What Your Smartphone Knows That Your Mother Doesn’t
Can Your Smartphone Be Used to Detect Depression?
It’s always there, in your pocket or purse or on your desk, quietly collecting information. And apparently, when it comes to depression, there’s quite a lot your smartphone knows about you.
According to a small study from Northwestern Medicine, that data from your smartphone can predict with eerie 87 percent accuracy whether you’re suffering from depression or not.
The telling signs: You spend more time on your smartphone and less time leaving the house, and you visit very few places each day.
Related: Smartphone Notifications Are Killing Our Concentration
The researchers used Craigslist to find 40 test subjects between the ages of 19 and 58, and outfitted their smartphones with an app to monitor their location and usage. The individuals took a questionnaire that measured signs of depression; half of the subjects had troubling symptoms and half did not. Using GPS, the phones tracked the subjects’ movements and locations every five minutes. The subjects also were asked questions about their mood at different points during the day.
These factors were then correlated with the test subjects’ original depression test scores. And the results were uncanny. Depressed people used their phones more often and for longer periods of time —an average of 68 minutes a day. By comparison, the individuals who didn’t show signs of depression spent only 17 minutes on theirs. Researchers attributed the increased use of the phone to task avoidance, another symptom of depressed people.
Perhaps more significant than the findings of this small study — only 28 of the 40 subjects had enough data to be studied — is the potential the researchers felt that smartphones could play in future medical diagnosis.
When loaded up with the correct sensors, the smartphone can be used to detect a person’s emotional states, and monitor moods, without the user having to utter a word. It also has the ability to offer suggestions to reinforce positive behaviors when depression is detected. The results of the study were published in the Journal of Medical Internet Research yesterday, but one conclusion was becoming increasingly evident even before the report came out: Smartphones — and the sensors they now contain — just keep getting smarter.
Tax Refunds Rebound
Smaller refunds in the first few weeks of the current tax season were shaping up to be a political problem for Republicans, but new data from the IRS shows that the value of refund checks has snapped back and is now running 1.3 percent higher than last year. The average refund through February 23 last year was $3,103, while the average refund through February 22 of 2019 was $3,143 – a difference of $40. The chart below from J.P. Morgan shows how refunds performed over the last 3 years.
Number of the Day: $22 Trillion
The total national debt surpassed $22 trillion on Monday. Total public debt outstanding reached $22,012,840,891,685.32, to be exact. That figure is up by more than $1.3 trillion over the past 12 months and by more than $2 trillion since President Trump took office.
Chart of the Week: The Soaring Cost of Insulin
The cost of insulin used to treat Type 1 diabetes nearly doubled between 2012 and 2016, according to an analysis released this week by the Health Care Cost Institute. Researchers found that the average point-of-sale price increased “from $7.80 a day in 2012 to $15 a day in 2016 for someone using an average amount of insulin (60 units per day).” Annual spending per person on insulin rose from $2,864 to $5,705 over the five-year period. And by 2016, insulin costs accounted for nearly a third of all heath care spending for those with Type 1 diabetes (see the chart below), which rose from $12,467 in 2012 to $18,494.
Chart of the Day: Shutdown Hits Like a Hurricane
The partial government shutdown has hit the economy like a hurricane – and not just metaphorically. Analysts at the Committee for a Responsible Federal Budget said Tuesday that the shutdown has now cost the economy about $26 billion, close to the average cost of $27 billion per hurricane calculated by the Congressional Budget Office for storms striking the U.S. between 2000 and 2015. From an economic point of view, it’s basically “a self-imposed natural disaster,” CRFB said.
Chart of the Week: Lowering Medicare Drug Prices
The U.S. could save billions of dollars a year if Medicare were empowered to negotiate drug prices directly with pharmaceutical companies, according to a paper published by JAMA Internal Medicine earlier this week. Researchers compared the prices of the top 50 oral drugs in Medicare Part D to the prices for the same drugs at the Department of Veterans Affairs, which negotiates its own prices and uses a national formulary. They found that Medicare’s total spending was much higher than it would have been with VA pricing.
In 2016, for example, Medicare Part D spent $32.5 billion on the top 50 drugs but would have spent $18 billion if VA prices were in effect – or roughly 45 percent less. And the savings would likely be larger still, Axios’s Bob Herman said, since the study did not consider high-cost injectable drugs such as insulin.
