WEBVTT - Maternal Mortality is Solvable

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<v Speaker 1>Pushkin. I'm Maybe Higgins and this is Solvable Interviews with

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<v Speaker 1>the world's most innovative thinkers working to solve the world's

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<v Speaker 1>biggest problems. My name is Nevine Rao. I'm the senior

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<v Speaker 1>vice president for Health and Rockefeller Foundation, and I believe

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<v Speaker 1>the crisis of maternal mortality is solvable. This episode, we're

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<v Speaker 1>hearing from doctor Nevine Rau. You just heard him there.

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<v Speaker 1>He's from the Rockefeller Foundation and he is a renowned

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<v Speaker 1>expert in safe pregnancies and healthy deliveries around the world. Now,

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<v Speaker 1>if you had to guess how many babies would you

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<v Speaker 1>say are born every day, I'll give you a second.

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<v Speaker 1>Now I cheated. I looked it up and UNISF estimates

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<v Speaker 1>that an average of wait for it, three hundred and

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<v Speaker 1>fifty three thousand babies are born each day around the world.

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<v Speaker 1>Is not incredible. It's more than four births every second,

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<v Speaker 1>and most of those they're safe for both the mother

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<v Speaker 1>and the baby. But many of those births are not.

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<v Speaker 1>In fact, nearly eight hundred and thirty women die every

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<v Speaker 1>day due to complications during pregnancy and childbirth. Now, most

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<v Speaker 1>of these deaths can be prevented through skilled care at

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<v Speaker 1>childbirth and just having access to emergency obstretric care. But

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<v Speaker 1>in Sub Saharan Africa, where maternal mortality ratios are the highest,

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<v Speaker 1>fewer than half of women are attended to by a

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<v Speaker 1>trained midwife or a nurse or a doctor during childbirth.

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<v Speaker 1>So you can probably guess that maternal deaths mirror the

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<v Speaker 1>gap between the rich and the poor. Less than one

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<v Speaker 1>percent of maternal deaths happen in wealthy countries. But I

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<v Speaker 1>wonder if you knew that America has the highest maternal

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<v Speaker 1>mortality rate of all industrial countries, in fact, by several

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<v Speaker 1>times over. Maternal and tile survival are the hallmarks of

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<v Speaker 1>healthy communities, and doctor Rown knows that. But he also

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<v Speaker 1>understands that although major advances in digital technology and data

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<v Speaker 1>science are definitely improving health intervention effectiveness, the global health

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<v Speaker 1>divide persists. All of these wonderful innovations, well, they're just

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<v Speaker 1>not reaching the poorest and most vulnerable communities. Doctor Rao

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<v Speaker 1>envisions a world where the data gap, and therefore the

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<v Speaker 1>health gap, can be bridged, and we'll hear more about

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<v Speaker 1>how he reached this thinking and also his daily work

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<v Speaker 1>towards this much better future. Let's listen to him now

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<v Speaker 1>with an apple bound What in your background led you

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<v Speaker 1>to this problem? How did you identify this as a

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<v Speaker 1>concrete problem that can be solved? And how must have

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<v Speaker 1>been about twenty five part of my training as a

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<v Speaker 1>medical student in rural India, and I remember this sixteen

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<v Speaker 1>year old girl being brought in. She had twins, and

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<v Speaker 1>these were the days when we didn't know she had twins.

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<v Speaker 1>There was no echo cardiogram, and apparently she delivered one

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<v Speaker 1>of the twins at home. It was a prolonged labor.

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<v Speaker 1>And now they brought her in to the hospital because

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<v Speaker 1>she had a second baby that was also obstructed. And

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<v Speaker 1>I remember there and helping with that, and as part

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<v Speaker 1>of that second delivery, she started bleeding and then literally

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<v Speaker 1>bled out, and I remember trying to stem the blood

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<v Speaker 1>and it's so horrific when you see blood gushing out

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<v Speaker 1>of a woman's Wigiane's just and you could see that

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<v Speaker 1>she was dying, and she knew she was dying. But

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<v Speaker 1>I never forget that, but that stayed with me. And

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<v Speaker 1>that was almost forty five years ago. And when I

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<v Speaker 1>got to America and I finished my training and was

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<v Speaker 1>a practicing physician, I was horrified to hear that this

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<v Speaker 1>problem still exists and in fact is getting worse in

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<v Speaker 1>some countries, and that even today woman died during pregnancy

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<v Speaker 1>and childbirth. The tragedy is that we know how to

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<v Speaker 1>save them. Most of the drugs and most of the

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<v Speaker 1>procedures have been in place since the nineteen forties, and

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<v Speaker 1>in some countries there is no materal mortality so to

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<v Speaker 1>speak of, and so it is solvable. It has been

