The suicide rate in the United States has been on the rise for more than a decade. As of 2021, the last year for which CDC data is available, suicide is listed among the top 10 most common causes of death for individuals between the ages of 10-64. Suicide is the second most common cause of death for those between the ages of 10-14 and 35-34.
While there are some encouraging data points to suggest death by suicide was less frequent during the COVID-19 pandemic, between 2011 and 2021 suicide accounted for roughly 22% of all injury-related deaths – that’s more than twice the rate of homicide.
Suicide is a complex problem to solve. For starters, suicide is an overdetermined behavior. This means there are many ways in which an individual can develop a risk for suicide.
For example, some people might experience traumatic life experiences; others might have difficulty managing or regulating their emotions; some might struggle with substance use or dependence.
Unfortunately, this is far from a complete list, and most people at risk for suicide have a combination of factors contributing to their unique experience of suicide.
Further complicating things is how most treatment for suicide is delivered. Most people receiving treatment see a therapist every week or two, sometimes in combination with medication. While this type of treatment can be helpful for a great many people, some of those at greatest risk for suicide need help at times when a therapist might not be available. Likewise, people at risk for suicide sometimes miss or deny the subtle warning signs that they may be headed for a suicide-related crisis in the future.
In short, there are gaps in both our understanding of suicide risk as well as our ability to deliver treatments when and where they are needed the most.
One promising solution to these problems lies in the use of technology - specifically smartphones, smartwatches, and activity monitors. We can use these devices to help predict and respond to suicide risk. Using technology, we can address many of the limitations of traditional detection and treatment of suicide risk.
This technology uses a camera to observe how a person’s eye looks at images on a computer screen and can provide important information such as the location and amount of time an individual views part of an image.
Working with patients who have been recently hospitalized for suicide risk, our team has found that these eye movements are associated with risk for suicide attempts up to six months later.
This technology is particularly useful as it requires no feedback or response from the person observing images, meaning that it can potentially detect risks that individuals are either unaware of or unwilling to disclose to others.
Through EMA, research participants or patients install an app on their smartphones that asks a series of questions throughout the day. These questions - assessing emotions, thoughts, and behaviors - provide unique and individualized insights about a person’s life experiences.
In our research, we have asked patients who are being discharged from a behavioral health facility for suicide risk to participate in EMA for three weeks. This research has so far yielded two important findings:
These findings might seem obvious, however, this technology is innovative and potentially impactful as it allows us to better understand not just if, but when, individuals experience an increased risk for suicide - potentially permitting the delivery of treatments outside of the therapist’s office when they are needed the most.
These treatments, known as “ecological momentary interventions,” are a new and growing area of research, with great potential to improve our treatment of suicide risk.
A phenotype is defined as a set of behaviors that theoretically relate to an individual’s biological makeup or genetics. Through digital phenotyping, or the use of digital data to infer biological processes, data from a smartphone, smartwatch, or activity tracker sensors (e.g., motion/activity, heart rate, location, light levels, sleep, audio data, and social media and/or text messaging data) is used to construct a behavioral profile by identifying which digital data are most strongly predictive of suicidal behavior. As with eye-tracking data, the benefit of digital phenotyping is that data is collected passively, without the knowledge of the person being profiled.
Despite the benefits, the use of technology to predict and track human behavior such as suicide also has enormous potential for abuse. Social media companies such as Facebook, Instagram, and TikTok have been criticized by consumer groups and scientists for using this sort of data without permission from users.
As scientists and clinicians alike embrace these promising technologies, potential patients and research participants must understand the goals of the research and consent to the collection of data.
Despite the risks, the use of technology in the prediction of suicide risk is an important and growing area of clinical research with great potential to improve treatments and save lives.
If you or a loved one has considered suicide, it’s important to seek help.
Call (844) 401-0111 or visit: https://www.butler.org/assessment
Disclaimer: While I am a doctor, I am not your doctor. The content in this blog is for informational and educational purposes only and should not serve as medical advice, consultation, or diagnosis. If you have a medical concern, please consult your healthcare provider, or seek immediate medical treatment.