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"Not just small men" - how healthcare is failing women, and what can be done

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"Not just small men" - how healthcare is failing women, and what can be done

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776 segments

0:02

Women spend 25% more time in poor health

0:05

than men do. [music] And this carries

0:07

big economic consequences to the tune of

0:09

a lost trillion dollars of economic

0:11

opportunity [music] each year.

0:12

>> Welcome to Radio Davos, the podcast from

0:14

the World Economic Forum that looks at

0:16

the biggest challenges and how we might

0:17

solve them. This week, why do women tend

0:20

to get worse health outcomes than men?

0:22

And what are some simple cost-effective

0:24

ways to make that better? So women

0:26

[music] spend 25% more time in poor

0:28

health than men do. And many people

0:31

think that that [music] makes sense that

0:33

because women live longer than men that

0:35

they would spend more time in poor

0:36

health because it's concentrated at the

0:38

end of life. But [music] actually that

0:40

big health gap happens during women's

0:42

prime working years. It's actually much

0:44

more pronounced between ages 20 to

0:45

[music] 60 and that is why it has such

0:48

huge economic implications taking women

0:50

out of the workforce. A report from the

0:52

World Economic Forum and the McKenzie

0:54

Health Institute sets out three

0:56

relatively simple ways that health

0:58

systems around the world could improve

0:59

women's health outcomes, [music]

1:01

including when it comes to the massive

1:02

killer heart disease.

1:04

>> Women are 50% more likely to die in the

1:07

year following a heart attack than

1:08

[music] men are. We're leaving

1:10

opportunity on the table in terms of how

1:13

we can help those women be in better

1:15

health.

1:16

>> Follow Radio Davos wherever you get

1:17

podcast or visit. podcast, we'll also

1:20

find Meet the Leader and a gender

1:21

dialogues. I'm Robin Pomeroy with this

1:23

look at how to improve the health of

1:25

women, but also of children and of

1:27

[music] men.

1:27

>> So, if we want better health for

1:29

everyone, we really need to put that

1:31

study of sex-based differences front

1:33

[music] and center.

1:34

>> This is Radio Davos.

1:37

>> Welcome to Radio Davos. And on this

1:39

episode, we're talking about health and

1:40

in particular women's health. And to

1:43

help me with that, I'm joined by my

1:45

guest Lucy Perez. Hi, Lucy. How are you?

1:48

I'm doing well, Robin. Thanks for having

1:50

me.

1:50

>> Tell us what you do.

1:52

>> I am uh a senior partner at McKinzian

1:54

Company where I'm also one of the global

1:56

co-leaders of the McKenzie Health

1:58

Institute. And the Mckenzie Health

2:00

Institute, we have what I consider the

2:02

best mission, how to add years to life

2:04

and life to years. And one of the things

2:07

that we've realized in looking at how

2:09

much progress we've made in terms of

2:11

growing human lifespan is that we have

2:14

not done the same when it comes to

2:15

health span. the amount of time that we

2:17

spend in good health. And a big reason

2:19

for that is because we have been have

2:22

not been looking at sex-based

2:23

differences and thinking about how male

2:26

biology and female biology are

2:28

different. So, I'm excited to spend some

2:31

time today talking about how we can

2:32

close that women's health gap.

2:35

>> And you've recently published this

2:37

report with the World Economic Forum,

2:39

Care for Women, investing in care

2:42

delivery to improve women's lives and

2:45

livelihoods.

2:47

How do you pitch that report? What's

2:48

what's the elevator pitch for it?

2:51

>> I will put that report in context first

2:52

because I think that may be helpful for

2:54

folks who are not familiar with this. We

2:56

started a partnership with the World

2:58

Economic Forum 3 years ago under the

3:00

premise of understanding the economic

3:02

impact of investing in women's health.

3:04

As part of doing that work, we showed

3:06

that women spend 25% more time in poor

3:09

health than men do. And this carries big

3:11

economic consequences to the tune of a

3:13

lost trillion dollars of economic

3:15

opportunity each year. And about a third

3:19

of what drives that are gaps in care

3:21

delivery. And so this latest report is

3:24

showcasing how we can address those gaps

3:27

in care delivery to help women have many

3:29

more days in good health and as a result

3:31

have stronger economies for everyone.