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<v Speaker 1>solved in this day and age. There's some Scandinavian countries

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<v Speaker 1>that have solved it. So it is truly solvable, and

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<v Speaker 1>it has been solved. The fact that we still have

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<v Speaker 1>eight hundred women dying every day. Literally that's two jumber

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<v Speaker 1>jets crashing every day. I realized that we as a

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<v Speaker 1>human race are not going to progress unless we say

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<v Speaker 1>no to these unnecessary debts. Walk me through the nature

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<v Speaker 1>of the problem. So you say, the medical profession has

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<v Speaker 1>come up with solutions, we have ways to prevent women

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<v Speaker 1>from dying in childbirth. What is stopping people from getting

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<v Speaker 1>the healthcare that they need. I'll break it down. It's

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<v Speaker 1>very traditionally broken down into three segments. They're called three delays.

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<v Speaker 1>And this is very well researched and written about The

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<v Speaker 1>first delay is delay in seeking care. So this is

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<v Speaker 1>a delay in the woman herself going to the hospital

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<v Speaker 1>getting prenatal checkups, understanding that this needs and should be

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<v Speaker 1>a medical care and take care of her body and

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<v Speaker 1>her health, or the family also understanding that this should

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<v Speaker 1>be a delivery in the facility and that usually the

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<v Speaker 1>feeling in these villagers is the mother in law saying, look,

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<v Speaker 1>I delivered your husband in that back room. You go

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<v Speaker 1>and do it. We're not going to spend money on

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<v Speaker 1>hospitals doctors, and by the way, you still have to

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<v Speaker 1>sweep the barn and make the cows. So the first

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<v Speaker 1>delay is in seeking care even is a huge delay.

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<v Speaker 1>And the second delay is getting to care. So they

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<v Speaker 1>have realized, okay, they have done that, they've gone and

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<v Speaker 1>seen and had some prenatal checkups, but they have not

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<v Speaker 1>planned for how they're going to get to care. Either

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<v Speaker 1>they have not don't have the money at the last

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<v Speaker 1>minute to pay for the automobile the taxi, or they're

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<v Speaker 1>no ambulances, or even in certain parts such as Zambia,

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<v Speaker 1>if the flash floods have come and the road is

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<v Speaker 1>washed out, there's no way to get to care. So

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<v Speaker 1>the second delay is in getting to care. And the

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<v Speaker 1>third delay is receiving care. So there sometimes they do

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<v Speaker 1>that and they come and at the hospital there is

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<v Speaker 1>either no alexity, there's no medication, there's no train doctor,

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<v Speaker 1>there's no anesthesia, there no facilities, And so the third

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<v Speaker 1>delay isn't receiving care. And so it's not just enough

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<v Speaker 1>for us to say, oh, okay, we'll make sure they're ambulances,

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<v Speaker 1>because if they don't get into the ambulance, it's meaningless.

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<v Speaker 1>And or if they say, we say, we'll just put

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<v Speaker 1>dication and we'll train doctors, but if you haven't done

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<v Speaker 1>the community outreach to make them want to come, it's meaningless.

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<v Speaker 1>So really all three delays need to be addressed together.

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<v Speaker 1>And usually most of these women die a combination of

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<v Speaker 1>the delays. Most often it's all three. So maybe can

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<v Speaker 1>you give me some idea of what we're talking about

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<v Speaker 1>in terms of numbers how many women die annually, but

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<v Speaker 1>also how have those numbers been reduced in recent years,

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<v Speaker 1>and how do you foresee them being reduced further in

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<v Speaker 1>the next ten or twenty or thirty years. The goal

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<v Speaker 1>is to reach preventable maternal mortality, to reduce it down

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<v Speaker 1>to seventy by twenty thirty. I mean, no death is acceptable,

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<v Speaker 1>but seventy is a number that the world has put

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<v Speaker 1>us taken the ground saying, if we can make sure

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<v Speaker 1>every country comes down to seventy, that would be achievable.

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<v Speaker 1>Some countries today that number is five and in some

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<v Speaker 1>countries that number five thousand, and so we have made

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<v Speaker 1>huge progress in the last ten years. We've halfd metal

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<v Speaker 1>mortality as a world, but we're still very far away

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<v Speaker 1>from the seventy number. And the business is usual as

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<v Speaker 1>the rates of reduction as we see it now will

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<v Speaker 1>not get us to that number of seventy metal mortality.

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<v Speaker 1>So there has been a huge progress, but the rate

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<v Speaker 1>of reduction is not enough to get us where we

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<v Speaker 1>want to go. Those are the numbers. And currently, as

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<v Speaker 1>I said, eight hundred women die every day in the world,

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<v Speaker 1>and by the way, seven hundred women die every year

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<v Speaker 1>here in the US. It's almost two deaths a day. Wow.

