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Principal Investigator: Judith Ann Callan
Organization: BEHAIVIOR INC.
Fiscal Year: 2024
Award: $780,183
Funding agency: National Institute on Drug Abuse
Project Summary/Abstract
Opioid addiction affects people of all races, ages, gender identities, education, and income levels across the
United States. The epidemic has been intensifying in recent years, with relapse rates reaching close to 91%
(Kadam et al., 2017) and provisional data from 2020 indicating the highest number of overdose deaths ever
recorded in a year, over 88,000 (Centers for Disease Control and Prevention, 2020). Further, only 10-20% of
people struggling with addiction receive care for their OUD (Substance Abuse and Mental Health Services
Administration, 2020). An increasing body of literature exposes a population extremely vulnerable to opioid
addiction and overdose: United States veterans.
Veterans face unique challenges that predispose them to greater risk for misusing opioids such as
higher prevalence of and more severe pain than the general population (Nahin, 2017), and the stresses and
risks of deployment that often result in PTSD upon return to civilian life (Seal et al., 2012). Indeed, this group,
though not monolithic, may be generally resistant to support; half of military personnel reported that they
believe seeking help for mental health issues would harm their military career. Suicide rates continue to rise,
faster in the veteran population than in the non-veteran population, even despite the decrease in the population
proportion of veterans. In 2018, almost one in seven suicides in the U.S. was a veteran (“2020 National
Veteran Suicide Prevention Annual Report”, 2020). Mental health issues have an effect on substance use
disorders as well. Nationwide, the rate of overdose deaths in veterans increased by 65% from 2010 to 2016
(Lewei et al., 2019). The stressors of deployment during wartime that are often difficult to shake off upon return
to civilian life, incidences of injuries resulting in severe and often chronic pain, and the nuances of military
culture, combined with stigmas associated with OUD, perpetuate a detrimental cycle of addiction for veterans.
To address this, we are proposing the development of a novel solution that addresses the mental health
of veterans nationally via a first-of-its-kind remote monitoring and intervention software-as-a-service offering.
Our system builds upon our technology stack and learnings from clinical studies on individuals with OUD.
Given that substance use in the veteran population often precedes a deleterious cycle commonly resulting in
serious and persistent mental illness (SPMI) and sometimes even suicide, advanced and real-time remote
monitoring of the state of mental health would be an important indicator. This tool provides timely intervention
that addresses OUD and further averts the progression of SPMI as well as suicidal tendencies.
Terms: <AI based model><AI model><Access to Care><Address><Adherence><Affect><Age><Annual Reports><Anxiety><Armed Forces Personnel><Award><Behavior><Behavior monitoring><Behavioral><COVID crisis><COVID epidemic><COVID pandemic><COVID-19 crisis><COVID-19 epidemic><COVID-19 era><COVID-19 global health crisis><COVID-19 global pandemic><COVID-19 health crisis><COVID-19 pandemic><COVID-19 period><COVID-19 public health crisis><COVID-19 years><Caring><Cell Phone><Cellular Phone><Cellular Telephone><Centers for Disease Control><Centers for Disease Control and Prevention><Centers for Disease Control and Prevention (U.S.)><Clinical Research><Clinical Study><Collection><Coupling><Cues><Data><Data Reporting><Data Set><Development><Economic Income><Economical Income><Education><Educational aspects><Epidemic><Event><Face><Feeling suicidal><Gender Identity><General Population><General Public><Goals><Health Services Accessibility><High Prevalence><Human><Incidence><Income><Individual><Injury><Intelligence><Intervention><Intervention Strategies><Learning><Life><Literature><Machine Learning><Mental Health><Mental Hygiene><Methodology><Military><Military Personnel><Mobile Phones><Modeling><Modern Man><Monitor><Opiate Addiction><Opiate Dependence><Opiates><Opioid><Outcome><Overdose><PTSD><Pain><Painful><Patient Self-Report><Patients><Performance><Periodicals><Personal Satisfaction><Persons><Phase><Physiologic><Physiologic Monitoring><Physiological><Physiological Monitoring><Physiology><Population><Post-Traumatic Neuroses><Post-Traumatic Stress Disorders><Posttraumatic Neuroses><Precision care><Process><Production><Psychological Health><Public Health><Race><Races><Recovery><Relapse><Reporting><Resistance><Risk><SAMHSA><SARS-CoV-2 