3:33

>> Give us that figure again. H how much

3:37

more percentage of of their life does a

3:38

woman spend in ill health? So women

3:40

spend 25% more time in poor health than

3:43

men do. And many people think that that

3:46

makes sense that because women live

3:48

longer than men that they would spend

3:49

more time in poor health because it's

3:51

concentrated at the end of life. But

3:53

actually what we showed is that that big

3:56

health gap happens during women's prime

3:58

working years. It's actually much more

4:00

pronounced between ages 20 to 60. And

4:03

that is why it has such huge economic

4:04

implications taking women out of the

4:06

workforce. Another reason you might say

4:09

potentially it's logical is women give

4:12

birth and this is a huge stress on the

4:15

body.

4:16

>> It is a huge stress on the body. But

4:18

actually what we found is the majority

4:20

of the gap ties to conditions that

4:21

impact both men and women but that

4:24

impact women disproportionately or

4:27

differently. Heart disease is a perfect

4:29

example. Women, for example, are 50%

4:32

more likely to die in the year following

4:34

a heart attack than men are. And

4:37

interestingly is because people often

4:39

say, "Oh, women present in atypical

4:42

fashion." But the reality is women are

4:44

51% of the population. So is that really

4:47

atypical or do we need to think

4:49

differently again about male biology

4:52

versus female biology and follow the

4:55

science and what it shows us.

4:57

>> So interesting. Right. Atypical meaning

5:00

not like a man.

5:02

>> Exactly.

5:02

>> Right. Okay. All right. Now, this

5:05

report, what you've done is identify

5:09

three kind of concrete cases of what

5:13

could be done to improve this. And I'll

5:16

just quote a bit. Actually, this is from

5:18

your blog. I don't know if this is also

5:19

a line taken from the report. You wrote

5:21

a blog for the World Economic Forum.

5:23

Link in the show notes to that. Well

5:25

worth reading. It's a very um concise

5:28

kind of summary of what's in this

5:29

report. But here's the line that should

5:32

surprise people.

5:34

Investing in preventative care such as

5:36

integrated screenings and standardized

5:38

reporting could create health care

5:40

system savings delivering a three to six

5:44

times return.

5:46

>> Those are massive numbers, right? Very

5:48

attractive when you think about that

5:49

value of prevention and investing

5:52

earlier to avoid downstream worse

5:55

events. So what we did is we said we

5:58

wanted to take a look at three

5:59

conditions that allowed us to understand

6:02

what is happening today. What are those

6:04

pain points that women experience in

6:06

their care journey and focus on things

6:08

that happen to a lot of women. So one of

6:11

the things we did was look at pregnancy.

6:13

There's over 200 million births every

6:16

year, right? Women who are going through

6:18

pregnancy each year. There's also about

6:21

200 million women who are getting a

6:23

mammogram each year. And in both of

6:26

these circumstances, what we find is

6:28

that we're leaving opportunity on the

6:30

table in terms of how we can help those

6:33

women be in better health. So take the

6:35

mamogram, right? It is well known as a

6:39

breast cancer diagnostic. But what many

6:41

people don't realize, it can also be a

6:44

great indicator of heart health. Because

6:46

on mammograms, we can take a look at

6:48

breast arterial calcification. This is

6:51

the buildup of calcium in your arteries

6:53

there. And by looking at that, we can

6:56

get an indication of how much more

6:58

likely that woman is to have a

7:00

cardiovascular event. And because we can

7:02

detect it earlier, especially if she's

7:04

getting routine annual mammogs, we can

7:07

intervene earlier and help prevent a

7:10

cardiovascular event down the line. So

7:12

you're talking about an intervention

7:14

that today maybe I'm going to use you as

7:16

numbers cost you on the order of

7:18

hundreds of dollars to avert something

7:21

that can cost multiple hundreds of

7:24

thousands of dollars to treat. That's

7:26

how you get that very positive ROI.

7:28

>> So the situation is in

7:33

countries where women are regularly

7:35

getting mamograms which is a screening

7:38

of the breast for breast cancer. If you

7:40

added a bit of a bit extra,

7:43

>> I would argue it's not adding. It's

7:45

literally annotating that mamogram.

7:47

>> It's the same

7:48

>> it's the same test, right? The same

7:51

image that's giving you that information

7:53

that just needs to be annotated in a

7:56

standard way, right? So you can compare

7:59

and contrast over time against different

8:02

populations. That's all we need to do.

8:05

>> Is it already happening? Does that are

8:06

there clinics where they'll say, "Okay,

8:08

we're going to screen you for cancer,

8:09

but we'll also give you an idea of

8:11

whether you're at risk of heart

8:12

disease."

