"Not just small men" - how healthcare is failing women, and what can be done
776 segments
Women spend 25% more time in poor health
than men do. [music] And this carries
big economic consequences to the tune of
a lost trillion dollars of economic
opportunity [music] each year.
>> Welcome to Radio Davos, the podcast from
the World Economic Forum that looks at
the biggest challenges and how we might
solve them. This week, why do women tend
to get worse health outcomes than men?
And what are some simple cost-effective
ways to make that better? So women
[music] spend 25% more time in poor
health than men do. And many people
think that that [music] makes sense that
because women live longer than men that
they would spend more time in poor
health because it's concentrated at the
end of life. But [music] actually that
big health gap happens during women's
prime working years. It's actually much
more pronounced between ages 20 to
[music] 60 and that is why it has such
huge economic implications taking women
out of the workforce. A report from the
World Economic Forum and the McKenzie
Health Institute sets out three
relatively simple ways that health
systems around the world could improve
women's health outcomes, [music]
including when it comes to the massive
killer heart disease.
>> Women are 50% more likely to die in the
year following a heart attack than
[music] men are. We're leaving
opportunity on the table in terms of how
we can help those women be in better
health.
>> Follow Radio Davos wherever you get
podcast or visit. podcast, we'll also
find Meet the Leader and a gender
dialogues. I'm Robin Pomeroy with this
look at how to improve the health of
women, but also of children and of
[music] men.
>> So, if we want better health for
everyone, we really need to put that
study of sex-based differences front
[music] and center.
>> This is Radio Davos.
>> Welcome to Radio Davos. And on this
episode, we're talking about health and
in particular women's health. And to
help me with that, I'm joined by my
guest Lucy Perez. Hi, Lucy. How are you?
I'm doing well, Robin. Thanks for having
me.
>> Tell us what you do.
>> I am uh a senior partner at McKinzian
Company where I'm also one of the global
co-leaders of the McKenzie Health
Institute. And the Mckenzie Health
Institute, we have what I consider the
best mission, how to add years to life
and life to years. And one of the things
that we've realized in looking at how
much progress we've made in terms of
growing human lifespan is that we have
not done the same when it comes to
health span. the amount of time that we
spend in good health. And a big reason
for that is because we have been have
not been looking at sex-based
differences and thinking about how male
biology and female biology are
different. So, I'm excited to spend some
time today talking about how we can
close that women's health gap.
>> And you've recently published this
report with the World Economic Forum,
Care for Women, investing in care
delivery to improve women's lives and
livelihoods.
How do you pitch that report? What's
what's the elevator pitch for it?
>> I will put that report in context first
because I think that may be helpful for
folks who are not familiar with this. We
started a partnership with the World
Economic Forum 3 years ago under the
premise of understanding the economic
impact of investing in women's health.
As part of doing that work, we showed
that women spend 25% more time in poor
health than men do. And this carries big
economic consequences to the tune of a
lost trillion dollars of economic
opportunity each year. And about a third
of what drives that are gaps in care
delivery. And so this latest report is
showcasing how we can address those gaps
in care delivery to help women have many
more days in good health and as a result
have stronger economies for everyone.
>> Give us that figure again. H how much
more percentage of of their life does a
woman spend in ill health? So women
spend 25% more time in poor health than
men do. And many people think that that
makes sense that because women live
longer than men that they would spend
more time in poor health because it's
concentrated at the end of life. But
actually what we showed is that that big
health gap happens during women's prime
working years. It's actually much more
pronounced between ages 20 to 60. And
that is why it has such huge economic
implications taking women out of the
workforce. Another reason you might say
potentially it's logical is women give
birth and this is a huge stress on the
body.
>> It is a huge stress on the body. But
actually what we found is the majority
of the gap ties to conditions that
impact both men and women but that
impact women disproportionately or
differently. Heart disease is a perfect
example. Women, for example, are 50%
more likely to die in the year following
a heart attack than men are. And
interestingly is because people often
say, "Oh, women present in atypical
fashion." But the reality is women are
51% of the population. So is that really
atypical or do we need to think
differently again about male biology
versus female biology and follow the
science and what it shows us.
>> So interesting. Right. Atypical meaning
not like a man.
>> Exactly.
>> Right. Okay. All right. Now, this
report, what you've done is identify
three kind of concrete cases of what
could be done to improve this. And I'll
just quote a bit. Actually, this is from
your blog. I don't know if this is also
a line taken from the report. You wrote
a blog for the World Economic Forum.
