WEBVTT - How to Buy a Better Birth

0:00:04.840 --> 0:00:08.800
<v Speaker 1>Having a baby in America is expensive. By one measure,

0:00:08.880 --> 0:00:11.240
<v Speaker 1>the average cost for a normal delivery in the United

0:00:11.280 --> 0:00:15.320
<v Speaker 1>States is eleven thousand dollars. That's more than twice as

0:00:15.400 --> 0:00:18.759
<v Speaker 1>much as in Switzerland. It's even more expensive than the

0:00:18.800 --> 0:00:21.840
<v Speaker 1>deluxe suite in the private wing of a London hospital

0:00:22.200 --> 0:00:25.240
<v Speaker 1>where Kate Middleton and other British royals have given birth,

0:00:26.040 --> 0:00:29.480
<v Speaker 1>and in the US the price can vary wildly depending

0:00:29.520 --> 0:00:32.680
<v Speaker 1>on what hospital you go to, even within the same city.

0:00:34.000 --> 0:00:35.839
<v Speaker 1>You might think that the high price would mean the

0:00:35.880 --> 0:00:39.520
<v Speaker 1>care is superior, but that's not the case. The United

0:00:39.520 --> 0:00:42.760
<v Speaker 1>States healthcare system has alarming rates of poor outcomes for

0:00:42.880 --> 0:00:48.840
<v Speaker 1>mothers and their newborns. Welcome to Prognosis, Bloomberg's podcast about

0:00:48.840 --> 0:00:52.360
<v Speaker 1>the future of health care. I'm your host Michelle fay cortes.

0:00:53.400 --> 0:00:56.280
<v Speaker 1>Americans pay higher prices than people in other countries for

0:00:56.360 --> 0:01:00.560
<v Speaker 1>similar medical services, and the most expensive services is are

0:01:00.680 --> 0:01:04.840
<v Speaker 1>not necessarily the best. Bloomberg News health reporter John Tazzi

0:01:04.959 --> 0:01:07.400
<v Speaker 1>looked at one health plan that's trying to use the

0:01:07.560 --> 0:01:10.360
<v Speaker 1>millions of dollars it spends each year on births to

0:01:10.440 --> 0:01:21.040
<v Speaker 1>lower costs and improve outcomes from others. Sarah Rothstein pays

0:01:21.080 --> 0:01:24.520
<v Speaker 1>for a lot of babies. Well, she doesn't pay herself,

0:01:24.880 --> 0:01:27.560
<v Speaker 1>but the health plan she runs does. My name is

0:01:27.560 --> 0:01:30.600
<v Speaker 1>Sarah Rothstein, from the director of the thirty two Health Fund.

0:01:31.160 --> 0:01:33.560
<v Speaker 1>That's a big union health plan based in New York.

0:01:33.959 --> 0:01:37.800
<v Speaker 1>It's affiliated with the Service Employees International Union. So our

0:01:37.880 --> 0:01:42.080
<v Speaker 1>union members are office cleaners, their security guards. They're building

0:01:42.160 --> 0:01:46.720
<v Speaker 1>doormen and women building maintenance people. The union negotiates contracts

0:01:46.800 --> 0:01:49.840
<v Speaker 1>with employers on behalf of its members. As part of

0:01:49.880 --> 0:01:53.560
<v Speaker 1>those contracts, employers contribute money to the health fund to

0:01:53.640 --> 0:01:56.920
<v Speaker 1>pay for workers medical care. If you live in a

0:01:56.960 --> 0:02:00.760
<v Speaker 1>big Manhattan apartment building or your company rents office space

0:02:00.840 --> 0:02:03.800
<v Speaker 1>in the city, you're probably paying for some of the

0:02:03.880 --> 0:02:07.840
<v Speaker 1>union's medical expenses. The thirty two b J Health Fund

0:02:07.960 --> 0:02:11.480
<v Speaker 1>spends more than a billion dollars each year on medical care.

0:02:12.120 --> 0:02:15.920
<v Speaker 1>It covers about two hundred thousand people, both union members

0:02:15.960 --> 0:02:19.680
<v Speaker 1>and their families, and every year some of those people

0:02:19.800 --> 0:02:23.640
<v Speaker 1>have babies, And in our plan we pay for about

0:02:24.400 --> 0:02:27.480
<v Speaker 1>births a year, nearly a thousand of which are in

0:02:27.680 --> 0:02:30.799
<v Speaker 1>downstate New York and in New Jersey. Having a baby

0:02:31.000 --> 0:02:34.560
<v Speaker 1>is the top reason for planned hospital admissions among members

0:02:34.600 --> 0:02:37.120
<v Speaker 1>of the thirty two b J plan, and the fund

0:02:37.320 --> 0:02:40.239
<v Speaker 1>spends more than twenty million dollars a year on those births.

