A smarter, more precise way to think about public health | Sue Desmond-Hellmann

170,897 views ・ 2016-06-22

TED


Please double-click on the English subtitles below to play the video.

00:14
OK, first, some introductions.
0
14222
2666
00:17
My mom, Jennie, took this picture.
1
17919
2223
00:21
That's my dad, Frank, in the middle.
2
21158
2339
00:24
And on his left, my sisters:
3
24139
2144
00:26
Mary Catherine, Judith Ann, Theresa Marie.
4
26766
4025
00:30
John Patrick's sitting on his lap and Kevin Michael's on his right.
5
30815
3924
00:35
And in the pale-blue windbreaker,
6
35739
2473
00:38
Susan Diane. Me.
7
38236
2145
00:41
I loved growing up in a big family.
8
41491
3128
00:45
And one of my favorite things was picking names.
9
45159
3673
00:49
But by the time child number seven came along,
10
49924
3445
00:53
we had nearly run out of middle names.
11
53393
2317
00:57
It was a long deliberation
12
57075
1842
00:58
before we finally settled on Jennifer Bridget.
13
58941
4007
01:04
Every parent in this audience
14
64353
2731
01:07
knows the joy and excitement
15
67108
2624
01:09
of picking a new baby's name.
16
69756
2438
01:12
And I was excited and thrilled
17
72913
1922
01:14
to help my mom in that special ceremonial moment.
18
74859
3703
01:19
But it's not like that everywhere.
19
79824
2039
01:23
I travel a lot and I see a lot.
20
83163
2683
01:26
But it took me by surprise to learn
21
86273
3093
01:29
in an area of Ethiopia,
22
89390
2179
01:31
parents delay picking the names for their new babies
23
91593
3681
01:35
by a month or more.
24
95298
1551
01:37
Why delay?
25
97908
1417
01:40
Why not take advantage of this special ceremonial time?
26
100278
3367
01:44
Well, they delay because they're afraid.
27
104423
2397
01:48
They're afraid their baby will die.
28
108007
2217
01:51
And this loss might be a little more bearable without a name.
29
111080
5150
01:57
A face without a name might help them feel
30
117248
3905
02:01
just a little less attached.
31
121177
2769
02:05
So here we are in one part of the world --
32
125019
2477
02:07
a time of joy, excitement, dreaming of the future of that child --
33
127520
4741
02:12
while in another world,
34
132893
2262
02:15
parents are filled with dread,
35
135179
2920
02:18
not daring to dream of a future for their child
36
138123
3575
02:21
beyond a few precious weeks.
37
141722
1866
02:24
How can that be?
38
144789
1396
02:27
How can it be that 2.6 million babies
39
147189
5485
02:32
die around the world
40
152698
1794
02:34
before they're even one month old?
41
154516
2420
02:37
2.6 million.
42
157926
1975
02:41
That's the population of Vancouver.
43
161034
2319
02:44
And the shocking thing is:
44
164512
2119
02:47
Why?
45
167043
1298
02:48
In too many cases, we simply don't know.
46
168365
3770
02:53
Now, I remember recently seeing an updated pie chart.
47
173145
4126
02:57
And the pie chart was labeled,
48
177295
2168
02:59
"Causes of death in children under five worldwide."
49
179487
3512
03:03
And there was a pretty big section of that pie chart, about 40 percent --
50
183838
4045
03:07
40 percent was labeled "neonatal."
51
187907
3362
03:12
Now, "neonatal" is not a cause of death.
52
192077
2377
03:14
Neonatal is simply an adjective,
53
194920
2767
03:17
an adjective that means that the child is less than one month old.
54
197711
4868
03:23
For me, "neonatal" said: "We have no idea."
55
203656
4357
03:29
Now, I'm a scientist. I'm a doctor.
56
209100
2170
03:31
I want to fix things.
57
211294
1493
03:33
But you can't fix what you can't define.
