchers have generated a novel small molecule that combines an antihyperalgesic HCN1 inhibitor with a motif that controls distribution and membrane presentation and is a potential non-opioid antihyperalgesic treatment for peripheral neuropathic pain.

Pain signals originate predominantly in a subset of peripheral sensory neurons that harbor a distinct subset of voltage-gated sodium (NaV) channels; however, current NaV channel blockers, such as local anesthetics, are non-selective and also block NaV channels vital for function of the heart, muscle, and central nervous system. Genetic studies have identified human NaV1.7, NaV1.8, and NaV1.9 channel subtypes as key players in pain signaling and as major contributors to action potential generation in peripheral neurons. ProTx-II is a highly potent and moderately selective peptide toxin that inhibits human NaV1.7 activation. This study will optimize ProTx-II selectivity, potency, and stability by exploiting the new structures of ProTx-II—human NaV1.7 channel complexes, advances in rational peptide optimization, and rigorous potency and efficacy screens to generate high-affinity, selective inhibitors of human NaV1.7, NaV1.8, and NaV1.9 channels that can define a new class of biologics to treat pain.

African American adults are less likely to receive analgesics, particularly opioids. Research in the pediatric surgical population is limited, but the pattern of disparate use of opioids appears consistent with adults. Furthermore, adolescent access to prescribed opioids has increased, both through physician prescribing and misuse of medications prescribed to family members or friends. This study will explore the interrelated impacts of policy, clinical need, and sociodemographic factors by combining Medicaid claims and electronic health record data with findings from a statewide opioid policy inventory. We will focus on discharge prescribing of opioids in three high-volume pediatric surgical procedures: tonsillectomy/adenoidectomy, supracondylar fracture, and appendectomy. We aim to 1) determine the extent of racial disparities in postoperative discharge opioid prescribing since the 2011 onset of enhanced opioid prescription reduction activities and 2) develop an expanded model to assess the linkage between differential opioid use for pediatric postoperative pain and opioid use-related outcomes.

Ethnic groups show substantial variability in the experience of acute and clinical pain, with African Americans (AAs) having more clinical pain conditions and higher levels of pain severity and pain-related disability compared to non-Hispanic whites (NHW). Ethnic differences in opioid neurotransmitters suggest that these systems function less efficiently among AAs and may account for differences in pain and analgesic responses. The overwhelming majority of clinically used opioids elicit their effects through activation of the mu-opioid receptor, making it a relevant target for investigation. We propose to examine ethnic differences in the supraspinal endogenous opioid system using positron emission tomography (PET) imaging of mu-opioid receptors employing the mu-selective agonist [11C]carfentanil. Healthy AAs and sex-, age-, SES-matched NHW participants will undergo one baseline (non-pain) and one capsaicin-induced pain PET session using [11C]carfentanil. The current proposal will measure µ-opioid binding potential and examine its role in ethnic group differences in pain sensitivity.

Previous studies found that African American (AA) and low socioeconomic status (SES) patients are less likely to receive guideline-concordant pain care relative to White and high SES patients. According to research and theory, enhancing clinician perspective-taking is a promising strategy for improving the care of AA and low SES patients. We have developed an innovative methodology that utilizes computer-simulated patients and environments to assess, understand, and remediate pain treatment disparities. Our approach allows for the intervention to be individually tailored to each trainee, thereby enhancing its impact. It also allows for individual trainees to gain exposure to a greater range of racially and socioeconomically diverse patients than can normally be obtained in traditional training settings. We hypothesize that our perspective-taking intervention will increase trainees’ knowledge of their own biases, enhance trainees’ empathy toward patients, and reduce trainees’ anxiety/threat toward patients, and that these changes will reduce pain treatment disparities.

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.