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<v Speaker 1>So how do you overcome this first barrier? How do

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<v Speaker 1>you convince people to come to appointments, to come to hospitals.

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<v Speaker 1>How do you get them used to the idea that

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<v Speaker 1>birth is not something that takes place at home. So

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<v Speaker 1>if you take India as an example. They have done

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<v Speaker 1>a huge outreach to including conditional cash transfers to community

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<v Speaker 1>health workers to bring these pregnant women into the facilities,

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<v Speaker 1>and there was a push and there's almost been an

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<v Speaker 1>eighty percent increase in facility birth rates in India, so

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<v Speaker 1>it can be done, and behavioral change communications they've been

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<v Speaker 1>they've used local storytelling, they've used the power of pure experience,

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<v Speaker 1>so all that has worked, and in fact there's been

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<v Speaker 1>a huge increase in facility births rather than birthing at home.

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<v Speaker 1>But unfortunately that eighty percent increase in facility births has

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<v Speaker 1>not resulted in an equalent eighty percent decrease in maternal mortality.

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<v Speaker 1>The facilities were not ready for this onslaught and the

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<v Speaker 1>quality of care they were receiving or the protocols that

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<v Speaker 1>they had in place were not suffice and so they

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<v Speaker 1>did initially see the eighty percent decrease. But the way

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<v Speaker 1>India went about it is first is raising the demand,

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<v Speaker 1>using the awareness and incentivizing women to give birth in facilities,

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<v Speaker 1>including making the whole experience free, including the transportation, and

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<v Speaker 1>now are very much focused on the quality that the

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<v Speaker 1>woman will receive during that childbirth process. If you add

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<v Speaker 1>to that data analysis and data predictability and predictive analytics

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<v Speaker 1>to see which woman is a high risk and once

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<v Speaker 1>they come into the hospital and to triage them, and

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<v Speaker 1>to be able to use the latest and the best

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<v Speaker 1>in data and technology is again leads us to believe

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<v Speaker 1>this is solvable and hence is something we should be doing.

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<v Speaker 1>Tell me a little bit more about data. You know,

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<v Speaker 1>we're talking about remote communities. What kind of difference can

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<v Speaker 1>data make? How does that help doctors in rural India.

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<v Speaker 1>I have been in communities and it's amazing how the

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<v Speaker 1>advent of mobile phone technology has so penetrated even the

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<v Speaker 1>rural areas in a lighter way. They say, they probably

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<v Speaker 1>more telephones than bathrooms in India, and so the people

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<v Speaker 1>who have access to a phone more easier than electricity

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<v Speaker 1>with that kind of penetration, I have seen, say in

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<v Speaker 1>that village, in these communities, in a house, the husband

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<v Speaker 1>who's usually the farmer, the male, the man has a

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<v Speaker 1>phone and today on his phone, the farmer has a

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<v Speaker 1>weather forecasting app that tells him went to plant and

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<v Speaker 1>went to harvest. He's got an app that tells him

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<v Speaker 1>the prices of his harvest and the produce in the

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<v Speaker 1>market that day, so he knows when to sell. He

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<v Speaker 1>also has on an app transportation like the equordent of

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<v Speaker 1>the ubers, to be able to move his produce and

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<v Speaker 1>his harvest to the cities for a better price. This

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<v Speaker 1>exists today, We've seen it. And in that same house

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<v Speaker 1>is the wife who's the community health worker, and she

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<v Speaker 1>carries around six registers, does not have access to the phone,

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<v Speaker 1>has twenty families that she's seeing, has no idea how

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<v Speaker 1>to optimize her day, which household is at risk, which

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<v Speaker 1>child in her community of who she's responsible is at

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<v Speaker 1>risk for my nutrition? Why couldn't she have similar predictive

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<v Speaker 1>analytic tools like weather forecasting that would help her do

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<v Speaker 1>her job better. So it is not just the doctors

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<v Speaker 1>having access to data, It is how can the community

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<v Speaker 1>health workers, the frontline healthcare workers have predictive analytics tools

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<v Speaker 1>that will optimize their work process but also in real

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<v Speaker 1>time can give them insights and inputs on how to

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<v Speaker 1>take care of these patients, of what tests to do,

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<v Speaker 1>which ones are the triage, which ones are the ones

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<v Speaker 1>at high risk. So this could be something as simple

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<v Speaker 1>as community health workers having a kind of app on

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<v Speaker 1>their phone that could help them give advice to pregnant

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<v Speaker 1>women or help them make decisions about who needs what

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<v Speaker 1>kind of care. That would be exactly the start. From there,

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<v Speaker 1>you can envision where she could have the story of

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<v Speaker 1>her village to know if there's a huge absence of

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<v Speaker 1>children in one school in her community, she should now

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<v Speaker 1>go there to see is there a diary outbreak, what's happening?

