Funded Projects

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.

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.

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.

This project will use a data-to-action framework to guide implementation of opioid use disorder treatment and harm reduction interventions based on rapid data analysis. It will leverage existing data systems such as Emergency Medical Services (EMS) reports, mobile integrated health case management data, and medical examiner data for near real-time data analyses, visualization, and action planning. This research will collect a range of data (opioid treatment, use of acute care services, morbidity, mortality, incarceration, housing support, and cost benefits) from a sub-acute stabilization center for people at high risk for opioid overdose, including those who have recently overdosed and are referred and transported by EMS teams.

This project creates the HEAL Data2Action Data Infrastructure Support Center that will conduct research as well as support the HEAL Data2Action Innovation Projects with analytics and support for navigating electronic health records and other “big data” sources, as well as logistical processes related to privacy and ethics. The center will help plan for data collection and assessing outcomes, as well as provide data visualization efforts for various stakeholders. Key support mechanisms include courses, seminars, conferences, trainings, and on-demand technical assistance.

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.

This project creates the HEAL Data2Action Research Adoption Support Center to support the HEAL Data2Action Innovation Projects. It will provide supportive evidence for prevention and treatment practices, form implementation strategies, assess outcomes, obtain feedback from the projects, and assess readiness for scalability. This center will offer on-demand technical assistance, host a learning collaborative, harmonize dissemination and implementation data, provide implementation support, and help with stakeholder engagement. The research will also catalogue evidence-based and emerging opioid use disorder and pain management practices as a resource to the field. The center will address timely, high-priority implementation challenges.

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.

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.

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.

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.

During the COVID-19 public health emergency, the Substance Use and Mental Health Services Administration relaxed regulations for take-home dosing of methadone, offering an opportunity to improve methadone treatment access and address racial and ethnic disparities. This project aims to address regulatory, legal liability, and financial concerns related to clinical practice changes in opioid treatment programs. The project will first review state administrative data and conduct qualitative interviews to inform the intervention approach. The project will then evaluate an opioid treatment program intervention involving take-home methadone and its effect on take-home dosing, retention in care, and health outcomes for Black/African American and Hispanic/Latino individuals who take methadone for opioid use disorder.

This project will develop and refine a wearable device (forearm bracelet) designed to rapidly sense and report the presence of opioids in the wearer. This research will optimize this device to provide ultra-high sensitivity, enhanced drug specificity, long-term durability, low power consumption, and cost-effective production. The findings could support a path toward commercialization of this new device.