58
213580
3865
03:38
So our first step in restoring the dreams of those parents
59
218227
4768
03:43
is to answer the question:
60
223019
2177
03:45
Why are babies dying?
61
225220
1949
03:48
So today, I want to talk about a new approach,
62
228359
3735
03:52
an approach that I feel
63
232118
1937
03:54
will not only help us know why babies are dying,
64
234079
4684
03:59
but is beginning to completely transform
65
239367
3377
04:02
the whole field of global health.
66
242768
1784
04:06
It's called "Precision Public Health."
67
246235
3126
04:10
For me, precision medicine comes from a very special place.
68
250615
5000
04:16
I trained as a cancer doctor, an oncologist.
69
256894
2807
04:20
I got into it because I wanted to help people feel better.
70
260079
3618
04:24
But too often my treatments made them feel worse.
71
264491
3805
04:29
I still remember young women being driven to my clinic
72
269277
4736
04:34
by their moms --
73
274550
1194
04:36
adults, who had to be helped into my exam room by their mothers.
74
276611
4799
04:42
They were so weak
75
282791
1160
04:43
from the treatment I had given them.
76
283975
2229
04:47
But at the time, in those front lines in the war on cancer,
77
287283
4200
04:51
we had few tools.
78
291507
1634
04:54
And the tools we did have couldn't differentiate
79
294030
3692
04:57
between the cancer cells that we wanted to hit hard
80
297746
3274
05:01
and those healthy cells that we wanted to preserve.
81
301670
3439
05:06
And so the side effects that you're all very familiar with --
82
306663
2955
05:09
hair loss, being sick to your stomach,
83
309642
2834
05:12
having a suppressed immune system, so infection was a constant threat --
84
312500
4114
05:17
were always surrounding us.
85
317179
2785
05:20
And then I moved to the biotechnology industry.
86
320985
2709
05:24
And I got to work on a new approach for breast cancer patients
87
324269
4080
05:28
that could do a better job of telling the healthy cells
88
328373
5001
05:33
from the unhealthy or cancer cells.
89
333398
2342
05:36
It's a drug called Herceptin.
90
336566
2023
05:39
And what Herceptin allowed us to do
91
339343
3236
05:42
is to precisely target HER2-positive breast cancer,
92
342603
5211
05:49
at the time, the scariest form of breast cancer.
93
349036
2682
05:52
And that precision let us hit hard the cancer cells,
94
352091
3835
05:56
while sparing and being more gentle on the normal cells.
95
356727
4090
06:02
A huge breakthrough.
96
362441
1716
06:04
It felt like a miracle,
97
364181
2080
06:07
so much so that today,
98
367091
2949
06:10
we're harnessing all those tools --
99
370064
2531
06:13
big data, consumer monitoring, gene sequencing and more --
100
373156
5524
06:18
to tackle a broad variety of diseases.
101
378704
3321
06:23
That's allowing us to target individuals
102
383044
5069
06:28
with the right remedies at the right time.
103
388137
3284
06:32
Precision medicine revolutionized cancer therapy.
104
392731
4460
06:37
Everything changed.
105
397655
1602
06:40
And I want everything to change again.
106
400187
3121
06:44
So I've been asking myself:
107
404214
2252
06:46
Why should we limit
108
406490
1818
06:48
this smarter, more precise, better way to tackle diseases
109
408332
4809
06:53
to the rich world?
110
413165
1163
06:56
Now, don't misunderstand me --
111
416105
1512
06:57
I'm not talking about bringing expensive medicines like Herceptin
112
417641
3326
07:00
to the developing world,
113
420991
1885
07:02
although I'd actually kind of like that.
114
422900
2250
07:05
What I am talking about
115
425707
1965
07:07
is moving from this precise targeting for individuals
116
427696
4368
07:12
to tackle public health problems
117
432088
2643
07:14
in populations.