8:12

>> Indeed, there's a few places um

8:15

primarily in highincome countries that

8:17

are indeed beginning to incorporate this

8:19

that they will also even have a standard

8:21

of care for how to report on breast

8:23

arterial calcification. But the reality,

8:26

it's very much the minority. And that's

8:29

why we hope this work helps shine a

8:31

light on it and reflect anywhere where a

8:34

mammogram is happening, whether you're

8:36

talking about a high-income country or a

8:38

lowincome country, but anywhere that a

8:40

mammogram is taking place, that there's

8:43

that opportunity to annotate for breast

8:45

arterial calcification that then

8:47

triggers a referral sometimes to a

8:49

primary care physician, sometimes to a

8:51

cardiologist depending on the severity

8:54

of that measure so that that woman is

8:56

better looked after.

8:59

Have you any any anecdotal evidence of

9:02

this? Do you know women who've actually

9:04

experienced this?

9:05

>> I do. I I mean sadly um too many, right?

9:09

That um because the reality is I live in

9:14

the United States, right? And and their

9:16

routine mamograms are are fairly common.

9:18

And so what what you often find is that

9:22

in some instances I have a friend who

9:24

literally went for her mamogram last

9:26

week and she was asking me what should I

9:29

ask about right because she's been

9:31

hearing me talk about preparing for

9:33

launching this report and I said you

9:35

should ask your doctor the radiologist

9:38

to comment on your breast arterial

9:39

calcification

9:41

and she did and he asked why.

9:46

That speaks to the change that needs to

9:49

happen, right? That everyone needs to

9:51

understand this is an opportunity, a

9:54

screening opportunity that we have that

9:56

it's not costing anything additional and

9:58

that ultimately can help save lives. In

10:01

her case, you know, after a lot of back

10:03

and forth, right, it was clear he said

10:06

she didn't have any meaningful breast

10:08

arterial calcification, but what if she

10:10

had had and she had missed that

10:12

opportunity to then go consult with a

10:14

cardiologist, for example.

10:17

Now you mentioned the differences

10:20

between richer countries health systems

10:23

and poorer ones.

10:26

Some countries won't have regular

10:28

mammograms won't be set up for that. In

10:30

other countries where there's maybe a

10:32

state

10:34

um health care system like most

10:35

countries in Europe, I wonder if there's

10:38

a reluctance to kind of seek out

10:42

underlying illnesses that are there

10:44

because if they do detect that patient

10:46

has potentially a heart disease. Oh no.

10:50

Well, they've got to spend more than

10:52

diagnosing and treating that. You would

10:55

be saying, well, they'll end up if they

10:57

don't with a heart attack victim. is

10:59

going to cost them a lot of money. Is

11:01

that so?

11:01

>> It is exactly the business case of

11:03

prevention, right? That by intervening

11:05

earlier when you have that data, not

11:08

only do you improve the odds for that

11:10

patient of having a better health

11:11

outcome, but you do it in a way that

11:13

costs the health system a lot less.

11:16

>> Let's look at um the other ones. So,

11:18

we've got three as I mentioned your

11:19

report. That's one. You already

11:21

mentioned one of the other ones which is

11:24

pregnancy. So tell us how you could

11:28

enhance women's experience there.

11:31

>> So when women are pregnant, that's

11:32

actually the period of their life that

11:34

they typically are most engaged with the

11:36

health system, right? Much more

11:38

frequently going to the doctor, getting

11:41

tests. Um and what we see is that it is

11:44

not uncommon for many women to

11:46

experience hypertensive disorders like

11:49

preeacclampsia or gestational diabetes

11:51

during pregnancy. Those women who

11:54

experience that during pregnancy, it's

11:56

almost like the canary in the coal mine

11:58

if if you've heard that expression,

12:00

right? They are twice as likely to

12:02

develop more serious heart disease later

12:04

in life. But what often happens is that

12:07

those women while they're being

12:09

monitored, their condition is being

12:12

treated. But the moment they give birth

12:15

and typically, you know, preeclampsia

12:18

goes away, right? gestational diabetes

12:20

has been managed.