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<v Speaker 1>Why are the children are coming to school? There are

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<v Speaker 1>so many ways we can then build on it. What

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<v Speaker 1>about doctors in these communities, how can they access data

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<v Speaker 1>and how can that make a difference to what they do?

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<v Speaker 1>So take supply chain. Most doctors in these villages, if

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<v Speaker 1>there's a primary secondary health center, the doctor in charge

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<v Speaker 1>is the superintendent of the hospital, and he or she

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<v Speaker 1>has never been trained on stock forecasting, has never been

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<v Speaker 1>trained on human resource distribution and how to supply and demand.

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<v Speaker 1>If these apps can actually in real time keep track

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<v Speaker 1>of stockouts demands, is there any way that the data

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<v Speaker 1>can give a better insight to these doctors to be

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<v Speaker 1>able to do a better supply management, better access to

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<v Speaker 1>where the crisis and they can they have an access

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<v Speaker 1>that tells them based on social media and other data inputs.

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<v Speaker 1>Where are the migrants coming from, what's happening across borders,

0:14:18.996 --> 0:14:21.556
<v Speaker 1>where is the water on area, what's happening, is there

0:14:21.596 --> 0:14:25.836
<v Speaker 1>another ebola brewing? Data can help identify hot spots and

0:14:25.956 --> 0:14:29.116
<v Speaker 1>cold spots. Cold spots could be a whole region where

0:14:29.156 --> 0:14:32.156
<v Speaker 1>children have not being immunized and nobody's kept tracked and

0:14:32.236 --> 0:14:34.676
<v Speaker 1>we don't know because they are in the blind spots.

0:14:35.196 --> 0:14:39.196
<v Speaker 1>Hot spots could be where this flash pandemics or something

0:14:39.236 --> 0:14:42.156
<v Speaker 1>brewing that we could get earlier warning. But what about

0:14:42.156 --> 0:14:46.716
<v Speaker 1>specifically to deal with the issue of maternal mortality. Is

0:14:46.756 --> 0:14:50.116
<v Speaker 1>there you know, are there particular kinds of programs or apps,

0:14:50.196 --> 0:14:51.956
<v Speaker 1>or is there a kind of data that doctors can

0:14:51.996 --> 0:14:55.836
<v Speaker 1>find particularly useful. So if the frontline healthcare worker can

0:14:55.916 --> 0:14:58.756
<v Speaker 1>find out if there is a region where women are

0:14:58.796 --> 0:15:03.476
<v Speaker 1>not coming to anti natal care for visits and could

0:15:03.476 --> 0:15:07.196
<v Speaker 1>be very easily tracked based on whether the woman has

0:15:07.436 --> 0:15:10.396
<v Speaker 1>made an anti natal visit and if she asn't, they

0:15:10.396 --> 0:15:13.236
<v Speaker 1>could even make home visits or they could encourage the

0:15:13.276 --> 0:15:16.276
<v Speaker 1>woman to come in and we know, for example, simple

0:15:16.636 --> 0:15:20.316
<v Speaker 1>antenatal visit to check for protein in the urine, blood pressure,

0:15:20.916 --> 0:15:24.956
<v Speaker 1>sugar levels make a huge difference. I've also seen an

0:15:24.956 --> 0:15:29.796
<v Speaker 1>app it's in formulation stage. It's actually the camera can

0:15:29.876 --> 0:15:34.316
<v Speaker 1>take a video. So I've seen where in India, the

0:15:34.476 --> 0:15:38.796
<v Speaker 1>healthcare worker waves this camera her cell phone over the

0:15:38.836 --> 0:15:42.076
<v Speaker 1>belly of the pregnant woman. An inside, there is an

0:15:42.116 --> 0:15:46.036
<v Speaker 1>algorithm that based on that image and that picture that's taken,

0:15:46.996 --> 0:15:51.876
<v Speaker 1>the woman's size of the pelvis is measured, and the

0:15:51.996 --> 0:15:55.956
<v Speaker 1>baby's head is measured, and an algorithm predicts whether this

0:15:55.996 --> 0:15:58.636
<v Speaker 1>will be an obstructed labor, whether the child's head is

0:15:58.636 --> 0:16:01.356
<v Speaker 1>too big for the woman's pelvis. Wow, And that can

0:16:01.356 --> 0:16:03.596
<v Speaker 1>be put in a cell phone. Yes, I've seen it.