Link in the show notes to that. Well
worth reading. It's a very um concise
kind of summary of what's in this
report. But here's the line that should
surprise people.
Investing in preventative care such as
integrated screenings and standardized
reporting could create health care
system savings delivering a three to six
times return.
>> Those are massive numbers, right? Very
attractive when you think about that
value of prevention and investing
earlier to avoid downstream worse
events. So what we did is we said we
wanted to take a look at three
conditions that allowed us to understand
what is happening today. What are those
pain points that women experience in
their care journey and focus on things
that happen to a lot of women. So one of
the things we did was look at pregnancy.
There's over 200 million births every
year, right? Women who are going through
pregnancy each year. There's also about
200 million women who are getting a
mammogram each year. And in both of
these circumstances, what we find is
that we're leaving opportunity on the
table in terms of how we can help those
women be in better health. So take the
mamogram, right? It is well known as a
breast cancer diagnostic. But what many
people don't realize, it can also be a
great indicator of heart health. Because
on mammograms, we can take a look at
breast arterial calcification. This is
the buildup of calcium in your arteries
there. And by looking at that, we can
get an indication of how much more
likely that woman is to have a
cardiovascular event. And because we can
detect it earlier, especially if she's
getting routine annual mammogs, we can
intervene earlier and help prevent a
cardiovascular event down the line. So
you're talking about an intervention
that today maybe I'm going to use you as
numbers cost you on the order of
hundreds of dollars to avert something
that can cost multiple hundreds of
thousands of dollars to treat. That's
how you get that very positive ROI.
>> So the situation is in
countries where women are regularly
getting mamograms which is a screening
of the breast for breast cancer. If you
added a bit of a bit extra,
>> I would argue it's not adding. It's
literally annotating that mamogram.
>> It's the same
>> it's the same test, right? The same
image that's giving you that information
that just needs to be annotated in a
standard way, right? So you can compare
and contrast over time against different
populations. That's all we need to do.
>> Is it already happening? Does that are
there clinics where they'll say, "Okay,
we're going to screen you for cancer,
but we'll also give you an idea of
whether you're at risk of heart
disease."
>> Indeed, there's a few places um
primarily in highincome countries that
are indeed beginning to incorporate this
that they will also even have a standard
of care for how to report on breast
arterial calcification. But the reality,
it's very much the minority. And that's
why we hope this work helps shine a
light on it and reflect anywhere where a
mammogram is happening, whether you're
talking about a high-income country or a
lowincome country, but anywhere that a
mammogram is taking place, that there's
that opportunity to annotate for breast
arterial calcification that then
triggers a referral sometimes to a
primary care physician, sometimes to a
cardiologist depending on the severity
of that measure so that that woman is
better looked after.
Have you any any anecdotal evidence of
this? Do you know women who've actually
experienced this?
>> I do. I I mean sadly um too many, right?
That um because the reality is I live in
the United States, right? And and their
routine mamograms are are fairly common.
And so what what you often find is that
in some instances I have a friend who
literally went for her mamogram last
week and she was asking me what should I
ask about right because she's been
hearing me talk about preparing for
launching this report and I said you
should ask your doctor the radiologist
to comment on your breast arterial
calcification
and she did and he asked why.
That speaks to the change that needs to
happen, right? That everyone needs to
understand this is an opportunity, a
screening opportunity that we have that
it's not costing anything additional and
that ultimately can help save lives. In
her case, you know, after a lot of back
and forth, right, it was clear he said
she didn't have any meaningful breast
arterial calcification, but what if she
had had and she had missed that
opportunity to then go consult with a
cardiologist, for example.
Now you mentioned the differences
between richer countries health systems
and poorer ones.
Some countries won't have regular
mammograms won't be set up for that. In
other countries where there's maybe a
state
um health care system like most
countries in Europe, I wonder if there's
a reluctance to kind of seek out
underlying illnesses that are there
because if they do detect that patient
has potentially a heart disease. Oh no.
Well, they've got to spend more than
diagnosing and treating that. You would
be saying, well, they'll end up if they
don't with a heart attack victim. is
going to cost them a lot of money. Is
that so?
>> It is exactly the business case of
prevention, right? That by intervening
earlier when you have that data, not
only do you improve the odds for that
patient of having a better health
outcome, but you do it in a way that
costs the health system a lot less.
>> Let's look at um the other ones. So,
we've got three as I mentioned your
report. That's one. You already
mentioned one of the other ones which is
pregnancy. So tell us how you could
enhance women's experience there.