12:22

The health system almost forgets that

12:24

she has had those conditions and there's

12:26

no proactive care management and

12:29

monitoring. So then years later, decades

12:32

later, heart disease shows up in an

12:35

aggressive form that had this been

12:37

monitored much more routinely, right? If

12:40

when she was going to the doctor year

12:42

down the line talking about some

12:44

symptoms, that doctor is able to make

12:45

the connection to that gestational

12:47

diabetes she had years earlier, you

12:50

would again have a much healthier

12:52

outcome and a reduction in the number of

12:55

adverse events related to that

12:57

underlying heart disease that went

12:59

unchecked for so long.

13:01

>> And it's so important to to know if you

13:05

are at risk of heart disease because

13:07

it's a silent kill. I have a certain

13:08

amount of personal experience. I have to

13:10

say I won't go into that here, but it

13:13

can grab you out of the blue and there

13:15

are risk factors, genetic factors,

13:18

whatever. But you're saying women with

13:20

those conditions that can appear during

13:22

pregnancy are, did you say twice as

13:24

likely as the average to have that? So,

13:28

they really should be looking into it.

13:30

>> I mean, heart disease is the number one

13:31

killer of women globally, right? And so

13:34

here you have a couple of instances

13:37

where you're getting that alert, right?

13:38

Like that flashing red light. We should

13:41

be paying attention a little bit more

13:43

closely because we can help that women

13:45

live healthier longer. I'll cite these

13:48

figures. I mean, you probably know them

13:50

off the top of your head, but I'll just

13:52

read from the report here. Improving

13:55

follow-up and long-term care costs about

13:57

$400 to $450 per woman.

14:01

far lower than the cost of treating a

14:05

major cardiovascular event, which you're

14:07

talking about upwards of $100,000.

14:10

In the US alone, this could avert

14:13

between 6 and $25 million

14:17

in avoided costs, roughly a three to

14:20

five times return on investment, which

14:22

was my initial question.

14:23

>> Exactly.

14:24

>> How do you come to that figure? Well,

14:25

that that's how you do. Let's look at

14:27

the third one then which is perinatal

14:30

depression. Um just tell us what that is

14:32

and what you found there.

14:34

>> Yeah. Um as we did this work we work

14:37

with a consortium of more than 20 health

14:39

systems around the world representing

14:41

five continents. Earlier you were

14:43

talking about how do we make sure we

14:45

solve not just for those high inome

14:46

countries but we wanted to make sure we

14:48

were representing you know a wide

14:50

variety. And I start by saying that

14:53

because when we started this work, you

14:55

can say we had a bias towards we wanted

14:57

to look at postpartum depression. And

15:00

one of the big learnings from doing this

15:02

work with the consortium members is that

15:04

actually we're thinking of it too

15:06

narrowly because it doesn't begin

15:08

postpartum and we should be thinking

15:09

truly about perinatal depression and

15:12

begin to look for the signs of

15:14

depression earlier in pregnancy.

15:17

>> So perinatal would mean the whole period

15:20

before, during, after. Exactly. From the

15:22

moment basically the woman is pregnant

15:24

all the way typically to the year after

15:27

delivery is what we're looking at. And

15:30

it is really important because today

15:32

when you look at the data and the data

15:34

that we have is most focused on

15:35

postpartum about 20% of women experience

15:38

postpartum depression. When you look

15:41

broader right that number is naturally

15:43

going to grow. And we know from some

15:45

real world evidence that indeed in many

15:47

instances it'll manifest earlier than

15:50

birth. And this becomes really important

15:52

because by the way this is a condition

15:54

that has a lot of stigma associated with

15:56

it. It also has a lot of validated tools

16:01

for how we can screen and check if a

16:04

woman is experiencing paranatal

16:06

depression. And so by giving it a voice,

16:09

by making it standard and leveraging

16:11

these tools that already exist that have

16:13

been clinically validated and think

16:15

about how they can be incorporated

16:17

earlier, any one of these times that the

16:19

woman is engaging with the health system

16:21

during her pregnancy,

16:23

we again increase the odds of helping

16:26

her be healthier and her child because

16:29

we see the correlation between the

16:32

mental health of the mother and the

16:33

health of that baby. So, it's a question

16:36

of kind of integrating

16:39

the mental health awareness and

16:42

treatment and diagnosis into the wider

16:46

health care for a pregnant woman.

16:47

>> Exactly. And distigmatizing it, right?

16:49

So that we're indeed making sure that

16:51

we're identifying earlier, intervening

16:55

earlier to get into those better health

16:57

and economic outcomes.