0:16:03.596 --> 0:16:07.476
<v Speaker 1>It already exists. Inside obviously has to be finalized and commercialized,

0:16:07.516 --> 0:16:09.596
<v Speaker 1>but people are thinking that way. So if you think

0:16:09.636 --> 0:16:14.796
<v Speaker 1>about how data and applications are changing in our lives today,

0:16:14.876 --> 0:16:17.556
<v Speaker 1>there's so many people with the Apple Watch that has

0:16:17.596 --> 0:16:20.716
<v Speaker 1>the health monitor on it. What can we do if

0:16:20.756 --> 0:16:23.196
<v Speaker 1>we take that kind of mindset and those kind of

0:16:23.236 --> 0:16:26.836
<v Speaker 1>assets to the developing world to improve public health, community

0:16:26.876 --> 0:16:30.676
<v Speaker 1>health And to me, I'm using maternal mortality as a

0:16:30.756 --> 0:16:34.356
<v Speaker 1>sentinel indicator the Canadian the coal mine, so to speak,

0:16:34.636 --> 0:16:38.116
<v Speaker 1>where it tells me the status and the health of

0:16:38.156 --> 0:16:42.236
<v Speaker 1>the community, because the first ones to die, the most vulnerable,

0:16:42.356 --> 0:16:45.836
<v Speaker 1>are the pregnant woman, and if we can save them,

0:16:45.876 --> 0:16:48.676
<v Speaker 1>it means very likely we have a system in place

0:16:49.276 --> 0:16:53.396
<v Speaker 1>that is saving many people. And so these data, these

0:16:53.436 --> 0:16:56.676
<v Speaker 1>tools are needed, are needed today. They exist. Is just

0:16:56.756 --> 0:16:58.796
<v Speaker 1>that somebody has to put it together, and that's where

0:16:58.796 --> 0:17:02.196
<v Speaker 1>we are. Do you get any opposition to the use

0:17:02.236 --> 0:17:05.196
<v Speaker 1>of technology and data? Do you find that people distrusted?

0:17:05.236 --> 0:17:09.876
<v Speaker 1>Do you have people rejecting it? In the countries that

0:17:09.996 --> 0:17:12.756
<v Speaker 1>I am working on right now, I can presume it

0:17:12.756 --> 0:17:16.916
<v Speaker 1>will happen. India is putting in place draconian and much

0:17:16.996 --> 0:17:21.436
<v Speaker 1>needed and many aspects health data, privacy and security laws.

0:17:21.876 --> 0:17:24.756
<v Speaker 1>So it is coming. But right now, when we show

0:17:24.836 --> 0:17:27.436
<v Speaker 1>up and we talk about how we are helping women

0:17:27.516 --> 0:17:32.036
<v Speaker 1>survive childbirth, there is open arms and even in even

0:17:31.796 --> 0:17:36.596
<v Speaker 1>in communities. Here in the US, it's the only developed

0:17:36.596 --> 0:17:39.996
<v Speaker 1>country in the world where metal mortality is rising. And

0:17:40.036 --> 0:17:42.916
<v Speaker 1>that is really an absolute shame, considering that we spend

0:17:42.956 --> 0:17:46.036
<v Speaker 1>more than any other country on healthcare. And is that

0:17:46.476 --> 0:17:48.956
<v Speaker 1>is that for similar reasons you have these same kinds

0:17:48.996 --> 0:17:50.836
<v Speaker 1>of obstacles in the US that you have here. Yes,

0:17:50.916 --> 0:17:52.556
<v Speaker 1>they are the same three delays, but they have a

0:17:52.596 --> 0:17:55.876
<v Speaker 1>different connotation. So the second delay is not that there's

0:17:55.876 --> 0:17:57.836
<v Speaker 1>a flash fard and they can't get to The second

0:17:57.836 --> 0:18:01.356
<v Speaker 1>delays she's in a housing project and taxis won't come there.

0:18:01.436 --> 0:18:03.956
<v Speaker 1>She doesn't have money for a taxi, and she can

0:18:03.956 --> 0:18:06.076
<v Speaker 1>see the hospital, but she can't cross it because there's

0:18:06.076 --> 0:18:09.956
<v Speaker 1>a huge highway in between. So, yes, you can envision

0:18:09.996 --> 0:18:13.196
<v Speaker 1>the delays. The concepts are the same, the details are different.

0:18:13.276 --> 0:18:17.676
<v Speaker 1>Also here in this country we have slightly different causes.