0:02:41.280 --> 0:02:44.560
<v Speaker 1>The fund hires an outside company that administers its plan,

0:02:44.919 --> 0:02:47.679
<v Speaker 1>but the fund pays the expense of medical care itself,

0:02:48.400 --> 0:02:51.120
<v Speaker 1>so Sarah wants to keep costs in check while getting

0:02:51.120 --> 0:02:55.000
<v Speaker 1>the best care for plan members in Sarah and her

0:02:55.040 --> 0:02:59.280
<v Speaker 1>team started analyzing the funds data on childbirth, and they

0:02:59.320 --> 0:03:03.520
<v Speaker 1>found two big surprises. Sarah told me about it recently

0:03:03.639 --> 0:03:07.640
<v Speaker 1>in her office on Eighteenth Street in Manhattan. The first

0:03:07.680 --> 0:03:11.640
<v Speaker 1>big surprise was that prices for childbirth were all over

0:03:11.680 --> 0:03:14.000
<v Speaker 1>the map. We could be paying ten thousand dollars or

0:03:14.000 --> 0:03:16.400
<v Speaker 1>we could be paying thirty thousand dollars, depending on the

0:03:16.400 --> 0:03:22.600
<v Speaker 1>hospital that someone had their baby at, same procedure, same procedure,

0:03:23.360 --> 0:03:27.799
<v Speaker 1>same region, same health plan. The difference in costs rang

0:03:28.080 --> 0:03:31.880
<v Speaker 1>from about ten thousand dollars to about thirty thousand dollars

0:03:31.919 --> 0:03:35.640
<v Speaker 1>just for a vaginal delivery. Sarah says Union members were

0:03:35.680 --> 0:03:38.320
<v Speaker 1>also surprised. They said, you know, we assume that some

0:03:38.400 --> 0:03:40.960
<v Speaker 1>hospitals would cost a little bit more. Maybe they're in

0:03:41.000 --> 0:03:45.080
<v Speaker 1>a nice location, maybe the facilities look a little bit nicer.

0:03:45.400 --> 0:03:48.160
<v Speaker 1>But when you have some hospitals charging so much more

0:03:48.200 --> 0:03:51.040
<v Speaker 1>than others. That makes us feel like we're being ripped off.

0:03:51.400 --> 0:03:54.560
<v Speaker 1>The second thing Sarah discovered was that the plan had

0:03:54.600 --> 0:03:57.840
<v Speaker 1>a really big problem with the quality of maternity care.

0:03:58.320 --> 0:04:04.000
<v Speaker 1>Women giving birth experience serious, unexpected problems such as blood transfusions,

0:04:04.240 --> 0:04:07.680
<v Speaker 1>kidney failure, or heart failure twice as often as the

0:04:07.760 --> 0:04:11.240
<v Speaker 1>national average. She also found that women on the plan

0:04:11.440 --> 0:04:15.600
<v Speaker 1>experienced a high rate of episiotomys. That's an incision to

0:04:15.680 --> 0:04:19.479
<v Speaker 1>widen the vaginal opening. Experts say it should happen in

0:04:19.560 --> 0:04:23.000
<v Speaker 1>only about five of births, but a quarter of the

0:04:23.040 --> 0:04:26.640
<v Speaker 1>births that thirty two b J paid for involved epsiotomys,

0:04:27.200 --> 0:04:31.480
<v Speaker 1>and of the deliveries were cesarean sections where the baby

0:04:31.560 --> 0:04:35.320
<v Speaker 1>is surgically removed through the mother's abdomen. C sections are

0:04:35.440 --> 0:04:40.720
<v Speaker 1>riskier and more expensive than vaginal births. Sarah was stunned

0:04:41.600 --> 0:04:45.040
<v Speaker 1>the hospitals where her members were giving birth build themselves

0:04:45.120 --> 0:04:49.880
<v Speaker 1>as world class medical institutions. We have several academic medical

0:04:49.960 --> 0:04:52.160
<v Speaker 1>centers in New York. We have a lot of high

0:04:52.240 --> 0:04:55.839
<v Speaker 1>quality care in New Jersey, and hospitals that advertise themselves

0:04:55.880 --> 0:04:59.520
<v Speaker 1>as providing only the highest quality care and only care

0:04:59.600 --> 0:05:02.800
<v Speaker 1>that's my really necessary, but the hospitals didn't seem to

0:05:02.839 --> 0:05:06.320
<v Speaker 1>measure up to those promises, and so it was really

0:05:06.360 --> 0:05:09.360
<v Speaker 1>shocking to us to see that the hospitals that are

0:05:09.400 --> 0:05:12.760
<v Speaker 1>members were using, which advertise themselves as some of the

0:05:12.760 --> 0:05:17.000
<v Speaker 1>best quality hospitals in the country, aren't necessarily the safest

0:05:17.000 --> 0:05:21.720
<v Speaker 1>for our members. Sarah found costs that varied widely among hospitals,

0:05:22.120 --> 0:05:25.880
<v Speaker 1>and he found big quality problems, and the most expensive

0:05:25.920 --> 0:05:33.280
<v Speaker 1>care wasn't necessarily better. What we've been finding after reviewing

0:05:33.320 --> 0:05:35.640
<v Speaker 1>a number of episodes is that there is not a

0:05:35.680 --> 0:05:39.160
<v Speaker 1>correlation between cost and quality. So higher cost doesn't mean

0:05:39.240 --> 0:05:43.400
<v Speaker 1>higher quality, lower cost doesn't mean lower quality. This isn't

0:05:43.440 --> 0:05:46.240
<v Speaker 1>just a problem when it comes to maternity care, and

0:05:46.320 --> 0:05:48.560
<v Speaker 1>it's not just a problem for the thirty two b

0:05:48.720 --> 0:05:52.000
<v Speaker 1>J Fund. Across the health care system, the price of

0:05:52.080 --> 0:05:58.040
<v Speaker 1>care doesn't reflect how good the care is. Let's step