17:00

>> It all makes perfect sense. So do do you

17:02

now go to health systems and they all

17:05

welcome you with open arms and say

17:07

thanks for finding ways to save us

17:10

multi-millions of dollars on or or is it

17:13

trickier than that to turn these kind of

17:15

policy suggestions into reality? Well,

17:17

the reality is that health systems are

17:20

very complex as I think we all know and

17:22

experience it every day. And that is one

17:25

of the things that we wanted to do with

17:26

this work is really understand where are

17:30

those discontinuities in care because if

17:33

it if this were easy to do, it would

17:35

have happened already, right? There's a

17:37

lot of good intent towards improving

17:40

health outcomes overall. In this case,

17:42

we have the evidence, so we know what it

17:44

takes. But what has been really

17:47

challenging is to connect the dots,

17:49

right? It is to think about what is for

17:51

example the diagnostic tool that I'm

17:54

putting in place. I'm thinking the

17:55

screening that I may do for example for

17:57

paranatal depression. Then what do I

17:59

need to activate? Think in the case of

18:01

the mamogram. So that when the breast

18:03

arterial calcification score is high,

18:06

how do I help make that transfer happen

18:09

of the data, the information of

18:11

connecting the patient to the right

18:13

cardiovascular specialist? Those things

18:16

are not easy to do typically in health

18:18

systems. They're part of different

18:20

departments, different budgets. And so

18:23

what we've tried to do working with the

18:24

consortium members is actually integrate

18:27

in one place what is the suite of

18:29

changes that need to happen. And by the

18:32

way, recognize that health systems

18:34

really vary in terms of the resources

18:36

they have. Some are very tech enabled,

18:38

right? So you can think about what's a

18:40

clinical decision support tool that you

18:42

want to code to facilitate those

18:44

transfers. Others are much more manual,

18:47

right? In terms of how things happen. So

18:50

in the work that we did, we really try

18:51

to solve for different levels of

18:54

maturity, resources, sophistication that

18:57

health systems have so that we can bring

18:59

not only a perspective on look at all

19:01

the value at stake but look at the

19:04

changes that need to happen in terms of

19:06

the capabilities you have, the processes

19:08

that you need to change and the

19:10

technology that you want to put in place

19:12

to facilitate that more seamless

19:14

journey.

19:15

>> People get excited about technology,

19:17

don't they? and particularly artificial

19:19

intelligence at the moment. I wonder if

19:23

some of that enthusiasm and hype maybe

19:26

overshadows

19:29

some kind of simpler, more human things

19:31

to say, well, okay, I you came here for

19:35

cancer, but let's also remember we've

19:37

got some great information now that

19:39

might relate to heart disease. That's,

19:42

you know, it doesn't take

19:44

a huge leap in technology to arrive at a

19:48

system that just works better with what

19:50

you already have. Do you think sometimes

19:53

kind of sensible policy gets kind of

19:55

drowned out by some of the excitement

19:57

over AI which oh we can use AI to look

20:01

at that mamogram and find this that and

20:02

the other. Yes. But if you're not using

20:04

it to to deliver this outcome for

20:07

patients it's what's the difference? I

20:09

mean clearly there's a lot of enthusiasm

20:11

about AI right I don't think you can

20:13

have any conversation in health these

20:15

days without touching on it but

20:17

essential to AI is the quality of the

20:19

data right that you're feeding the

20:20

models when it comes to women's health

20:23

for too long we've actually almost

20:26

forgotten to ask the question of sex as

20:28

a biological variable and that is

20:30

foundational because even during co

20:32

there were data sets that were not coded

20:35

for sex if you don't do that coding You

20:38

don't know if there's a sexbased

20:40

difference. And so when you go and ask

20:43

about what are those basics that need to

20:45

happen, that is number one. Are we

20:47

collecting? Are we counting right the

20:50

women who are for example participating

20:52

in the trial that are in the health

20:54

system and then doing the the studying

20:57

right asking the question of are there

20:59

sex-based differences? Because back to

21:01

what we were talking about earlier with

21:03

the atypical presentation, that

21:06

rationale that is, you know, very

21:08

misinformed when talking about the

21:10

different outcomes in cardiovascular

21:12

disease. If we're not tracking that data

21:15

from a sexbased perspective, we cannot

21:17

have the doctor who's using clinical

21:20

decision support software is looking at

21:22

how that woman manifests in when she

21:24

shows up to the emergency room and he

21:27

may think she has indigestion because

21:29

the symptoms are not matching the male

21:32

physiology, right? And so I get very

21:35

excited about especially in places like

21:36

these where we have the evidence, how is

21:39

that evidence translating into better

21:41

clinical decision support tools that for

21:44

example one of those first variables

21:46

should be oh I'm talking to a female

21:47

patient.