0:18:17.716 --> 0:18:21.556
<v Speaker 1>In the developing world. That three big causes are woman bleeding,

0:18:21.596 --> 0:18:24.356
<v Speaker 1>which is postpartum hemorrhage, pre acclamps here, which is when

0:18:24.356 --> 0:18:27.356
<v Speaker 1>the blood pressure shoots up and you get seizures and

0:18:27.436 --> 0:18:32.156
<v Speaker 1>brain damage. The third is sepsis, which is infection. Here

0:18:32.156 --> 0:18:35.276
<v Speaker 1>in the US it is coiegulation disorders, it is how

0:18:35.316 --> 0:18:40.796
<v Speaker 1>do you askular disease, It's comordabilities, it's older woman, it's obesity.

0:18:40.876 --> 0:18:44.596
<v Speaker 1>It's also general lack of health and women not engaging

0:18:44.636 --> 0:18:48.756
<v Speaker 1>with the healthcare system. So there are similarities, there are

0:18:48.796 --> 0:18:51.716
<v Speaker 1>some nuance differences, but the bottom line is the same.

0:18:52.156 --> 0:18:56.156
<v Speaker 1>Women are dying from preventable causes, and to think that

0:18:56.196 --> 0:18:59.916
<v Speaker 1>the rate is going up in this country is just unacceptable.

0:18:59.996 --> 0:19:03.316
<v Speaker 1>I agree, it's very shocking. It's all very well talking

0:19:03.356 --> 0:19:07.676
<v Speaker 1>about technology and apps and cell phones, but how can

0:19:07.716 --> 0:19:10.836
<v Speaker 1>you use this technology parts of the world where power

0:19:10.916 --> 0:19:14.996
<v Speaker 1>is unreliable and internet connections are unreliable? Do you have

0:19:15.156 --> 0:19:19.996
<v Speaker 1>solutions for that as well? So any and all attempts

0:19:20.116 --> 0:19:25.556
<v Speaker 1>at improving health will also have to buy nature address

0:19:26.116 --> 0:19:32.316
<v Speaker 1>the data inequity gap. Yes, electricity, internet connectivity, all these

0:19:32.916 --> 0:19:37.196
<v Speaker 1>are current barriers, but these have been bridged. There are

0:19:37.276 --> 0:19:41.436
<v Speaker 1>solutions for this. They are off grade solutions. They are

0:19:41.556 --> 0:19:45.396
<v Speaker 1>offline solutions. And in fact, most of the apps that

0:19:45.596 --> 0:19:47.756
<v Speaker 1>exist in most of the ones that are working right

0:19:47.796 --> 0:19:51.876
<v Speaker 1>now in parts of Africa by large part work offline

0:19:52.236 --> 0:19:55.516
<v Speaker 1>and then when the internet connection is there, they do

0:19:55.556 --> 0:20:00.676
<v Speaker 1>the upgrading. So these are solvable by technology. But it's

0:20:00.716 --> 0:20:04.476
<v Speaker 1>that feeling that we can and should do it that

0:20:04.636 --> 0:20:06.356
<v Speaker 1>is the piece that we need to cross. And once

0:20:06.396 --> 0:20:08.316
<v Speaker 1>we've crossed that, I have a feeling we can get

0:20:08.316 --> 0:20:12.036
<v Speaker 1>to all these current barriers. Even if you would have

0:20:12.236 --> 0:20:16.076
<v Speaker 1>asked me twenty years ago if I was in charge

0:20:16.076 --> 0:20:20.356
<v Speaker 1>of all health for a coastal village that was that

0:20:20.476 --> 0:20:23.756
<v Speaker 1>was routinely hit by hurricanes, and they asked me, what

0:20:23.796 --> 0:20:26.276
<v Speaker 1>would I have to do to make to save people

0:20:26.716 --> 0:20:29.636
<v Speaker 1>when the hurricane comes. Based on what I knew then,

0:20:29.756 --> 0:20:31.996
<v Speaker 1>I would have said, Oh, we need to build more shelters,

0:20:32.036 --> 0:20:33.916
<v Speaker 1>we need to have more hospitals, we need to have

0:20:33.996 --> 0:20:36.716
<v Speaker 1>more collar of vaccines, we need to have more clean water.

0:20:37.476 --> 0:20:39.596
<v Speaker 1>How do I save the lives? Based on what I know?

0:20:40.236 --> 0:20:43.396
<v Speaker 1>But today probably the thing that saves more lives is

0:20:43.436 --> 0:20:46.876
<v Speaker 1>the weather predicting app forecast that tells me the storm

0:20:46.996 --> 0:20:50.876
<v Speaker 1>is coming and I can evacuate people. And I would

0:20:50.876 --> 0:20:53.156
<v Speaker 1>have never thought of that as saving more lives. Twenty

0:20:53.196 --> 0:20:55.996
<v Speaker 1>five years ago, I'd have built more hospitals, more shelters,

0:20:56.036 --> 0:21:00.316
<v Speaker 1>But today that single app is saving more lives than

0:21:00.556 --> 0:21:02.836
<v Speaker 1>all the things we could have done. Similarly, today, if

0:21:02.836 --> 0:21:05.436
<v Speaker 1>we were talking about how can we save these mothers

0:21:05.476 --> 0:21:09.036
<v Speaker 1>from dying, we're talking about internet connect community. We're talking

0:21:09.156 --> 0:21:12.516
<v Speaker 1>about more hospitals, better training, on and on and on.