>> So when women are pregnant, that's
actually the period of their life that
they typically are most engaged with the
health system, right? Much more
frequently going to the doctor, getting
tests. Um and what we see is that it is
not uncommon for many women to
experience hypertensive disorders like
preeacclampsia or gestational diabetes
during pregnancy. Those women who
experience that during pregnancy, it's
almost like the canary in the coal mine
if if you've heard that expression,
right? They are twice as likely to
develop more serious heart disease later
in life. But what often happens is that
those women while they're being
monitored, their condition is being
treated. But the moment they give birth
and typically, you know, preeclampsia
goes away, right? gestational diabetes
has been managed.
The health system almost forgets that
she has had those conditions and there's
no proactive care management and
monitoring. So then years later, decades
later, heart disease shows up in an
aggressive form that had this been
monitored much more routinely, right? If
when she was going to the doctor year
down the line talking about some
symptoms, that doctor is able to make
the connection to that gestational
diabetes she had years earlier, you
would again have a much healthier
outcome and a reduction in the number of
adverse events related to that
underlying heart disease that went
unchecked for so long.
>> And it's so important to to know if you
are at risk of heart disease because
it's a silent kill. I have a certain
amount of personal experience. I have to
say I won't go into that here, but it
can grab you out of the blue and there
are risk factors, genetic factors,
whatever. But you're saying women with
those conditions that can appear during
pregnancy are, did you say twice as
likely as the average to have that? So,
they really should be looking into it.
>> I mean, heart disease is the number one
killer of women globally, right? And so
here you have a couple of instances
where you're getting that alert, right?
Like that flashing red light. We should
be paying attention a little bit more
closely because we can help that women
live healthier longer. I'll cite these
figures. I mean, you probably know them
off the top of your head, but I'll just
read from the report here. Improving
follow-up and long-term care costs about
$400 to $450 per woman.
far lower than the cost of treating a
major cardiovascular event, which you're
talking about upwards of $100,000.
In the US alone, this could avert
between 6 and $25 million
in avoided costs, roughly a three to
five times return on investment, which
was my initial question.
>> Exactly.
>> How do you come to that figure? Well,
that that's how you do. Let's look at
the third one then which is perinatal
depression. Um just tell us what that is
and what you found there.
>> Yeah. Um as we did this work we work
with a consortium of more than 20 health
systems around the world representing
five continents. Earlier you were
talking about how do we make sure we
solve not just for those high inome
countries but we wanted to make sure we
were representing you know a wide
variety. And I start by saying that
because when we started this work, you
can say we had a bias towards we wanted
to look at postpartum depression. And
one of the big learnings from doing this
work with the consortium members is that
actually we're thinking of it too
narrowly because it doesn't begin
postpartum and we should be thinking
truly about perinatal depression and
begin to look for the signs of
depression earlier in pregnancy.
>> So perinatal would mean the whole period
before, during, after. Exactly. From the
moment basically the woman is pregnant
all the way typically to the year after
delivery is what we're looking at. And
it is really important because today
when you look at the data and the data
that we have is most focused on
postpartum about 20% of women experience
postpartum depression. When you look
broader right that number is naturally
going to grow. And we know from some
real world evidence that indeed in many
instances it'll manifest earlier than
birth. And this becomes really important
because by the way this is a condition
that has a lot of stigma associated with
it. It also has a lot of validated tools
for how we can screen and check if a
woman is experiencing paranatal
depression. And so by giving it a voice,
by making it standard and leveraging
these tools that already exist that have
been clinically validated and think
about how they can be incorporated
earlier, any one of these times that the
woman is engaging with the health system
during her pregnancy,
we again increase the odds of helping
her be healthier and her child because
we see the correlation between the
mental health of the mother and the
health of that baby. So, it's a question
of kind of integrating
the mental health awareness and
treatment and diagnosis into the wider
health care for a pregnant woman.
>> Exactly. And distigmatizing it, right?
So that we're indeed making sure that
we're identifying earlier, intervening
earlier to get into those better health
and economic outcomes.