21:49

What should I be looking for? It may be

21:51

different than what I would be looking

21:52

for if I'm looking at a male.

21:55

>> So Lucy, tell me

21:58

kind of h how your journey

22:00

towards this happened. Did you have an

22:03

aha moment when it was like, "Oh my

22:06

goodness,

22:09

this has just not been taken into

22:11

account by clinicians, by by

22:14

researchers, the fact that women are

22:16

different from men [laughter]

22:18

in a lot of these things. You know, was

22:20

was there a moment? Is there an incident

22:22

that happened? Did you read a paper? Did

22:25

you have a personal experience? You

22:26

thought, hold on a minute, you know,

22:28

that woman found out she didn't have

22:30

indigestion. she had a disease or

22:33

whatever it was.

22:35

>> Part of it at first is a collection of

22:37

small moments that happen, but then

22:39

indeed I I I will speak to to two things

22:42

um that happen. one is um I've always

22:47

been very passionate about health equity

22:50

and one of the things that always struck

22:52

me when we were looking at health equity

22:55

is that we didn't really talk about sex

22:59

and gender as a variable in health

23:02

equity and so that made me very curious

23:06

to start looking at the data and so many

23:09

years ago

23:10

>> so what what were what were you talking

23:12

about then when it came to equity

23:14

>> there's much more focus on racial

23:16

disparities or geographic disparities

23:19

which are extremely important, right? Um

23:22

but back then what struck me was why are

23:24

we not also talking about sex and

23:27

gender, right? And so that took me down

23:30

a path with some colleagues in having

23:32

conversations about this. I'm a

23:34

scientist by training. You know, I have

23:36

a PhD in organic chemistry, so asking

23:38

questions is something that comes very

23:40

very naturally. to take a look at some

23:43

of the data around conditions that are

23:45

unique to women and unique to men and

23:49

understand do we see any differences in

23:52

how they're diagnosed or does the sex of

23:55

the doctor doing the diagnosis change it

23:59

answer

24:01

and this paper right what what we showed

24:03

was that actually conditions that are

24:06

unique to women are diagnosed much less

24:08

frequently than those that are unique to

24:11

men. And then when you doubleclick on

24:16

what was the sex of the provider doing

24:18

that diagnosis, you see that

24:22

men tend to diagnose male specific

24:25

conditions in the same rate that women

24:28

diagnose male specific conditions. But

24:30

when you're looking at women's specific

24:32

conditions, males doctors diagnose them

24:35

a lot less. And so that was probably one

24:37

of for me like seeing that data it

24:40

really struck me. Then the next thing

24:42

was having a friend who suffered from

24:44

endometriosis

24:46

really wanting to learn more about this

24:49

condition because until I got to in a

24:51

way live it side by side with her.

24:53

Frankly I didn't know much about it and

24:56

now I'm embarrassed that I didn't know

24:58

more about it earlier because

25:00

endometriosis impacts one in 10 women.

25:03

It's actually the same numbers as

25:05

diabetes. One in 10 women suffer from

25:08

diabetes. But yet you look at diabetes

25:10

and we have so many options to treat,

25:14

right? We don't, you know, there's still

25:17

plenty of room for more innovation, but

25:19

you know, there's multiple products in

25:20

the marketplace, more than 500 drugs in

25:23

clinical development, and yet you look

25:25

at endometriosis

25:27

and you say, okay, same numbers, one in

25:30

10 women, and yet no approved drugs and

25:33

only about 20 clinical drugs in

25:36

development. It's a very stark

25:38

difference.

25:40

And so that was the beginning of wanting

25:43

to know more. And I think then the big

25:45

insight for me was

25:47

it is about so much more than the

25:49

conditions that are unique to women. And

25:52

that is when you realize for example

25:55

heart disease was probably the most

25:56

shocking to me that we just don't talk

25:59

enough about those sex-based differences

26:01

in heart disease. And again that's the

26:03

number one killer of women. And when you

26:05

start going through the data, you just

26:08

find over and over again that sex-based

26:10

differences are much more prevalent than

26:13

not. But yet, for so long, we've

26:15

operated in a world that assumes there

26:17

are no sex-based differences. So, if we

26:20

want better health outcomes for

26:21

everyone, cuz by the way, sometimes it

26:23

it is to men's, you know, disadvantage

26:26

on the sex-based differences. So, if we

26:28

want better health for everyone, we

26:30

really need to put that study of

26:32

sex-based differences front and center.