0:21:12.636 --> 0:21:15.676
<v Speaker 1>Perhaps there's technology out there that will take us to

0:21:15.716 --> 0:21:17.956
<v Speaker 1>a completely different place. I just want to make sure

0:21:18.476 --> 0:21:20.716
<v Speaker 1>that the current barriers don't hold us back, and that

0:21:20.836 --> 0:21:23.596
<v Speaker 1>we do understand there's a data in equity and that

0:21:23.596 --> 0:21:26.556
<v Speaker 1>that is exacerbating health in equities, and what are the

0:21:26.636 --> 0:21:30.316
<v Speaker 1>obstacles to you, what's still standing in your way, what's

0:21:30.396 --> 0:21:34.636
<v Speaker 1>keeping you from bringing down the this mortality rate more quickly?

0:21:34.916 --> 0:21:38.636
<v Speaker 1>So I will I will start that by quoting doctor

0:21:38.716 --> 0:21:43.996
<v Speaker 1>Mohammad Mahmata was an obstitation is an obstacian who considered

0:21:44.036 --> 0:21:47.916
<v Speaker 1>the father of this whole concept. He very famously once said,

0:21:47.916 --> 0:21:52.476
<v Speaker 1>and I'm quoting him, women are dying not because we

0:21:52.516 --> 0:21:55.276
<v Speaker 1>don't know how to save them. They're dying because we

0:21:55.316 --> 0:21:58.396
<v Speaker 1>have yet to decide their worth saving and to live.

0:21:58.516 --> 0:22:02.356
<v Speaker 1>That it is very clear that for any of what

0:22:02.556 --> 0:22:06.556
<v Speaker 1>solutions we come up with to stick, sustain and scale

0:22:06.636 --> 0:22:10.956
<v Speaker 1>in country, first we need the country. We need a

0:22:10.996 --> 0:22:15.516
<v Speaker 1>political sustainability. We need political will. We need the policymakers,

0:22:15.516 --> 0:22:20.476
<v Speaker 1>the decision makers to decide that the woman are worth saving. Second,

0:22:20.676 --> 0:22:24.436
<v Speaker 1>we need social sustainability. We need the culture to be

0:22:24.796 --> 0:22:28.756
<v Speaker 1>where the woman is valued and where healthcare is considered

0:22:28.796 --> 0:22:32.676
<v Speaker 1>important for these women to get and to deliver in

0:22:32.676 --> 0:22:37.956
<v Speaker 1>a facility. And then we also need the commercials sustainability

0:22:37.996 --> 0:22:42.676
<v Speaker 1>that whatever systems are put in place have to benefit

0:22:42.956 --> 0:22:47.476
<v Speaker 1>society and that we do understand that these are not

0:22:47.796 --> 0:22:50.956
<v Speaker 1>just programs that we can go in and set up

0:22:51.076 --> 0:22:54.956
<v Speaker 1>as philanthropy and turn around and walk away, because we

0:22:54.996 --> 0:22:56.476
<v Speaker 1>need to teach them out of fish, and then we

0:22:56.556 --> 0:22:59.436
<v Speaker 1>need to make it commercially viable for them to fish

0:22:59.556 --> 0:23:01.356
<v Speaker 1>rather than just give them the fish. So we need

0:23:01.356 --> 0:23:04.716
<v Speaker 1>to set up systems where this is then sustained locally

0:23:04.716 --> 0:23:07.796
<v Speaker 1>within the community. So that is the barrier is how

0:23:07.796 --> 0:23:12.476
<v Speaker 1>do we sustain scale the solutions that we put in place.

0:23:12.756 --> 0:23:15.116
<v Speaker 1>But it also sounds like, you know, there are these

0:23:15.116 --> 0:23:19.036
<v Speaker 1>incredible pieces of technology available, but there's also a fundamental

0:23:19.476 --> 0:23:24.476
<v Speaker 1>emotional or psychological obstacle, which is that not everywhere do

0:23:24.556 --> 0:23:28.036
<v Speaker 1>people think that women's lives are important. Obviously that is

0:23:28.036 --> 0:23:30.716
<v Speaker 1>true here in the US too. They are countries that

0:23:30.756 --> 0:23:33.916
<v Speaker 1>have come together that have realized that saving the woman