>> It all makes perfect sense. So do do you
now go to health systems and they all
welcome you with open arms and say
thanks for finding ways to save us
multi-millions of dollars on or or is it
trickier than that to turn these kind of
policy suggestions into reality? Well,
the reality is that health systems are
very complex as I think we all know and
experience it every day. And that is one
of the things that we wanted to do with
this work is really understand where are
those discontinuities in care because if
it if this were easy to do, it would
have happened already, right? There's a
lot of good intent towards improving
health outcomes overall. In this case,
we have the evidence, so we know what it
takes. But what has been really
challenging is to connect the dots,
right? It is to think about what is for
example the diagnostic tool that I'm
putting in place. I'm thinking the
screening that I may do for example for
paranatal depression. Then what do I
need to activate? Think in the case of
the mamogram. So that when the breast
arterial calcification score is high,
how do I help make that transfer happen
of the data, the information of
connecting the patient to the right
cardiovascular specialist? Those things
are not easy to do typically in health
systems. They're part of different
departments, different budgets. And so
what we've tried to do working with the
consortium members is actually integrate
in one place what is the suite of
changes that need to happen. And by the
way, recognize that health systems
really vary in terms of the resources
they have. Some are very tech enabled,
right? So you can think about what's a
clinical decision support tool that you
want to code to facilitate those
transfers. Others are much more manual,
right? In terms of how things happen. So
in the work that we did, we really try
to solve for different levels of
maturity, resources, sophistication that
health systems have so that we can bring
not only a perspective on look at all
the value at stake but look at the
changes that need to happen in terms of
the capabilities you have, the processes
that you need to change and the
technology that you want to put in place
to facilitate that more seamless
journey.
>> People get excited about technology,
don't they? and particularly artificial
intelligence at the moment. I wonder if
some of that enthusiasm and hype maybe
overshadows
some kind of simpler, more human things
to say, well, okay, I you came here for
cancer, but let's also remember we've
got some great information now that
might relate to heart disease. That's,
you know, it doesn't take
a huge leap in technology to arrive at a
system that just works better with what
you already have. Do you think sometimes
kind of sensible policy gets kind of
drowned out by some of the excitement
over AI which oh we can use AI to look
at that mamogram and find this that and
the other. Yes. But if you're not using
it to to deliver this outcome for
patients it's what's the difference? I
mean clearly there's a lot of enthusiasm
about AI right I don't think you can
have any conversation in health these
days without touching on it but
essential to AI is the quality of the
data right that you're feeding the
models when it comes to women's health
for too long we've actually almost
forgotten to ask the question of sex as
a biological variable and that is
foundational because even during co
there were data sets that were not coded
for sex if you don't do that coding You
don't know if there's a sexbased
difference. And so when you go and ask
about what are those basics that need to
happen, that is number one. Are we
collecting? Are we counting right the
women who are for example participating
in the trial that are in the health
system and then doing the the studying
right asking the question of are there
sex-based differences? Because back to
what we were talking about earlier with
the atypical presentation, that
rationale that is, you know, very
misinformed when talking about the
different outcomes in cardiovascular
disease. If we're not tracking that data
from a sexbased perspective, we cannot
have the doctor who's using clinical
decision support software is looking at
how that woman manifests in when she
shows up to the emergency room and he
may think she has indigestion because
the symptoms are not matching the male
physiology, right? And so I get very
excited about especially in places like
these where we have the evidence, how is
that evidence translating into better
clinical decision support tools that for
example one of those first variables
should be oh I'm talking to a female
patient.
What should I be looking for? It may be
different than what I would be looking
for if I'm looking at a male.
>> So Lucy, tell me
kind of h how your journey
towards this happened. Did you have an
aha moment when it was like, "Oh my
goodness,
this has just not been taken into
account by clinicians, by by
researchers, the fact that women are
different from men [laughter]
in a lot of these things. You know, was
was there a moment? Is there an incident
that happened? Did you read a paper? Did
you have a personal experience? You
thought, hold on a minute, you know,
that woman found out she didn't have
indigestion. she had a disease or
whatever it was.
>> Part of it at first is a collection of
small moments that happen, but then
indeed I I I will speak to to two things
um that happen. one is um I've always
been very passionate about health equity
and one of the things that always struck
me when we were looking at health equity
is that we didn't really talk about sex
and gender as a variable in health
equity and so that made me very curious
to start looking at the data and so many
years ago
>> so what what were what were you talking
about then when it came to equity
>> there's much more focus on racial
disparities or geographic disparities
which are extremely important, right? Um
but back then what struck me was why are
we not also talking about sex and
gender, right? And so that took me down
a path with some colleagues in having
conversations about this. I'm a
scientist by training. You know, I have
a PhD in organic chemistry, so asking
questions is something that comes very
very naturally. to take a look at some
of the data around conditions that are
unique to women and unique to men and
understand do we see any differences in
how they're diagnosed or does the sex of
the doctor doing the diagnosis change it
answer
and this paper right what what we showed
was that actually conditions that are
unique to women are diagnosed much less
frequently than those that are unique to
men. And then when you doubleclick on
what was the sex of the provider doing
that diagnosis, you see that
men tend to diagnose male specific
conditions in the same rate that women
diagnose male specific conditions. But
when you're looking at women's specific
conditions, males doctors diagnose them
a lot less. And so that was probably one
of for me like seeing that data it
really struck me. Then the next thing
was having a friend who suffered from
endometriosis
really wanting to learn more about this
condition because until I got to in a
way live it side by side with her.