0:05:58.080 --> 0:06:00.480
<v Speaker 1>back for a minute to consider how health care prices

0:06:00.520 --> 0:06:04.279
<v Speaker 1>are set in the United States. Some prices are set

0:06:04.320 --> 0:06:08.160
<v Speaker 1>by the government and programs like Medicare and Medicaid. These

0:06:08.160 --> 0:06:12.000
<v Speaker 1>public programs are giant purchasers of health care. They spend

0:06:12.200 --> 0:06:16.000
<v Speaker 1>hundreds of billions of dollars a year. They have a

0:06:16.040 --> 0:06:19.039
<v Speaker 1>lot of buying power, so the government can decide how

0:06:19.120 --> 0:06:23.000
<v Speaker 1>much to pay. On the other hand, if you're one

0:06:23.040 --> 0:06:26.240
<v Speaker 1>of the twenty eight million Americans with no health insurance,

0:06:26.600 --> 0:06:30.360
<v Speaker 1>you have zero buying power. The supplier of medical care,

0:06:30.640 --> 0:06:34.000
<v Speaker 1>a hospital or doctor, can set their prices as high

0:06:34.040 --> 0:06:38.000
<v Speaker 1>as they like. Unless you qualify for a charitable discount.

0:06:38.320 --> 0:06:44.400
<v Speaker 1>That's the price, and you're stuck with it. Private health plans,

0:06:44.480 --> 0:06:46.960
<v Speaker 1>like the thirty two b J Health Fund exists in

0:06:47.040 --> 0:06:51.680
<v Speaker 1>between these two extremes. Employers and unions higher health insurance

0:06:51.680 --> 0:06:56.160
<v Speaker 1>companies to negotiate with medical providers. The prices they pay

0:06:56.279 --> 0:06:59.480
<v Speaker 1>are higher than what the government pays because these groups

0:06:59.640 --> 0:07:03.480
<v Speaker 1>don't have as much buying power, but private health plans

0:07:03.600 --> 0:07:06.400
<v Speaker 1>usually pay less than what a hospital would charge someone

0:07:06.520 --> 0:07:10.560
<v Speaker 1>with no insurance at all. Each of these negotiations between

0:07:10.600 --> 0:07:15.400
<v Speaker 1>health plans and medical providers is separate and hidden. The

0:07:15.440 --> 0:07:19.040
<v Speaker 1>Trump administration is trying to force hospitals and insurers to

0:07:19.200 --> 0:07:24.520
<v Speaker 1>make their privately negotiated prices public. The industry is fighting

0:07:24.520 --> 0:07:28.840
<v Speaker 1>the plan. Hospitals and insurers want to keep these rates secret.

0:07:29.360 --> 0:07:32.880
<v Speaker 1>They argue that their contracts are private and revealing the

0:07:32.960 --> 0:07:37.760
<v Speaker 1>details could actually put costs up. Some experts say this

0:07:37.960 --> 0:07:41.280
<v Speaker 1>lack of transparency contributes to a lot of the crazy

0:07:41.320 --> 0:07:44.200
<v Speaker 1>price differences that we see in healthcare. But if you

0:07:44.320 --> 0:07:49.520
<v Speaker 1>look at how much c sections costs, both nationally and

0:07:49.640 --> 0:07:54.200
<v Speaker 1>in any given city, there's a huge range, from as

0:07:54.240 --> 0:07:58.280
<v Speaker 1>low as four or five thousand dollars in Knoxville, Tennessee,

0:07:58.640 --> 0:08:03.640
<v Speaker 1>to as high as forty dollars in San Francisco. This

0:08:03.800 --> 0:08:08.120
<v Speaker 1>is Nile Brennan. I'm the CEO of the Healthcare Cost Institute.

0:08:08.640 --> 0:08:12.160
<v Speaker 1>Nile's research group analyzes data from health in turns companies

0:08:12.240 --> 0:08:16.240
<v Speaker 1>to better understand costs. The data is anonymized, so you

0:08:16.280 --> 0:08:21.560
<v Speaker 1>can identify patients, inferers, or particular hospitals. But Nile can

0:08:21.560 --> 0:08:24.480
<v Speaker 1>look at the prices that inferrors pay hospitals in the

0:08:24.520 --> 0:08:28.560
<v Speaker 1>private market, the amount of money that actually changes hands. Then,

0:08:28.560 --> 0:08:32.240
<v Speaker 1>if you look at San Francisco, just the San Francisco area,

0:08:33.440 --> 0:08:36.520
<v Speaker 1>the price of a C section can range from fifteen

0:08:36.559 --> 0:08:41.720
<v Speaker 1>thousand dollars to again forty dollars. Just like Sarah found

0:08:41.760 --> 0:08:45.400
<v Speaker 1>in New York, prices are all over the place. In

0:08:45.440 --> 0:08:48.840
<v Speaker 1>a functioning market, Nile says, buyers would gravitate to the

0:08:48.880 --> 0:08:55.839
<v Speaker 1>lower priced services. So imagine a world where uh computer

0:08:56.160 --> 0:09:00.000
<v Speaker 1>or a Toyota camray you know, could range from fifty

0:09:00.200 --> 0:09:06.559
<v Speaker 1>thousand dollars. There would be absolute outrage, right and everybody

0:09:06.559 --> 0:09:12.319
<v Speaker 1>would you know, flock to the fifteen dollar problems. Even

0:09:12.360 --> 0:09:16.160
<v Speaker 1>simple commodity services like basically ab tests that are performed

0:09:16.240 --> 0:09:20.840
<v Speaker 1>all the time don't have standard prices. We found that

0:09:21.040 --> 0:09:26.520
<v Speaker 1>the prices of blood tests in our data varied from

0:09:26.600 --> 0:09:29.719
<v Speaker 1>you know, as low as twenty or thirty dollars to

0:09:30.600 --> 0:09:35.720
<v Speaker 1>as high as you know, nine dollars nine hud dollars plus.