0:23:34.036 --> 0:23:35.556
<v Speaker 1>is not just that I think to do, but it's

0:23:35.556 --> 0:23:37.956
<v Speaker 1>the smart thing to do. And there is equality and

0:23:38.476 --> 0:23:40.876
<v Speaker 1>there is no mental immortality so to speak of. So

0:23:41.916 --> 0:23:44.436
<v Speaker 1>it is just this that they are still communities and

0:23:44.796 --> 0:23:48.676
<v Speaker 1>their countries that wage political wars on women's bodies, and

0:23:48.796 --> 0:23:51.916
<v Speaker 1>even here in this country is no different. So we

0:23:51.996 --> 0:23:54.596
<v Speaker 1>need to be able to break those barriers. But just

0:23:54.636 --> 0:23:56.556
<v Speaker 1>breaking those barriers and not enough. We need to come

0:23:56.636 --> 0:24:00.036
<v Speaker 1>up with the medication technology training to then actually really

0:24:00.076 --> 0:24:05.516
<v Speaker 1>save them, because no amount of cultural training will help

0:24:05.556 --> 0:24:08.596
<v Speaker 1>the woman who needs associated section. A lot of people

0:24:08.636 --> 0:24:11.276
<v Speaker 1>listening to this might be inspired by some of the

0:24:11.356 --> 0:24:14.156
<v Speaker 1>things you've said and might like to want to try

0:24:14.156 --> 0:24:17.156
<v Speaker 1>and help solve this problem. Are there things that listeners

0:24:17.156 --> 0:24:19.476
<v Speaker 1>can do? Do you have any advice for people listening?

0:24:19.956 --> 0:24:23.236
<v Speaker 1>So the first thing, there are many organizations that are linked.

0:24:23.796 --> 0:24:26.916
<v Speaker 1>I would say, be aware, get to know it, and

0:24:26.956 --> 0:24:29.796
<v Speaker 1>if you depending on the sliding scale, whether you suggest

0:24:29.876 --> 0:24:32.556
<v Speaker 1>your pocket, whether you can give some money, whether you

0:24:32.556 --> 0:24:36.116
<v Speaker 1>can give time, whether you can give some volunteer hours work,

0:24:36.796 --> 0:24:39.036
<v Speaker 1>it's a sliding scale. I think it all depends on

0:24:39.076 --> 0:24:41.596
<v Speaker 1>where your heart is. But I think the journey should

0:24:41.596 --> 0:24:45.356
<v Speaker 1>start from educating oneself, finding out who are in this space,

0:24:45.516 --> 0:24:49.636
<v Speaker 1>and then reaching out. And obviously, the Rockefeller Foundation has

0:24:49.676 --> 0:24:52.636
<v Speaker 1>our website, and on that website there's a health section,

0:24:53.116 --> 0:24:55.476
<v Speaker 1>and then you can see how we are working towards

0:24:55.996 --> 0:25:00.316
<v Speaker 1>trying to solve this. Really powerful words from doctor Navine

0:25:00.356 --> 0:25:04.956
<v Speaker 1>Rao from the Rockefeller Foundation there about maternal mortality and

0:25:05.116 --> 0:25:08.756
<v Speaker 1>also talking about what it's really dealing with, which is

0:25:09.236 --> 0:25:13.356
<v Speaker 1>women and children's lives, and how things can change when

0:25:13.436 --> 0:25:19.636
<v Speaker 1>society decides that they are worth saving. Solvable is a

0:25:19.676 --> 0:25:24.196
<v Speaker 1>collaboration between Pushkin Industries and the Rockefella Foundation, with production

0:25:24.356 --> 0:25:28.316
<v Speaker 1>by Laura Hyde, Hester Kant, Laura Sheeter, and Ruth Barnes

0:25:28.396 --> 0:25:32.236
<v Speaker 1>from Chalk and Blade. Pushkin's executive producer is Neia LaBelle,

0:25:32.596 --> 0:25:36.796
<v Speaker 1>Research by Sheer, Vincent, engineering by Jason Gambrel and the

0:25:36.876 --> 0:25:41.636
<v Speaker 1>great folks at GSI Studios. Original music composed by Pascal

0:25:41.716 --> 0:25:46.156
<v Speaker 1>Wise and special thanks to Maggie Taylor, Heather Fine, Julia Barton,

0:25:46.516 --> 0:25:50.716
<v Speaker 1>Carly Mgliori, Jacob Weisberg, and Malcolm Gladwell. You can learn

0:25:50.756 --> 0:25:55.716
<v Speaker 1>more about solving today's biggest problems at Rockefella Foundation dot org,

0:25:55.916 --> 0:26:12.716
<v Speaker 1>slash Solvable. I'm Mave Higgins now got solvus then