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Tag: prevention

Researchers Developing Mixed Reality Naloxone Training to Combat Opioid Overdose Deaths

Article Excerpt: OSF Healthcare (OSF), a not-for-profit healthcare organization, has announced this week a new partnership with Illinois State University (ISU) and Southern Illinois University Carbondale (SIU) to utilize mixed-reality technology to create an immersive training program designed to help combat opioid overdose deaths. The partnership is based on the development of an Illinois Innovation Network-funded education project called Virtual Reality Embedded Naloxone Training (VENT). The work centers around the development of mixed-use or augmented reality (AR) education for an immersive, engaging approach to train people on how to administer naloxone — which serves as a safe and effective antidote for suspected opioid overdoses. OSF noted that the U.S. Food and Drug Administration (FDA) made naloxone nasal spray available over the counter in March as part of a strategy that includes harm reduction through innovation and education.

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Article Source: Auganix


When Naloxone Isn’t Enough: How Technology Can Save Lives when People Use Drugs Alone

Article Excerpt: Researchers from Brown and Rhode Island Hospital are working with Rhode Island community members to understand how apps, monitors and other emerging technologies can help prevent opioid overdose deaths.

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Article Source: News from Brown


Mixed methods evaluation of vaping and tobacco product use prevention interventions among youth in the Florida 4-H program

Bteddini DS, LeLaurin JH, Chi X, Hall JM, Theis RP, Gurka MJ, Lee J-H, Mobley EM, Khalil GE, Polansky CJ, Kellner AM, Fahnlander AM, Kelder SH, Fiellin LE, Gutter MS, Shenkman EA, & Salloum RG. (2023). Mixed methods evaluation of vaping and tobacco product use prevention interventions among youth in the Florida 4-H program. Addictive Behaviors, 141, 107637–107637.

This pilot study tested the delivery feasibility and outcomes of two programs, CATCH My Breath and smokeSCREEN, among youth in rural settings in Florida. Eighty-two youth participants (aged 11-17) were recruited from rural youth clubs in Florida and randomly assigned to one of three arms: CATCH My Breath, smokeSCREEN, and control (receiving educational flyers). CATCH My Breath and smokescreen are prevention interventions that focus on promoting healthy behaviors and increasing awareness of vaping and tobacco use. CATCH My Breath consists of four interactive modules on vaping prevention delivered over Zoom group sessions weekly for four w eeks. smokeSCREEN is a smoking and vaping prevention video game and was delivered individually to adolescents. Participants from both intervention arms were also invited join group Zoom discussions weekly for four weeks to discuss the game. Out of the participants in the intervention arms, 83.7% attended the majority of group Zoom sessions. After the intervention, CATCH My Breath participants showed significant improvement in tobacco knowledge (post-pre=3.3, p<.01) and risk perceptions for other flavored tobacco products (post-pre=1.6, p<.05). Post intervention, smokeSCREEN participants demonstrated significantly improved tobacco knowledge (post-pre=5.0, p<.01), e-cigarettes knowledge (post-pre=2.8, p<.01) and risk perception towards e-cigarettes (post-pre=2.8, p<.05). In the control group, only risk perception to cigarettes significantly changed (post-pre=1.1, p<.01). Findings show positive feasibility and immediate positive impact of these digital intervention games augmented by virtual group sessions. Future work is needed to differentiate the impact of digital games from that of virtual group discussions. Investigations with larger samples and a longer follow-up period to evaluate longer-term impact are needed.


Translating Violence Prevention Programs from Research to Practice: SafERteens Implementation in an Urban Emergency Department

Carter PM, Cunningham RM, Eisman AB, Resnicow K, Roche JS, Cole JT, Goldstick J, Kilbourne AM, & Walton MA. (2022). Translating Violence Prevention Programs from Research to Practice: SafERteens Implementation in an Urban Emergency Department. The Journal of Emergency Medicine, 62(1), 109–124.

