Lifestyle choices could raise your health insurance rates
Table of Contents
- >> Sreenivasan: WHAT YOU PAY FOR HEALTH INSURANCE IS INCREASINGLY...
- >> WELL, THAT'S A GOOD QUESTION, HARI.
- EVEN SOCIAL MEDIA INTERACTIONS. THEY'RE GATHERING THOSE.
- MONTHS SHE MAY HAVE RECENTLY GOTTEN MARRIED OR MAYBE SHE...
- WHICH COULD ALSO LEAD TO HIGHER HEALTH CARE COSTS.
- PORTION OF YOUR DATA, AND YOU KNOW.
00:00
>> Sreenivasan: WHAT YOU PAY FOR
HEALTH INSURANCE IS INCREASINGLY
A COMPLEX WEB OF FORMULAS.
AND NOW, YOUR PERSONAL DATA--
EVERYTHING FROM WHERE YOU LIVE,
TO WHAT CLOTHING YOU BUY, TO
YOUR MAGAZINE SUBSCRIPTIONS--
MAY FACTOR INTO WHAT YOU PAY OR
WHETHER YOU GET COVERAGE AT ALL.
IN A SERIES OF REPORTS CO-
PUBLISHED WITH NPR, THE
INVESTIGATIVE NON-PROFIT NEWS
ORGANIZATION PRO PUBLICA IS
LOOKING INTO THE STRATEGIES
INSURANCE COMPANIES ARE USING.
AND JOINING US NOW FROM DENVER
IS PRO PUBLICA REPORTER MARSHALL
ALLEN.
MARSHALL, FIRST, WHAT SORTS OF
DATA ARE THEY LOOKING AT?
AND WHAT SORT OF INFERENCES CAN
THEY MAKE FROM THAT?
00:33
>> WELL, THAT'S A GOOD QUESTION,
HARI.
THEY'RE LOOKING AT ALL DIFFERENT
TYPES OF PERSONAL AND
PROPRIETARY AND PUBLIC
INFORMATION.
THE KINDS OF THINGS THAT PEOPLE
WOULD NORMALLY ASSUME TO BE
PRIVATE.
AND I BET PROBABLY MOST OF THE
VIEWERS IN YOUR AUDIENCE RIGHT
NOW ARE HAVING THEIR DATA
GATHERED BY THE DATA BROKERS
THAT ARE TEAMING UP WITH THE
HEALTH INSURANCE COMPANIES TO
ANALYZE THIS.
AND SO THE DATA THAT THEY'RE
GATHERING WOULD INCLUDE YOUR
EDUCATION RECORD, YOUR PROPERTY
RECORDS, ANY DEBTS YOU MIGHT
HAVE, YOUR INCOME LEVEL, YOUR
RACE AND ETHNICITY.
01:04
EVEN SOCIAL MEDIA INTERACTIONS.
THEY'RE GATHERING THOSE.
SO, THEY'RE GATHERING ALL THIS
INFORMATION, AND THEY'RE PUTTING
IT INTO THESE COMPLEX COMPUTER
ALGORITHMS, AND THEN THEY'RE
SPITTING OUT PREDICTIONS ABOUT
HOW MUCH WE MIGHT COST BASED ON
ALL THESE ECONOMIC AND LIFESTYLE
ATTRIBUTES.
>> Sreenivasan: SO, GIVE ME SOME
EXAMPLES.
>> WELL, SO FOR EXAMPLE, SO SOME
OF THE INFERENCES THEY MAKE ARE
CREEPY, I GUESS.
YOU KNOW YOU COULD SAY THIS KIND
OF TURNS THE CREEPINESS LEVEL UP
A BIT.
FOR EXAMPLE, YOU KNOW, THEY CAN
TELL IF A WOMAN HAS CHANGED HER
NAME.
AND SO, THEY SAY IF A WOMAN HAS
CHANGED HER NAME IN THE LAST 24
01:36
MONTHS SHE MAY HAVE RECENTLY
GOTTEN MARRIED OR MAYBE SHE
RECENTLY GOT DIVORCED.