0:09:41.800 --> 0:09:45.080
<v Speaker 1>Healthcare providers point out that they lose money on a

0:09:45.080 --> 0:09:49.280
<v Speaker 1>lot of the patients they see. Government programs like Medicare

0:09:49.320 --> 0:09:52.760
<v Speaker 1>and Medicaid set prices, and hospitals say they often don't

0:09:52.760 --> 0:09:57.200
<v Speaker 1>pay enough to cover expenses. Hospitals also point out that

0:09:57.280 --> 0:10:00.280
<v Speaker 1>they have to treat people in emergencies regard us of

0:10:00.320 --> 0:10:03.480
<v Speaker 1>the ability to pay. The industry has to comply with

0:10:03.679 --> 0:10:07.040
<v Speaker 1>complex regulations, and it often can't control the cost of

0:10:07.080 --> 0:10:11.920
<v Speaker 1>its inputs like labor or medication. Hospitals say the higher

0:10:11.960 --> 0:10:15.600
<v Speaker 1>prices they sometimes charge to commercial health plans are necessary

0:10:15.640 --> 0:10:19.880
<v Speaker 1>to keep the doors open. The American Hospital Association points

0:10:19.880 --> 0:10:23.360
<v Speaker 1>out that the price of similar services varies among hospitals

0:10:23.480 --> 0:10:27.240
<v Speaker 1>because of factors particular to each facility and episode of care.

0:10:28.280 --> 0:10:31.840
<v Speaker 1>Some hospitals may treat patients with more complex needs or

0:10:31.880 --> 0:10:38.160
<v Speaker 1>have additional expenses related to training medical residents. The average

0:10:38.160 --> 0:10:41.280
<v Speaker 1>person who walks into a hospital or doctor's office won't

0:10:41.360 --> 0:10:44.160
<v Speaker 1>know ahead of time what they'll be charged for a

0:10:44.160 --> 0:10:48.280
<v Speaker 1>given test or procedure. You typically pay the same copay

0:10:48.480 --> 0:10:51.600
<v Speaker 1>to your health plan. If you have a deductible, you

0:10:51.640 --> 0:10:55.640
<v Speaker 1>may have to pay the entire amount, but you might

0:10:55.679 --> 0:10:58.400
<v Speaker 1>not find out that you owe nine dollars rather than

0:10:58.440 --> 0:11:01.480
<v Speaker 1>twenty dollars for the same blood test until the bill

0:11:01.679 --> 0:11:08.800
<v Speaker 1>comes weeks later. Health insurance companies could exclude high cost providers,

0:11:08.920 --> 0:11:12.040
<v Speaker 1>and sometimes they do, but they can't do that in

0:11:12.120 --> 0:11:16.000
<v Speaker 1>markets where a big hospital system dominates, and even in

0:11:16.080 --> 0:11:20.160
<v Speaker 1>more competitive markets, they're often reluctant to cut powerful providers

0:11:20.280 --> 0:11:25.040
<v Speaker 1>out of their networks. Remember, Niles data knows the amounts

0:11:25.160 --> 0:11:29.480
<v Speaker 1>that insurance companies actually pay, and it shows wild price

0:11:29.559 --> 0:11:34.560
<v Speaker 1>spreads across all the services he's looked at. C sections,

0:11:35.440 --> 0:11:43.120
<v Speaker 1>lab tests, mammograms, m ris um all exhibit in incredible

0:11:43.840 --> 0:11:50.880
<v Speaker 1>and unwarranted variation that can really only be explained by

0:11:50.880 --> 0:11:54.000
<v Speaker 1>the fact that people have realized that they can get

0:11:54.040 --> 0:11:58.360
<v Speaker 1>away with it. Some prices are higher because people can

0:11:58.400 --> 0:12:01.360
<v Speaker 1>get away with it. At the thirty two b J

0:12:01.559 --> 0:12:06.120
<v Speaker 1>Health Fund, Sarah Rothstein examined what her health plan was spending,

0:12:06.559 --> 0:12:11.319
<v Speaker 1>and she came to a similar conclusion. Our theory, um

0:12:11.360 --> 0:12:13.120
<v Speaker 1>you know, which we can't prove because we don't have

0:12:13.200 --> 0:12:16.880
<v Speaker 1>access to the contracts between the hospitals and the insurers,

0:12:17.520 --> 0:12:19.760
<v Speaker 1>is that some of the health systems are able to

0:12:19.840 --> 0:12:24.400
<v Speaker 1>use their market power to demand higher prices. Giving birth

0:12:24.520 --> 0:12:28.120
<v Speaker 1>is a more complex procedure than allowed test, but Sarah said,

0:12:28.160 --> 0:12:32.000
<v Speaker 1>the Health Fund sees variation in prices across procedures big

0:12:32.040 --> 0:12:35.840
<v Speaker 1>and small, and the Fund doesn't know how it's insurance