118
434755
1741
07:18
Now, OK, I know probably you're thinking, "She's crazy.
119
438487
4583
07:23
You can't do that. That's too ambitious."
120
443094
2992
07:26
But here's the thing:
121
446830
1502
07:29
we're already doing this in a limited way,
122
449180
3298
07:32
and it's already starting to make a big difference.
123
452502
3070
07:36
So here's what's happening.
124
456606
1529
07:38
Now, I told you I trained as a cancer doctor.
125
458952
2590
07:41
But like many, many doctors who trained in San Francisco in the '80s,
126
461566
4449
07:46
I also trained as an AIDS doctor.
127
466039
2091
07:49
It was a terrible time.
128
469077
1608
07:51
AIDS was a death sentence.
129
471504
2038
07:54
All my patients died.
130
474385
1626
07:57
Now, things are better,
131
477329
1904
07:59
but HIV/AIDS remains a terrible global challenge.
132
479257
4579
08:04
Worldwide, about 17 million women are living with HIV.
133
484473
5451
08:10
We know that when these women become pregnant,
134
490744
3297
08:14
they can transfer the virus to their baby.
135
494065
2613
08:18
We also know in the absence of therapy,
136
498551
2252
08:20
half those babies will not survive until the age of two.
137
500827
3483
08:25
But we know that antiretroviral therapy can virtually guarantee
138
505446
5137
08:30
that she will not transmit the virus to the baby.
139
510607
2951
08:33
So what do we do?
140
513860
1381
08:35
Well, a one-size-fits-all approach, kind of like that blast of chemo,
141
515708
4562
08:40
would mean we test and treat every pregnant woman in the world.
142
520294
3180
08:43
That would do the job.
143
523952
1381
08:45
But it's just not practical.
144
525889
2252
08:49
So instead, we target those areas where HIV rates are the highest.
145
529223
5640
08:55
We know in certain countries in sub-Saharan Africa
146
535444
4377
08:59
we can test and treat pregnant women where rates are highest.
147
539845
4162
09:04
This precision approach to a public health problem
148
544794
3158
09:07
has cut by nearly half
149
547976
2401
09:10
HIV transmission from mothers to baby
150
550401
2755
09:13
in the last five years.
151
553180
1834
09:15
(Applause)
152
555485
4365
09:20
Screening pregnant women in certain areas in the developing world
153
560945
5062
09:26
is a powerful example
154
566031
3104
09:29
of how precision public health can change things on a big scale.
155
569159
5515
09:36
So ...
156
576452
1151
09:38
How do we do that?
157
578213
1177
09:39
We can do that because we know.
158
579414
2165
09:41
We know who to target,
159
581896
2318
09:44
what to target,
160
584238
1687
09:45
where to target and how to target.
161
585949
2292
09:48
And that, for me, are the important elements of precision public health:
162
588685
4302
09:53
who, what, where and how.
163
593780
2288
09:57
But let's go back to the 2.6 million babies
164
597814
3901
10:01
who die before they're one month old.
165
601739
2017
10:03
Here's the problem: we just don't know.
166
603780
2260
10:06
It may seem unbelievable,
167
606753
2464
10:09
but the way we figure out the causes of infant mortality
168
609241
4863
10:14
in those countries with the highest infant mortality
169
614128
3011
10:17
is a conversation with mom.
170
617163
1996
10:19
A health worker asks a mom who has just lost her child,
171
619948
4378
10:24
"Was the baby vomiting? Did they have a fever?"
172
624350
3669
10:28
And that conversation may take place
173
628043
1949
10:30
as long as three months after the baby has died.
174
630016
3911
10:34
Now, put yourself in the shoes of that mom.
175
634951
3148
10:39
It's a heartbreaking, excruciating conversation.
176
639239
3956
10:43
And even worse -- it's not that helpful,
177
643833
2929
10:47
because we might know there was a fever or vomiting,
178
647635
2953
10:50
but we don't know why.