Frankly I didn't know much about it and
now I'm embarrassed that I didn't know
more about it earlier because
endometriosis impacts one in 10 women.
It's actually the same numbers as
diabetes. One in 10 women suffer from
diabetes. But yet you look at diabetes
and we have so many options to treat,
right? We don't, you know, there's still
plenty of room for more innovation, but
you know, there's multiple products in
the marketplace, more than 500 drugs in
clinical development, and yet you look
at endometriosis
and you say, okay, same numbers, one in
10 women, and yet no approved drugs and
only about 20 clinical drugs in
development. It's a very stark
difference.
And so that was the beginning of wanting
to know more. And I think then the big
insight for me was
it is about so much more than the
conditions that are unique to women. And
that is when you realize for example
heart disease was probably the most
shocking to me that we just don't talk
enough about those sex-based differences
in heart disease. And again that's the
number one killer of women. And when you
start going through the data, you just
find over and over again that sex-based
differences are much more prevalent than
not. But yet, for so long, we've
operated in a world that assumes there
are no sex-based differences. So, if we
want better health outcomes for
everyone, cuz by the way, sometimes it
it is to men's, you know, disadvantage
on the sex-based differences. So, if we
want better health for everyone, we
really need to put that study of
sex-based differences front and center.
endometriosis. We did an episode of
Radio Davos on that. It's going back two
or three years now. If if you're
listening to this and you have never
heard of endometriosis.
A lot of people haven't, but as you say,
it's very very common and it's
chronically underdiagnosed.
Most women almost never get it diagnosed
first, second, third time they visit the
doctor. I'd invite people to go back and
listen to to that episode. I wonder when
you have conversations about this issue
now, does does it ever kind of butt up
against gender politics and kind of uh
identity politics? Do you find that that
there's kind of a a pendulum that shifts
away that it's actually it's a bit
sensitive now to talk about women's
health or are we and I hope you're going
to say no that's not the case. People
are grown up and sensible and we talk
about this normally. Is there a
political aspect to this?
>> What I would say is for too long, I
mean, you were talking about doctors,
right, and the biases they may bring to
the table. It is not surprising because
medical schools were not teaching
sex-based differences, right? We just
again were not asking the question. What
you're finding now increasingly is a
recognition that women are not just
small men, right? for too long when we
thought about it is we have to adjust
the dose because women on average are
physically smaller than men and that
takes care of it. I think fortunately
what we're seeing now is that people are
understanding we're talking science,
we're talking human biology. Women are
different from men not only in terms of
their reproductive organs, but it's it's
genetics, right? It's hormones. It's
it's so many more variables. And it's
actually really fascinating scientific
questions that are getting asked now.
Why is it that women are more likely to
suffer dementias, right? And when you
think about what's going to be a massive
cost burden to society, dementia is very
high on that list. It is hard to imagine
that we're going to solve and think
about the cure for dementia without
taking into account the understanding of
sex-based differences. So while it is
true that there's a lot of debates, you
know, I I think the majority of folks
recognize that we're talking about we
need to do good science, with good
science, we fuel good clinical care that
takes us to better health outcomes and
stronger economies.
>> People can find that report uh links to
it in the show notes to this episode.
Where can they find out more about the
work you and uh the Mckenzie Health
Institute do? um they should check us
out online Mckenzie Health Institute
which you can find at mckiny.com
and we hope that folks will also look
for ways to take action right because I
think what's really important in this
space is I mean the first step towards
action is educating yourself right
building awareness about closing the
women's health gap but then all of us
have a role to play whether it's the
next conversation you're having with
your doctor where you're asking about
those sexbased differences or the ways
where you think you want to contribute
economically or in other ways to
advancing the science and the innovation
that will help us close the women's
health gap. I would just encourage all
our listeners to [music] to take action.
>> Lucy Perez, thanks very much for joining
us on Radio Devils.
>> Thanks so much, Robin.
Ask follow-up questions or revisit key timestamps.
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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