0:12:35.880 --> 0:12:39.880
<v Speaker 1>carrier negotiates those rates with hospitals. Unless we were to

0:12:39.960 --> 0:12:43.600
<v Speaker 1>go to the hospitals directly and negotiate a price, we

0:12:43.640 --> 0:12:46.280
<v Speaker 1>don't know how the prices are set. So, for example,

0:12:46.400 --> 0:12:49.240
<v Speaker 1>if our member has a baby at the hospital, we

0:12:49.360 --> 0:12:53.040
<v Speaker 1>don't know if there is a different price for a

0:12:53.120 --> 0:12:56.199
<v Speaker 1>vaginal delivery or a C section. We don't know if

0:12:56.200 --> 0:12:58.480
<v Speaker 1>the doctors are getting paid more if they're performing in

0:12:58.480 --> 0:13:02.160
<v Speaker 1>a psiotomy than if they aren't. The Health Fund is

0:13:02.200 --> 0:13:05.160
<v Speaker 1>paying the bills, but it doesn't know how prices are

0:13:05.160 --> 0:13:08.920
<v Speaker 1>set or whether doctors have an incentive to provide certain

0:13:09.000 --> 0:13:14.199
<v Speaker 1>types of care that could be riskier for women. And

0:13:14.440 --> 0:13:17.520
<v Speaker 1>last year, the thirty two b J Health Fund decided

0:13:17.559 --> 0:13:23.760
<v Speaker 1>to try to change that. Sarah wants to use the

0:13:23.800 --> 0:13:27.360
<v Speaker 1>health Plans buying power, the billion plus dollars it spends

0:13:27.360 --> 0:13:30.880
<v Speaker 1>on medical care every year to reward hospitals that are

0:13:30.880 --> 0:13:35.479
<v Speaker 1>providing high quality care at lower prices, and in particular,

0:13:35.840 --> 0:13:38.120
<v Speaker 1>he wants to use the plans clout in the market

0:13:38.280 --> 0:13:43.000
<v Speaker 1>to improve maternity care. The first thing the Health Fund

0:13:43.000 --> 0:13:46.240
<v Speaker 1>did was give its members an incentive to avoid the

0:13:46.320 --> 0:13:50.280
<v Speaker 1>highest cost facilities in the New York area. That began

0:13:50.400 --> 0:13:55.400
<v Speaker 1>in April. We now have preferred hospitals and non preferred hospitals,

0:13:55.400 --> 0:13:57.199
<v Speaker 1>and having a baby at a preferred hospital as a

0:13:57.240 --> 0:14:00.080
<v Speaker 1>hundred dollars, having a baby at a non prefer at

0:14:00.160 --> 0:14:02.760
<v Speaker 1>hospital is a thousand dollars, So that's a big price difference.

0:14:03.240 --> 0:14:06.760
<v Speaker 1>That wasn't just for maternity care. The health Plan told

0:14:06.760 --> 0:14:09.959
<v Speaker 1>its members that they would face thousand dollars co pays

0:14:09.960 --> 0:14:14.360
<v Speaker 1>for planned in patient services at several big hospitals such

0:14:14.360 --> 0:14:17.600
<v Speaker 1>as New York Presbyterian because it found the prices at

0:14:17.600 --> 0:14:23.080
<v Speaker 1>those facilities to be significantly higher than other hospitals. At

0:14:23.120 --> 0:14:26.920
<v Speaker 1>other facilities, such as Mount Sinai, the normal hundred dollar

0:14:27.000 --> 0:14:32.800
<v Speaker 1>copay applies. The Plan was careful to explain to members

0:14:32.880 --> 0:14:36.120
<v Speaker 1>why co pays at certain hospitals went up by so much.

0:14:37.000 --> 0:14:41.280
<v Speaker 1>One mailing showed how the plans costs compared at different hospitals.

0:14:41.840 --> 0:14:44.080
<v Speaker 1>The average cost for having a baby at a non

0:14:44.120 --> 0:14:48.840
<v Speaker 1>preferred hospital was seven thousand dollars more than at preferred hospitals.

0:14:50.280 --> 0:14:53.360
<v Speaker 1>The Plan reminded union members that their employers pay up

0:14:53.400 --> 0:14:56.960
<v Speaker 1>to twenty thousand dollars a year for healthcare, and rising

0:14:57.000 --> 0:15:05.400
<v Speaker 1>costs left less money for wages. Then last summer, Sarah

0:15:05.400 --> 0:15:07.960
<v Speaker 1>announced that the thirty two b J Plan would launch

0:15:08.040 --> 0:15:11.240
<v Speaker 1>a program to encourage its members to give birth at

0:15:11.280 --> 0:15:14.920
<v Speaker 1>the best performing hospitals, the ones that would deliver high

0:15:15.000 --> 0:15:19.720
<v Speaker 1>quality at reasonable prices. The plan calls it the Better

0:15:19.760 --> 0:15:25.120
<v Speaker 1>Birth Maternity Program. Sarah invited hospitals to apply to join it,

0:15:25.520 --> 0:15:28.240
<v Speaker 1>and to get into the program, they have to reveal

0:15:28.480 --> 0:15:32.280
<v Speaker 1>detailed information about their practices. You really wanted to get

0:15:32.400 --> 0:15:35.520
<v Speaker 1>under the hood of the data and understand what was

0:15:35.640 --> 0:15:38.600
<v Speaker 1>behind the good numbers. At the hospitals that were performing