AND SO SHE COULD BE CONSIDERING,
YOU KNOW, GETTING PREGNANT SOON
OR MAYBE SHE'S STRESSED FROM
THAT DIVORCE AND SO SHE'S GOING
TO HAVE A LOT OF MENTAL HEALTH
CARE COSTS.
OR, YOU KNOW, IF YOU'RE A
LOW-INCOME MINORITY, THEY WOULD
ASSUME THAT YOU ARE LIVING IN A
DANGEROUS AND DILAPIDATED
NEIGHBORHOOD, AND SO YOU COULD
BE AT HIGHER RISK OF HEALTH
COST.
OR ANOTHER ONE IS IF A WOMAN HAS
BOUGHT PLUS-SIZE CLOTHING, THEY
WOULD PREDICT THAT SHE MIGHT BE
MORE LIKELY TO BE DEPRESSED,
02:08
WHICH COULD ALSO LEAD TO HIGHER
HEALTH CARE COSTS.
SO THESE ARE THINGS THAT THEY'RE
LOOKING AT, TRENDS IN THE DATA
FOR GROUPS OF PEOPLE, AND THEN
THEY'RE ATTRIBUTING THE
INFERENCES TO INDIVIDUALS WITHIN
THAT GROUP, AND KIND OF ONE OF
THE FUNDAMENTAL PROBLEMS IS THAT
FOR ANY INDIVIDUAL, THIS COULD
JUST BE WRONG.
>> Sreenivasan: AND SO WHAT IF
THEY'RE WRONG ABOUT THIS?
YOU'RE STILL GOING TO BE FALLING
INTO A BRACKET BASED ON THIS
GROUP, AND THE SUSPICION THAT
THEY HAVE THAT YOU ARE PART OF
IT?
>> YEAH, I MEAN THEY'RE SCORING
US AND PREDICTING OUR HEALTH
CARE COSTS BASED ON THE GROUPS
THAT WE FALL INTO.
AND SO YOU KNOW, I WENT TO
LEXISNEXIS AND OBTAINED--
THEY'LL GIVE YOU A CERTAIN
02:40
PORTION OF YOUR DATA, AND YOU
KNOW, IT WAS LIKE A CREEPY WALK
DOWN MEMORY LANE FOR ME.
YOU KNOW, THEY HAD DATA FOR ME
GOING BACK 25 YEARS TO THE
ADDRESS OF THE HOME I GREW UP IN
IN GOLDEN, COLORADO.
YOU KNOW, ALL MY OLD PHONE
NUMBERS.
AND WITH EACH OF THE ADDRESSES,
YOU KNOW, THEY HAD A LITTLE
INDICATOR THERE.
WAS THIS A HIGH RISK
NEIGHBORHOOD OR NOT?
AND YOU KNOW, I'M NOT-- I GREW
UP IN A MIDDLE CLASS KIND OF
ENVIRONMENT SO I DIDN'T GROW UP
IN ANY HIGH RISK NEIGHBORHOODS.
BUT IT MADE ME WONDER WHAT IF I
HAD.
AND WHEN I TALKED TO THE
INDUSTRY, I MEAN THEY PROMISE
03:13
THAT THEY'RE ONLY USING THIS
INFORMATION FOR THE PURPOSE OF
HELPING PEOPLE.
SO THAT WHAT THEY WOULD SAY, THE
ARGUMENT FOR DOING THIS IS THAT
THEY CAN DO BETTER CASE
MANAGEMENT.
BUT, JUST AS IT COULD BE USED
FOR GOOD, IT COULD ALSO BE USED
TO DISCRIMINATE.
AND, THE HEALTH INSURANCE
INDUSTRY HAS A LONG HISTORY OF
DISCRIMINATING AGAINST SICK
PEOPLE.
THAT STILL GOES ON TO THIS DAY.
>> Sreenivasan: MARSHALL ALLEN
OF PRO PUBLICA JOINING US FROM
DENVER TODAY.
IT IS PART OF A YEAR-LONG
REPORTING PROJECT CALLED THE
HEALTH INSURANCE HUSTLE.
YOU CAN FIND IT ON THEIR
WEBSITES.
THANKS FOR JOINING US TODAY.
>> THANK YOU, HARI.