View clinical trials related to Opioid Use.
Filter by:The opioid epidemic is a considerable problem in the United States, and prescription opioids significantly contribute to the epidemic. Head and neck cancer (HNC) patients are inherently at increased risk for opioid dependence as surgical treatment can cause significant pain and up to 50% of patients also suffer from psychiatric comorbidities. Novel methods are needed to decrease opioid consumption following HNC surgeries to limit the risk of chronic opioid dependence in these patients. Conditioning therapy with placebo aims to elicit a classically conditioned response to an inactive medication through consistent pairing of the medication with a neutral stimulus (i.e. an odor) and has been shown to be effective for decreasing the amount of active drug require for certain clinical responses, including for acute pain. However, studies have not been completed for the treatment of acute pain in the inpatient post-operative setting. The overall goal of this pilot study is to determine the feasibility and effectiveness of conditioned open-label placebo (COLP) as an adjunct for post-operative pain management in complex head and neck cancer patients. This randomized, controlled, open-label trial will specifically compare post-operative opioid consumption and pain scales between patients receiving multimodal analgesia along with conditioned open-label placebo (COLP group) to those receiving multimodal analgesia, alone (Treatment as usual group). Findings from this study will determine the efficacy of COLP as an innovative approach to decrease opioid consumption and improve pain control in head and neck cancer patients and will provide rationale for development of future large scale trials.
Pharmacist-led pharmacogenomics (PGx) clinical services and medication safety reviews are currently being offered to PACE organizations under the direction of licensed healthcare prescribers by CareKinesis d/b/a Tabula Rasa HealthCare. This project aims to include patients enrolled in PACE organizations with chronic pain and who are prescribed CYP2D6 activated opioids. PGx testing will be performed by contractual PGx vendor with TRHC. PGx results will be integrated into TRHC's proprietary Clinical Decision Support System (Medication Risk Mitigation™ Matrix, CareKinesis, Moorestown, NJ) that guides pharmacists to identify drug-drug interactions (DDIs), drug-gene interactions (DGIs), and drug-drug-gene interactions (DDGIs).16 Clinical pharmacists will translate PGx results combined with a comprehensive DDI review into actionable clinical decisions. Clinical pharmacists will provide medication therapy management recommendation to address medication problems to the PACE prescriber (physician). PACE prescribers will review the pharmacist's recommendation, and based on their clinical assessment, the prescriber will decide whether or not to implement the opioid therapy recommendation.
Breast surgery, which includes mastectomy, breast reconstructive surgery, or lumpectomies with sentinel node biopsies, may lead to the development of chronic pain and long-term opioid use. In the era of an opioid crisis, it is important to risk-stratify this surgical population for risk of these outcomes in an effort to personalize pain management. The opioid epidemic in the United States resulted in more than 40,000 deaths in 2016, 40% of which involved prescription opioids. Furthermore, it is estimated that 2 million patients become opioid-dependent after elective, outpatient surgery each year. After major breast surgery, chronic pain has been reported to develop anywhere between 35% - 62% of patients, while about 10% use long-term opioids. Precision medicine is a concept at which medical management is tailored to an individual patient based on a specific patient's characteristics, including social, demographic, medical, genetic, and molecular/cellular data. With a plethora of data specific to millions of patients, the use of artificial intelligence (AI) modalities to analyze big data in order to implement precision medicine is crucial. We propose to prospectively collect rich data from patients undergoing various breast surgeries in order to develop predictive models using AI modalities to predict patients at-risk for chronic pain and opioid use.
Unnecessary opioid prescriptions for postoperative pain can increase the risk for new, persistent opioid use and dependence. Published literature suggests that most patients undergoing thyroid or parathyroid surgery can have their pain effectively managed without opioids following hospital discharge. The purpose of this quasi-experimental, quality improvement study is to develop, implement, and measure the impact of a quality improvement bundle that consists of (1) patient education, (2) provider education, and (3) electronic health record (EHR) enhancements. The proportion of patients who receive new opioid discharge prescriptions for pain management following thyroid or parathyroid surgery at Houston Methodist Hospital for up to 6 months following bundle implementation will be compared to a historical control group.
The Care Continuity Program (CCP), a product of Sure Med Compliance, is a novel, online patient self-assessment used by prescribers of opioids to better identify patient risk factors and therapy benefit. This tool is completed by the patient, outside of the office, using an internet enabled device and follows a compliance driven protocol developed by analyzing case law against physicians in mis-prescribing opioid cases. Results, in the form of a date and time stamped legal report, are instantly transmitted to the prescriber's electronic health records, mitigating the prescriber's civil and criminal risk. A brief of findings is displayed within the software through a dashboard and on the summary page of the report. This software offering includes a mobile and standard web-based application. The objective of the proposed research is to validate the protocols and delivery system of the CCP by measuring patient outcomes, prescriber confidence, and completeness of documentation in the patient chart in primary care and pain management settings, pre and post implementation of the CCP.