0:15:38.640 --> 0:15:42.600
<v Speaker 1>better and how they were holding their providers accountable. UM,

0:15:42.640 --> 0:15:45.440
<v Speaker 1>so really kicking the tires to make sure they were

0:15:45.480 --> 0:15:48.600
<v Speaker 1>doing all of the hard work that leads to better

0:15:48.720 --> 0:15:51.960
<v Speaker 1>data and better outcomes. Um to make sure that it

0:15:52.000 --> 0:15:55.160
<v Speaker 1>wasn't just by luck or by hoppenstance. Sarah shared a

0:15:55.200 --> 0:15:58.040
<v Speaker 1>copy of the request that she sent to hospitals. It's

0:15:58.120 --> 0:16:02.560
<v Speaker 1>nineteen pages and includes uSens of detailed questions. It asks

0:16:02.640 --> 0:16:06.840
<v Speaker 1>about whether the hospitals limit women's health services like sterilization

0:16:07.040 --> 0:16:11.520
<v Speaker 1>or contraception. It asks if factation consultants and duels are

0:16:11.560 --> 0:16:15.160
<v Speaker 1>on staff. It asks for detailed data on the kind

0:16:15.200 --> 0:16:18.160
<v Speaker 1>of serious harm to mothers that the plan is trying

0:16:18.200 --> 0:16:21.960
<v Speaker 1>to reduce. They had to meet certain quality criteria off

0:16:22.000 --> 0:16:25.320
<v Speaker 1>the bat, and then they also had to provide us

0:16:25.360 --> 0:16:29.640
<v Speaker 1>with an enormous amount of data as well as providing

0:16:29.680 --> 0:16:33.160
<v Speaker 1>attestation that they're adhering to the best practices as set

0:16:33.200 --> 0:16:36.720
<v Speaker 1>forth by national and state organizations who have done a

0:16:36.760 --> 0:16:39.000
<v Speaker 1>lot of work to figure out what leads to higher

0:16:39.080 --> 0:16:43.440
<v Speaker 1>quality maternity care. She even asked about some things that

0:16:43.520 --> 0:16:48.200
<v Speaker 1>the hospitals hadn't looked at themselves. The funded nudged hospitals

0:16:48.240 --> 0:16:51.360
<v Speaker 1>to provide data on maternal harm in terms of race

0:16:51.400 --> 0:16:56.360
<v Speaker 1>and ethnicity. Women of color experience higher rates of maternal harm,

0:16:56.400 --> 0:16:59.200
<v Speaker 1>a fact that's drawn increasing attention in the medical world.

0:16:59.680 --> 0:17:02.640
<v Speaker 1>One of the areas for concern for US was racial

0:17:02.680 --> 0:17:07.679
<v Speaker 1>and ethnic disparities amongst maternal outcomes. Their significant data that

0:17:07.720 --> 0:17:10.560
<v Speaker 1>shows that black women are particularly at risk and other

0:17:10.600 --> 0:17:12.840
<v Speaker 1>women of color are a much higher risk for adverse

0:17:12.880 --> 0:17:15.320
<v Speaker 1>outcomes when they're having a baby. But when the Fund

0:17:15.400 --> 0:17:19.280
<v Speaker 1>asked hospitals how often women of color suffered adverse events

0:17:19.359 --> 0:17:22.639
<v Speaker 1>related to childbirth, some of them couldn't answer, and a

0:17:22.720 --> 0:17:25.600
<v Speaker 1>number of hospitals said, we want to work to do this,

0:17:25.720 --> 0:17:28.399
<v Speaker 1>will commit to getting this data to you in the future,

0:17:28.720 --> 0:17:30.480
<v Speaker 1>but we don't have the data broken out that way

0:17:30.560 --> 0:17:34.040
<v Speaker 1>as of today. And that was interesting for us to hear,

0:17:34.200 --> 0:17:37.160
<v Speaker 1>because if you're not measuring something, you can't figure out

0:17:37.200 --> 0:17:38.800
<v Speaker 1>if you have a problem or if you have to

0:17:38.880 --> 0:17:41.960
<v Speaker 1>fix it. In the fall, Sarah met in person with

0:17:42.040 --> 0:17:46.040
<v Speaker 1>hospital leaders to explain why the third QBJ Health Fund

0:17:46.200 --> 0:17:49.480
<v Speaker 1>wanted all this information and to learn more about how

0:17:49.520 --> 0:17:53.120
<v Speaker 1>the facilities tried to ensure good outcomes in their maternity care.

0:17:53.359 --> 0:17:56.359
<v Speaker 1>And so they've been good conversations. UM, we've learned a

0:17:56.359 --> 0:18:01.040
<v Speaker 1>lot about how hospitals are holding prov witers accountable, how

0:18:01.080 --> 0:18:04.720
<v Speaker 1>they're changing clinical models in their hospital, and they've learned

0:18:04.760 --> 0:18:08.160
<v Speaker 1>a lot about a purchaser who is really concerned about

0:18:08.160 --> 0:18:10.879
<v Speaker 1>the well being of its plan participants. When I spoke

0:18:10.920 --> 0:18:14.000
<v Speaker 1>to Sarah in January, the plan hadn't yet announced which

0:18:14.040 --> 0:18:17.200
<v Speaker 1>providers would be included, but thirty T b J will

0:18:17.280 --> 0:18:21.320
<v Speaker 1>soon start telling its members which hospitals, doctors and midwives