epidemic><SARS-CoV-2 global health crisis><SARS-CoV-2 global pandemic><SARS-CoV-2 pandemic><SARS-coronavirus-2 epidemic><SARS-coronavirus-2 pandemic><SBIR><Safety><Self-Report><Severe Acute Respiratory Syndrome CoV 2 epidemic><Severe Acute Respiratory Syndrome CoV 2 pandemic><Severe acute respiratory syndrome coronavirus 2 epidemic><Severe acute respiratory syndrome coronavirus 2 pandemic><Small Business Innovation Research><Small Business Innovation Research Grant><Stress><Substance Abuse and Mental Health Services Administration><Substance Use Disorder><Suicidal thoughts><Suicide><Suicide precaution><Suicide prevention><Survey Instrument><Surveys><System><Technology><Time><Training><Treatment Efficacy><Treatment Protocols><Treatment Regimen><Treatment Schedule><Trust><United States><United States Centers for Disease Control><United States Centers for Disease Control and Prevention><United States Substance Abuse and Mental Health Services Administration><Veterans><Work><Wrist><access to health services><access to services><access to treatment><accessibility to health services><addiction><addictive disorder><ages><artificial intelligence model><artificial intelligence-based model><assess effectiveness><availability of services><behavior change><behavioral monitoring><care access><care providers><career><chronic mental illness><chronic pain><cloud platform><cloud server><co-morbid><co-morbidity><combat><comorbidity><computer based prediction><coronavirus disease 2019 crisis><coronavirus disease 2019 epidemic><coronavirus disease 2019 global health crisis><coronavirus disease 2019 global pandemic><coronavirus disease 2019 health crisis><coronavirus disease 2019 pandemic><coronavirus disease 2019 public health crisis><coronavirus disease crisis><coronavirus disease epidemic><coronavirus disease pandemic><coronavirus disease-19 global pandemic><coronavirus disease-19 pandemic><craving><data captured from wearables><data collected from wearables><data collected using wearables><data gathered from wearable><data gathered through wearables><data gathered via wearable><data representation><data representations><design><designing><determine effectiveness><developmental><drug craving><effectiveness assessment><effectiveness evaluation><evaluate effectiveness><examine effectiveness><faces><facial><fatal attempt><fatal suicide><first responder><health service access><health services availability><help seeking><help-seeking behavior><high risk><iPhone><improved><incomes><individualized care><individualized patient care><injuries><insight><intent to die><intervention efficacy><interventional strategy><machine based learning><machine learning based model><machine learning model><mental state><mental status><military population><military veteran><mortality><non-medical opioid use><nonmedical opioid use><novel><operation><operations><opiate consumption><opiate crisis><opiate drug use><opiate intake><opiate misuse><opiate overdose><opiate related overdose><opiate use><opiate use disorder><opioid addiction><opioid consumption><opioid crisis><opioid dependence><opioid dependent><opioid drug overdose><opioid drug use><opioid epidemic><opioid induced overdose><opioid intake><opioid intoxication><opioid medication overdose><opioid misuse><opioid overdose><opioid poisoning><opioid related overdose><opioid toxicity><opioid use><opioid use disorder><overdose death><overdose fatalities><peer support><periodic><periodical><persistent mental illness><personalized care><personalized patient care><post-trauma stress disorder><posttrauma stress disorder><predictive modeling><prevent relapse><prevent suicidality><prevent suicide><programs><racial><racial background><racial origin><relapse prevention><remote intervention><remote monitoring><research study><resistant><seal><serious mental disorder><serious mental illness><service availability><severe acute respiratory syndrome coronavirus 2 global health crisis><severe acute respiratory syndrome coronavirus 2 global pandemic><severe mental disorder><severe mental illness><smart phone><smartphone><social><social stigma><software as a service><stigma><stressor><substance misuse><substance use><substance use and disorder><substance using><suicidal><suicidal ideation><suicidal thinking><suicidality><suicidality prevention><suicide ideation><suicide intervention><suicide rate><suicides><support network><therapeutic efficacy><therapy efficacy><thoughts about suicide><tool><traumatic neurosis><treatment access><veteran population><wearable><wearable data><wearable device><wearable device data><wearable electronics><wearable sensor data><wearable system><wearable technology><wearable tool><wearables><well-being><wellbeing>