Funded Projects

Chronic low back pain (CLBP) is a problem affecting millions of Americans. Psychosocial approaches are efficacious for addressing the multidimensional nature of CLBP. Three of the most widely implemented nonpharmacological techniques for CLBP management are cognitive therapy (CT), mindfulness meditation (MM), and behavioral activation (BA). However, there is a critical lack of research examining if these techniques work via the mechanisms specified by theory. Ecological momentary assessment (EMA) and ActiGraph technology embedded within a randomized controlled trial, consisting of daily measures of process and outcome, is ideal for testing mechanism models both during treatment and during the critical period following treatment. The current proposal seeks to utilize EMA and ActiGraph to examine if changes in cognitive content, cognitive process, and activity level are mechanisms specific to CT, MM, and BA, respectively, for reducing pain interference. Elucidating the mechanisms of pain coping skills will lead to streamlined CLBP interventions.

Justice-involved young adults are one of the highest-risk populations for the development of opioid use disorder (OUD) and other significant public health problems, but they usually lack access to evidence-based practices that could potentially prevent this trajectory. The risk of unintentional death and other deleterious outcomes and long-term costs for opioid misuse for young adults, their communities and society (costs estimated at more than $115 billion annually) make this a priority, with rural areas in need of the most attention and assistance. The overriding purpose of the proposed pilot study is to prevent the onset of OUD by improving young adult offenders’ access to evidence-based risk reduction interventions, like contingency management (CM), by testing whether officers in the adult probation and parole setting can deliver such an intervention to their young adult substance using probationers who have not yet developed OUD. The primary motivation for this pilot is the clear public health need for improving and expanding delivery of substance use risk reduction interventions for young adults in the justice system. The ultimate outcome would be prevention of OUD in this high-risk population.

Morbidity and mortality related to prescription opioids are accelerating in the United States. Identifying the factors that lead to new opioid dependence among opioid naïve patients is a critical opportunity to reduce prescription opioid dependence and unintended diversion. In the United States, the majority of individuals who become opioid dependent receive their first opioid prescription following surgical procedures, yet there are no clinical guidelines to inform appropriate postoperative opioid use. We will examine the patient factors that are associated with postoperative pain and opioid consumption among a cohort of patients undergoing common elective abdominal procedures. We will identify the provider characteristics in postoperative opioid prescribing practices, and design and implement a provider-directed intervention to optimize postoperative opioid prescribing. Findings will inform patients and providers regarding the risk of opioid dependence following surgery, and will establish a patient-centered data infrastructure that yields continuous feedback to providers regarding appropriate opioid prescribing practices.

A large number of probationers/parolees with opioid use disorder have limited access to effective treatment. This study is the first random clinical trial in the United States that will assess the effectiveness of buprenorphine treatment using MedicaSafe, a system composed of secure pre-packaged buprenorphine/naloxone cartridges, designed to be dispensed by a SmartKey device that enables clinicians to track patient adherence. The study will initiate treatment at a community corrections office compared to referral to a community program. The public health impact of the proposed study would be widespread, as this model of care could be implemented throughout many areas of the United States with high rates of opioid use disorder in their probation/parolee populations that lack access to methadone treatment.

This project is focused on identifying the clinical, genetic, and neural characteristics that convey risk for prescription opioid addiction. We will leverage the central biorepository and electronic health record (EHR) database of the Geisinger Health System to conduct large-scale genomics research and phenotype development. Through a collaboration with Regeneron Pharmaceuticals, the Geisinger biobank currently contains DNA samples on about 110,000 participants and includes both Illumina OmniExpressExome genotyping and whole exome sequence data, including common and rare variants, from over 60,000 of these subjects. This discovery cohort contains thousands of chronic musculoskeletal pain patients who have been taking greater than 120 mg equivalents of morphine for more than three months. Using EHR and self-report tools to develop a case definition and quantitative scoring, we will derive a clinical/genetic profile of prescription opioid addiction. This profile will be enhanced via integration of neuroimaging data.

Current rates of prescription opioid misuse are rising to epidemic levels among adults. These rates may be even higher among adolescents and young adults (AYAs), who have elevated levels of substance exploration and misuse during this precise developmental period. AYAs who are exposed to opioids via legitimate prescriptions by age 18 are at increased risk for misuse after high school. However, there is a substantial gap in our knowledge of what factors might contribute to the development of misuse and related poor outcomes in these high-risk youth. Identifying factors that convey risk for increasing opioid use and problematic use would inform AYA models of opioid abuse and inform the development of preventive interventions to modify risk in medical settings, which are a unique point of entry into opioid use, and a key setting in which to examine AYA outcomes. We will use a developmental model of the impact of opioid exposure by legitimate prescription during late adolescence, with consideration for pain and psychological characteristics of the individual within the psychosocial (family, peer, educational and work context). Determining mechanisms and moderators of risk during this developmental transition will provide critical information for the design of interventions aimed at reducing opioid use disorders in at-risk AYA.

Expanding access to naloxone in the community through the pharmacy can be a critical mechanism for extending this lifesaving medication’s reach. This study will partner with two large retail pharmacy chains and integrate two interventions that provide knowledge and training for pharmacists to identify and effectively engage with patients who may be at high risk for an opioid overdose. The interventions will be combined into a cohesive educational program, implemented in 160 community pharmacies and tested for effectiveness. Study findings will create a generalizable, evidence-based training and toolkit for pharmacists caring for patients who use prescribed or illicit opioids, in more than 40 states adopting or expanding pharmacy naloxone.

The International Classification of Diseases 10th revision codes are insufficient to accurately identify individuals who use opioids and stimulants together. This project will search already collected electronic health record data using a computer program to identify people with polysubstance use and determine what health care they receive. The research will improve understanding of polysubstance use in a region of Los Angeles, California, with very high rates of overdoses involving fentanyl and stimulants. 

The System of Safety (SOS) represents an opportunity to study the implementation of best practice suicide-related care processes that embody the Zero Suicide Essential Elements of Care across emergency departments, inpatient medical and behavioral health units, and primary care clinics associated with a large healthcare system. This effectiveness trial will use a stepped wedge design across a total of 39 clinical units. Aim 1 will measure suicide risk screening and screening's impact on risk identification. Aim 2 will measure the effective implementation of clinician-administered interventions, such as safety planning with means restriction counseling, on suicide, suicide attempts, and suicide-related acute healthcare. Exploratory aims will examine mechanisms of action, moderators, economics, and population effects of the intervention. This study's innovative approach positions it for a significant impact on the fields of suicide prevention, CQI, and effectiveness trial design and analysis.

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.

Justice-involved veterans have lower access to opioid use disorder (OUD) pharmacotherapy and need an effective transition from the justice system to the Department of Veterans Affairs (VA) and community health care systems to improve drug addiction treatment and outcomes. We will quantitatively evaluate patient and facility characteristics associated with differences in receipt of OUD pharmacotherapy among justice-involved veterans compared with non-justice-involved veterans and within-facility changes over time; qualitatively identify drivers of higher or lower access to OUD pharmacotherapy among justice-involved veterans compared with other veterans with OUD at the same facility; evaluate stakeholders’ perceptions of factors that explain within-facility changes in access to OUD pharmacotherapy over time; and develop and conduct a formative evaluation of implementation strategies to improve access to OUD pharmacotherapy. Results will be used to design and select implementation strategies that address identified barriers to improve access to OUD pharmacotherapy for justice-involved veterans.