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Tag: relapse

Telehealth Proves Successful for Opioid Use Disorder Treatment

Article Excerpt: Virtual care provider Ophelia found 56% of its OUD patients remained in treatment for six months and 48% stayed for one year, with retention rates significantly higher than traditional in-person care…”These study findings help take another step forward in proving what we already know: telehealth-based medication-assisted treatment for opioid use disorder is highly effective in reducing overdoses and preventing relapse,” (Chief medical officer at Ophelia) said.

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Article Source: Healthcare IT News


UAMS Researchers Design App to Prevent Opioid Use Disorder Relapse

Article Excerpt: A trio of researchers at the University of Arkansas for Medical Sciences (UAMS) have designed a smart phone application to decrease opioid cravings and optimize medication-assisted treatment among individuals with opioid use disorder. A prototype of the app, known as OptiMAT (Optimizing Medication Assisted Treatment), was one of five winning entries in the 2022 National Institute on Drug Abuse (NIDA) “Product Prototypes to Combat Drug Craving” Challenge, a national contest of product prototypes designed to reduce drug cravings and prevent drug misuse, earning Andrew James, Ph.D., Ronald G. Thompson, Ph.D., and Mary Bollinger, Ph.D., an honorable mention and a $5,000 cash prize.

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Article Source: UAMS News


Leveraging a Technology Accelerator to Drive Addiction Treatment Success

Article Excerpt: Effective treatments that lead to improved patient outcomes are what clinicians strive to provide for their patients across healthcare settings and specialties. But there may be many hurdles to treatment success depending on the condition, type of care required, or the way that patient data is used. This is especially true in behavioral health and addiction treatment, where finding and leveraging the drivers of treatment success can be hampered by limited technology and data analytics capabilities… The pervasiveness of SUD, along with the need for individualized treatments, can make it difficult for treatment centers and providers to gain insights into treatment success and improve practices. To meet this challenge, Cumberland Heights, a Tennessee-based drug and alcohol addiction treatment facility with 350 employees, 2,500 patients annually, and 20 locations, turned to a ‘technology accelerator’ platform. Nick Hayes, PhD, chief science officer at Cumberland Heights, sat down with HealthITAnalytics to discuss how the organization uses the cloud-based EMR software to better understand the ways in which unique patient predictors lead to better patient outcomes.

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Article Source: Health IT Analytics


Digital Tool Helps Emergency Department Doctors Treat Opioid Use Disorder

Article Excerpt: Emergency departments (EDs) are an important point of care for people with opioid use disorder. But EDs in the United States have been slow to meet patient needs for opioid use treatments like buprenorphine, past research shows. A new tool developed by Yale researchers aims to close this gap by helping physicians feel more prepared to offer these medications. In a recent trial, the researchers found that the tool — called EMergency department-initiated BuprenorphinE for opioid use Disorder (EMBED) — increased the number of physicians initiating buprenorphine treatment in the ED. Their findings were reported June 27 in the BMJ, a global medical journal.

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Article Source: Yale News


MGH Scientists Develop a Data-Driven Simulation Model to Address the Rampant Opioid Crisis

Article Excerpt: A data-driven simulation model designed to help policymakers to better understand and address the nation’s rampant opioid crisis has been developed by a team of scientists at Massachusetts General Hospital (MGH). In a study in the journal PNAS, researchers report that the model, known as SOURCE (Simulation of Opioid Use, Response, Consequences, and Effects), presents the most detailed model to date of the crisis by capturing how the interconnections between stages of prescription and illicit opioid use, from initiation and addiction treatment to relapse and overdose mortality, have evolved over time. “The opioid crisis is so complex that it demands a dynamic simulation tool that can generate reliable data and a big picture perspective on this major public health challenge,” says senior author Mohammad Jalali, PhD, with the MGH Institute for Technology Assessment.

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Article Source: News-Medical.Net


Therapeutic Digital Gaming and VR to Level-Up Treatment for Addiction

Article Excerpt: In a lab in Berlin, Germany, healthy older adults are immersed in a cruise trip simulation called Schiff Ahoi! (Ship Ahoy!). Armed with a tablet device, they must quickly move food items from the ship’s buffet onto a plate before they disappear, while avoiding items they have been instructed not to take. Performance-related points help sail the ship to Mediterranean destinations, where players can collect virtual postcards. Such games may hold the key to finding innovative ways of training inhibition in people with addictions or impulsive behaviours. From alcohol and drug use to smoking, gambling and food-related disorders, these can be notoriously hard to break, and there is a significant chance of relapse even when evidence-based treatments are applied.

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Article Source: Horizon Magazine


Wearable Sensor May Help Curb Opioid Relapses, Overdoses

Article Excerpt: Researchers from the University of Massachusetts Amherst, Syracuse University and SUNY Upstate Medical University have collaborated to create a wireless senor designed to prevent opioid relapses and overdoses. The opioid epidemic has steadily worsened across the country since the late 1990s. In 2019, nearly 50,000 people in the U.S. died from opioid-related overdoses, according to data from the National Institute on Drug Abuse. Further, around 21 to 29 percent of patients prescribed opioids for chronic pain misuse them, the federal data shows.To combat this issue, the research team — headed by Tauhidur Rahman, PhD, an assistant professor in the College of Information and Computer Sciences at UMass Amherst and co-director of the MOSAIC Lab — is developing a sensor, which will use machine learning to pinpoint psychophysiological signs in real time and determine whether they are consistent with opioid cravings. Cravings are one of the main drivers behind relapses and overdoses.

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Article Source: mHealth Intelligence


Smartwatch to Detect Opioid Cravings, Offer Interventions

Article Excerpt: In what could prevent opioid users from misusing drugs, experts are working on a project to develop smartwatches with the ability to detect emotional and psychological patterns opioid users show hours before indulging in substance abuse. The project is funded by the National Science Foundation’s Smart and Connected Health program, an independent agency funded by the United States government. The University of Massachusetts recently announced that “a research team … has received a $1.1 million grant to further develop a smartwatch sensor designed to support the long-term recovery of people with opioid use disorder (OUD).”

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Article Source: TRT World


New App Seeks to Improve Mental Health at the Clinical Frontline

Article Excerpt: A new interactive a smartphone app, for promoting mental health wellness, has been launched. The app is called Columbia Psychiatry Pathways and it is designed to help practitioners identify and treat depression. The app is designed for use on the typical smartphone device. The app was developed by Columbia University researchers in partnership with the technology company avoMD, which is a digital health startup. The app has been designed to aid clinicians to provide critical mental health care services in an outpatient setting, where most people with depression are seen.

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Article Source: Digital Journal