0:18:21.359 --> 0:18:24.919
<v Speaker 1>have met the standards to join the Better Birth Program,

0:18:24.960 --> 0:18:27.280
<v Speaker 1>and it will offer some perks for mothers to go

0:18:27.440 --> 0:18:30.920
<v Speaker 1>to these providers. The plan will reba the hundred dollar

0:18:31.000 --> 0:18:34.040
<v Speaker 1>copay that members would otherwise have to pay. They'll also

0:18:34.080 --> 0:18:36.680
<v Speaker 1>be a basket of stuff for mom and baby, so

0:18:37.119 --> 0:18:41.919
<v Speaker 1>mom will get a nice gown, she'll get some birds, bees, products, um,

0:18:42.080 --> 0:18:44.159
<v Speaker 1>things that will maybe make her feel a little bit

0:18:44.160 --> 0:18:46.520
<v Speaker 1>better after delivery. And then there'll be a choice of

0:18:46.520 --> 0:18:50.080
<v Speaker 1>a big thing for baby, so could be a baby carrier,

0:18:50.200 --> 0:18:53.640
<v Speaker 1>a car seat. Thirty T b J will also promote

0:18:53.680 --> 0:18:56.960
<v Speaker 1>the program to women on its plan. The Health Fund

0:18:57.040 --> 0:18:59.520
<v Speaker 1>will send mailings and emails a few times a year

0:19:00.080 --> 0:19:03.360
<v Speaker 1>directing people to a website with information about the hospitals

0:19:03.400 --> 0:19:07.120
<v Speaker 1>in the program and why they've been selected. Sarah says

0:19:07.200 --> 0:19:10.400
<v Speaker 1>that some members in focus groups said they want help

0:19:10.480 --> 0:19:14.160
<v Speaker 1>accusing the best providers, and across the board they said

0:19:14.480 --> 0:19:17.840
<v Speaker 1>they really trust us to recommend programs to them. They

0:19:17.920 --> 0:19:21.720
<v Speaker 1>also really had a range of experience in maternity care.

0:19:22.040 --> 0:19:24.240
<v Speaker 1>Some people who had had a first or second childhood

0:19:24.240 --> 0:19:28.879
<v Speaker 1>good experiences, some people had really bad experiences, and a

0:19:28.960 --> 0:19:31.199
<v Speaker 1>number of people said, I really don't know how to

0:19:31.240 --> 0:19:34.760
<v Speaker 1>get the information that I need um and would welcome

0:19:34.800 --> 0:19:38.040
<v Speaker 1>the Health Fund providing me with this information and figuring

0:19:38.080 --> 0:19:40.280
<v Speaker 1>out what are some of the good choices for me

0:19:40.359 --> 0:19:43.440
<v Speaker 1>to make. Over the next few years, Sarah and her

0:19:43.480 --> 0:19:47.000
<v Speaker 1>staff will track how many women accused to use providers

0:19:47.000 --> 0:19:50.359
<v Speaker 1>in the new program, and they'll also measure rates of

0:19:50.440 --> 0:19:54.400
<v Speaker 1>c sections. Appease theotomies and incidents of harm to mothers.

0:19:55.359 --> 0:19:59.280
<v Speaker 1>By steering members to the best, lowest cost providers, Sarah

0:19:59.280 --> 0:20:03.040
<v Speaker 1>hopes to raise the bar across the entire market. There's

0:20:03.080 --> 0:20:06.760
<v Speaker 1>a role for purchasers to really push healthcare providers on

0:20:06.920 --> 0:20:10.440
<v Speaker 1>quality that they're not necessarily being pushed by other entities,

0:20:10.800 --> 0:20:13.640
<v Speaker 1>and this helps us serve our members better as well

0:20:13.680 --> 0:20:18.400
<v Speaker 1>as the rest of the public. What the thirty two

0:20:18.400 --> 0:20:21.720
<v Speaker 1>b J Fund is doing is unusual, but it's worth

0:20:21.800 --> 0:20:27.359
<v Speaker 1>asking why it's so extraordinary. Lots of big, sophisticated companies

0:20:27.480 --> 0:20:31.520
<v Speaker 1>spend plenty of money on healthcare, they have an incentive

0:20:31.600 --> 0:20:35.280
<v Speaker 1>to spend it wisely, and they all hire insurance companies

0:20:35.359 --> 0:20:39.360
<v Speaker 1>to administer their plans. Those insurers could apply the same

0:20:39.480 --> 0:20:42.080
<v Speaker 1>kind of pressure on hospitals that the thirty two b

0:20:42.200 --> 0:20:45.920
<v Speaker 1>J Fund is, but Sarah said that really hasn't happened

0:20:46.000 --> 0:20:48.919
<v Speaker 1>from Eternity Care, and even the hospitals that are interested

0:20:48.960 --> 0:20:50.959
<v Speaker 1>in participating have told us they've never been asked by

0:20:51.000 --> 0:20:54.560
<v Speaker 1>anyone for that level of quality data, which was shocking

0:20:54.600 --> 0:20:57.960
<v Speaker 1>to us. Um and a number of hospitals also said that,

0:20:58.600 --> 0:21:01.359
<v Speaker 1>you know, until recently, they themselves weren't looking at the

0:21:01.400 --> 0:21:03.960
<v Speaker 1>quality data from an Alternity Care, which was shocking to

0:21:04.040 --> 0:21:07.119
<v Speaker 1>us as well. For much of the last twenty years,