26:34

endometriosis. We did an episode of

26:36

Radio Davos on that. It's going back two

26:39

or three years now. If if you're

26:41

listening to this and you have never

26:42

heard of endometriosis.

26:46

A lot of people haven't, but as you say,

26:48

it's very very common and it's

26:51

chronically underdiagnosed.

26:54

Most women almost never get it diagnosed

26:57

first, second, third time they visit the

26:58

doctor. I'd invite people to go back and

27:00

listen to to that episode. I wonder when

27:03

you have conversations about this issue

27:06

now, does does it ever kind of butt up

27:09

against gender politics and kind of uh

27:13

identity politics? Do you find that that

27:15

there's kind of a a pendulum that shifts

27:18

away that it's actually it's a bit

27:20

sensitive now to talk about women's

27:21

health or are we and I hope you're going

27:24

to say no that's not the case. People

27:27

are grown up and sensible and we talk

27:28

about this normally. Is there a

27:30

political aspect to this?

27:31

>> What I would say is for too long, I

27:34

mean, you were talking about doctors,

27:36

right, and the biases they may bring to

27:37

the table. It is not surprising because

27:40

medical schools were not teaching

27:42

sex-based differences, right? We just

27:44

again were not asking the question. What

27:47

you're finding now increasingly is a

27:49

recognition that women are not just

27:51

small men, right? for too long when we

27:53

thought about it is we have to adjust

27:55

the dose because women on average are

27:57

physically smaller than men and that

27:59

takes care of it. I think fortunately

28:01

what we're seeing now is that people are

28:03

understanding we're talking science,

28:05

we're talking human biology. Women are

28:08

different from men not only in terms of

28:10

their reproductive organs, but it's it's

28:12

genetics, right? It's hormones. It's

28:15

it's so many more variables. And it's

28:17

actually really fascinating scientific

28:19

questions that are getting asked now.

28:23

Why is it that women are more likely to

28:25

suffer dementias, right? And when you

28:28

think about what's going to be a massive

28:30

cost burden to society, dementia is very

28:32

high on that list. It is hard to imagine

28:35

that we're going to solve and think

28:37

about the cure for dementia without

28:39

taking into account the understanding of

28:41

sex-based differences. So while it is

28:43

true that there's a lot of debates, you

28:46

know, I I think the majority of folks

28:48

recognize that we're talking about we

28:50

need to do good science, with good

28:52

science, we fuel good clinical care that

28:56

takes us to better health outcomes and

28:57

stronger economies.

28:59

>> People can find that report uh links to

29:01

it in the show notes to this episode.

29:05

Where can they find out more about the

29:07

work you and uh the Mckenzie Health

29:10

Institute do? um they should check us

29:12

out online Mckenzie Health Institute

29:14

which you can find at mckiny.com

29:17

and we hope that folks will also look

29:20

for ways to take action right because I

29:22

think what's really important in this

29:24

space is I mean the first step towards

29:26

action is educating yourself right

29:29

building awareness about closing the

29:31

women's health gap but then all of us

29:33

have a role to play whether it's the

29:35

next conversation you're having with

29:36

your doctor where you're asking about

29:38

those sexbased differences or the ways

29:40

where you think you want to contribute

29:42

economically or in other ways to

29:45

advancing the science and the innovation

29:47

that will help us close the women's

29:49

health gap. I would just encourage all

29:51

our listeners to [music] to take action.

29:54

>> Lucy Perez, thanks very much for joining

29:56

us on Radio Devils.

29:57

>> Thanks so much, Robin.

Interactive Summary

This episode of Radio Davos features Lucy Perez from the McKinsey Health Institute discussing a report created in partnership with the World Economic Forum. The report highlights that women spend 25% more time in poor health than men, largely during their prime working years, resulting in a trillion-dollar economic impact. Perez explains that this gap is largely due to systemic failures in care delivery, rather than just biological differences, and outlines three key areas for improvement: enhancing heart health screenings during mammograms, improving follow-up care for pregnancy-related conditions, and better addressing perinatal depression. The episode emphasizes that prioritizing the study of sex-based differences is essential for better health outcomes for both women and men.

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