Pain is a major risk factor for chronic postoperative pain. Adequate perioperative pain relief is an important metric for patient satisfaction and to achieve good recovery outcomes. Opioids remain the primary systemic pharmacotherapy for intraoperative and postoperative analgesia, particularly for moderate to severe pain. When used judiciously, opioids are effective in reducing suffering and helping patients cope with postoperative pain. However, there are challenges - a) side effects can result in harm, like respiratory depression; b) over-reliance on opioids can increase drug dependency; c) over-prescription can encourage addiction, overdose and death, leading to a human and financial burden from both, an individual, and public health standpoint. Over-prescription of opioids for acute pain is strongly linked to patient morbidity and mortality. For example, a new opioid prescription raises the risk of lethal or non-lethal overdose, as well as the conversion from opioid-naive to chronic user. Canadian Institute of Health Information (CIHI), and Public Health Agency of Canada (PHAC) data emphasize the public health need to reduce reliance on opioids: "From January 2016 to June 2018, more than 9,000 Canadians died from apparent opioid related harms. In 2017, an average of 17 Canadians were hospitalized for opioid poisonings each day - an increase from 16 per day in 2016". Prescription opioid use appears to be an early driver of the current crisis. Given the local and national severity of the opioid crisis, there is need for a pragmatic, timely, and scalable intervention to reduce reliance on opioids as we strive to improve healthcare for patients and alleviate the economic burden on the medical system. This proposal for a stepped-wedge randomized trial of a multi-faceted opioid-use reduction strategy addresses key drivers of the opioid crisis and has the potential to reduce patient exposure to opioids and, thereby, improve morbidity and mortality. Hospitals involved in this study will all eventually participate in an opioid reduction strategy that will limit the access and prescription of opioids to surgical patients and will incorporate various opioid reduction strategies at both a patient and hospital level.
This study integrates the Mental Health Research Network (MHRN) suicide risk models into Opioid Wizard, an electronic health record (EHR) clinical decision support (CDS) to identify and treat patients at high risk of opioid use disorder (OUD)/overdose or diagnosed with OUD, to alert primary care clinicians (PCCs) to patients at elevated risk for suicide and guide them through structured suicide risk assessment. In both intervention and control clinics, suicide risk scores will be calculated for all Opioid Wizard-eligible patients and relevant EHR data to inform analyses will be archived. In intervention clinics, Opioid Wizard will alert PCCs to Opioid Wizard-eligible patients who are at increased risk of suicide and coach them through use of the Columbia Suicide Severity Risk Scale (CSSRS), a structured tool in the EHR that will help PCCs assess immediate suicide risk. Based on the resulting CSSRS score, Opioid Wizard will provide EHR links for risk-based referrals and follow-up recommendations, including care as usual, routine or emergent referral to behavioral health, or transportation to the emergency department (ED) for further assessment. Primary outcome measures include completion of CSSRS assessments for at-risk patients and patient engagement in outpatient mental health care.
The proposed study will determine if cognitive behavioral therapy will help improve loneliness in people who use opioids.
Patients with chronic pain who use opioids appear to be at increased risk for breathing issues during sleep, termed sleep disordered breathing (SDB). Treatment of SDB often consists of use of a device during sleep that provides continuous positive airway pressure (CPAP) via a mask interface. The goal of this study is to determine whether patients with chronic pain who use opioids and have SDB might benefit from the use of CPAP in terms of sleep quality, pain, quality of life, and other measures. In addition, the study will examine whether these individuals are able to adhere to CPAP, which will be important for future studies. Lastly, we anticipate that CPAP won't work for everyone due to the changes that opioids can cause in breathing patterns. We will examine how often CPAP is ineffective, and whether we can predict which individuals are least likely to resolve their SDB with CPAP.
Combatting the rise of the opioid epidemic is a central challenge of U.S. health care policy. A promising approach for improving welfare and decreasing medical costs of people with substance abuse disorders is offering incentive payments for healthy behaviors. This approach, broadly known as "contingency management" in the medical literature, has repeatedly shown to be effective in treating substance abuse. However, the use of incentives by treatment facilities remains extremely low. Furthermore, it is not well understood how to design optimal incentives to treat opioid abuse. This project will conduct a randomized evaluation of two types of dynamically adjusting incentive schedules for people with opioid use disorders or cocaine use disorders: "escalating" schedules where incentive amounts increase with success to increase incentive power, and "de-escalating" schedules where incentive amounts decrease with success to improve incentive targeting. Both schemes are implemented with a novel "turnkey" mobile application, making them uniquely low-cost, low-hassle, and scalable. Effects will be measured on abstinence outcomes, including longest duration of abstinence and the percentage of negative drug tests. In combination with survey data, variation from the experiment will shed light on the barriers to abstinence more broadly and inform the understanding of optimal incentive design.