0:21:07.280 --> 0:21:09.800
<v Speaker 1>there's been a lot of talk about how Americans need

0:21:09.880 --> 0:21:14.680
<v Speaker 1>to be smarter consumers of health care. Employers raised health

0:21:14.720 --> 0:21:18.280
<v Speaker 1>insurance deductibles so people would have more skin in the

0:21:18.320 --> 0:21:23.240
<v Speaker 1>game and shop for care more carefully. They've effectively asked

0:21:23.280 --> 0:21:26.639
<v Speaker 1>individuals to use their buying power to make the market

0:21:26.680 --> 0:21:30.680
<v Speaker 1>work better, but people don't have good information on which

0:21:30.720 --> 0:21:33.919
<v Speaker 1>providers are the best or how much they cost. A

0:21:33.960 --> 0:21:37.840
<v Speaker 1>lot of the information that moms would need is hard

0:21:37.880 --> 0:21:41.280
<v Speaker 1>to get from hospitals. It's not publicly available, and even

0:21:41.280 --> 0:21:44.320
<v Speaker 1>a sophisticated consumer might have a hard time figuring out

0:21:44.359 --> 0:21:46.880
<v Speaker 1>how to wade through hundreds of data points to figure

0:21:46.920 --> 0:21:49.520
<v Speaker 1>out what the right facility is for them. And the

0:21:49.560 --> 0:21:52.960
<v Speaker 1>employers that pay for healthcare, for the most part, haven't

0:21:53.000 --> 0:21:56.719
<v Speaker 1>been doing what Sarah is doing using their own collective

0:21:56.720 --> 0:22:00.240
<v Speaker 1>buying power to try to improve the health care system.

0:22:00.240 --> 0:22:03.680
<v Speaker 1>It's ultimately our goal to have equally high quality care

0:22:03.800 --> 0:22:06.960
<v Speaker 1>and low prices everywhere so that members can go wherever

0:22:07.040 --> 0:22:10.720
<v Speaker 1>they want. But until that happens, we think it's to

0:22:10.800 --> 0:22:15.280
<v Speaker 1>our advantage and to our plan participants advantage to steer

0:22:15.359 --> 0:22:19.080
<v Speaker 1>plan participants to health care facilities that are lower cost

0:22:19.119 --> 0:22:25.640
<v Speaker 1>and high quality. Higher costs don't mean better care. There

0:22:25.680 --> 0:22:29.760
<v Speaker 1>are already some healthcare providers that deliver good care at

0:22:29.800 --> 0:22:33.800
<v Speaker 1>lower prices. Their proof that the system doesn't have to

0:22:33.840 --> 0:22:36.320
<v Speaker 1>be as expensive as it is and that it can

0:22:36.359 --> 0:22:43.880
<v Speaker 1>perform better than it often does. On this season of Prognosis,

0:22:44.240 --> 0:22:46.600
<v Speaker 1>We've looked at a lot of the ways the American

0:22:46.640 --> 0:22:50.280
<v Speaker 1>health care system is broken, how it costs too much,

0:22:50.600 --> 0:22:54.399
<v Speaker 1>and how it often fails people. It's a complicated problem

0:22:54.400 --> 0:22:58.000
<v Speaker 1>and there's no single solution, but one place to start

0:22:58.200 --> 0:23:01.200
<v Speaker 1>is with the entities were ultimately paying for a system

0:23:01.240 --> 0:23:05.399
<v Speaker 1>that doesn't work very well. A few big purchasers of

0:23:05.400 --> 0:23:09.440
<v Speaker 1>healthcare look carefully at where their dollars are going. If

0:23:09.480 --> 0:23:12.399
<v Speaker 1>more of them did, maybe we'd all feel better about

0:23:12.440 --> 0:23:31.359
<v Speaker 1>what we're paying for. And that's it for this season

0:23:31.359 --> 0:23:39.280
<v Speaker 1>of Prognosis. Thanks so much for listening. We'll be back

0:23:39.280 --> 0:23:41.840
<v Speaker 1>with the new season soon, but until then, you can

0:23:41.880 --> 0:23:44.000
<v Speaker 1>see what our health team is up to by going

0:23:44.040 --> 0:23:50.919
<v Speaker 1>to www dot Bloomberg dot com backslash Prognosis. Do you

0:23:50.920 --> 0:23:53.240
<v Speaker 1>have a story about healthcare in the US or around

0:23:53.240 --> 0:23:55.439
<v Speaker 1>the world, We want to hear from you. We're on

0:23:55.480 --> 0:23:59.040
<v Speaker 1>Twitter at bay Cortes or at Jaytaws. If you're a

0:23:59.040 --> 0:24:01.360
<v Speaker 1>fan of this episode, please take a moment to rate

0:24:01.400 --> 0:24:04.280
<v Speaker 1>and review us. It really helps new listeners find the show,

0:24:04.720 --> 0:24:08.240
<v Speaker 1>and don't forget to subscribe. This episode was produced by

0:24:08.320 --> 0:24:11.960
<v Speaker 1>Laura Carlson. Our story editor was Rick Shine. Special thanks

0:24:11.960 --> 0:24:15.480
<v Speaker 1>to Drew Armstrong Health care team leader and Francesca Levy,

0:24:15.560 --> 0:24:19.040
<v Speaker 1>whose head of podcasts at Bloomberg, thanks so much for listening.