179
650612
1713
10:53
So in the absence of knowing that knowledge,
180
653171
3482
10:56
we cannot prevent that mom, that family,
181
656677
2982
10:59
or other families in that community
182
659683
2098
11:01
from suffering the same tragedy.
183
661805
1948
11:04
But what if we applied a precision public health approach?
184
664804
3474
11:09
Let's say, for example,
185
669064
1394
11:10
we find out in certain areas of Africa
186
670482
2934
11:13
that babies are dying because of a bacterial infection
187
673440
3746
11:17
transferred from the mother to the baby,
188
677210
2547
11:19
known as Group B streptococcus.
189
679781
2473
11:22
In the absence of treatment, mom has a seven times higher chance
190
682999
5512
11:28
that her next baby will die.
191
688535
2200
11:32
Once we define the problem, we can prevent that death
192
692124
3901
11:36
with something as cheap and safe as penicillin.
193
696049
4083
11:41
We can do that because then we'll know.
194
701894
2551
11:45
And that's the point:
195
705034
1532
11:46
once we know, we can bring the right interventions
196
706590
3436
11:50
to the right population in the right places
197
710050
3539
11:53
to save lives.
198
713613
1423
11:56
With this approach, and with these interventions
199
716973
3752
12:00
and others like them,
200
720749
2025
12:02
I have no doubt
201
722798
1711
12:04
that a precision public health approach
202
724533
2547
12:07
can help our world achieve our 15-year goal.
203
727104
3486
12:11
And that would translate into a million babies' lives saved
204
731423
4329
12:15
every single year.
205
735776
1637
12:18
One million babies every single year.
206
738253
4310
12:23
And why would we stop there?
207
743706
1842
12:26
A much more powerful approach to public health --
208
746319
3297
12:29
imagine what might be possible.
209
749640
2765
12:32
Why couldn't we more effectively tackle malnutrition?
210
752912
3389
12:37
Why wouldn't we prevent cervical cancer in women?
211
757643
4277
12:42
And why not eradicate malaria?
212
762832
2818
12:45
(Applause)
213
765674
1001
12:46
Yes, clap for that!
214
766699
1213
12:47
(Applause)
215
767936
3928
12:51
So, you know, I live in two different worlds,
216
771888
2843
12:54
one world populated by scientists,
217
774755
3208
12:58
and another world populated by public health professionals.
218
778590
3897
13:03
The promise of precision public health
219
783319
2428
13:05
is to bring these two worlds together.
220
785771
2324
13:08
But you know, we all live in two worlds:
221
788876
3545
13:13
the rich world and the poor world.
222
793254
3079
13:17
And what I'm most excited about about precision public health
223
797760
3850
13:21
is bridging these two worlds.
224
801634
2459
13:25
Every day in the rich world,
225
805051
3020
13:28
we're bringing incredible talent and tools --
226
808095
3255
13:31
everything at our disposal --
227
811374
1959
13:33
to precisely target diseases in ways I never imagined
228
813357
4913
13:38
would be possible.
229
818294
1834
13:40
Surely, we can tap into that kind of talent and tools
230
820152
5016
13:45
to stop babies dying in the poor world.
231
825192
2438
13:49
If we did,
232
829201
2049
13:51
then every parent would have the confidence
233
831274
4057
13:55
to name their child the moment that child is born,
234
835355
4328
14:00
daring to dream that that child's life will be measured in decades,
235
840746
5185
14:06
not days.
236
846498
1244
14:08
Thank you.
237
848330
1151
14:09
(Applause)
238
849505
7632
About this website

This site will introduce you to YouTube videos that are useful for learning English. You will see English lessons taught by top-notch teachers from around the world. Double-click on the English subtitles displayed on each video page to play the video from there. The subtitles scroll in sync with the video playback. If you have any comments or requests, please contact us using this contact form.

https://forms.gle/WvT1wiN1qDtmnspy7