This study examined the translation of SafERteens, an evidence-based violence prevention program, into clinical care. Implementation of the program was piloted in an emergency department (ED) hospital setting with youth (14-18 years old) who screened positive for recent aggression during an ED visit. Youth participants were randomized to SafERteens (delivered remotely by study therapists or in-person by hospital staff) or enhanced usual care. The SafERteens intervention is a 30–45-minute brief behavioral intervention that integrates motivational interviewing for cognitive behavioral strategies. Participants also received an optional 2-month tailored text messaging program on self-efficacy, reminders on their goals, and tools to avoid violence. Data was collected from hospital staff on implementation facilitators and barriers using the RE-AIM framework. SafERteens completion rate was found to be 77.6% for remote delivery and 49.1% for in-person delivery. The SafERteens and tailored text messaging demonstrated high acceptability among youth; 84.9% of participants found it helpful. After the intervention, participants reported increased self-efficacy to avoid fighting and decreased pro-violence attitudes compared to baseline. Hospital staff reported a number of barriers to implementation such as limited staff availability and lack of reimbursement for staff time to conduct intervention delivery. Remote delivery of SafERteens can be a promising strategy to overcome resource limitations. Results demonstrate that policymakers should continue to expand reimbursement mechanisms in hospitals for violence screening and interventions.


Spotting Opioid Overdoses Before They Happen, With AI

Article Excerpt: A Stony Brook University computer professor with an AI algorithm that detects substance abuse through language has refocused the impressive prediction technology on opioids – with startling results. Associate Computer Science Professor H. Andrew Schwartz is the senior author of a new study detailing the use of artificial intelligence to predict opioid mortalities. The work builds on Schwartz’s earlier success identifying high- and low-risk alcohol abuse via an AI application that interpreted language used in Facebook posts. This time, Schwartz and four other authors – including lead author Matthew Matero, an SBU computer-science student, and National Institute on Drug Abuse Data Scientist Salvatore Giorgi – hope to create some desperately needed “location-specific aid for the U.S. opioid crisis,” according to the abstract of an article published last week by the peer-reviewed open-access journal Npj Digital Medicine.

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Article Source: Innovate LI


Deep Learning Algorithm Can Hear Alcohol in Voice

Article Excerpt: La Trobe University researchers have developed an artificial intelligence (AI) algorithm that could work alongside expensive and potentially biased breath testing devices in pubs and clubs. The technology can instantly determine whether a person has exceeded the legal alcohol limit purely on using a 12-seconds recording of their voice.

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Article Source: Neuroscience News


Researchers to Develop Smartwatch Device to Address Youth Mental Health Crisis

Article Excerpt: With the goal of addressing a growing mental health crisis among teenagers, Oregon Health and Science University (OHSU) partnered with Analog Devices, Inc (ADI) to develop a wearable smartwatch device to serve as an early detector of suicidality or depression. According to federal data, suicide is the second-leading cause of death among youth aged 10 to 17. The data also shows that youth suicide rates in the US increased from 6.8 per 100,000 in 2007 to 10.7 per 100,000 in 2018, according to the press release. On top of this, thoughts related to suicide are common, with 18.8 percent of high school students in the US having reported suicide consideration. This high demand for mental healthcare among the youth often exceeds the number of mental health beds available, forcing patients to wait in the emergency department for days.

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Article Source: mHealth Intelligence


Technology a Powerful Tool in The Fight Against Tobacco

Article Excerpt: At the recent World Health Summit in Berlin, the WHO Director-General Dr Tedros Adhanom Ghebreyesus announced the launch of the Tobacco Cessation Consortium. A mechanism set up to engage the private sector and other non-governmental actors, the Consortium hopes to unlock financing and enhance accessibility for support services for smokers around the globe, especially in developing countries where tobacco use is rising. As Dr Ghebreyesus highlighted, all possible tools must be brought to bear in the fight against tobacco—and advanced technologies are set to play a particularly important role.

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Article Source: Analytics Insight


Can Smartphones Help Predict Suicide?

Article Excerpt: A unique research project is tracking hundreds of people at risk for suicide, using data from smartphones and wearable biosensors to identify periods of high danger — and intervene… In the field of mental health, few new areas generate as much excitement as machine learning, which uses computer algorithms to better predict human behavior. There is, at the same time, exploding interest in biosensors that can track a person’s mood in real time, factoring in music choices, social media posts, facial expression and vocal expression.

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Article Source: The New York Times