This study will evaluate the implementation of the Zero Suicide framework across six health systems serving over nine million people in collaboration with the Mental Health Research Network. The project will incorporate the voice of the patient and provider stakeholders as part of the implementation of the Zero Suicide framework in three health settings from the NIMH-funded parent award as well as the Southcentral Foundation which is an Alaska Native-owned, nonprofit health care organization serving nearly 65,000 American Indian/Alaskan Native people living in and around Anchorage, Alaska. The team will first systematically engage patients, providers, national consumer advocacy groups, and MHRN scientists in formulating research questions to address the prevention of opioid-related overdoses in people with Opioid Use Disorders (OUD) or people without diagnosed OUD who are using opioids for pain management. Next, the team will utilize semi-structured interviews to determine how people with OUD or people without diagnosed OUD who are using opioids for pain management are experiencing the implementation of the Zero Suicide framework in four diverse health systems. Experiences will be recorded using 80 semi-structured phone interviews in a diverse sample of patients who have survived an opioid-related overdose (50% intentional; 50% unintentional), as well as 20 Addiction Medicine, Primary Care, and/or Specialty Pain Medicine providers.

This study will refine and test a collaborative care model for patients with opioid use disorder (OUD) and major depression, post-traumatic stress disorder, or an anxiety disorder in primary care. The primary aims of the study are: (1) prototype and test elements of the research team’s collaborative care models; (2) conduct a randomized study of three collaborative care conditions to determine which is most effective in improving outcomes for people with OUD and mental health conditions: Augmented Usual Care, Collaborative Care, or Collaborative Care + Social Worker; (3) measure clinician and organizational-level factors associated with implementation to increase success; (4) conduct a cost evaluation of each collaborative care model; and (5) work with smaller and rural practices to develop and test effective strategies to manage OUD. Successful completion of this study will provide evidence regarding the elements of integrated collaborative care required to maximize outcomes for individuals with OUD and psychiatric disorders.

Medication-assisted treatment (MAT) represents the gold-standard intervention for opioid use disorder (OUD). However, only 20% of Americans with OUD received any formal or informal addiction treatment in the past year. Lack of access and engagement in MAT is driving poor OUD outcomes, especially in rural areas lacking specialty addiction services. The Advancing Integrated Mental Health Solutions (AIMS) Center at the University of Washington has successfully helped over a thousand primary care clinics across the country implement collaborative care for mental health disorders. The study will determine whether collaborative care can be used to successfully treat mental health disorders and OUD concurrently in primary care settings. Clinics offering collaborative care will randomize sites to add OUD to their collaborative care program or remain unchanged. Clinics not offering collaborative care will randomize sites to implementing collaborative care for OUD and mental health disorders simultaneously or for mental health disorders only.

In 2015–2016, there were over 2 million adults with an opioid use disorder (OUD); 62% had a co-occurring mental illness and 24% had a co-occurring serious mental illness. Despite the effectiveness of treatment, many individuals never receive it, and when treatment is provided, quality is low. This is a critical treatment gap in a vulnerable and stigmatized population. Collaborative care (CC) aims to address these gaps by improving access, quality, and outcomes in primary care patients with common mental health conditions. However, CC has never been tested with co-occurring disorders (COD). In the team’s CC model for COD (CC-COD), the CC team includes a behavioral health psychotherapist, medications for OUD, pharmacotherapy for depression and post-traumatic stress disorder (PTSD), motivational interviewing (MI), problem-solving therapy, and Seeking Safety. A multisite, randomized pragmatic trial will be conducted to adapt, harmonize, and then test whether CC-COD improves access, quality, and outcomes for patients with comorbid OUD and depression and/or PTSD.

The project will address gaps in both risk identification and clinical management by utilizing comprehensive clinical data from a mature health information exchange containing more than 2.3 million patients across the spectrum of clinical care (hospitals, primary care, specialty care, community health centers, urgent care) to develop a statistically robust method to measure suicide risk associated with prescription opioid use. First, the team will couple data fusion techniques with machine learning-based approaches in identifying the clinical and demographic characteristics associated with elevated risk of suicidal behavior among prescription opioid users. Second, the team will develop clinical profiles of patients with higher risk of suicidal behavior associated with prescription opioids, and to incorporate these profiles in a clinical decision support platform that can be used for identification and intervention at the point of care. The clinical decision support tool developed under this proposal will provide a generalizable platform that could be extended to other more conventional opioid related outcomes such as OUD and overdose.